{
 "cells": [
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    "ExecuteTime": {
     "end_time": "2021-06-11T09:24:53.643384Z",
     "start_time": "2021-06-11T09:24:53.622385Z"
    }
   },
   "source": [
    "# CO2 Emission Analysis and Prediction\n",
    "\n",
    "## PART 2: Analysis Notebook\n",
    "\n",
    "### AiGlass \n",
    "`Seeing Through Data`\n",
    "\n",
    "© Explore AI\n",
    "\n",
    "---\n",
    "<img src=\"https://static.vecteezy.com/system/resources/thumbnails/004/691/349/small/co2-carbon-dioxide-footprint-concept-with-people-analysis-carbondioxide-with-modern-flat-style-free-vector.jpg\" width=70%/>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5c28b72",
   "metadata": {},
   "source": [
    "**Warning:** We are not climate scientists, some things may be inaccurate. This is simply just a study on a subject we are interested in, allowing us to go deeper into the subject while at the same time improving our graphing and prediction skills. All my sources are at the bottom of the notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05600c92",
   "metadata": {},
   "source": [
    "<a id=\"cont\"></a>\n",
    "\n",
    "## Table of Contents\n",
    "\n",
    "<a href=#one>1. Importing Packages</a>\n",
    "\n",
    "<a href=#two>2. Loading Data</a>\n",
    "\n",
    "<a href=#three>3. Exploratory Data Analysis (EDA)</a>\n",
    "\n",
    "<a href=#four>4. Feature Engineering</a>\n",
    "\n",
    "<a href=#five>5. Extract Modeling Data</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "997462e2",
   "metadata": {},
   "source": [
    " <a id=\"one\"></a>\n",
    "## 1. Importing Packages\n",
    "<a href=#cont>Back to Table of Contents</a>\n",
    "\n",
    "---\n",
    "    \n",
    "| ⚡ Description: Importing Packages ⚡ |\n",
    "| :--------------------------- |\n",
    "| In this section we will be importing libraries used throughout our analysis and modelling which will allow us to call functions that are not part of your main python program, and briefly discuss them.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "475dbe93",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-23T10:30:53.800892Z",
     "start_time": "2021-06-23T10:30:50.215449Z"
    }
   },
   "outputs": [],
   "source": [
    "# Libraries for Anaysis\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy import stats\n",
    "from scipy.stats import norm\n",
    "import math\n",
    "\n",
    "# Libraries for Plotting Analysis\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "\n",
    "# Setting Plot Design \n",
    "sns.set_style(\"darkgrid\", {\"axes.facecolor\": \"#eff2f5\", 'grid.color': '#c0ccd8', \n",
    "                           'patch.edgecolor': '#B0B0B0', 'font.sans-serif': 'Verdana'})\n",
    "sns.set_palette('Dark2_r')\n",
    "plt.rc('font', size=19)\n",
    "plt.rc('axes', titlesize=25)\n",
    "plt.rc('axes', labelsize=20)\n",
    "plt.rc('xtick', labelsize=17)\n",
    "plt.rc('ytick', labelsize=17)\n",
    "plt.rc('figure', titlesize=24)\n",
    "\n",
    "# Extra Plotting Tools Required for Bar Chart Race\n",
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.animation as animation\n",
    "from IPython.display import HTML\n",
    "import missingno as msno\n",
    "\n",
    "# For standardizing features\n",
    "from sklearn.preprocessing import StandardScaler      \n",
    "\n",
    "# Mute warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f22a6718",
   "metadata": {},
   "source": [
    "<a id=\"two\"></a>\n",
    "## 2. Loading the Data\n",
    "<a class=\"anchor\" id=\"1.1\"></a>\n",
    "<a href=#cont>Back to Table of Contents</a>\n",
    "\n",
    "---\n",
    "    \n",
    "| ⚡ Description: Loading the data ⚡ |\n",
    "| :--------------------------- |\n",
    "| In this section we will be loading the data from the CSV and EXCEL files into Pandas DataFrames. |\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fbbb6c18",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T08:49:35.311495Z",
     "start_time": "2021-06-28T08:49:35.295494Z"
    }
   },
   "outputs": [],
   "source": [
    "# Load Base Data\n",
    "df = pd.read_csv(\"data/Our_CO2emission_Analysis_Data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "92a851d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0', 'Country', 'e_type', 'Year', 'e_con', 'e_prod', 'GDP',\n",
       "       'Population', 'ei_capita', 'ei_gdp', 'pop_growth', 'pop_density',\n",
       "       'Manuf_GDP', 'Agric_GDP', 'Deforestation', 'emission_per_cap',\n",
       "       'CO2_emission'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eb99056f",
   "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>Unnamed: 0</th>\n",
       "      <th>Country</th>\n",
       "      <th>e_type</th>\n",
       "      <th>Year</th>\n",
       "      <th>e_con</th>\n",
       "      <th>e_prod</th>\n",
       "      <th>GDP</th>\n",
       "      <th>Population</th>\n",
       "      <th>ei_capita</th>\n",
       "      <th>ei_gdp</th>\n",
       "      <th>pop_growth</th>\n",
       "      <th>pop_density</th>\n",
       "      <th>Manuf_GDP</th>\n",
       "      <th>Agric_GDP</th>\n",
       "      <th>Deforestation</th>\n",
       "      <th>emission_per_cap</th>\n",
       "      <th>CO2_emission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>World</td>\n",
       "      <td>all</td>\n",
       "      <td>1988</td>\n",
       "      <td>345.56</td>\n",
       "      <td>347.41</td>\n",
       "      <td>42106.6</td>\n",
       "      <td>4927545.08</td>\n",
       "      <td>70.13</td>\n",
       "      <td>8.21</td>\n",
       "      <td>1.77</td>\n",
       "      <td>39.285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2233.75513</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.004295</td>\n",
       "      <td>21163.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>World</td>\n",
       "      <td>coal</td>\n",
       "      <td>1988</td>\n",
       "      <td>96.87</td>\n",
       "      <td>98.48</td>\n",
       "      <td>42106.6</td>\n",
       "      <td>4927545.08</td>\n",
       "      <td>70.13</td>\n",
       "      <td>8.21</td>\n",
       "      <td>1.77</td>\n",
       "      <td>39.285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2233.75513</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001812</td>\n",
       "      <td>8930.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>World</td>\n",
       "      <td>nat_gas</td>\n",
       "      <td>1988</td>\n",
       "      <td>71.01</td>\n",
       "      <td>71.85</td>\n",
       "      <td>42106.6</td>\n",
       "      <td>4927545.08</td>\n",
       "      <td>70.13</td>\n",
       "      <td>8.21</td>\n",
       "      <td>1.77</td>\n",
       "      <td>39.285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2233.75513</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000725</td>\n",
       "      <td>3571.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>World</td>\n",
       "      <td>pet/oth</td>\n",
       "      <td>1988</td>\n",
       "      <td>133.45</td>\n",
       "      <td>132.49</td>\n",
       "      <td>42106.6</td>\n",
       "      <td>4927545.08</td>\n",
       "      <td>70.13</td>\n",
       "      <td>8.21</td>\n",
       "      <td>1.77</td>\n",
       "      <td>39.285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2233.75513</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001758</td>\n",
       "      <td>8661.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>World</td>\n",
       "      <td>nuclear</td>\n",
       "      <td>1988</td>\n",
       "      <td>19.23</td>\n",
       "      <td>19.23</td>\n",
       "      <td>42106.6</td>\n",
       "      <td>4927545.08</td>\n",
       "      <td>70.13</td>\n",
       "      <td>8.21</td>\n",
       "      <td>1.77</td>\n",
       "      <td>39.285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2233.75513</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 Country   e_type  Year   e_con  e_prod      GDP  Population  \\\n",
       "0           0   World      all  1988  345.56  347.41  42106.6  4927545.08   \n",
       "1           1   World     coal  1988   96.87   98.48  42106.6  4927545.08   \n",
       "2           2   World  nat_gas  1988   71.01   71.85  42106.6  4927545.08   \n",
       "3           3   World  pet/oth  1988  133.45  132.49  42106.6  4927545.08   \n",
       "4           4   World  nuclear  1988   19.23   19.23  42106.6  4927545.08   \n",
       "\n",
       "   ei_capita  ei_gdp  pop_growth  pop_density  Manuf_GDP   Agric_GDP  \\\n",
       "0      70.13    8.21        1.77       39.285        NaN  2233.75513   \n",
       "1      70.13    8.21        1.77       39.285        NaN  2233.75513   \n",
       "2      70.13    8.21        1.77       39.285        NaN  2233.75513   \n",
       "3      70.13    8.21        1.77       39.285        NaN  2233.75513   \n",
       "4      70.13    8.21        1.77       39.285        NaN  2233.75513   \n",
       "\n",
       "   Deforestation  emission_per_cap  CO2_emission  \n",
       "0            NaN          0.004295      21163.84  \n",
       "1            NaN          0.001812       8930.92  \n",
       "2            NaN          0.000725       3571.68  \n",
       "3            NaN          0.001758       8661.24  \n",
       "4            NaN          0.000000          0.00  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View first 5 rows of Loaded Base Data\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0fd7b630",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop Unamed Column\n",
    "df = df.drop('Unnamed: 0', axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d9ed280",
   "metadata": {},
   "source": [
    "**Column descriptions:**\n",
    " 1. **Country** - Country in question\n",
    " 2. **Energy_type** - Type of energy source\n",
    " 3. **Year** - Year the data was recorded\n",
    " 4. **Energy_consumption** - Amount of Consumption for the specific energy source, measured (quad Btu)\n",
    " 5. **Energy_production** - Amount of Production for the specific energy source, measured (quad Btu)\n",
    " 6. **GDP** - Countries GDP at purchasing power parities, measured (Billion 2015\\$ PPP)\n",
    " 7. **Population** - Population of specific Country, measured (Mperson)\n",
    " 8. **Energy_intensity_per_capita** - Energy intensity is a measure of the energy inefficiency of an economy. It is calculated as  units of energy per unit of capita (capita = individual person), measured (MMBtu/person)\n",
    " 9. **Energy_intensity_by_GDP**- Energy intensity is a measure of the energy inefficiency of an economy. It is calculated as units of energy per unit of GDP, measred (1000 Btu/2015\\$ GDP PPP)\n",
    " 10. **CO2_emission** - The amount of C02 emitted, measured  (MMtonnes CO2)\n",
    " 11. **Rate of population change** - To see if a possible change in population of a place will result in change in CO2 emission & to What extent\n",
    " 12. **Population density** - Does the density of a population have any effect on CO2 Emission?\n",
    " 13. **GDP splits** - Example, % for agriculture vs manufacturing; Hypothetically, GDP increase due to agricultural/Green activities should oppose the direct correlation of rise in GDP to CO2 Emission\n",
    " 14. **Rate of Deforestation** - As a result of our research on why the Dip in CO2 Emission of the World occurred in 2009 and the sudden rise in 2010 when Energy Type, Pop, and GDP were Constant.... \n",
    " 15. **Emission per Capita** - Also: probing into the theory that a unit increase in Population is directly impacting on the increase in CO2 Emission, we opted to getting a column which represents per capita emission for each country per energy type which will be plotted against the co2 emission and resulting graph compared with the graph of countries/population of highest emitters. The idea is if the comparism correlates, then our Hypothesis theory of increase in pop is directly propotional to increase in CO2 Emission, is 100% valid, if not; To be modified with extra clause."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81132ab3",
   "metadata": {},
   "source": [
    "<a id=\"three\"></a>\n",
    "## 3. Exploratory Data Analysis (EDA)\n",
    "<a class=\"anchor\" id=\"1.1\"></a>\n",
    "<a href=#cont>Back to Table of Contents</a>\n",
    "\n",
    "---\n",
    "    \n",
    "| ⚡ Description: Exploratory data analysis ⚡ |\n",
    "| :--------------------------- |\n",
    "| In this section, we will be carrying out the initial investigations on data so as to discover patterns,to spot anomalies,to test hypothesis and to check assumptions with the help of summary statistics and graphical representations.you are required to perform an in-depth analysis of all the variables in the DataFrame. |\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1c68fb39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
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     "data": {
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",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's Visualize our missing values\n",
    "msno.matrix(df, color=(0.1, 0.4, 0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3fd5d9e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "As Temporary Defeat to dealing with our missing values\n",
    "We Opted to dropping all rows with missing values\n",
    "\n",
    "AS Base Analysis\n",
    "'''\n",
    "\n",
    "df.dropna(subset=['Deforestation', 'Agric_GDP', 'Manuf_GDP', 'pop_density', 'pop_growth'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ea04e86a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's Visualize our missing values\n",
    "msno.matrix(df, color=(0.1, 0.4, 0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8db67ed5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 27450 entries, 1950 to 35153\n",
      "Data columns (total 16 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   Country           27450 non-null  object \n",
      " 1   e_type            27450 non-null  object \n",
      " 2   Year              27450 non-null  int64  \n",
      " 3   e_con             27450 non-null  float64\n",
      " 4   e_prod            27450 non-null  float64\n",
      " 5   GDP               27450 non-null  float64\n",
      " 6   Population        27450 non-null  float64\n",
      " 7   ei_capita         27450 non-null  float64\n",
      " 8   ei_gdp            27450 non-null  float64\n",
      " 9   pop_growth        27450 non-null  float64\n",
      " 10  pop_density       27450 non-null  float64\n",
      " 11  Manuf_GDP         27450 non-null  float64\n",
      " 12  Agric_GDP         27450 non-null  float64\n",
      " 13  Deforestation     27450 non-null  float64\n",
      " 14  emission_per_cap  27450 non-null  float64\n",
      " 15  CO2_emission      27450 non-null  float64\n",
      "dtypes: float64(13), int64(1), object(2)\n",
      "memory usage: 3.6+ MB\n"
     ]
    }
   ],
   "source": [
    "# More Information as concerning df\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0f78c1d",
   "metadata": {},
   "source": [
    "So We've dropped from `35154` Observations to `27510`, which to a certain extent, representative for our base analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e1d34b71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country                       World\n",
       "e_type                      ren/oth\n",
       "Year                           2016\n",
       "e_con                        572.16\n",
       "e_prod                       568.56\n",
       "GDP                       115567.88\n",
       "Population               7464042.85\n",
       "ei_capita                      77.8\n",
       "ei_gdp                         6.36\n",
       "pop_growth                    1.427\n",
       "pop_density                    57.2\n",
       "Manuf_GDP              18685.014838\n",
       "Agric_GDP               4791.444305\n",
       "Deforestation       40666193.560053\n",
       "emission_per_cap           0.004774\n",
       "CO2_emission               34894.26\n",
       "dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Used to compare for Max Values in Dataset\n",
    "df[df['Country']  == 'World'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e805134e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-28T08:52:37.824204Z",
     "start_time": "2021-06-28T08:52:37.811206Z"
    }
   },
   "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>Year</th>\n",
       "      <th>e_con</th>\n",
       "      <th>e_prod</th>\n",
       "      <th>GDP</th>\n",
       "      <th>Population</th>\n",
       "      <th>ei_capita</th>\n",
       "      <th>ei_gdp</th>\n",
       "      <th>pop_growth</th>\n",
       "      <th>pop_density</th>\n",
       "      <th>Manuf_GDP</th>\n",
       "      <th>Agric_GDP</th>\n",
       "      <th>Deforestation</th>\n",
       "      <th>emission_per_cap</th>\n",
       "      <th>CO2_emission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>2.745000e+04</td>\n",
       "      <td>27450.000</td>\n",
       "      <td>27450.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2005.446</td>\n",
       "      <td>1.505</td>\n",
       "      <td>1.519</td>\n",
       "      <td>826.836</td>\n",
       "      <td>64034.329</td>\n",
       "      <td>83.579</td>\n",
       "      <td>4.418</td>\n",
       "      <td>1.540</td>\n",
       "      <td>178.986</td>\n",
       "      <td>137.950</td>\n",
       "      <td>40.785</td>\n",
       "      <td>3.950679e+05</td>\n",
       "      <td>0.002</td>\n",
       "      <td>89.633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.351</td>\n",
       "      <td>15.480</td>\n",
       "      <td>15.211</td>\n",
       "      <td>5931.430</td>\n",
       "      <td>457125.183</td>\n",
       "      <td>117.500</td>\n",
       "      <td>4.110</td>\n",
       "      <td>1.470</td>\n",
       "      <td>559.028</td>\n",
       "      <td>989.154</td>\n",
       "      <td>240.220</td>\n",
       "      <td>2.747431e+06</td>\n",
       "      <td>0.004</td>\n",
       "      <td>980.732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1990.000</td>\n",
       "      <td>-0.040</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.130</td>\n",
       "      <td>40.260</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.000</td>\n",
       "      <td>-6.766</td>\n",
       "      <td>1.406</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-0.000</td>\n",
       "      <td>-0.010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1999.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>13.850</td>\n",
       "      <td>2316.570</td>\n",
       "      <td>10.040</td>\n",
       "      <td>2.370</td>\n",
       "      <td>0.557</td>\n",
       "      <td>28.453</td>\n",
       "      <td>1.310</td>\n",
       "      <td>1.226</td>\n",
       "      <td>4.902860e+03</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2006.000</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.000</td>\n",
       "      <td>54.140</td>\n",
       "      <td>7750.000</td>\n",
       "      <td>39.000</td>\n",
       "      <td>3.660</td>\n",
       "      <td>1.426</td>\n",
       "      <td>71.594</td>\n",
       "      <td>6.509</td>\n",
       "      <td>4.818</td>\n",
       "      <td>2.931996e+04</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2013.000</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.130</td>\n",
       "      <td>288.390</td>\n",
       "      <td>23288.570</td>\n",
       "      <td>111.850</td>\n",
       "      <td>5.390</td>\n",
       "      <td>2.456</td>\n",
       "      <td>147.139</td>\n",
       "      <td>43.143</td>\n",
       "      <td>16.724</td>\n",
       "      <td>1.535988e+05</td>\n",
       "      <td>0.001</td>\n",
       "      <td>8.400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2019.000</td>\n",
       "      <td>572.160</td>\n",
       "      <td>568.560</td>\n",
       "      <td>115567.880</td>\n",
       "      <td>7464042.850</td>\n",
       "      <td>1115.450</td>\n",
       "      <td>166.910</td>\n",
       "      <td>17.512</td>\n",
       "      <td>8044.526</td>\n",
       "      <td>18685.015</td>\n",
       "      <td>4791.444</td>\n",
       "      <td>4.066619e+07</td>\n",
       "      <td>0.056</td>\n",
       "      <td>34894.260</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Year      e_con     e_prod         GDP   Population  ei_capita  \\\n",
       "count  27450.000  27450.000  27450.000   27450.000    27450.000  27450.000   \n",
       "mean    2005.446      1.505      1.519     826.836    64034.329     83.579   \n",
       "std        8.351     15.480     15.211    5931.430   457125.183    117.500   \n",
       "min     1990.000     -0.040      0.000       0.130       40.260      0.330   \n",
       "25%     1999.000      0.000      0.000      13.850     2316.570     10.040   \n",
       "50%     2006.000      0.020      0.000      54.140     7750.000     39.000   \n",
       "75%     2013.000      0.220      0.130     288.390    23288.570    111.850   \n",
       "max     2019.000    572.160    568.560  115567.880  7464042.850   1115.450   \n",
       "\n",
       "          ei_gdp  pop_growth  pop_density  Manuf_GDP  Agric_GDP  \\\n",
       "count  27450.000   27450.000    27450.000  27450.000  27450.000   \n",
       "mean       4.418       1.540      178.986    137.950     40.785   \n",
       "std        4.110       1.470      559.028    989.154    240.220   \n",
       "min        0.000      -6.766        1.406      0.001      0.008   \n",
       "25%        2.370       0.557       28.453      1.310      1.226   \n",
       "50%        3.660       1.426       71.594      6.509      4.818   \n",
       "75%        5.390       2.456      147.139     43.143     16.724   \n",
       "max      166.910      17.512     8044.526  18685.015   4791.444   \n",
       "\n",
       "       Deforestation  emission_per_cap  CO2_emission  \n",
       "count   2.745000e+04         27450.000     27450.000  \n",
       "mean    3.950679e+05             0.002        89.633  \n",
       "std     2.747431e+06             0.004       980.732  \n",
       "min     0.000000e+00            -0.000        -0.010  \n",
       "25%     4.902860e+03             0.000         0.000  \n",
       "50%     2.931996e+04             0.000         0.100  \n",
       "75%     1.535988e+05             0.001         8.400  \n",
       "max     4.066619e+07             0.056     34894.260  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Descriptive statistics of the whole Dataframe\n",
    "round(df.describe(), 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27b11a8a",
   "metadata": {},
   "source": [
    "As We can see; the dataset \n",
    "* Spans between the period of 1990 to 2019, amounting to **29 years** spreed.\n",
    "* A Total of **27,450** observations with no null values present.\n",
    "* The barest minimum CO2 Emission was at **-0.0** due to the fact that there wasn't energy-produced(**0.0**), as compared to the maximum amount of CO2 Emission at **34894.0** owing to the fact that energy was produced at that level(**569.0**).   \n",
    "* Also, One can see from the above information that as Population increases, the GDP also increases.\n",
    "* Finally, The **Standard Deviation** signifies that all the numbers in the dataset don't share the same value and will require standardization prior to Modelling with it.\n",
    "* It appears Over 75% of our has an Energy-Consumption & Energy-Production value of (**0.0**), This is due the large variation between the individual Countries (having most representations between 0.0 to about 0.2) and the **World** which is the sum of all energy_consumed for the all countries for that Year\n",
    "\n",
    "Researching the unique Max Values: \n",
    "\n",
    "1. Our **World** data (Which is a sum of all Countries event per year): account for the highest `CO2_Emission`, `Deforestation`, `Agric_GDP`, `Manuf_GDP`, `Population`, `GDP`, `e_prod & e_con`, which is expected\n",
    "2. **Singapore** [One of the most densely populated country following Macau](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwj70LnjzPD4AhVF3RoKHcZFDTIQFnoECAgQAQ&url=https%3A%2F%2Fworldpopulationreview.com%2Fcountry-rankings%2Fcountries-by-density&usg=AOvVaw0NZof-0fn4h7xf23NA561Z): accounting for the Highest Population density of `8044.526000` in 2019\n",
    "3. **Belarus** (Obviously one of the countries battling with High Energy Intensity): accounts for energy intensity per GDP of `166.91` in 1992\n",
    "4. **Qatar** [One of the leading Energy consumers per capita](https://en.wikipedia.org/wiki/List_of_countries_by_energy_consumption_per_capita): accounting for energy intensity per capita of `1115.45` in year 2000\n",
    "5.  **Qatar** [Qatar - Historical Population Growth Rate Data Saw Highest Peak in 2007](https://www.macrotrends.net/countries/QAT/qatar/population-growth-rate): accounting for energy intensity per capita of `17.512` in year 2007 of our Dataset, Which proves to be the highest so far\n",
    "\n",
    "Due to this Unique conditions, we should experience a minute proportion of our dataset skewing as outliers which infact may not be."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "85d941c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year                 -1.124145\n",
       "e_con               753.757823\n",
       "e_prod              777.430741\n",
       "GDP                 223.488027\n",
       "Population          194.205794\n",
       "ei_capita            12.262635\n",
       "ei_gdp              558.439920\n",
       "pop_growth           16.155439\n",
       "pop_density         118.636729\n",
       "Manuf_GDP           201.239497\n",
       "Agric_GDP           197.217857\n",
       "Deforestation       190.553720\n",
       "emission_per_cap     36.653357\n",
       "CO2_emission        646.010606\n",
       "dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for Outliers\n",
    "df.kurtosis()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47824972",
   "metadata": {},
   "source": [
    "As anticipated;\n",
    "majority of the values of the `Kurtosis are greater than 3`, it should mean the presence of outliers. High kurtosis in a data set is an indicator that data has heavy tails or outliers.\n",
    "\n",
    "**However Scaling of the dataset is highly recommended**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "66818a02",
   "metadata": {},
   "outputs": [],
   "source": [
    "from plotly import graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "from sklearn.preprocessing import  MinMaxScaler\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cab2fc4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "min_max = MinMaxScaler(feature_range=(0,1))\n",
    "min_max.fit(df['CO2_emission'].values.reshape(-1,1))\n",
    "df['emission_norm'] = min_max.transform(df['CO2_emission'].values.reshape(-1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "eca8d1c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "83.1 ms ± 27.5 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "# plot trace of max emitters and add plot of population\n",
    "fig = make_subplots(specs=[[{'secondary_y':True}]])\n",
    "fig.add_trace(\n",
    "    go.Bar(\n",
    "        x=df.loc[~(df.Country.isin(['World','United States']))]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'CO2_emission':'sum','GDP_cap':'mean'})\n",
    "            .sort_values('GDP_cap', ascending=False)\n",
    "            .reset_index(drop=True)\n",
    "            .loc[:10,'Country'],\n",
    "        y=df.loc[~(df.Country.isin(['World','United States']))]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'CO2_emission':'sum','GDP_cap':'mean'})\n",
    "            .sort_values('GDP_cap', ascending=False)\n",
    "            .reset_index(drop=True)\n",
    "            .loc[:10,'CO2_emission'],\n",
    "            name= 'CO2 emission levels'\n",
    "    ), secondary_y=False\n",
    ")\n",
    "\n",
    "#plot Population growth average\n",
    "fig.add_trace(\n",
    "    go.Scatter(\n",
    "        x=df.loc[~(df.Country.isin(['World','United States']))]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP_cap':'mean','CO2_emission':'sum'})\n",
    "            .sort_values('GDP_cap', ascending=False)\n",
    "            .reset_index(drop=True)\n",
    "            .loc[:20,'Country'],\n",
    "        y=df.loc[~(df.Country.isin(['World','United States']))]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP_cap':'mean','CO2_emission':'sum'})\n",
    "            .sort_values('GDP_cap', ascending=False)\n",
    "            .reset_index(drop=True) #ddcndk\n",
    "            .loc[:20,'GDP_cap'],\n",
    "        name='GDP per Capita'\n",
    "    ), secondary_y=True,\n",
    ")\n",
    "\n",
    "fig.update_layout(\n",
    "    # title='Plot of highest emitters: CO2 emission & GDP per capita',\n",
    "    width=800, height=600,\n",
    "    margin=dict(t=0,\n",
    "                r=0,\n",
    "                l=0,\n",
    "                ),\n",
    "    legend=dict(xanchor='center',\n",
    "                x=0.75,\n",
    "                bgcolor='rgba(0,0,0,0)',\n",
    "                y=0.9\n",
    "                ),\n",
    ")\n",
    "fig.update_xaxes(tickangle=60,)\n",
    "fig.update_yaxes(\n",
    "                secondary_y=False,\n",
    "                # tickangle=60,\n",
    "                showgrid=True\n",
    "                    )\n",
    "fig.update_yaxes(\n",
    "                secondary_y=True,\n",
    "                # tickangle=10,\n",
    "                showgrid=False\n",
    "                    )\n",
    "\n",
    "# fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "7a3d2d2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
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   "source": [
    "# plot trace of max emitters and add plot of population\n",
    "fig = make_subplots(specs=[[{'secondary_y':True}]])\n",
    "fig.add_trace(\n",
    "    go.Bar(\n",
    "        x=df.loc[~(df.Country=='World')]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP':'mean','CO2_emission':'sum','Manuf_GDP':'mean'})\n",
    "            .sort_values('Manuf_GDP', ascending=False)\n",
    "            .reset_index(drop=True)\n",
    "            .loc[:10,'Country'],\n",
    "        y=df.loc[~(df.Country=='World')]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP':'mean','CO2_emission':'sum','Manuf_GDP':'mean'})\n",
    "            .sort_values('Manuf_GDP', ascending=False)\n",
    "            .reset_index(drop=True)\n",
    "            .loc[:10,'CO2_emission'],\n",
    "            name= 'CO2 emission levels'\n",
    "    ), secondary_y=False\n",
    ")\n",
    "\n",
    "#plot Population growth average\n",
    "fig.add_trace(\n",
    "    go.Scatter(\n",
    "        x=df.loc[~(df.Country=='World')]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP':'mean','CO2_emission':'sum','Manuf_GDP':'mean'})\n",
    "            .sort_values('Manuf_GDP', ascending=False)\n",
    "            .reset_index(drop=True)\n",
    "            .loc[:10,'Country'],\n",
    "        y=df.loc[~(df.Country=='World')]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP':'mean','CO2_emission':'sum','Manuf_GDP':'mean'})\n",
    "            .sort_values('Manuf_GDP', ascending=False)\n",
    "            .reset_index(drop=True) #ddcndk\n",
    "            .loc[:10,'Manuf_GDP'],\n",
    "        name='Manufacturing GDP'\n",
    "    ), secondary_y=True\n",
    ")\n",
    "fig.add_trace(\n",
    "    go.Scatter(\n",
    "        x=df.loc[~(df.Country=='World')]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP':'mean','CO2_emission':'sum','Manuf_GDP':'mean'})\n",
    "            .sort_values('Manuf_GDP', ascending=False)\n",
    "            .reset_index(drop=True)\n",
    "            .loc[:10,'Country'],\n",
    "        y=df.loc[~(df.Country=='World')]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP':'mean','CO2_emission':'sum','Manuf_GDP':'mean'})\n",
    "            .sort_values('Manuf_GDP', ascending=False)\n",
    "            .reset_index(drop=True) #ddcndk\n",
    "            .loc[:10,'GDP'],\n",
    "        name='Overall GDP'\n",
    "    ), secondary_y=True\n",
    ")\n",
    "fig.add_trace(\n",
    "    go.Scatter(\n",
    "        x=df.loc[~(df.Country=='World')]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP':'mean','Agric_GDP':'mean','Manuf_GDP':'mean'})\n",
    "            .sort_values('Manuf_GDP', ascending=False)\n",
    "            .reset_index(drop=True)\n",
    "            .loc[:10,'Country'],\n",
    "        y=df.loc[~(df.Country=='World')]\n",
    "            .groupby('Country', as_index=False)\n",
    "            .agg({'GDP':'mean','Agric_GDP':'mean','Manuf_GDP':'mean'})\n",
    "            .sort_values('Manuf_GDP', ascending=False)\n",
    "            .reset_index(drop=True) #ddcndk\n",
    "            .loc[:10,'Agric_GDP'],\n",
    "        name='Agricultural GDP'\n",
    "    ), secondary_y=True\n",
    ")\n",
    "\n",
    "fig.update_layout(\n",
    "    # title='Plot of highest emitters: CO2 emission & Population Growth',\n",
    "    width=1280, height=720,\n",
    "    margin=dict(\n",
    "        t=5,\n",
    "        l=1,\n",
    "        r=1\n",
    "    ),\n",
    "    legend=dict(\n",
    "            xanchor='center',\n",
    "            x=0.8,\n",
    "            y=0.9,\n",
    "            bgcolor='rgba(0,0,0,0)'\n",
    "    )\n",
    ")\n",
    "fig.update_yaxes(secondary_y=True, showgrid=False)\n",
    "fig.update_xaxes(tickangle=30)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
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   "source": [
    "fig = go.Figure()\n",
    "fig.add_trace(\n",
    "    go.Bar(\n",
    "        x=df.loc[df['Country']=='India']\n",
    "            .groupby('Year',as_index=False)\n",
    "            .agg({'CO2_emission':'sum'})\n",
    "            .loc[:,'Year'],\n",
    "        y=df.loc[df['Country']=='India']\n",
    "            .groupby('Year',as_index=False)\n",
    "            .agg({'CO2_emission':'sum'})\n",
    "            ['CO2_emission'].rolling(10).mean(),\n",
    "        name='CO2_emission levels'\n",
    "    )\n",
    ")\n"
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  {
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     },
     "metadata": {},
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    }
   ],
   "source": [
    "fig=make_subplots(specs=[[{'secondary_y':True}]])\n",
    "\n",
    "fig.add_trace(\n",
    "    go.Bar(\n",
    "        x=df.loc[df['Country']=='India']\n",
    "            .groupby('Year',as_index=False)\n",
    "            .agg({'CO2_emission':'sum'})\n",
    "            .loc[:,'Year'],\n",
    "        y=df.loc[df['Country']=='India']\n",
    "            .groupby('Year',as_index=False)\n",
    "            .agg({'CO2_emission':'sum'})\n",
    "            .loc[:,'CO2_emission'],\n",
    "        name='CO2_emission levels'\n",
    "    ), secondary_y=False\n",
    ")\n",
    "\n",
    "fig.add_trace(\n",
    "    go.Scatter(\n",
    "        x=df.loc[df['Country']=='India']\n",
    "            .groupby('Year',as_index=False)\n",
    "            .agg({'Population':'mean'})\n",
    "            .loc[:,'Year'],\n",
    "        y=df.loc[df['Country']=='India']\n",
    "            .groupby('Year',as_index=False)\n",
    "            .agg({'Population':'mean'})\n",
    "            .loc[:,'Population'],\n",
    "        name='Population levels' \n",
    "    ), secondary_y=True\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7d4eabca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      275956.48\n",
       "1      257773.63\n",
       "2       73142.80\n",
       "3       63607.54\n",
       "4       59361.91\n",
       "         ...    \n",
       "172         6.56\n",
       "173         6.24\n",
       "174         4.64\n",
       "175         2.36\n",
       "176         2.20\n",
       "Name: CO2_emission, Length: 177, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[~(df.Country=='World')].groupby('Country', as_index=False).agg({'CO2_emission':'sum'}).sort_values('CO2_emission', ascending=False).loc[:,'CO2_emission'].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "698ef6d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 936x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "A box plot for the Deforestation feature \n",
    "Proves the Extent The World Data vary from the individual countries\n",
    "'''\n",
    "sns.set(style=\"whitegrid\")\n",
    "plt.figure(figsize=(13,3))\n",
    "ax = sns.boxplot(x='Deforestation', data=df, orient=\"v\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6bb3cd5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizing Feature Density Distribution\n",
    "features = ['GDP', 'e_prod', 'Manuf_GDP', 'Population', 'pop_growth', 'pop_density', \n",
    "            'Deforestation', 'emission_per_cap', 'CO2_emission']\n",
    "df[features].plot(kind='density', subplots=True, layout=(3, 3), sharex=False, figsize=(15, 10));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "093db68f",
   "metadata": {},
   "source": [
    "As we can see, But for this unique characteristics of the countries & World data earlier discussed, causing a **highly Right skewed Dataset**, Our Dataset looks pretty **Normally Distributed**. This Unique values may not necessarily be outliers.\n",
    "\n",
    "Data is skewed when its distribution curve is asymmetrical (as compared to a normal distribution curve that is perfectly symmetrical) and the skewness for a normal distribution is 0. It degrades the model’s ability (especially regression based models) to describe typical cases as it has to deal with rare cases on extreme values.\n",
    "\n",
    "##### `We will be opting to Model with Tree-Based Models to Overcome any chances of this unique values being Outliers.`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "03789344",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6br9OSEiI3YOvs7nZS2PixIl2c/a7cw2H0hg9erTOnTtnpFu2bKlly5bp7rvvtps+JSIiQo888oiWLl1qmtt/69at+uijj1y6XkHA2Lt3by1YsMAUMEpSlSpVNH36dDVu3Ni0vyBgHDNmjCZPnmwKGCWpVatW+uyzz0w/ZFitVq1du9alejmSnp6ulStXGumwsDAtWLBA119/vd2oU19fX916662aN2+eAgMDjf0xMTGKjo62K7vwqN4RI0ZozJgxDqcsqVu3rqZOnap+/fqZ9n/55ZelvjdJSktL06uvvmr8m0jSlVdeqWXLlmnYsGF2Iyvr1aunl19+WR9++KHpHo8fP+7yyNmCgLF79+6KiorSTTfdZASMUv4I4t69e+uLL76wa4vffvttie8RAACgPCPGunDEWMRYBYixiLGA8oCOOQCAW9kGFpI8OpLT0QLUVatWLZNrFV6LoLj54F01d+5cffPNN6Z9/fr1U5s2bdxSfmmsX7/eFNBUrlxZc+fOLfZv26BBA82ePdsUOH3yySfKyMhw6bqhoaF64403TMGCLW9vbw0ePNhuf9euXfXggw86LTckJESDBg0y7Ss8CrgkDh8+bFpE/pprrin2b9O8eXPdeeedpn0bNmywy7d3715T+vbbby+2Pi+88IJpVOjWrVuVlZVV7HnOfPrpp0pISDDS4eHh+vDDD1WtWrUiz+vWrZveeOMN074ffvjB7p6cqVy5st566y27qWlsRUZG6tFHHzXtKzzVEgAAQEVHjHVhiLH+RoxFjEWMBZQPTGUJAHAr24dnSUU+8LlbWlqa3T7b0WTuVLhc2+lHSmvx4sWaPn26aV/t2rX10ksvXXDZF2L+/Pmm9GOPPebyjwHNmzdX79699f3330vKD65/+OEH3XHHHcWee9dddxU7JUerVq3s9rky8rVp06amdFJSUrHnOGM7ylFSsYu2F7jnnnvUrFkz1a1bV3Xr1lWtWrXs8hSMaixw8OBBuxGshVWtWlVvvPGGAgICjLKdBd6uWLp0qSk9atQoux9NnOnbt6+WLl2q9evXS8ofObtw4UJNnDix2HMHDRrk0iLjhdcjcfTjEQAAQEVGjFV6xFhmxFjEWMRYQPnAG3MAALcqPK2E7RQRZc3RtQrXx10KBwoXauHChXr11VdNi0gHBgZq9uzZdtOYeFJubq42btxo2ufKiEJbvXr1MqVtF5suiitz2DsKXjt27FjseeHh4aa0ox8cXFW3bl3T6Mk9e/Zo4sSJxZbZqFEjDR06VF27dlW9evUcrgtReE2GiRMnOpyOpbCBAwfq1ltvVevWre3utSSOHTumY8eOGWl/f3+7aVyKM2zYMFPa0ahVRzp37uxSPtupfCT7H64AAAAqOmKs0iHGskeMRYzlCmIsoOzRMQcAcKugoCBT2pMPcI5Gbhae9sVdzp49a0oXvu+SeOeddzRx4kRTwOjn56fZs2eXycLqJbF7925T8FOtWrUST51T+B5cCXqk/GlaiuPr62tKh4SEKCwsrMTnXYiQkBD17NnTtG/hwoXq2bOnxo0bp++++87u8+KqwqNeT58+raFDh2ro0KH68MMPtWvXLtPnxt02b95sSrdo0cKlEZa2unTpIovFYqSPHDni0ojLwiNunSnc7j35QxUAAIAnEGOVHDGWY8RYxFiuIMYCyh5TWQIA3KrwnOhnzpzx2LUdBQspKSllcq3C5ZZmxFxWVpYmTJigqKgo035/f3/NmjVL11xzzYVU0S0OHjxoSsfHx6tZs2YXVOapU6dcylelSpUSl13SgMZdnnvuOW3atMn0I0VycrKioqIUFRUlb29vtWrVStdee62uu+46tWvXzqWRxldeeaWGDBmiJUuWmPZHR0crOjpa06dPV0REhK655hp17dpV119/vVvX/Dh9+rQpXZofMcLCwlSrVi1j0Xgp/zNQ3PoJhRc8d6bw37Esg2gAAICLgRjLdcRYRSPGIsZyBTEWUPbomAMAuFX9+vVNadspGsparVq1FBAQYBpBevLkSbdf59y5c3bz5bsy8tBWYmKiRo4cabeIcnBwsN5//32Xp5goa2URdJ8/f165ubnFBk2lWTvDdroTT2rUqJHmzJmj0aNHm4KjArm5udq+fbu2b9+u999/X+Hh4erVq5fuuOOOYn8ceOWVVyRJX3zxhcOAKCEhQStWrNCKFStksVjUpk0b3XLLLbrjjjtKPPK2sMKf89JO2RIWFmb6uyQnJxd7zoWMkAYAALiUEGO5hhiLGIsYq2jEWED5wVSWAAC3KjzaKzEx0eXRe64oagoFi8ViN9Jw27Ztbrt2gT/++MPu4d3VKSEkKSYmRoMHD7YLGKtVq6YFCxaUm4BRKpug0Wq1urTeQFmtXVFWOnbsqBUrVujZZ5+1+/GksIKRnvfff7+GDh2qvXv3Os3r4+OjiRMnatGiRbrxxhuLXGTcarVq+/btmjx5snr37q0PPvjggtbqOH/+vCkdEBBQqnIK/wCQkZFR6joBAABcboixikeMRYxFjEWMBVQkvDEHAHCrdu3aqVKlSsrMzDT2bd26Vbfeeqtbyn/++ee1d+9edenSRZ07d1aXLl1MI9a6deumP/74w0gXDszcoXCZtWrVsltA2pl169bpmWeesXsYb9KkiebMmWO3yPLFVvhhv0uXLnrssccuuNzSBh/lXWBgoEaMGKERI0Zo165d+umnn/TLL7/or7/+cvqDR3R0tO69917Nnz+/yGlMOnTooA4dOuj8+fNau3at1q5dq/Xr1ztdSyAtLU1vv/22jh49qkmTJpX6fmyVdj2T1NRUU/pS/fcHAAAoC8RYRSPGynepPmMTYzlGjAVUbHTMAQDcys/PT507d9Yvv/xi7Fu9erVbgsbc3FytX79eZ8+eVWxsrD7//HMNHjxYb7zxhpHnhhtu0MyZM430wYMHtXXrVnXs2PGCry/ljyb9+uuvTft69Ojh0rlRUVF6+eWX7YKHa6+9Vu+++67L8717UuE1JfLy8nTttddepNpULC1atFCLFi305JNP6vz589qyZYt+//13rVu3TgcOHDDlPXv2rF588UW7tTAcCQ4OVt++fdW3b19J0v79+/X777/rt99+0++//243Unbp0qXq1auXbrjhhhLfQ+F//8LTrriq8HmhoaGlKgcAAOByRIzlHDHW5YUYy/l5xFhAxcJUlgAAt+vXr58p/X//939KTEy84HJ//PFHnT171rTvlltuMaVbtGihNm3amPb95z//ueBrF/jhhx8UFxdn2nfXXXcVe97ChQv14osv2gWMd911l+bOnVsuA0ZJqlGjhikdExNzQdN2XK6Cg4PVo0cPjR07VitXrtSyZcvUrVs3U56dO3dq69atJS67cePGuueee/T+++9r/fr1eu211+xGYS5YsKBU9a5Vq5YpvWfPnhKXkZCQYLfAed26dUtVHwAAgMsVMZY9YqzLGzEWMRZQkdExBwBwuz59+qhKlSpGOiMjQ3Pnzr2gMq1Wqz766CPTvho1aqhLly52eR966CFTevXq1Vq7du0FXV/KXwvgzTffNO3r0qWLrrzyyiLP+/LLLzVx4kTTmgkWi0XPPvusXn/9dfn4lN8X2Nu2bWtahyA5OVl//vlnico4ePCgZs6cqa+//lqbN28uk8XiLyar1aoTJ07o119/1fz58+2m0HGkefPm+uCDD+wWtN+/f78pnZaWpp07d+qbb75x6TMcEBCgoUOHasKECab9MTExLtyJvcKjoHft2qVz586VqIyNGzea0tWrVy/1AucAAACXK2IsM2IsYqzCiLHCS1UfABcHHXMAALfz9/fXww8/bNr36aefavv27aUuc+HChXbBymOPPeYw4Lr55pvVqVMnI221WjVmzBi7UZglYbVa9fLLL+vEiRPGPm9vb40dO7bI87Zs2WL3AO/j46PJkydrxIgRpa6PpwQFBalVq1amfZ999lmJyvjoo4/03nvvacyYMbrnnns0evRod1bxorvvvvvUs2dPPfTQQ5o0aZK2bdvm0nm+vr52QVlycrKxvWnTJnXo0EEDBgzQ888/r1mzZrlcp6uvvtppuSVRr1491axZ00hnZmbaTTNUnMWLF5vSTNMDAABQcsRYfyPGIsZyhhgLQEVBxxwAoEzcfffdpsW6c3Nz9dhjj9mNVnPFL7/8oilTppj2NWjQQAMHDnR6zsSJExUUFGSkk5KSdPfdd+vgwYMlvn52drbGjBmj7777zrT/vvvuU4sWLZyel5ycrOeff165ubnGPm9vb7399tu68847S1yPi+Uf//iHKb1y5Upt2LDBpXP37Nmjr776yrTvjjvucFvdyoP27dub0oWDpKIcPXrUlLYN0Fq1amX6UWT79u3atWtXqcotPF1KSRT+9585c6bdtCnOrFy50m4054ABA0pdFwAAgMsZMRYxlkSMVRxiLAAVAR1zAIAy4e/vr2nTpsnX19fYl5iYqLvuuktRUVGmKUeKsnDhQj355JPKysoy9lWqVEkzZsyQn5+f0/MaNWqkKVOmyMvr76+6Y8eOaejQoVq2bJnL14+JidEDDzygZcuWmfZ37dpVzz33XJHnTp8+3W5KkRdffFE33nijS9cuL/r27avatWsb6by8PD399NOKjo4u8rxTp05p1KhRpjUfateuXaECZlfceeedslgsRvr//u//9N///rfY89auXatNmzYZaV9fX3Xt2tVIBwYG6qabbjKdM27cOKWkpBRZblZWlt5++23Tvuuvv77Y+jgzdOhQ0wLlycnJevTRR3XmzJkiz9uwYYPGjx9v2te5c2d17ty51HUBAAC4nBFjEWMRYxWNGAtARUHHHACgzLRu3Vpvvvmmaf781NRUjRs3TnfeeaeWLFni8MEzMTFRy5Yt04ABAzRx4kRlZmYax3x8fPSvf/1LzZs3L/b6ffr00bRp00wj4pKTk/XCCy9o0KBBWrx4sU6dOmV3XmZmpn7++WeNGzdO/fr10+bNm03Hr732Wr377rtFrltw/Phxu1GMDRs2VMOGDbV+/fpS/efqCDp38/X11VtvvWX6ASA5OVnDhw/XlClTdPz4cVP+jIwMLV26VAMHDtThw4eN/RaLRRMmTCgy2K+IGjRooL59+5r2jR8/XhMmTNChQ4fs8iclJWnOnDkaOXKk6ceLQYMGKSIiwpR3xIgRpr/7nj17NHDgQK1cudL0Q4qUPxXQli1bNHz4cNMC5/7+/nrggQdKfX+hoaGaPHmyKTDevXu3+vXrp8WLF9uth3D06FFNmjRJDz/8sNLS0oz94eHhmjRpUqnrAQAAAGIsYixiLGIsYizgUmCxujqcBQCAUvrxxx81duxYpws216hRw3hYTk5O1okTJxyOtgwICND06dN1ww03lOj6Gzdu1AsvvOBw/QOLxaLw8HBVq1ZNvr6+SkhIUEJCgrKzsx3mveeeezRmzBjTg7wjU6dOtVtI/UL9+9//vqhTVHz99dcaP368aXRmgdq1aysiIkIZGRk6ePCgw7/fCy+8YLdovK1mzZqZ0nv37i22TseOHTN9HmrXrq01a9YUe97GjRs1fPhwI925c2eH6zpERUVp3LhxRrp///6aPHmyXb6kpCQNHDjQLoCWpGrVqikyMlLe3t5KSkrSsWPH7D7fTZs21eLFi01TAxX4+OOP7aYZkvKD+fr16ys4OFgZGRk6evSoUlNT7fI5+9y4+jewrcfUqVPt6u7r66s6deooODhYCQkJpjVCCoSGhuqDDz6wW+/BVmn+/d1xLgAAQEVEjOUexFj2iLGIsS70XADFcz4MBQAAN+nTp4+aNm2qSZMmae3atXbH4+Liil00vGvXrnrttddUt27dEl+/S5cuWr58ud577z0tWbLENArOarUqKSlJSUlJRZbRvn17vfDCC+rQoYNL1/zll19KXM/y7s4771SNGjX0/PPPKz4+3nTs+PHjDgMmSQoODtZLL72k/v37e6KaF0XlypW1YMECPfbYY3YBS3x8vN3fy1bXrl01bdo0hwGjJD344IPKy8vTjBkzTMF4dnZ2keuJBAUFacKECerXr18J78axBx98UHXq1NH48eNNU71kZ2cXua5Iu3bt9O9//1sNGzZ0Sz0AAABAjHWpIMZyjhiLGAu4lNExBwDwiPr16+vDDz/UH3/8oa+++kr/93//V+SDtJT/0NuzZ08NGzZMnTp1uqDrh4WF6aWXXtLDDz+spUuX6rvvvlNMTEyR51SpUkW9evVS//79S3z9Y8eOXUh1y62rr75aq1ev1qJFi7RkyRKH04gUCA8P1x133KGHH35Y1atX91wlL5JatWopKipKn3/+ub744gvt27fPaV5fX1916dJFQ4YMUZ8+fUxTmDjy8MMP6/rrr9fcuXO1evVq0/QlhdWuXVs33XSTHnjgAUVGRpb6fhy58cYbdfXVV+vjjz/WV1995fTHHovFovbt2+vee+/VzTffbFqHBAAAAO5BjHVpIMZyjhjrb8RYwKWFqSwBABfN8ePHFRMTo7i4OKWmpiozM1MhISEKDw9XkyZN1LRp0zJ92ExMTNSuXbt0/PhxpaSkKDc3V8HBwapataqaNWumK664otiH+cvdyZMn9eeffyohIUEpKSny8/NT5cqV1axZMzVt2rTINSIudXFxcdq9e7dOnDhhTH9StWpVRUZGqn379k5HbxYnMzNTe/fu1YEDB3T27Fmlp6crNDRUERERatSokZo0aeLO2yhSTEyM9u7dq8TERKWmpiowMFD16tVT69atVbVqVY/VAwAAAPmIsSo+YizniLGIsYBLBR1zAAAAAAAAAAAAgAfwzisAAAAAAAAAAADgAXTMAQAAAAAAAAAAAB5AxxwAAAAAAAAAAADgAZfvaqEAAFRQW7duVWZmZplfp3HjxoqMjCzz6wAAAADAxUSMBQDwJIvVarVe7EoAAADX9erVS8ePHy/z6/z73//WgAEDyvw6AAAAAHAxEWMBADyJqSwBAAAAAAAAAAAAD6BjDgAAAAAAAAAAAPAAprIEAAAAAAAAAAAAPIA35gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAPoGMOAAAAAAAAAAAA8AA65gAAAAAAAAAAAAAP+H9au9uXqKtTDQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1750x750 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "A Plot of the univariate distribution of our Target data\n",
    "Comparing the Entire Dataset & For World Dataset\n",
    "'''\n",
    "with plt.rc_context(rc = {'figure.dpi': 250, 'axes.labelsize': 13,\n",
    "                          'xtick.labelsize': 10, 'ytick.labelsize': 10,\n",
    "                          'legend.title_fontsize': 7, 'axes.titlesize': 15,\n",
    "                          'axes.titlepad': 7}):\n",
    "\n",
    "    fig, ax = plt.subplots(1, 2, sharex=True, figsize=(7,3))\n",
    "    # Entire dataset\n",
    "    sns.distplot(df['CO2_emission'], ax=ax[0]).set_title('Target Density of Entire Dataset')\n",
    "    # Dataset only for world\n",
    "    world = df[df['Country']=='World']\n",
    "    sns.distplot(world['CO2_emission'], ax=ax[1]).set_title('Target Density for world')\n",
    "\n",
    "    plt.tight_layout(pad=0.4, w_pad=2, h_pad=2)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b9a3815",
   "metadata": {},
   "source": [
    "If we should have to deal with the possible outliers, We could apply one of the following options;\n",
    "1. **log transformation:** transform skewed distribution to a normal distribution\n",
    "2. **Find & Remove outliers**\n",
    "3. **Normalize (min-max)**\n",
    "4. **Adopting TREE-Based Modelling** To avoid much distortion of original data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2fb74182",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2598.72x2520 with 210 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A Pair Plotplot of relevant feature interactions\n",
    "# for the world & for ALL Energy Type Category\n",
    "temp_pp = df[df['Country']=='World'][df['e_type']!='all'] # Isolating only World & Energy Type = All\n",
    "sns.pairplot(temp_pp, hue='e_type', palette=\"inferno\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6dd6ee8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UbkRM62nscH9pmWvAFYpk3gsJ2rS3xayevAoMBhbsX4j3Sh8u/XEJbaz2o+b8NnqD/o1zLSOTc5uihejTqTWDxkynVc9hKJUK47mNWs3wPl2M5zbdhzLQZxoVShdDo5ZlKj4l8mwmcOrUKS5fvkzz5s0BiI6OxtPTM8nYixcvUrJkSTw8jBcUz5plnL6xdOlSpk6dCoCzszM1atTgzJkz2NvbU6JECezt7QH47LPPeP7cMheEvymLh5vJdWkBQUE4Othjm8GGLO6uBAQFJ9gXgrurZabcAWRxd+XKjYS5Bsfl+lpEZCRlihemRcPaAPgHBrFo5c84OTrgFxDIsL5dcHJ0AGD5mk18njXp59gc9GEhqD3jr9NSOGTCEBUOsS8TxaoKlOPl4Z+TvN26TkdiDq1Fd/2vj5rv2+ifB6POmiduW+Hg/KqWmESxqkIVeLnfdHEHw/MgFAmuWVE4ZDL5pt7c/HwDKFiiQNx2Zg9Xwp6FER0V/c6YHPmy45k9CwPH9QHA2dUZpUqJlbWG6cPfmC5lBp9KLYNH9qZGnaoA2DvYcevGnbh97lncCH32nKjIaJNjnvj6UaxU4STjKlevwK0btwnwCyIyIoo92w5Qp5HpVNGPpf+3Palexzgdzc7Bjts37sbtc8viyvMkann62J+iJQu/M86SUqNNSysMoYEoPssbt61wdMEQ+cKkTTO8eIY+4DH6R7cB45RIRYu+KFzcMQT4ovTMCUolunvXzJ7/mwyhQSmoJwR9YIJ6bpxF0bwPCmd3VIXK8XL3KtBpQadFe+EY6iLlif3D/NOkA58Ekq/EF3HbLh4uvAh9QUxUTIpiHDM58sPUHwh/blzQpmW/lnFTJy0hi5srV27cjttO+twmijLFCtOiQS0A/AODWbT6l1fnNkEM690p/tzm5818njWLeYuwEIMsOvLfo9Pp6NSpEzt37mTnzp1s3ryZ3r17JxmrVqtNvg0JCQkhJCQk0bc5BoMBnc747ae1tXXc7cl982MJFcuW5O9rN3nwyHjtysbt+/CqbLzmoPqX5dm+9xBarY6wF+HsP3IcryqWucjYmGsJ/r52Kz7XHfvw+rK8SUxAUAhdBo4iPMK4ut3yNZuoX7MKCoWCjTv2s3iV8QQhKOQZ2/YcpH6tquYtIgHdv1dQZc2NIpM7AOoSXmhvX0wcaGOLMpM7et87Jjer8hTHulZ7ojfMsmhnDUB39zKqbHlROBu/xFCXrok2qekyNnYond3RP/rH5GbtzfOoS1QzTr+xsUVduELSx5vJmePnKFSyANlyGq+XbNahEb8fOpmimGvnr9O8TBs61+5J59o92bF2N0d3HbNIZ+1teaYkJi3VMn/6MhpVb0uj6m35qm4nSpQqQo5cnwHwdecWHNl/PNExf/x2Ktm4+k1qMXB4LwCsrDTUb1KLU7+b50L9xTOX06JGB1rU6MDX9btRtFRhPs9pzLF1p+YcPfB7omNOHj+dojhL+tA2LS3R/fM3ys/zoXAxnvhqytdGe9309aG7eQGlsxvKrLkAUOYsiAEwhBhnD6hyFUJ396pZ806O7vYllJ8lqKdcEvXcuogykxtKz1f15HhVz7MA9E/uoS5S0RioVKEuUBrdQ9N23FwunrjIFyW+IEsO4xeu9drX5/Shv1IcU7d9PdoNMy64kjFzRmq3rcPxHYnbD3OpWKY4f1+/xYPHxk7jxl0H8apU1iQmICiELoN94s9tft5Mfa/KxnObXQdYvPoXAIJCQtm29wj1a1YxbxHio5IRtgTKly/PwoULadWqFdbW1vTr149mzZrFjbglVKRIESZMmEBgYCCurq5MnTqVcuXKUb58ebZs2YKPjw8hISH8+uuvLFq0KM1Mf3zt6o1/GDd9AVt/WoJLpoxMHj2EIT5TiI3V8lnWLEwb8w1gXIDkke9TWnTqS6xWS8sm9ShTwvyrqL3mkikjk0cNYsiYacRqtXzmmYVpPkO5evM242YsZOsPi8j5eTa6tfuKtr2GYtAbKFG0IN5DjB3vHh1aMmrSXJp27IvBAP26tadIgXwWq4fIF8TsXYl1s/4oVGr0oQHE7F6O0iMHVvW7Er16LADKTO4YIkIT/UCklVcbUIBV/a5xt+kf3zauuGZuEWHE7FyGdavBxlqe+ROzfSlKz1xYNe5B9LJRACid3TGEhyaqRXvuMEpndzL0ngEqFbHnf0X/4Ib563glNDiUqUNnMXn5eDQaNb4PnjBp0HTyF83HyNnf0Ll2z2Rj0ppPqZbXgoOeMWLgeBavnoXGSsPD+4/5pu8YAIoUL8DUeWNpVL3tW+Omjp3L5Dne7P99EwCH9v7Gj9+vT/YxP5aQoGf4DJrE/FXTUGvUPHrgy+j+EwAoVCw/E+d606JGh7fGpRkf2KalJYaI58RsXmxcnl+tRh/sR/TGhSiz5sb6q75ELRiGITyUqDUzsG7a03idnjaW6LUz4hbjULhkQZ9w6rcFGSLCiNm6BJt23xifmxA/ojctMtbTvA9Ri74x1rN2JtZNe4DGBnSxRP88E7SxxOz9AevGPbAdshCDQY/u7mViT+y0SC3Pg5+z4JsFjFo2CrVGjd/Dp8wdPJc8RfMwYMZABtUbmGwMwJYlmxk6fyiLDy9BoYB1c37m9uXb73jUj8clU0YmjxjAkHEzjedhnh5MGz2IqzfvMG7WYraumk/Oz7PS7evmtO3zLQaDnhJFCuA9yDiFu0e7rxg1ZR5NOw/EgIF+XdpSJH/edzzqJ8LCi4GYi8KQVoZ50oilS5fGXZNWuXJlRo8eneS8YoADBw6wdOlS9Ho9xYsXZ8KECURFRTF+/Hhu3bqFTqejc+fOtGrVim3btnHmzBmmTzeeAHXo0IH+/ftTrly5FOUVG3Qv1WpME9Lwh/T7erlqsqVTSF0xiacupVe1V1h+4QKRNL+YUEunkKpsVBpLp5BqzgzOb+kUUpUh1Pwrf340ymSuEUyn2q5LPGU+vdp22vIrm6YmTZYC7w5KA2Jum281TOu8Fc32WG+SDls6IR22tEs6bGmXdNjSLumwpV3SYUvDpMOWZkmHzTJi/kn6N4Y/But8lvupIZkS+RbR0dG0bt06yX0DBw6kRg3zXJwuhBBCCCGE+G+SDttb2NjYsHOnZeZnCyGEEEIIId7iE5qx9TaySqQQQgghhBBCpFEywiaEEEIIIYRIf+R32IQQQgghhBBCWJKMsAkhhBBCCCHSn//I77DJCJsQQgghhBBCpFEywiaEEEIIIYRIf+QaNiGEEEIIIYQQliQjbEIIIYQQQoj0R65hE0IIIYQQQghhSdJhE0IIIYQQQog0SqZECiGEEEIIIdIdg0Fn6RTMQkbYhBBCCCGEECKNkhE2IYQQQgghRPrzH1nWXzps6YX+ExvyVaosnUHq0RssnYFIhgqFpVNIVZ/SK03zKbUBgO5TOmnQfWKfN59QG62w+rRO29SfUBtt0GktnYL4hH1a73whhBBCCCHEf4Ms6y+EEEIIIYQQwpJkhE0IIYQQQgiR/nxK09HfQkbYhBBCCCGEECKNkhE2IYQQQgghRPrzqS3KlwwZYRNCCCGEEEKINEpG2IQQQgghhBDpj1zDJoQQQgghhBDCkmSETQghhBBCCJH+yO+wCSGEEEIIIYSwJBlhE0IIIYQQQqQ/cg2bEEIIIYQQQghLkg6bEEIIIYQQQqRRMiVSCCGEEEIIkf7IoiNCCCGEEEIIISxJRtiEEEIIIYQQ6c9/ZIRNOmwWsm3bNs6cOcP06dPN8njHT55l/vc/ERsbS77cOZg4chD2drYmMeu27OaXbXuwtrYiV/bP8BnaBydHB56HvWDinKXcun2PDDY2NK1fk3ZfNTJL3skxGAx4T55D3tw56PL1V4n2Hz95hvnLfiD2ZSz58uRk4qjB2NvZodPpmLVoBX+ePo9Wp6Nz2xa0btbAAhXEU+UphlW1lqDWoA94RMyelfAyOm6/ukgl1OXqxm0rrG1ROGQictFgiAgz3ubgjE2XsUSt8IGocHOXEEeVtwRWNduASo3e/yExu5ZDTJRJjMLtM6zrdwZrWzDoebl7Jfqn/0IGO6wbdEPpkR1DbAzai8fRnjlomUJeKV+jHL1GdkdjreHujXvMGDabyPDIFMfsurKNwKeBcbEbvtvE4e2/mrWG1yq8kef0JGpJSczkFeMJ8g9mvs8ic6afpKo1KzHUpx9WVlbcun4b78GTiQiPSHGctY01Y6d/S5EShVAoFFy+cJWJI2cSEx0jtXwAVZ7iWFVvZWzT/B++atPi2wF1kS9Rl6sXt62wyYDCwZnIhQPj2zRHZ2w6jydqxWjLtmn5S2FVvz0KlQb90wdEb16cqE1TenyOddMeYGMLej0xW79D73sPmw7DUWTOEh+XyQ3dvWtE/zjN3GXEUeUrgVWtr43Pjd8DYnYsS9xGu3+GdYOucfW83LUc/ZNXbXSjHiiz5MDwMhrthWNoTx+wUCVQyqs07Ud0RGOl4cHN+ywevpCo8KgkYwfOHcyDmw/YuXw7AEqlks5julKiailUaiU7l2/n4M+WqwXgxF/nmb9yHbGxWvLm+pyJ3/RNfJ62fR8bdhwwnqd9nhXvgd1xcnRAp9MxddEqzv19HYDK5UowrFdHFAqFJUoRH4FMifwPCHn2nDHT5jN/8ij2rP+ebJ4ezFv2o0nMmQuXWb1+CyvnT2HrD4uoXL4042caT8hmLFqBbQYbdq5dyvrvZ/PH6XMc+/OMBSoxunv/Id0GjuLwsT+S3B/yLJQxU+Yyf4oPezasNNb73Q8AbN65nwePfNm+dhkbVi7g5007uHL9ljnTN2XrgHXDHkRvXUTUshHonwVg5dXaJER75U+iV44x/ls9HkP4c14eXBt3YqMuUgmbjt4oHZwtUUE8Wwesm/YieuM8ohYPM9ZSs61pjMYKmw6jiP1zN9HfjyL2+DasW/QDwKpORwwvo4la8g3RK8egylsMVb4SFijEyMnZiVFzhzOm53jaV+nM0wdP6TW6e4pjPsudjRehL+hWu1fcP0t11jK+ytOn53jaVenMkwdP6f1GLSmJ+bpPa4qVK2LO1JOVySUjUxeMZWCXEdSr+BWPHvgybEz/94rrPbgLKrWKJtXa0qRaW2xsrOk5qLOZK/m0asHWAetGPYjesoCo74ajD02qTfuD6JXexn+rx75q09YkaNO+xKajD0pHC7dpdo5Ytx5A9JqZRM7qjz7ED+v6HUxjNFbY9BjHy2PbiZo/jJe/bsbm6yEARK+dRdS8oUTNG0rM5qUYoiOI2b7cAoW8YuuAdbO+RP8yh6gFg41tdK2vTWM0Vth08iH2911ELx1B7LGtWH81EACrep2NbfTCIUQv90aVrziqfCUtUAg4OjsyYPYgZvaaRv/qffB76EeHkZ0TxWXLk42Jv0ymQv1KJrfXblcXz5xZGVSrH8MbDaVh1ybkLZbXTNknFhL6nDGzljBv/HB2/7SQbFncmb9ynUnMmYtXWb1hBytmj2PL8tlULleSCXO/B2D34RPcf/SEbSvnsGXFbM5dvs6hE6csUYrZGQw6s/2zpP98h2358uU0a9aMxo0bM3PmTAwGQ7KxFSpUYOzYsTRq1Ig2bdrw+PFjALy8vBg8eDB16tQhODiYrVu30rBhQxo1asTIkSOJiDB+S7pjxw7q1KlDixYtOHbsmDnKA+Dk2QsUyp+X7J9lBaB10/rsPXzMpNZrt+5QvlRxPNwyA1CzakWOnTxDbGws12/doVGd6qhUKjQaDVUqlOHwsT/Nlv+bNmzdQ4tGdahdvXKS+0+euUChAvni623WkL2HfsNgMHDk+EmaNqiNWq3CydGBujWrsvvgUXOmb0KVszC6p/cwPPMHQHvhKOpCFZKN11RogCEyDO3F3wBQ2GdEla8U0b/MMku+b6PKXRSd7z0MIX4AaM8dRl2kUqIYwzN/dLcvAaC7dZ7ozQuN+zxzor38OxgMoNOh++ciqoLlzFpDQmWrlubm37d4/K8vADvW7KJWsxopjilcqhB6nY5F2+bzw+EVdBrcAaXSMk1umRTU8q6Y4hWKUbZ6GXas3W2+xN+iUrXyXLl0nQf/PgJgw49badSi7nvFnfvrIsvmrsZgMKDX67l+9RZZs3mYr4gU5JjSuLRSiypXEXRP/o1v087/irpwxWTjNRUbYogIQ3vB2A4r7DOi+qIU0etnmiXft1HnK47+0W0MQU8BiD11AHWJKiYxqnzFMQT7o7t5AQDdtTNE/zzb9I5UamzaDCRm12oMz4PNkntSVHmKofO9G99GnzmEuljlRDGGEH90ty8CoLt5juiN84z7PHOivXQivo2+dRFVofLmLeKV4lVKcPvv2zy9b3xuDqzdT5WmVRPF1evYgMMbDnNyr+k5S7m65Tm6+Qh6nZ6I5xH8sfsEVZpXN0vuSTl57m8KfZGH7NmMI7KtG9dh76+/m5ynXb99l/Ili+Lh6gJAjS/Lceyvc8TGxqLX64mKjuZlrJbY2FhiY7VYa6wsUov4OP7THbYTJ05w9epVtmzZwo4dO/D392fXrl3JxoeEhFCiRAl2795NgwYNmDx5cty+KlWqcPDgQYKCgli2bBlr165l9+7dZMiQgcWLF+Pv78/s2bNZt24dGzdujOvEmYNfQBAe7pnjtt1dMxMeEUlEZPzUgaIF83H6wmWe+AUAsGPfYWJjtYQ+f0GRgl+w++BvxGq1REZGcfj4SQKDQ8yW/5u8h/WlQe3kG1a/gCA83FzjtuPrjcQ/IDCuU/p6n39A0EfN922Uji4YwuL/loawEBQ2tmBlkzg4gz2acvV4eTj+WzdDeCgxWxfGfQBbktLJBUNY/MlIXC3WGeJjXLJgCH+OVeOe2PScgk3H0ShedWJ0j++gLloZlCqwskZdsBwK+4zmLiOOm6crAU/ipzMGPg3E3tEeW3vbFMWo1CrO/X6B4e1GMqDFYMpWK02Lrk3NWYJJnv4pqCW5GBd3FwZN7Mek/lPR69LG9QJZPN3xe+Ift+33JAAHR3vs7O1SHPfnsdPcv/cQAM9sHnTq2ZYDu8w/Cvop1WJs05JoB6wyJA7OYI+mXH1eHv45Pj48lJgtC9JEm6bImBlDaIJangejyGBn2qa5emJ48Qzrlv3IMHAWNj3HG9uwBNRla6APC0F39bS5Uk+S0snFpMNoCAtOpo0Oxappb2x6T8Omsw+KV/XoHt9BXbxKfBtdqBwKh4zmLgOAzJ6uBD+N/+wOfhqEnaMdGexNX2crxn7P7zuPJz4+iytBTxIeH0xmD5ePl/A7+AUGx3XEANxdXRKdpxXJn5czl67yxN/YTu84+JvxPC0snCZ1quHoYE+N1j2p3rIHn2f1oFrF0mavwyL0evP9s6D/dIft1KlTXL58mebNm9OsWTOuXr3KnTt3ko23tramadOmADRr1ozTp+Mb32LFigFw9uxZqlevTqZMmQBo3bo1f/31FxcvXqREiRJkzpwZtVpNo0bmuwZMrzegIPE85oTf9pcqVpg+XdoyaPQUWnUfjFKpxMnRAY1GzfB+3VCgoGXXgQwcPZkKpYuj0aTdyx/1ej1JTdtWKlXoDYY35nQbUKks+DZQKIzfVr7JkLhh0JSojvafCxhCAxPHpwXJ1ZKwkVOqUOUtjvb8r0Qv9yb29EGs240AlZqXh34GDGToPQ2bNsPQ3b0COq3Z0n+TQqlMcsQ9YYflbTF71u9jwZjFREdFEx4WwablW6hc98uPmnNylEplks9NwlqSi1EoFIxf4s2i8UsJDrDcFzVvUioVSf/t9br3jitUND8/71rBulWbOHY46anWH9OnVIux8U1hm1bSC+0/59N2m5ZULSZtmhpV/lLE/nWIqIXDif1zHzbdfEAV/xlpVbkxsUc2f/x830Wh5J31qFSo8pZAe+4I0ctGEfvXAaw7jDK20QfWgMFAhr4zsPl6OLq7l0FnmWliCkUy74UUfqH05ntJoTCeO1iKQa9P8nozk/O0ogXp06Elg8fOpHWfb1EqFDg52KNRq/luzWYyOTlyfMtKjmz4nudh4fy0KfkBCJH+pN2zbjPQ6XR06tSJLl26ABAWFoZKpUo2XqlUxr2h9Hq9Say1tXXc7QkZDAa0Wm2ixkWtNt+fPou7K1duxF+nFRAUjKODPbYZ4kdxIiIjKVO8MC0a1gbAPzCIRSt/xsnRAb+AQIb17YKTowMAy9ds4vOsnmbL/31l8XAzuS4tICgort4s7q4EBAUn2BeCu2vmpO7GLPRhwaiz5o7bVjhkwhAVDrEvE8WqCpbj5aG15kzvveifB6POmiduW+Hg/KqW+EUPDC+eoQ/0Re97FzBOiVQ07okikxvExvDy8HqIMo4+ayo3wRDij6X4+wZQsET+uO3MHpkJexZGdFR0imJqt6jJnev3uHfjnnGnQoFWa5kOqL9vAAVSUEtSMTnyZSdL9iz0H9cHAGdXZ1QqJdbWVswYPsd8RQADRvTCq45xSpq9gx3/XI//gs09iyuhz54TFRltcswTX3+KliycbFz9prUYO2MEk0fNYs828y1y8ynVkpD+eTBqzwRtmmOmRO3Aa6qC5YzX46ZRhtAgFJ/ni9tWOLpgiHxh2qaFhaAPeIz+0W3AOCVS8VVfFC4eGAIeo/TMCUolunvXzJ7/m/TPg1Bne6ONjnyjjQ571UY/Nr4edTfPoWjaG4WzO7yMNn6x9rqNrtLMYiOhQU8CyVci/rlx8XDhRegLYqJStshO4JNAnN3jr5HM5O5M0FPLTVf1cHPl8s3bcdsBQSFJnKdFUbpYQZrXN05V9w8MZvEPG3BytOfXP04zqn83NBoNGo2GxrWrcfjEKTq1amz2WswuiS+DPkX/6RG28uXLs3PnTiIiItBqtfTr14+DB5P/kIuKiuLoUeM8+23btlGlSpVEMWXLluXo0aOEhoYCsGnTJsqVK0epUqW4dOkS/v7+6PV69u3b91FqSkrFsiX4+9otHjwyXpuyccc+vL40nXceEBRCl4GjCI8wrgi3fM0m6tesgkKhYOOO/SxeZZyyEhTyjG17DlK/VuK54mlFxbIl+fvazfh6t+/Dq7LxurDqX5Zn+95DaLU6wl6Es//IcbyqJH/N2Memu3cFlWduFJncAVCX9EL7z4XEgTa2KDO5x32IpkW6u5dRZcuLwtl43Yy6dE20N8+Zxty5hDKTG8osOQFQZs8PGDCEBqIuXROr6i2NgXZOqEtWR3vFctdKnj1+joIlC5Itp/FayCYdGvHHoZMpjsn1RU66fdMZpVKJlY0VzTs34eiuY2at4bUzx89RKEGeTZOoJbmYa+ev81WZtnSt3YuutXuxc+1uft11zOydNYBFM76nmVc7mnm1o3W9LhQrXZjsOT8DoE2nFhw9cCLRMX8e+yvZuOq1K+M95Ru6txpg9g7Op1RLQrp7V1BlzZOgTavxjjbtduJ9aYTu1iWUn+eLW+lRU6EO2mtn3oi5gNLZDWXWXAAocxbEAHFfNqlyFUJ354pZ806O7s7fqD5L0EaXrYX25lnTmNsXjW205+s2ugAYDBieBaAuUzt+ARk7J9SlvNBetsAoLnDpxEXylfiCLDmMz02d9vU4cyjlU07PHDpNjda1UKqU2DraUblRFc4c/OtjpftOFUsX4/L12zx4bLwmb9PuQ1SvWMYkJiA4hC5Dx8Wdp61Yv416Xl+iUCgokDcnB48b2/RYrZZjp85StGA+xKdDYXjbKhv/AUuXLmXv3r3odDoqV67M6NGjk10G9YsvvqBJkybcuHEDNzc3ZsyYQebMmfHy8mLNmjVky5YNgM2bN7NmzRpiY2MpVKgQEyZMwN7engMHDrBgwQIyZMhAnjx5UCqVKV7WPzbgwz7UTpx6tay/VstnnlmY5jOUR0/8GDdjIVt/MK4GuX7rbn7ZvheD3kCJogXxHtIbG2trIiIjGTVpLg99n2AwQPf2LWlU5wMvzlUmP5KZUt6T55AnV3a6fP0VV2/8w7jpC9j60xIATpw8w/zvfyQ2VstnWbMwbcw3ODk6oNXqmL14BafOXiRWq6Vlk3pJ/izA+3j5/fgPOl6Vuyia6q1QqNTonwUQs+t7lJncsGrQleiVYwBQZsmJddO+RH03PNn7sfNeQ8Tcvh++BHZs7P99qCpvcTQ12ryqxZ+Y7UtRZnLHqnEPopeNAoydNKta7VBYWWPQxvLywBr0D2+BlQ3WzfuidPYAFLz8Yye6DzwZqLci4IOOL+9Vlp6juqPRqPF98JQpg6bj+XkWvp09jG61eyUb8yL0BdY21gyeMoBCJQui1qj4bc8JVkxf9UH5fEhjXd6rLL1GdUetUfPkwVMmv6plxOxhdE1Qy5sxL0JfmNxPl6EdcXJ2+uBl/QNjwz7oeIAqNSoy1KcfGo2GR/cfM6L/eJ6HhlG4WAEmzfOhmVe7t8btP7kFp4yO+PvFT8m7cOZvJo00/4IXaamW8wO/+KBaVLmLofFK0KbtXPaqTetO9EpvAJRZcmHdrB9RS4clez92Pj8TMaf3B7dphuf//zXjqvwlsar3aln/YD+iNyxA6eKOdct+RM0bChg7adYNOxmvPdbGErNzFfr7NwCwatYTQ1gIsb9u+aAaXlPYaD7oeFXeEmhqtzU+NyH+xGxdbGyjm/Ymeum3gLGTZlWn/as2WsvLfT/Et9FfDUDp7A4KBS9P7ED39+8flE/7n5Jehj8lSlYvRfsRndBo1Pg99GPB4Lm4Z/eg34wBDK03yCR2wJzBPLyVYFl/lZLOPl0pVrkEao2aQ+sOxO37f208OfWDjj9x+gILVq4znqdlcWfqyAE8furPuDnL2LLcuJDN+h372bDzgPE8rXB+Rg/sho21NaHPXzB10Upu3PkXlVJJuZJF+KZXRzSa///1YpUtbawI/C5Rv5pv5dUMNXqa7bHe9J/vsL2PL774glu3LLME/Id22NKcVOiwpRUf2mFLcz6gw5bWfGiHLa35lBrr1OiwiY/jQztsac2HdNjSmg/tsKU1H9JhS2s+tMOW1kiHLTFLdtj+09ewvSk6OprWrVsnuW/gwIFmzkYIIYQQQgiRrP/INWzSYUvAxsaGnTt3JrvfUqNrQgghhBBCiP8m6bAJIYQQQggh0h8L/z6aufynV4kUQgghhBBCiLRMOmxCCCGEEEIIkUbJlEghhBBCCCFE+vMfWXRERtiEEEIIIYQQIo2SETYhhBBCCCFE+iOLjgghhBBCCCGEsCQZYRNCCCGEEEKkPzLCJoQQQgghhBDCkmSETQghhBBCCJH+yCqRQgghhBBCCCEsSUbYhBBCCCGEEOmPXMMmhBBCCCGEEMKSZIRNCCGEEEIIkf78R65hkw5bOvFy1WRLp5C69AZLZ5BqrHqNt3QKqcoQEWrpFFKNYcVwS6eQqrR8Oh9MUboYS6eQqmxVNpZOIdVY9Rhj6RRSlf6Zn6VTSD2f2Mnp01UTLJ1Cqon9bqKlU0hVVlM2WzoFkYB02IQQQgghhBDpj1zDJoQQQgghhBDCkmSETQghhBBCCJH+fGLThJMjI2xCCCGEEEIIkUZJh00IIYQQQggh0iiZEimEEEIIIYRIf2TRESGEEEIIIYQQliQjbEIIIYQQQoj0R0bYhBBCCCGEEEK8j927d1O/fn1q167NunXrEu2/du0aLVq0oHHjxvTq1YuwsLC33p902IQQQgghhBDpj8Fgvn8p5O/vz7x581i/fj07duxg48aN3LlzxyRmypQpDBw4kF27dpEzZ05WrVr11vuUKZFCCCGEEEII8RZhYWFJjoQ5Ojri6OgYt33y5EnKly9PxowZAahTpw4HDhygf//+cTF6vZ6IiAgAoqKicHJyeutjS4dNCCGEEEIIkf6Y8Rq2n376icWLFye6vX///gwYMCBuOyAgAFdX17htNzc3Ll++bHLMyJEj6dq1K1OnTiVDhgxs2rTprY8tHTYhhBBCCCGEeItOnTrRrFmzRLcnHF0D4+iZQqGI2zYYDCbb0dHReHt78+OPP1K0aFF++OEHRowYwfLly5N9bOmwCSGEEEIIIdIfM46wvTn1MTkeHh6cO3cubjswMBA3N7e47X/++Qdra2uKFi0KQOvWrVmwYMFb71MWHRFCCCGEEEKIVFCxYkVOnTpFSEgIUVFRHDp0iCpVqsTtz549O35+fty7dw+AX3/9lSJFirz1PmWETQghhBBCCJH+GNLe77C5u7szZMgQOnbsSGxsLF999RVFixalR48eDBw4kCJFijBt2jQGDx6MwWDAxcWFqVOnvvU+pcOWQlqtlhUrVrBr1y4UCgU6nY5mzZrRq1cvFi9ezIYNG8icOTMGgwG9Xk+bNm1o3749AIsWLYrbD8a5q3Xr1mXIkCFmy1+VuxhW1VqCSo0+4BEx+1bBy+i4/erClVCXrRO3rbC2ReGQicjFQ+BlFFa1O6LyzAUo0D25y8tDa0Aba7b8E1LleVWLWmOsZc9K01qKVEJdrm7cdlwtiwZDhHF1H4WDMzZdxhK1wgeiws1dggmDwYD35DnkzZ2DLl9/lWj/8ZNnmL/sB2JfxpIvT04mjhqMvZ0dOp2OWYtW8Ofp82h1Ojq3bUHrZg0sUEG8E6cvMH/1BmJjteTN+TkTh/bE3s7WJGbdjgNs2HUIaysrcn3uiXf/rjg52jN04jwePvGPi/P1C6B00QIsmjjc3GXEqVCjHL1GdkdjreHujXtMHzabyPDI946ZvGI8Qf7BzPdZZM70TVSsUZ4+CfKcMmxWojxTEjNtxQSC/IOZ47PQnOknyatWZb4dMwgraytuXvuHbweNI/xFxP8V9/1Pc/H3C2TsiGnmSt9E1ZqVGOLTFysrK25dv4PP4MlEhCeu5V1xHp5ubNi/mqbV2xEa8tycJcQ5fuos879fQ2yslny5szNxxMDE7cDWPfyybS/W1lbkyp4NnyG9cXJ04HnYCybO+Y5bd/4lg401TevXpF2LhhapA+DEucssWLOdl7Fa8uXIyoQBnbC3zWASs37PUX7Z+xs21hpyZsuCd6+vcXKwM4kZMu07XJ2dGN3ra3Omn8iJc1dYsHZHfD39OyRRz2/8su8YNlYacn7mgXfPtonrmb7MWE/PtuZM30TFGuXpO6oHGmsNd67fY8qwmUm2aUnF2DnY4T3nW7Ln+RylUsG+zQdZu+QXC1VipPqiJFa1vwaVBr3fA2K2fwcxUSYxCvfPsW7YFWxswaDn5Y7l6J/cA4USq0bdUOUsCIDu1gVeHlhriTLEK40aNaJRo0Ymt61YsSLu/1WrVqVq1aopvj+ZEplCEyZM4PLly2zcuJF9+/axdetWTp06xfr16wFo06YNO3fuZNeuXaxZs4aNGzeyefPmuONf79+5cyfbt29n586d/P777+ZJPoMD1g26E71tEVHLR6IPDcSqeiuTEO3VP4lePdb478cJGCKe8/LQWogMQ1OxMShVRK30IWqVNwqNFZoKFvoAtXXAumEPorcuImrZCPTPArDyam1ay5U/iV45xvhv9XgM4c95eXBtXGdNXaQSNh29UTo4W6ICE3fvP6TbwFEcPvZHkvtDnoUyZspc5k/xYc+GlWTz9GDedz8AsHnnfh488mX72mVsWLmAnzft4Mr1W+ZM3zTX0DDGzP6eeWOHsHv1XLJlcWP+KtMPwDOXrrF6025WzPBmy7LpVC5bggnzjQ3Y3LFD2LJsOluWTWf8kB442Nvh3b+rJUoBIKOzE6PmDsen53jaVenMkwdP6T26+3vHfN2nNcXKvX2qw8eW0dkJ77nfMqrnONpU6YTvg6f0Hd3zvWPa9WlDsXJFzZl6spxdMjFr0SR6dx6KV7nGPHzwmJFjB/9fcb0GdKFM+ZLmSTwJmVwyMmXBGAZ1GUn9ii15/MCXYWP6vXdck1b1WbtzOe5Z3BIday4hoc8ZM20h8yeNYs+678iWxYN53/9kEnPmwmVWr9/KynmT2Lp6AZXLl2b8rCUAzFi0EtsMNuxcs5j1y2bxx1/nOXbyrCVKIeT5C8Ys/Im5I3uz+7tJZPNwZf6abSYxZy7fZPW2A6yYNJTN88dSuVRhJiwxPVFeve0AF67fNmfqSQp5/oIxi9Ywd0RPdi+dQDb3zMxfs90k5syVW6zefpAVEwezeb4PlUsWZsLSn01iVm87yIXrpr8pZW4ZnZ3wmTeCUT3G0rpyR548fEK/JNq05GJ6fduVgKeBtPPqQpd6vWnesQmFSxW0RClGto5YN+9L9PrZRM0fhP6ZP1Z12pnGaKyw6eJD7O87iV7yLbG/bcG61UAA1MWroMzsSdTCYUQt+gZlzoKoCpe3QCEWoNeb758FSYctBfz8/Ni1axfTp0+Pu9jQ3t6esWPHxo2aJeTs7EyfPn3iOnNvsrW1pWjRoty+bZ4GXJWrMLqn9zA8M45eaC8eRV2wQrLxmvINMESEob10DAD9o1vEntwJGH84UO/3AIVT4rrNQZXzjVouHEVd6C21VGiAITIM7cXfAFDYZ0SVrxTRv8wyS77vsmHrHlo0qkPt6pWT3H/yzAUKFchH9s+yAtC6WUP2HvoNg8HAkeMnadqgNmq1CidHB+rWrMrug0fNmb5prucvU+iLXGTPmsWYa8Na7D36J4YEPzZ5/fa/lC9RGA9XFwBqVCrDsdMXiI3VxsXExmrxnvUdI3p3xMPNxbxFJFCmamlu/n2Lx//6ArBjzS5qNavxXjHFKxSjbPUy7Fi723yJJ6Fs1TLcSJDntjU7qfNGLe+KKVGhGOWrl2HH2l3mS/wtqlSvwOWLV7l/7yEAP6/eRJOv6r93XPlKpalWoxLrftyc6FhzqVStHFcvXefBv48A+OXHrTRsUfe94lzdM1OjXlV6tB5ovsSTcPLMRQrlz0v2zzwBaN20HnsPHzdpB67dukv5UsXwcDN+jtSsUoFjJ88QGxvL9X/u0qhOdVQqFRqNhioVSnP42J8WqeXUxesUzpOd7J7uALSqW5V9x0+btml3H1K+WAE8MmcCoEaFkhw/ezmuTTt75RZ/XrhGy7op/yb9Yzl16c16qrDvxJk36nlA+aL5E9RTguNnr5jWc/E6LetUSfwAZlSuahluXLrJo9ft1U+7qNO8Zopj5o5ZxKKJ3wGQ2d0FjZWG8LDEI9rmospbFJ3vXQzBfgBoTx9CXcz0vECVpxiGYH90/1wEQHfjHNG/zDXuVCrByhrUalBrQKW22Cwo8XFIhy0FLl++TO7cuRP9qF3u3LmpU6dOksfky5cv7mLCN/n6+nLhwgWKFSuW6rkmRengjCEsJG7bEBaCwsYWrGwSB2ewR1O2Li9/je9s6v69iiHE2EFSOLqgLlMb3c0zHz3vpCgdXd6vlnL1eHl4XXx8eCgxWxdiCPEzR7rv5D2sLw1qV092v19AEB5u8b/l4e6amfCISCIiI/EPCIw74Xm9zz8g6KPm+zZ+gcFxHTFjPs6ER0YRERk/paNI/jycuXSNJ/6BAOw4dJzYWC2hYS/iYrYd+A1Xl0zU+LKM+ZJPgpunK/5PAuO2A58GYu9oj629bYpiXNxdGDSxH5P6T0Wvs+w3c+6ergQ8CYjbTqqWt8VkdndhyMQBjO8/BZ2Fa3ktS1YPnvjGv4+fPvHH0dEB+zembr0tzs3DlXFTRzCo10iL1uXh6c7TBH97/ycBODjaY2dvl+K4QP8gBnYZEdcxtRRjm2XaLhnbrPh2oGjBfJy+cJknfsZaduw7YmwHnr+gSIF87D74G7FaLZGRURw+fpLA4GdmrwPALygEj8zxMzHcM2ciPDKaiKj4KfhF8uXkzOWbPAkIBmDnr38Sq9US+iKcgOBQZqzcyPSh3VAqFYnu39z8gp7FdcQgmXry5uTMlVsJ6jn5qp4IAkJCmbFqE9OHdLV4PW5Z3Uza3oCk2ud3xOh0OsYv8mbd0R+4cOoSD+8+Ml8Bb1A6ZcbwPP7z2xAWbDy3sY6frqrMnAVDeChWzfpg03c6Nl3GoFCpANBeOIYhKgLbEd9jO3I5hmA/dDfPm70OizAYzPfPgqTDlkIJfz/hwIEDNGnShEaNGtGiRYtk421s4jsRGzZsiDumX79+9O7dm1KlSn30vF8lk/TtSVyoqSleDe3tCxhCAxPtU3rkwKa9N9rzR9Dd+Tu1s0wZhSLpN01StZSojvafpGtJL4y/5ZH4dqVShf6N3/UAAyqV5d7Sb/7OyGtKZXxOpYrkp0/7FgyeMJfW/UajVChwcrBHo4m/nHbttn30+jrx75yYm1KpTPK1lrDzlVyMQqFg/BJvFo1fSnBASKL95qZUKk2+RX/tzVqSilEoFExcMoYF45ekiVpeUyqVJPXx+WbHK7k4BQoWLZ/BJJ9ZBPhb7osOeMtrTa/7v+IsSW9Irs1K0A4UK0Sfzm0Y5D2VVj2GolQqcXJ0QKNRM7xfVxQKBS27DWag91QqlClu0j6Yk95gSPLz06SWQnnp3aYRg6ctpc3QKSgUSpwc7FAqlYyYs4Lh3Vrh6pzRjFknT69PYT2tGzJ4+jLaDJuKQqF4VY+CEXNWMbxrS1ydnRLdh7kpkzkXMGnTUhAzfsAU6hZugmNGB7oO7fhxkk0JhYIkG6qE0/BUalT5SqA9e5jopSOJ/Ws/1h1Hg0qNxqslRIQROa0HkTN6o7C1R13Jctd+itQni46kQOHChbl79y7h4eHY29tTt25d6taty+PHj+nYMek3+K1bt8idO3fcdps2bUx+Bd2c9GEhqD3jc1E4ZMIQFQ6xLxPFqgqU4+Xhn5O83bpOR2IOrUV3/a+Pmu/b6MOCUWdNYS0Fyxmvw0vHsni4mVyXFhAUhKODPbYZbMji7kpAUHCCfSG4u1pmqiqAh6sLl2/GX9cQEBSCo4Mdthniv7iIiIyidNECNK9nHFX0Dwph8U+bcXKwB+DGnX/R6vSULlrAvMknwd83gAIl8sdtZ/bITNizMKITfBudXEyOfNnJkj0L/cf1AcDZ1RmVSom1tRUzhs8xXxGv+Pn6U7BE/N/U1cM1US3JxeTMlx3P7FkYOK4vAC6uzihVSqysrZg2fLb5igCGjuxLzbrVAHBwsOfmjfhp5R5Z3Ah99pyoSNOL9J88fkrxUkUSxeX9Ihef58iGz6RvAHB1y/zqObJmxODxH72WASN6Uv3VtDJ7Bzv+SXBNkHsW11e1RJsc89TXj6IlC70zzpKyuLty5fo/cdsBQcFxbdZrEZGRlClemBYNawPgHxjMolXrcHJ0wC8giGF9OuPk6ADA8rWb+PzVNGtzy+LqzJV//o3bDggOxdHeFlsb67jbIiKjKV04H81rfQmAf/AzlqzfyWO/QB77BTF79SYAgp6FodfriXmpZcIAy3QMsrg6c+X2O+qJiqZ04bw0r1UJeFXPL7t57Bf0qp4tAASFJqinfwfzFoKx7S1UMmF7lZnnSbTPycWUq1qGuzfvEeQfTFRkFId3HKV6A8tN89SHBqH+LG/ctsLRGUNkOMTGxN1mCAtBH+iL/rGxrdDdOIeiWR8Uzu6oC5UlZvdq0GlBp0V74TiqwuXR/rnH7LWYnYWvLTMXGWFLAU9PTxo3bsyIESMICzMuXKHVajl27JjJN1OvBQQEsGzZMtq1a5donyXo/r2CKmtuFJmM89bVJbzQ3r6YONDGFmUmd/S+phcTq/IUx7pWe6I3zLJoZw1Ad+8KKs8EtZT0QvvPhcSBr2t5bNkLoz9UxbIl+fvaTR48Ms7B37h9H16VjdfsVf+yPNv3HkKr1RH2Ipz9R47jVSX56/k+eq6linL5xm0e+D4FYNOeI1SvUNokJiD4GV2GTyI8wriS14r126lXvWLcyNy5yzcoV7xQkiN15nbm+DkKlSxItpzG6webdmjEH4dOpijm2vnrfFWmLV1r96Jr7V7sXLubX3cds0hn7XWehUsWiMuzWYdGnDj0Z4pirp6/TtMyrelUuwedavdg+9pd/LrrN7N31gDmTl9K/WqtqF+tFU3rtKdEqaLkyPU5AO26tOTQ/t8SHXPit1NJxl04d5kKRWvH3d+6HzezZ8dBs3TWABbNWE5zr/Y092pPm3pdKVa6MNlzfgZA607NOXrgRKJj/jx2OkVxllSxTAn+vn6LB4+eALBx5368vixnEhMQFEKXQd5x7cDytZuoX6MyCoWCjTv3s3iVcRp7UMgztu05TP2alrn+q0Lxgly+dY8Hr1av3XzgONXLFjeJCQgJpav3bMJffVGwYvM+6lUuQ7H8uTm8egab549l8/yxtKxbhTpflrZYZw2gQvECXL71b3w9B09QvazppRkBIaF09ZmboJ791KtcmmL5c3F41TQ2z/dh83wfWtapTJ0vS1mkswZw+vhZCpcsyGev26uOjfn9jTbtbTE1Glej29BOAGisNNRoVI1zfyRxLmEmujt/o/osLwoXDwDUZWujvWG62I7un0soM7mh9MwFgDJHATAYMDwLQPfkX9RFKhoDlSpUBUqjf/QP4tMhI2wpNH78eH744Qc6duyITqcjIiKCcuXKsWLFCvbs2cOGDRs4cuQICoUCg8FA69atadDAskusx4l8QczelVg3649CpUYfGkDM7uUoPXJgVb8r0avHAqDM5I4hIhTemF5j5dUGFGBVP37FPv3j25YZvYp8QcyeFVi3GGCs5VkAMbu+R5klJ1YNuhK9cgzwqpbw0ES1pAdXb/zDuOkL2PrTElwyZWTy6CEM8ZlCbKyWz7JmYdoY44hA62YNeeT7lBad+hKr1dKyST3KlLDcCn4umZyY9E1vhk6ab8zV052pw/ty7Z+7jJu7gi3LppPzM0+6tW7M1wPHYDAYKFHoC0b37xJ3Hw98/fB0t9woYUKhwaFMGzqTScvHodaoefLgKZMHTeeLovkYMXsYXWv3SjYmrXkWHMrkoTOZunwCGo0a3wdPmDhoGvmL5mPU7OF0qt0j2Zi0KjgohOEDxvDdD3OwstLw4N9HDOnrDUCR4gWZMX889au1emtcWhES9AzvgZOYv3o6Go2aR/d9Gdl/PACFihVg0jxvmnu1f2tcWuGSKSOTRw5iyNjpr9osD6Z5D+HqzduMm7mYrasXkPPzbHT7ugVte31jbAeKFMB7SC8AerT/ilGT59G0U38MBgP9un1NkQJ53/GoH6mWjI5MGtiZYTO+J1ar5TMPV6YM7sq12/cZv2QNm+ePJWc2D7q1qEu74dPQ6w2ULJiHURZc6v5tXDI6MmlAR4bNXE6sVmesZ1Bnrt15wPjFa9k834ecWT3o1rwO7b6dYaynQG5G9Wxj6dQTeRYcyqQhM4ztlZWGx/efMHHQVPIX/YLRc4bTsVb3ZGMAFk74jhEzhrLuqHHV5eP7f2fjyq2WKygijJitS7FuO8x4bhPiT8yWxSiz5sKqWR+iFw/HEB5K9LqZWDXujsLKGoNWS/T62aCN5eXeH7Fu1I0Mg+eDXo/u7hVif08bC0SJ1KEwJHXRgkhzIqZ1snQKqUv/6bzsrHqNt3QKqcoQEWrpFFJNjYqW+w23j0HLpzP140l08LuD0hFbVRILH6VTl6+k76nkb9I/SxuLTKWKNPgjwR+iao0Jlk4h1fzaxfXdQemI3RTLrZz7PqJWfWO2x8rQzfwzS16TKZFCCCGEEEIIkUbJlEghhBBCCCFE+vOJjTonR0bYhBBCCCGEECKNkhE2IYQQQgghRLpj+ITWRHgbGWETQgghhBBCiDRKRtiEEEIIIYQQ6Y/8cLYQQgghhBBCCEuSETYhhBBCCCFE+iOrRAohhBBCCCGEsCQZYRNCCCGEEEKkP7JKpBBCCCGEEEIIS5IRNiGEEEIIIUT6I6tECiGEEEIIIYSwJBlhE0IIIYQQQqQ/MsImhBBCCCGEEMKSpMMmhBBCCCGEEGmUTIlML2JeWjoDkQxDRKilU0hVCruMlk4h1QTFvrB0CqnKQZ3B0imkGmullaVTSFVKhcLSKaQaw8toS6eQqhQ2dpZOIdV8as9NuO7Tqccg52mWYZBl/YUQQgghhBBCWJCMsAkhhBBCCCHSH1l0RAghhBBCCCGEJckImxBCCCGEECL90cs1bEIIIYQQQgghLEhG2IQQQgghhBDpj0GuYRNCCCGEEEIIYUEywiaEEEIIIYRIf+QaNiGEEEIIIYQQliQjbEIIIYQQQoh0xyC/wyaEEEIIIYQQwpJkhE0IIYQQQgiR/sg1bEIIIYQQQgghLElG2IQQQgghhBDpj/wOmxBCCCGEEEIIS5IOmxBCCCGEEEKkUelySuTjx4+pW7cuuXPnRqFQEBsbi5ubG9OmTcPDwyNVHmPRokUADBgwINmYhQsXUrFiRUqXLo23tzdt2rShSJEiqfL4qU2VtwRWNduASo3e/yExu5ZDTFTcfnWxyqgr1I/bVljbonB0JnJuf4gMw6pOB1R5ioJSRezJvWjPHbFEGcC7awFQuH2Gdf3OYG0LBj0vd69E//RfyGCHdYNuKD2yY4iNQXvxONozBy1TyCsnTl9g/uoNxMZqyZvzcyYO7Ym9na1JzLodB9iw6xDWVlbk+twT7/5dcXK0Z+jEeTx84h8X5+sXQOmiBVg0cbi5y4hjMBjwnjyHvLlz0OXrrxLtP37yDPOX/UDsy1jy5cnJxFGDsbezQ6fTMWvRCv48fR6tTkfnti1o3ayBBSowVbVmJYb49MXKyopb1+/gM3gyEeERKY6ztrFmzPThFC1RCIVCwd8XrjJp5CxiomPMWkelGuXpO6onVtYa7ly/x+RhM4gIj0xRjJ2DHT5zviVHns9RKJXs23yANUt+MWv+SalWqxJDvftjZW3Freu3GT1oUpLPTXJx1jbWjJsx4tVzA39fuMaEETPM/twAVKlZicHefbCysuKf63cYM2RKkrW8K87D0431+1bR3Ks9oSHPzVlCnBN/XWD+qvXExsaSN1d2Jg7rnbhN276fDTsPYG1tRa7Ps+I9oLuxTZswh4dP/OLifJ8GULpYQRZNGmHuMgA4cfoi83/Y+Kp9/oyJQ3okrmXnQTbsOoy1lcZYS7/OODnaA7Bh92G2HThGdMxLCubNycQhPbCy0liiFABOnP2bBWu28TI2lnw5sjFhYBfsbTOYxKzf/Su/7P0VGysrcn6WBe/e7XBysDeJGTJ1Ca7OGRndu50500+kSs2KDPbui8ZKwz/X7zB2yJRE7drb4pRKJcMnDKRS9fKo1Sp+XLqeTWu2W6ASUBUohVW9jijUGvRP7xO9aVGicxulR3asm/UAGzvQ64nZshS9711sOo5A4RJ//qt0dkd37xrRP0wxdxnmJ4uOpG1ubm7s3LmTHTt2sHfvXr744gtmzpxp1hzOnj2LTqcDYMqUKWm2s4atA9ZNexG9cR5Ri4ehfxaAVc22JiHav38netko47/lPhjCQ3m570eIeI66dE0ULh5ELf2WqOU+aMrXRZk1d5qtBY0VNh1GEfvnbqK/H0Xs8W1Yt+gHgFWdjhheRhO15BuiV45BlbcYqnwlLFCIUUhoGGNmf8+8sUPYvXou2bK4MX+V6YnwmUvXWL1pNytmeLNl2XQqly3BhPkrAJg7dghblk1ny7LpjB/SAwd7O7z7d7VEKQDcvf+QbgNHcfjYH0nuD3kWypgpc5k/xYc9G1aSzdODed/9AMDmnft58MiX7WuXsWHlAn7etIMr12+ZM/1EMrlkZMqCMQzqMpL6FVvy+IEvw8b0e6+43oO7oFaraVLta5pU+xobG2t6Dupk1joyOjsxZt5IRvYYQ8vKHfB9+IR+o3ulOKb3t90IeBpIW68udK7Xi+Ydm1CkVCGz1vCmTC4ZmbZgHAO6fkvdCi14dN+Xb8b0f6+4PkO6olapaFS1DY2qtsXGxppegzqbuRJjjpMX+DC46ygaVmrF4we+DPXp+95xjVvW46ed3+Oexc2c6ZswtmlLmTduGLt/XGBs01auN4k5c+kqqzfuZMWssWz5fhaVy5ZkwrzvAZg7bhhbvp/Flu9nMX5IL2ObNqCbJUox1jJnOfPGDGb3qtlk83Bj/uqNJjFx7fP0UWz5bhqVyxRjwoKVABz54yzrdx5ixbRR7Fg+g5iYl6zZvt8SpQAQ8vwFYxb8wNxRfdm9bCrZPFyZ/+MWk5gzl2+yeut+Vkz+hs0Lx1O5VBEmLF5jErN6634uXPvHjJknLZNLRia9ej80qtSaxw+eMMQn6fY5ubiWHZuRPdfnNKvajjZ1utK+Z2sKlyho7lLAzhHr1gOJXjOdyJl90Yf4Yd2go2mMxgqbnuN5+dt2ouYN4eWRjdi0GwpA9JoZRM0bQtS8IcRsWYIhOoKYbd+bvw7x0aTbDtubypUrx+3bt7l06RItW7akcePGdOrUiQcPHgDQoUMHpkyZQrNmzahfvz5//GE8oRw5ciTbtm2Lu58vvvgi0X3//PPPtGzZkoYNG9KsWTPu3bvHjh07uHr1Kj4+Pty6dYsOHTpw+vRpAJYtW0b9+vVp1KgR06dPR6fT8fjxY5o2bcrw4cNp2LAhnTp1IjQ09OP/YQBV7qLofO9hCDF+a6k9dxh1kUrJxmu+bIwhIgzt+V8BUOcvg/bicdDrIToC7dVTqIt+aZbc35SSWlS5i2J45o/u9iUAdLfOE715oXGfZ060l38HgwF0OnT/XERVsJxZa0jo5PnLFPoiF9mzZgGgdcNa7D36JwZD/DdG12//S/kShfFwdQGgRqUyHDt9gdhYbVxMbKwW71nfMaJ3RzzcXMxbRAIbtu6hRaM61K5eOcn9J89coFCBfGT/LCsArZs1ZO+h3zAYDBw5fpKmDWqjVqtwcnSgbs2q7D541JzpJ1KpWjmuXrrOg38fAfDLj1tp2KLue8Wd/esiy+auxmAwoNfruXH1HzyzZTFfEUC5qmW4fukmj/71BWDrTzup27xmimPmjFnIwonfAZDZ3QUrKyvCw8LNWEFiX1Yrz5VL13lw7/XffAuNv6r3XnFnT11g6dxVcc/N9Su3yPqZeZ8bgIrVynH14g0evnr9bPhpGw2SeJ29Lc7VPTNe9arSs/VA8yWehJPn/6ZQvtxkf/Uab92oNnt//d20TfvnHuVLFolv074sy7G/zidu02YuYUTfzni4ZTZvEa+cvHDlVftsHLlo3bBmEu3zfdP2+csyHDt9kdhYLbuO/E6nFvVxcrRHqVQyZmBXGtWwzGcnwKmL1yicNwfZPd0BaFWvOvuOnzat5859yhcrgEdmZwBqVCzF8TN/xz03Z6/c5M8LV2lZr5rZ839TxWrluJbg/bDxp200aFHnveJq1q/Kjg170Ol0hD1/wYEdR2j0VeL33semzlcC/aM7GIKeAhB78gDqElVNYlT5SmAI9kN38zwAumtniF77xkCFSo1Nm8HE7FyF4XmQWXK3OL3efP8s6JPosMXGxnLw4EEKFy7M0KFDGTNmDLt27aJNmzYMHTo0Li48PJzt27czZ84cRo4cycuXL9953+Hh4Rw5coS1a9eyZ88eqlWrxrp162jatCmFCxdm8uTJJp2848ePc/ToUbZu3cr27dt58OABGzZsAODmzZt06dKFPXv24OjoyO7du1P/j5EEpZMLhrDguG1DWAgKG1uwzpA42NYBTYX6vDy4Nu4mhZNz4uMdnT9qzslJSS1KlywYwp9j1bgnNj2nYNNxNAql8aWue3wHddHKoFSBlTXqguVQ2Gc0dxlx/AKD4z7oAdxdnQmPjCIiMn4aRJH8eThz6RpP/AMB2HHoOLGxWkLDXsTFbDvwG64umajxZRnzJZ8E72F9aVC7erL7/QKC8HBzjdt2d81MeEQkEZGR+AcEmpyYubtmxj/Ash84Hp7uPH0SELft/yQAB0d77OztUhx38thp7t97CIBnNg869mzDwV2/mqeAV9yzuhGQIL+Ap4HYO9pjZ2+b4hidTseERd78cvQHzp+6xIO7j8xXQBKyZHXnqW/8dGC/ZJ6bt8X9+cZz06lXW/bvNP907yye7vglmNqc3OvsbXGB/kEM7joyrmNqKX4BwSZfGrm7uiRu0wrk5czFq/Ft2sFjidu0/UdxdXGmxpdlzZf8G/wCg+M6LpBc+5ybM5euJ6jlRFwtD3yfEhIaRu/RM2jeeyRLf96Kg71toscxF7/AENN6Mmcy1hMVHXdbkS9ycebyTZ68ant3HvmDWK2W0BfhBAQ/Y8byX5g+rAdKpeVPHz083ZJ5P9imOM79zX1PAywyQq3ImBlDaPznneF5EIoMdqbnNq6eGF6EYt2yPxkGzcGm50TjuUwC6rI10T8PQXf1L7PlLszD8u+4/1NAQABNmjShSZMmNG7cGIPBQPPmzXF0dKRo0aIA1KtXj4cPH/LihfFDoFWrVgAUKFAAV1dXbt1693Qre3t75syZw969e5kzZw6//fYbkZGJ50e/9tdff9GgQQMyZMiAWq2mRYsWnDp1CgAXFxcKFjQOtefNm5fnz810fYFCYRxRelMS3xZoSnmhvXUew7P4EzcUyjeOV1jum4aU1KJUocpbHO35X4le7k3s6YNYtxsBKjUvD/0MGMjQexo2bYahu3sFdNrE92cmBoMBhUKR6PaEH4aliuSnT/sWDJ4wl9b9RqNUKHBysEejib8Ede22ffT6uplZcv4Qer2eJMpFqVShT/S3MKBSWbaJUirffO0b6fW6944rWDQ/a3ctZ92qzRw7nPSU0Y9FqVAm+bbR6fTvFTNuwBRqF26CU0YHug0177TONymVSpORgdeSem7eFVeoaH7W717JulWbzP7cACiUihTVktI4SzIY9Ch4V5tWgD4dWzJ43Gxa9x0Z36apE7RpW/fSq11zs+ScHIM+mfZZ9Wb73JzBE+fTur8PSmV8+6zV6jh14QqzvQewcdFkwl5EsOiHzeYswYTeYCCpBtjkuSmUj95tGzN4yhLaDJmIQqHAycEOpULBiFnLGd69Da7OGc2YdfKM7+3Et+vfOD95W1yifQpF3KUuZpXcuU3CJetValT5SxF7+hBRC4YR++cebLqNBVX8+8aqSmNif91khoTTEL3BfP8sKF0uOgLx17AldPPmzURxBoMh7s2nUsV/E6HX61Gr1SgU8R+AsbGxiY5/+vQpHTp0oH379lSpUoXMmTNz48aNZPN6s6EA0GqNHQJra+u42xI+7semfx6MOmue+Md2cMYQFQ6xiS+sVxWqwMv9P5ncZngehMIhU4LjM2EIC/l4Cb9FSmoxvHiGPtAXve9dwDglUtG4J4pMbhAbw8vD6yHKeJG+pnITDCH+WIqHqwuXb96J2w4ICsHRwQ7bDDZxt0VERlG6aAGa1zOOXPkHhbD4p81xF4HfuPMvWp2e0kULmDf5/0MWDzeT69ICgoJwdLDHNoMNWdxdCQgKTrAvBHdX80+FGjCiJ9XrVAHA3sGOf67HPz/uWVwJffacqMhok2Oe+vpRtGShZOPqN63FmBnfMnnUbPZuM/8iN36+/hQqGf/6cPXIzPNnYUQn+Gb9bTHlq5bhzs17BPkHExUZxcEdv+LVwHS6jjkMHNGLGnVfPTf2dty6cTduX3LPzZPHfhQtWTjZuAZNazNu5ggmjpzJHjM+N/2/7Un1Osapw3YOdtxOUItbFleeJ/U6e+xvUktycZbk4ZaZyzdS0qYVpHk9L+BVm/bjxriFOm7c/hetTkfpYha4ligBD7ck2md7O2xt3qilSH6a160GvG6ft+DkYB836+H1IiUNvSqxbJ1lFrQAyOLqzJV/7sVtBwQ/w9HeFlub+HOTiMgoShfOR/Paxtemf/AzlqzbwWP/QB77BzJ7lfEavqBnz9Hr9cS8jGXCwM5mq6Hftz3+r/dNkQTtc8K4p77+uLnHf864uWfG/2kA5mYIDUTxeb64bYWTC4bIF/AywblNWAj6gEfoHxqvH9RdO4OiZX8ULh4YAh6j9MwJShW6u1fNnr/4+NLtCFtScuXKRWhoKJcvXwZg3759eHp6kjFjxrhtgCtXrhAWFka+fPnImDEjd+4YG+QjRxJPhbly5QrZs2enc+fOFClShCNHjph0AN/8JqZ8+fLs3buX6OhotFotW7dupXz58h+r5BTR3b2MKlteFM7Gefjq0jXR3jyXONDGDqWzO/pHphcTa2+eR12iGiiVYGOLunCFpI83g5TUortzCWUmN5RZcgKgzJ4fMGAIDURduiZW1VsaA+2cUJesjvbKn+YswUTFUkW5fOM2D3yN89Y37TlC9QqlTWICgp/RZfgkwiOMI7sr1m+nXvWKcd/8nrt8g3LFCyX5TXBaU7FsSf6+dpMHj4zXSW3cvg+vyhUAqP5lebbvPYRWqyPsRTj7jxzHq0oFs+e4aMZymnu1p7lXe9rU60qx0oXJnvMzAFp3as7RAycSHfPnsdPJxlWr/SWjpwyje6uBFumsAZw+fpbCJQvyWU7jtYPNOzbmxKE/UxxTs3F1ug/tDIDGSkPNRtU598cF8xXwysIZ39OkejuaVG9Hy3pdKF6qMNlzGf/mbTu34NcDxxMd88exv5KNq167Mj5Tv6Fry/5m7awBLJ65nBY1OtCiRge+rt+NoqUK87nJ6+f3RMecPH46RXGWVLFUMWOb9vhVm7b7MNUrmk7VDgh+Rpdh4+PbtHXbqOdVKUGbdp1yJQpbvE2rWKoIl2/e4YGv8ZrpTXt/pXqFUiYxAcHP6PLt5PhaftlJvWoVUCgU1KpclkPHTxMd8xKDwcDRk+colC+X2et4rUKJQly+dY8Hr6YAbt5/nOrlTBfdCgh5TtfRswh/Ne1zxcY91KtSjmL583D4h9lsXjiezQvH07JeNepULmvWzhrAkpkr+KpGR76q0ZF29btTzOT90CzZ901ycb8dOEGzrxuhUqlwcLSnXtNaHN2fuI3/2HT/XEKZ/QsUmY3XfmrK10V77YxpzM3zKJ3d4xZ9U+YqiAFD3JfOqtyF0d25Yt7E0wKD3nz/LCjdjrAlxcrKinnz5jFp0iSioqJwcnJi3rx5cfsfPXpEs2bGaWPz5s1DpVLRtm1bBg8eTKNGjShfvjyurq4m91mpUiV++eUX6tevj8FgoEyZMty+fRuAypUrM27cOGbMmBEXX716dW7cuEGLFi3QarV8+eWXtG/fHj8/PywmIoyYncuwbjUYhUqN/pk/MduXovTMhVXjHkQvGwUYl4E1hIfCG9NrtOcOo3R2J0PvGaBSEXv+V/QPkh9l/KhSUIsh/DnRG+Zg1aArCitrDNpYojfOA20ssb/vxLp5XzL0nQkoePnbFvRP7r3zYT8Wl0xOTPqmN0MnzSc2Vstnnu5MHd6Xa//cZdzcFWxZNp2cn3nSrXVjvh44BoPBQIlCXzC6f5e4+3jg64enu2Uuyk+Jqzf+Ydz0BWz9aQkumTIyefQQhvhMMdabNQvTxnwDGBcgeeT7lBad+hKr1dKyST3KlChq0dxDgp7hPXAS81dPR6NR8+i+LyP7jwegULECTJrnTXOv9m+N+3b8IBQKBZPmecfd78UzfzNp5Cyz1fEsOJRJQ6YzfflE1FYafO/7Mn7QVAoU/QLvOcNpX6t7sjEA8ycsZeSMofxy1Lii57H9v7Nh5Za3PeRHFxL0jFGDJrJo1Qw0Vhoe3n/Mt/3GAVC4WAGmzPehSfV2b40bMWEwCoWCKfN94u73wpm/mTDCvCsOhwQ9w2fQJOavmoZao+bRA19G958AQKFi+Zk415sWNTq8NS6tcMnkxKThfRg6cS6xWi2fZXFn6oj+XLt1l3Fzl7Hl+1nGNq1NU74e4I1Br6dE4fyMTrAS5APfp3i6u77lUczDJaMTk4b1YuikBa9qcWPq8D5c++ce4+atYMt304y1tGrM14PGvWqf8zG6X2cA2jSsRdiLcFr390avN1AgTw7G9rTcMvguGR2ZNKgLw6YtJVar4zMPV6YM7ca12/cZv+hHNi8cT85sHnT7qh7thk1Bb9BTsmBeRvWy7NL9yXn9fpi3aioajYZHDx4zqv9EwPi+mTB3NF/V6PjWuI0/buOzHFnZenQtGisNm9ds59ypi2avxRD+nJiNC43L86vU6IP9iP5lPspsebBu2Y+oeUMwvAgl6sepWLfoDVbWoI0l+sfpoDXODlNk9kRvwRlD4uNSGMw1L8/COnToQP/+/SlXznIrAn6IiPFt3x0kLELTxXK/efYxKOwyWjqFVFO0YBtLp5CqHNRJLBSUToXGJv6NsfRM88bF/+nZxXPLLZ1C6tIlvtwhvTK8TDvTX1NDqcrfWDqFVPNXB3dLp5Cq7GfvfHdQGhDh3dJsj2U3xXLXoH5SUyKFEEIIIYQQ4lPySU2JfJu1a9e+O0gIIYQQQgiRLhgs/Pto5iIjbEIIIYQQQgiRRv1nRtiEEEIIIYQQnxAL/z6aucgImxBCCCGEEEKkUTLCJoQQQgghhEh/ZIRNCCGEEEIIIYQlSYdNCCGEEEIIIdIomRIphBBCCCGESH8Msqy/EEIIIYQQQggLkhE2IYQQQgghRPoji44IIYQQQgghhLAkGWETQgghhBBCpDsGGWETQgghhBBCCGFJMsImhBBCCCGESH9khE0IIYQQQgghhCUpDAbDf6Nrms5Vyupl6RRSlQqFpVNINZ/aGygo9oWlU0g1l69vsHQKqWpL0TGWTiHVbFA/t3QKqaqpLqOlU0g1y/G1dAqp6llsuKVTSDWOaltLp5Cqduf7dM4Fmt7+dGoBOOX7m6VTSJEX/eub7bEcFu8z22O9SUbYhBBCCCGEECKNkmvYhBBCCCGEEOmPXMMmhBBCCCGEEMKSZIRNCCGEEEIIkf7ICJsQQgghhBBCCEuSETYhhBBCCCFEuvNfWexeRtiEEEIIIYQQIo2SDpsQQgghhBBCpFEyJVIIIYQQQgiR/siiI0IIIYQQQgghLElG2IQQQgghhBDpj4ywCSGEEEIIIYSwJBlhE0IIIYQQQqQ7BhlhE0IIIYQQQghhSTLCJoQQQgghhEh//iMjbP+ZDpu/vz8+Pj6sWLHioz+Wt7c3bdq0IUeOHIwcOZIlS5Z89Md8lwo1ytF7ZHesrK24c+Me04bNIjI88r1jpq6YQJB/MHN9FpozfRPla5Sj18juaKw13L1xjxnDZifK820xu65sI/BpYFzshu82cXj7r2atIaEKb+Q6PYl6UhIzecV4gvyDme+zyJzpJ1K1ZiWG+PTFysqKW9fv4DN4MhHhESmOs7axZsz04RQtUQiFQsHfF64yaeQsYqJjLFANGAwGvCfPIW/uHHT5+qtE+4+fPMP8ZT8Q+zKWfHlyMnHUYOzt7NDpdMxatII/T59Hq9PRuW0LWjdrYIEKjDxrFKfYqNYordWEXn/E6WEr0IZHmcTk7VKLvB1rYjAYCH8QwJlvVhITHIbGIQNl5/TEMU8WFEol/24+wY0leyxUiVEpr9J0HNEJjZWG+zfvs2j4AqLeqOe1QXOH8ODmfXYs3w6AUqmky5hulKxaEpVaxY7l2znw835zpm8iW43ilBrZCpW1hpAbD/lz2Epi36ilQOdafNGxBhgMvHgQwJ/DVxEdHBa3387TmQa7xrOz1mhinoWbuQJTFWuUp0+C9mpKEp8lycXYOdgxes5wsuf+HKVSwb7NB/l56QYLVWJUtWYlhvr0e9VW3cb7LW1aUnHWNtaMnf4tRV61aZcvXGXiyJkWadMq1ShP31E9sbLWcOf6PSYPm0HEG89NcjHWNlYMnzqEQsXzo1AouHrxBrNGzyMm+qXZ6wCwKl8e+x49UGg0aO/dI2zmTAyRprXY9+mDTbVq6F+8AED38CHPJ040iXGaOBF9cDAvFiwwW+5J+dTeNyJ1/WemRLq7u5ulswYwZcoUihQpwvPnz7lx44ZZHvNtMjo74T33W7x7jqdtlU48efCEPqN7vHfM131aU7RcEXOmnoiTsxOj5g5nTM/xtK/SmacPntJrdPcUx3yWOxsvQl/QrXavuH+W7KxlfJWrT8/xtKvSmScPntL7jXpSEvN1n9YUs/BzA5DJJSNTFoxhUJeR1K/YkscPfBk2pt97xfUe3AW1Wk2Tal/TpNrX2NhY03NQJ3OXAsDd+w/pNnAUh4/9keT+kGehjJkyl/lTfNizYSXZPD2Y990PAGzeuZ8Hj3zZvnYZG1Yu4OdNO7hy/ZY5049j7exAuXk9+b3HfPZWHk74wwCKj25tEpOpSA7y927A4cbj2e81khf/+lH0W2MHtci3LYl6Gsx+r5EcrDeGPB1r4lIqjyVKAcDR2ZGBswczvdc0+lbvjd9DPzqO7JwoLluebEz6ZQoV61cyub1Ou7p45szKgFr9GNZoCI26NiZvsXxmyt6UtbMDX87twW89F7CtynDCHwRQ6o3nxqVIDgr1rs/eJhPYUWMUYf/6UfLb+C8Pcn/1JfW2+mCXxdnc6Sfy+rNkVM9xtKnSCd8HT+k7umeKY3oO70rg00Da1+hK1/p9aN6xCYVLFbREKYCxrZq6YCwDu4ygXsWvePTAl2Fj+r9XXO/BXVCpVTSp1pYm1dq+atM6m7kS4999zLyRjOwxhpaVO+D78An9RvdKcUyXgR1Qq1R8XaMrX9foirWNNZ0GtDd7HQAKJyecRozg+dixBHfsiO7JE+x79kwUpylcmOcTJxLSvTsh3bsn6qzZtmmDVdGi5ko7WZ/a+8as9Gb8Z0GfbIdt+fLlNGvWjMaNGzNz5kwePXqEl5fXW48JDQ2lX79+1KtXjyZNmnDq1CkAfv75Z1q2bEnDhg1p1qwZ9+7dA8DLy4uZM2fStGlTmjZtyvXr1wHo0KEDp0+fZvLkyQQEBNCvn/FEdN68ebRq1Yo6derQoUMHgoKCPuJfIF7ZqqW58fctHv/rC8D2Nbuo3azGe8WUqFCM8tXLsnPtbrPknJyyVUtzM0GeO9bsolYStSQXU7hUIfQ6HYu2zeeHwyvoNLgDSqXl3gZlUlDPu2KKVyhG2epl2GHh5wagUrVyXL10nQf/PgLglx+30rBF3feKO/vXRZbNXY3BYECv13Pj6j94ZstiviIS2LB1Dy0a1aF29cpJ7j955gKFCuQj+2dZAWjdrCF7D/2GwWDgyPGTNG1QG7VahZOjA3VrVmX3waPmTD+OR9UiBF+6R/i//gDc+ekI2ZubdmKeXbnPnkrDiH0RhdJag61HpriRmgtj1nBx4noAMrhnRGWlJjYs6dEscyhRpSR3/r7N0/tPADiwdh9Vm1ZLFFe/Y0MObzjEn3tNO9zl61bg182H0ev0RDyP4Pfdv1OteeLjzSFr1SIE/f0vYa+em5trfiV3s4omMcFX7rP1y2+IfRGFylqDrYcz0a+emwzuGclepxSH2s00e+5JKVu1jMlnybY1O6mTqI1OPmbe2EUsmvgdAJndndFYaQgPSzyaZS6VqpXnSoK2asOPW2mUZJuWfNy5N9q061dvkTWbh/mKeKVc1TJcv3STR6/+7lt/2knd5jVTHHPx9N+sXrAmro5/rt4mS1Z38xbxinWZMsTevInO15hn5K5d2NQ0rQWNBk3evNi2bYvz6tU4TZiA0s0tfnfx4liXLUvkrl3mTD1Jn9r7RqS+T7LDduLECa5evcqWLVvYsWMH/v7+7N797pPZBQsW8Pnnn7N//35mzpzJ/PnzCQ8P58iRI6xdu5Y9e/ZQrVo11q1bF3eMra0tO3bsYODAgYwYMcLk/nx8fHBzc2PJkiU8ePCAe/fusWHDBg4ePEiWLFnYZaZGws3TjYAnAXHbgU8DsXe0x9beNkUxmd1dGDSxPxP6T0Gns+xXDG6ergQ8iZ/OmHQtyceo1CrO/X6B4e1GMqDFYMpWK02Lrk3NWYIJN09X/FNQT3IxLu4uDJrYj0n9p6K38HMD4OHpztMEryP/JwE4ONpjZ2+X4riTx05z/95DADyzedCxZxsO7rLMKKj3sL40qF092f1+AUF4uLnGbbu7ZiY8IpKIyEj8AwLxcMtsss8/wDxf0rzJNqsLkU9C4rYjn4Zg5WiL2j6DSZxBqyNr3VI0Pb8I13L5ubfxePw+nZ4Ki/pQ/+h0Ak7d4MXdJ2bL/02ZPTMT9DT+bxn0NAg7RzsyvFHP8rHLOLHz+JuHkzlLZoKexB8f/DQIF4/MieLMwc7ThYgnwXHbEa+eG00Sz83ndUrR6txC3Mt9wZ1Xz02UfyhHeywg7J6fWfNOjrun6zs/b94Vo9PpGbdwND//+gMXTl3i4d1H5ivgDVk83fF74h+37ZdMm/a2uD/faNM69WzLAQu0ae5ZTT/nA1793e0SPjdviTl9/BwP7z0GwCOrO226f8Wve46ZLf+ElG5u6ALjPxf1gYEo7e1R2MbXonRx4eWFC4SvWkVI167EXr9OxilT4vY59O/P88mTQW/5z85P7X1jTga9wWz/LOmT7LCdOnWKy5cv07x5c5o1a8bVq1e5c+fOO487e/YsTZo0AeCLL75g48aN2NvbM2fOHPbu3cucOXP47bffiEwwR7pVq1aAcbTN39+fkJCQJO87e/bsjBgxgs2bNzN9+nQuXbpkcj8fk1KpwJDE6yzhCX5yMQqFgvFLfFg4finBAUnXZk4KpRJDEokmrOVtMXvW72PBmMVER0UTHhbBpuVbqFz3y4+a89solUqS+sObPjdJxxifG28WpZHnBt5Sj1733nEFi+Zn7a7lrFu1mWOHk56SaGl6vR6FIvHtSqUKvcGAwmSnAZXKMk2uQqFI8u9tSKKT73vgPNsK9+bqnG1UXz+ShAWeGvAd2wr3xiqjPYWGNv+oOb+NQqF4Zzvw1uPffP0pFOgtdNKmUKb8uXl48Dy/FOnDpbnbqL1uBEm++CxMmYI2OiUxEwZOpV6RJjhmdKTrkI4fJ9kUMH42pqRNe3dcoaL5+XnXCtat2mSRNk2pUCb5OZ/wi9iUxOQvko/lOxax+Yft/HHk1MdI9d2Sa9MSvI/1fn6EjhyJ7t9/AYjcuBGVpyeqrFlxGjOGF0uWoE/mnM3cPrX3jYDdu3dTv359ateubTLQ89q9e/fo0KEDjRs3plu3bjx//vyt9/dJdth0Oh2dOnVi586d7Ny5k82bN9O7d+93HqdWq01OsO7evYuvry+tW7fmxYsXVKlShWbNmpm8YdTq+HVb9Ho9KpUqyfu+evUq3bp1Q6/XU6dOHWrWrJnkG+9j8PMNILO7S9x2Zg9Xwp6FER0V/c6YHPmy45k9CwPH9eHHQ8tp2qERXo2rMXLWMLPk/ib/RHlmTlTL22Jqt6hJrgK54u9QoUCr1Zol96T4+wbgkoJ6korJkS87WbJnof+4Pqw+9D1NOjSiRuNqjDDzczNgRE+2Hf2ZbUd/5qv2TXB1TzCqlMWV0GfPiYqMNjnmqa/fW+PqN63Fqs2LmDt5CcsX/GiWOv4fWTzcCAyK/8APCArC0cEe2ww2ZHF3JSAoOMG+ENxdLTOKE+kbTAaPTHHbGTyciXkWji4qftED+xzuZC4bfx3XvQ3HsM2WGauMdnhULUIG94wAaCNjeLDjFM5Fcpgr/UQCnwTi7B5/vZaLhwsvQl8QE5WyRRyCngTinOA95ezuTPBTy4x+hvsGY+se/9y8noqqTVCLQw533MrEPze3NxzHLltmrDOajvKkBX6+/mRO8N52TfLzJvmYclXLxLXfUZHRHN75K18UyWu+AoABI3qx/eg6th9dx1ftm+LmnmAUPZk27Ymv/1vjjG3aYuZOXsz3FmrT/Hz9yewR/7p39cjM86Sem7fE1GrixaINc1gydTk/LvrZfMm/QR8QgNIlPk9l5szow8IgOr4Wda5c2NSqZXqgQoHS2RmVpycO/frhvHIlGRo3xqZ6dRyHDzdX+ol8Cu8bi9EbzPcvhfz9/Zk3bx7r169nx44dbNy40WTgyGAw0KdPH3r06MGuXbsoUKAAy5cvf+t9fpIdtvLly7Nz504iIiLQarX069ePq1evvvO40qVLs3fvXsDYWevRowdXr14le/bsdO7cmSJFinDkyBF0uvhvzF7HHz58mNy5c+Pk5BS3T61Wx3UGzp49S9myZWnbti05cuTg2LFjJvfzMZ05fo5CJQuQLafxOptmHRrx+6GTKYq5dv46zcu0oXPtnnSu3ZMda3dzdNcxpg+fY5bc33T2+DkKliwYl2eTDo34441a3haT64ucdPumM0qlEisbK5p3bsLRXcfMWkNCxr97fK5Nk6gnuZhr56/zVZm2dK3di661e7Fz7W5+3XWMGWZ+bhbNWE5zr/Y092pPm3pdKVa6MNlzfgZA607NOXrgRKJj/jx2Otm4arW/ZPSUYXRvNZC92w6ar5D/Q8WyJfn72k0ePDJeU7Bx+z68KlcAoPqX5dm+9xBarY6wF+HsP3IcryoVLJLn0+NXyFwyD/Y5jdeb5O1YA99D501iMrhlpNLSAVg52wOQvXklnt98xMtn4XzeuDyFX42oKa3UfN6oHP5/XDNvEQlcOnGRL0p8QZYcngDUbV+fM4f+SvHxpw/9RY3WtVCqlNg52lG5URX+Opjy41PTk+NXcC2ZB8dXz03+DjV4eOiCSYytW0aqfdcf60zG5yZX80qE3npk8dUgk3Lm+DkKv/FZcuLQnymOqdGoGt2GGhcZ0lhpqNGwGuf/vGjGCmDRjO9p5tWOZl7taF2vi0lb1aZTi2TatL+SjateuzLeU76he6sB7LFgm3b6+FkKlyzIZ6/+7s07Nk703Lwt5staFRk2aSAD237Dwe1HzJv8G2LOnkVTsCCqrMY8bRs3JuZP01oMBgMOAwei9DBeL5ihSRO0d+8Se+UKQa1axS1EErVrF9G//UbYrFlmr+O1T+F9818QFhbG48ePE/0LCwsziTt58iTly5cnY8aM2NraUqdOHQ4cOBC3/9q1a9ja2lKlShUAevfuTbt27d762AqDuYZ5zGzp0qXs3bsXnU5H5cqV6dixI506deLo0eQv+g8LC8PHx4f79++jVqsZPXo0BQoUoH///vj7+2MwGChTpgy3b9/ml19+wcvLi2LFinHv3j0yZMjAtGnTyJkzJx06dKB///6ULFmSDh06oNFomD17Nv379yf61bc/BQoUQK/XM3v27BTVUynr2xdMeZcKXuXoNao7Go0a3wdPmDRoOlk/z8LI2d/QuXbPZGNehL4wuZ+uQzuR0dnpg5f1V/H/T+Up71WWnnF5PmXKoOl4fp6Fb2cPo1vtXsnGvAh9gbWNNYOnDKBQyYKoNSp+23OCFdNXfVAtH/oGKu9Vll6juqPWqHny4CmTX9UzYvYwuiao582YN5+bLkM74uTs9MHL+gfFvnh30FtUqVGRIT790GjUPLrvy8j+43keGkahYgWYNM+b5l7t3xq37+RmnDI64u8Xf33CxTN/M2nk+3+YXr6eOssae0+eQ55c2eny9VdcvfEP46YvYOtPxp/rOHHyDPO//5HYWC2fZc3CtDHf4OTogFarY/biFZw6e5FYrZaWTeol+bMA72NL0TH/97FZvIoZl/W3UhN+P4C/Bn2H/edulJ3TgwO1RgOQp2MN8nauhUGnJ8rvGedG/0jEo0A0jraUmdEVpy+yAfB4/zmuzN6a5JSklNqgfvv0j3cpVb00HUZ0Qq1R4/fwKfMHz8Ujuwf9ZgxkSL2BJrED5wzm4a0H8cv6q5R08elG8crFUWs0HFy3P27f/6upLuP/fWw2r2KUGtUKpUbNiwcBnBi0DIfP3ag0uzu7ansD8EXHGhToVBP9q+fmlPdPhD8KNLmfLr4/s75w7w/uyC3H94OOr+BVjj6jesR9lkwcNA3Pz7MwavZwOtXukWxMWOgL7B3t+Hb6UHJ9kROAEwd+Z8XsHz9oRsqz2A/7e1SpUZGhPv3QaDQ8uv+YEa/aqsLFCjBpng/NvNq9NW7/yS2J2rQLZ/5m0sj3XyjGUW377qC3qOhVjn6jeqK20uB735fxg6aS9XNPvOcMp32t7snGhIW+YPPva3HM6Ehggjr+PnuVWaPn/9/57M73/58LWJUrF7esv+7JE55PnYrK0xPH4cMJ6W6sxaZWLey+/hqUSnSBgYTNnIk+IMDkfuw6d0bp5PTBy/o3vf1hU5TT2vvmlO9vH1SPuYS2Tv4689S29svmLF68ONHt/fv3Z8CAAXHb33//PZGRkQwZMgSAzZs3c/nyZSZNmgTAvn372L59O66urty4cYNcuXIxZswYMmbMmOxjf7IdNnPw8vJizZo1ZMuW7aM/1od22NKaD+mwpTWf2hvoQztsaUlqddjSig/psKU1H9phS2s+pMOW1nxohy2t+dAOW1ryoR22tOZDOmxpzYd22NIa6bAlplyxM9FoGoCjoyOOjo5x29999x0xMTEMHjwYgE2bNnH16lUmvvpZiV27djFmzBh+/vlnihQpwvz58/Hz82P69OnJPvZ/5oezX/vxxx/Zvj3xN6lubm5m+502IYQQQgghRPrxZscsOR4eHpw7dy5uOzAwELcEPynh6upK9uzZKVLE+Pu5DRs2ZODAgYnuJ6H/XIetc+fOdO7cOVXu623TK4UQQgghhBAfj6WX209KxYoVWbRoESEhIWTIkIFDhw7FTYcEKFGiBCEhIdy8eZP8+fNz9OhRChUq9Nb7/M912IQQQgghhBDiY3B3d2fIkCF07NiR2NhYvvrqK4oWLUqPHj0YOHAgRYoUYcmSJfj4+BAVFYWHhwczZ779mlbpsAkhhBBCCCHSH8v/7nmSGjVqRKNGjUxuS3jpVbFixdiyZUuK7++TXNZfCCGEEEIIIT4FMsImhBBCCCGESHfS4jVsH4OMsAkhhBBCCCFEGiUjbEIIIYQQQoj0J41ew5baZIRNCCGEEEIIIdIoGWETQgghhBBCpDsGGWETQgghhBBCCGFJMsImhBBCCCGESH9khE0IIYQQQgghhCXJCJsQQgghhBAi3ZFr2IQQQgghhBBCWJSMsAkhhBBCCCHSn//ICJt02IRFGCydQCrSfmKthYM6g6VTSDVbio6xdAqp6qvLkyydQqrp4FnZ0imkqhDX/JZOIdUoUVg6hVSVUW1n6RRSjUahsnQKqWrK/cyWTiHVKAm0dAriEyZTIoUQQgghhBAijZIRNiGEEEIIIUS6I4uOCCGEEEIIIYSwKBlhE0IIIYQQQqQ7MsImhBBCCCGEEMKiZIRNCCGEEEIIke7ICJsQQgghhBBCCIuSETYhhBBCCCFE+mP4tH43MjkywiaEEEIIIYQQaZSMsAkhhBBCCCHSHbmGTQghhBBCCCGERckImxBCCCGEECLdMejlGjYhhBBCCCGEEBYkI2xCCCGEEEKIdEeuYRNCCCGEEEIIYVEywiaEEEIIIYRIdwz/kd9hkw5bEvz9/fHx8WHFihUffF8dOnSgf//+lCtXLhUy+/9VqFGO3iO7Y2VtxZ0b95g2bBaR4ZHvHTN1xQSC/IOZ67PQnOmbqFCjHL1GdkdjreHujXtMHzY7yVreFTN5xXiC/IOZ77PInOknUrFGefokyHVKEn/3lMRMe/XczLHgc1OpRnn6juqJlbWGO9fvMXnYDCLeyDO5GDsHO3zmfEuOPJ+jUCrZt/kAa5b8YqFKjDxrFKfYqNYordWEXn/E6WEr0IZHmcTk7VKLvB1rYjAYCH8QwJlvVhITHIbGIQNl5/TEMU8WFEol/24+wY0leyxUiZHBYMB78hzy5s5Bl6+/SrT/+MkzzF/2A7EvY8mXJycTRw3G3s4OnU7HrEUr+PP0ebQ6HZ3btqB1swYWqMBU/Xo1mDx5JNbW1ly5coMePYfx4kV4svGrV83n6tUbzJ33faJ9mzet4MkTfwYN9vmYKSfpU2vTPqXPm4o1ytN3VA80r9qrKcNmJtk+JxVj52CH95xvyZ7nc5RKBfs2H2Sthdu0T+m1VrB6CRp92xa1lYYnNx/yy4hlRL/RPr/Wbk5fnt58yNEVxjZYoVTQcmJX8pQrCMC13y6yc+rPZss9KZ/S+0akPpkSmQR3d/dU6aylFRmdnfCe+y3ePcfTtkonnjx4Qp/RPd475us+rSlarog5U08ko7MTo+YOx6fneNpV6cyTB0/pPbr7e8d83ac1xSxcC8T/3Uf1HEebKp3wffCUvqN7vndMuz5tKFauqDlTTySjsxNj5o1kZI8xtKzcAd+HT+g3uleKY3p/242Ap4G09epC53q9aN6xCUVKFbJEKQBYOztQbl5Pfu8xn72VhxP+MIDio1ubxGQqkoP8vRtwuPF49nuN5MW/fhT91tgRKvJtS6KeBrPfayQH640hT8eauJTKY4lSALh7/yHdBo7i8LE/ktwf8iyUMVPmMn+KD3s2rCSbpwfzvvsBgM079/PgkS/b1y5jw8oF/LxpB1eu3zJn+olkzuzMyhVzadW6J4UKV+Hffx8wdcroJGPz58/D4YObaNE86U7mN8P68GUly3yp9qm2aZ/K543PvBGM6jGW1pU78uThE/ol0T4nF9Pr264EPA2knVcXutTrTfOOTShcqqAlSonL9VN5rdk7O9BuVh9W95nLlBpDCH7kT6MRXyeKc8+dlf7rx1C8nun7u0zzKrjl8mRanW+YXu9b8pQrSPH65c2VfiKf0vtGfBzSYQOWL19Os2bNaNy4MTNnzuTRo0d4eXm99ZgXL17Qp08fGjRoQO/evWnatCmPHz/m5cuXDB8+nHr16tG9e3eePXsGwOnTp+nUqRPdunWjTp06DB8+nJcvX5qjPMpWLc2Nv2/x+F9fALav2UXtZjXeK6ZEhWKUr16WnWt3myXn5JSpWpqbCfLcsWYXtd6o5V0xxSsUo2z1MuywcC0AZauWMfm7b1uzkzqJnpu3xxifmzLsWLvLfIknoVzVMly/dJNHr/Lc+tNO6javmeKYOWMWsnDidwBkdnfBysqK8LDkR0s+No+qRQi+dI/wf/0BuPPTEbI3r2QS8+zKffZUGkbsiyiU1hpsPTIR88yY84Uxa7g4cT0AGdwzorJSExuW9Le/5rBh6x5aNKpD7eqVk9x/8swFChXIR/bPsgLQullD9h76DYPBwJHjJ2naoDZqtQonRwfq1qzK7oNHzZl+IrVqVeXcub+5c+dfAJZ9v4av2zZLMrZP786s+mE9W7YmHuGsWqUCdWpXZ/mKtR813+R8em3ap/N5U65qGW4kaK+2/bSLOkm0acnFzB2ziEUJ2jSNlYbwsAgzVmDqU3qt5a9cjIeX7xJ43w+AP34+TOkmXyaKq9yxNqc2HOXSvr9MblcqlVjZWqO20qC2UqO2UqONMc85WVI+pfeNuRn05vtnSf/5DtuJEye4evUqW7ZsYceOHfj7+7N797tf7EuWLCFnzpzs3buXfv368c8//wCwdq3xQ3///v34+Pjw8OHDuGMuXryIt7c3Bw4cICYmhnXr1n2cot7g5ulGwJOAuO3Ap4HYO9pja2+bopjM7i4MmtifCf2noNNZ9hXr5umK/5PAuO2ka0k+xsXdhUET+zGp/1T0Fq4FwN3T9Z3PzdtiMru7MGTiAMangefGPavpayjgVZ52CWt5R4xOp2PCIm9+OfoD509d4sHdR+Yr4A22WV2IfBIStx35NAQrR1vU9hlM4gxaHVnrlqLp+UW4lsvPvY3H4/fp9FRY1If6R6cTcOoGL+4+MVv+b/Ie1pcGtasnu98vIAgPN9e4bXfXzIRHRBIRGYl/QCAebplN9vkHBH3UfN/ls2yePHoc//d8/PgpTk6OODjYJ4odNNiHDRt2JLo9SxZ35s6dSIdO/dHpdB8z3WR9am3aJ/V5k9XN5O8ekFQt74jR6XSMX+TNuqM/cOHUJR5asE37lF5rGT1dePY0OG479GkwGRxtsXmjfd4y7gfO7/oz0fGntxwj6nkEk05/x+Qz3xN434+rv1746Hkn51N634iP4z/fYTt16hSXL1+mefPmNGvWjKtXr3Lnzp13Hvfnn3/SpEkTAIoUKUK+fPkAOHPmDPXq1QMgR44clChRIu6YMmXKkCtXLhQKBU2aNOGvv/5KfMcfgVKpwGBIfHvCBje5GIVCwfglPiwcv5TggJDEAWamVCpJKlHTWpKOMdbizaI0UgsYczWkoJ6kYhQKBROXjGHB+CVpoh6lQpnkayjhh0dKYsYNmELtwk1wyuhAt6GdPkaqKaJQKJJ8HRmS+DD0PXCebYV7c3XONv7H3n2HNXW9ARz/JkzZKstVR511r7oHOFER995W694b997bulpbtbWOOhD3HtWqde9VFQUFBERUQCDJ749oJDLEFhPg9376+Dy9uW9u3je5OcnJOffgtmEUKD5cBP1X/+VsK9YLcwcbig5p9kVz/i/UanX8tHWUShPUGo32+dDRYGJi3I+PpN4XKe14mZqa8tv6ZQwbNpHAwOBP3+ELyXhtWgb6vEmiDdCrJQUxE/tPo34xL+wcbOk2pNOXSTYFMtK5llT7nNKOpMfAFrwOjcC7XE/GV+qNtYMNbt81Su00UywjvW8MTaNWGOyfMf3fLzqiUqno3LkzXbt2BSAiIoLAwEB69eqV7P1MTEyS/BId/3ZTU1O9+7yn0Wj0tr+kwIBgvildRLft6OpExIsIoqOiPxmTp2BusufOxoAJvQHI4pQFpYkScwszZg6fZ5D84wsKCKZI6cLx8nRMUEtSMXkK5iZb7mz0i1eLiYkSCwtzZhmhFoDAgCC9590p0dcm8Zi8utemDwBZda+NOTOGzzVcEfHyLFomfp6OvEyklqRiKtYoz/3bDwgJCiUqMor9Ow7j3rCGQWuILzIglKxlPlxzlsk1C29fvEYV9VZ3m00eFyyd7Qk5px1hf7DxGOVmdcPcwZosJfLy8vYTooLCiYt8i9+Ov8jVsLzB60ipbK7OetelBYeEYGdrg1UmS7K5OBEcEhpvXxguTo6JHeaLmjhhGI0a1QXAztaG6zdu6/blyOFKWNgLIiNTNu20XNmS5M2bmzlzJgDg6uKEiYkJlpYWfN9reOonn4SM16ZlrM+bT7VpycVUqFGef+K1aQd3HMGtYXWD1hBfRjrXXjwNIU/pD+2zvWsW3oS/JiZe+5ycEvUrsHXiz6hiVahiozi79TilPCpw9EfjLAyVkd434sv4vx9hq1ixIj4+Prx584a4uDj69u3L9evXP3m/SpUq6aZO3rlzh3v37qFQKHS3q9VqAgICuHjxwxD7hQsXCAoKQq1Ws2PHDqpXN0zDfe74eYqWKULOvNprU5p29OTkgdMpirlx4SbNyrehS92edKnbkx3rfTmy85jRGgFtnt/o8mzS0ZM/E60lYcyNCzdpUb4t3ep+T7e63+Oz3pfDO48Z7YvN+1yLffS8nzhwKkUx1y/cpEn51nSu24POdXuwff1ODu88apTOGsDZ439TrMw35HqXZ7NOjRPUklxM7cZufDekCwBm5mbU9nTj/J/Gm6Ly7Pg1HMvkxyavCwAFOtUi4MAFvZhMzg5U+aE/5lm00/ByN6vCy9tPiHnxmq8aV6TYuxE1pbkpX3lWIOjPG4Yt4jNU/rYMV27cxu+J9vqITdv34F6tEgBuVSuyffcB4uJURLx6zd5Dx3GvXsngOU6cNJdy5etSrnxdqlTzpMK3ZcifPy8A3/fsyE7fAyk+1pmzF8j7dXnd8VatXs/mLTsN2lmDjNmmZZTPm4/bq6adGnPyE21a/JhajWvqZgmYmZtRy7OmUdu0jHSu3T55ldylCuCUxxWAqu3rcO3g+RTf3//6Q0o31C4yojQ1oXjtcjy69OnZVV9KRnrfGJpGY7h/xvR/P8Lm7u7O7du3adWqFSqVimrVqlG+/Kd/Be/bty+jR4/G09OTr776CkdHRywtLWnXrh337t3Dw8ODHDly6KZKAjg7OzNixAiCgoKoUqUKLVu2/JKl6YSHhjN9yBymrpqImZkpAX5PmTJwJoVLFGTU3GF0qdszyZi0Jjw0nBlDZjNl1QRMzUx56veMqQNnUqhEQUbOHUq3ut8nGZMWvQgNZ+qQ2UxfNUn3vE8eOIPCJQoyeu5wOtftkWRMWvMiNJwpg2cyc9VkTM3NCHgUwMSB0ylSohDe84bToc53ScYALJz0A6NmDeH3I9qVCY/tPcnGH/8wWj1vQyM4M3glVVcNRGluyutHwZwZuJwsJfLy7bwe7Kszhufn7nBj8Q5q/TEWjUpNVOALTnZbAMClSb9RflY3PI5ozz3/vee58+N+o9WTmOu37jJh5iK2rl1G1swOTB0zmMFjpxEbG0euHNmYMW4YoF2A5EnAM5p37kNsXBwtvTwoX9q4q5I+fx7Kdz2GsGnjKszNzXjwjx9dug0EoGyZEqxcqe3cpXUZrU3LSJ832vZqlrbtNTfD/9FTJg+cTuEShRgzbziddG1awhiAxZOWM3LWEH5716Yd33uSTT9uNVo9Gelcex0awYbhy+m2fAgmZqaE+AXy65Bl5Cqej7azvmd2g5HJ3n/blLW0nNwN78PzUavU3D11ncMrfQyUfUIZ6X0jvgyFJrF5feKTfHx8yJkzJ2XLluXp06d06NCBQ4cOaed/J+Ls2bMsXbpUtyjJ56qSI/lVK9MbJRnnDx3GkbEu8FUZeymkVDSYnMZOIVW1uDrF2CmkmkzZE1+tMr2q5FT400HphJqM9bUgI7VpZgrDXEphKKXNDD+1+ku5EPv800HpyKkA464EnFJ+ZWp/OiiV5L54yGCP9bH/+xG25Pzyyy9s3749we3Ozs4MGDCACRMmoFarUSqVTJ48OcnOmhBCCCGEEEL8G9JhS0aXLl3o0qVLkvu3bduW4mNVqFCBChWM84dZhRBCCCGEyGiMvXqjociQkBBCCCGEEEKkUTLCJoQQQgghhEh3/l9W4pARNiGEEEIIIYRIo2SETQghhBBCCJHuyDVsQgghhBBCCCGMSkbYhBBCCCGEEOmORiMjbEIIIYQQQgghjEg6bEIIIYQQQgiRRsmUSCGEEEIIIUS6o1EbOwPDkBE2IYQQQgghhEijZIRNCCGEEEIIke6oZdERIYQQQgghhBDGJCNsQgghhBBCiHRHlvUXQgghhBBCCGFUMsKWTgS+DTd2CqnKTGli7BRSTZTqrbFTSFUWSnNjp5BqNmZ6aewUUlXH7NWMnUKqiXp60tgppKrKJboYO4VUExT9wtgppCozpZmxU0g1SkXGGk24psg44wbBMRnr8ya90Kgz1nsiKRnnnSKEEEIIIYQQGYyMsAkhhBBCCCHSHY3G2BkYhoywCSGEEEIIIUQaJSNsQgghhBBCiHRHrmETQgghhBBCCGFUMsImhBBCCCGESHfU8nfYhBBCCCGEEEIYk4ywCSGEEEIIIdIdjYywCSGEEEIIIYQwJumwCSGEEEIIIUQaJVMihRBCCCGEEOmO/OFsIYQQQgghhBBGJSNsQgghhBBCiHRHlvUXQgghhBBCCGFUMsImhBBCCCGESHdkWX8hhBBCCCGEEEYlI2xf2ObNm7GysqJRo0aMGjWKb7/9lmbNmhkll5p1qjJ8bH/MLcy4feMeowdO5vXrNymOs7G1Yeai8XxdIA8KpZJtG31ZtWStESqBGrWrMGRsX8zNzblz8x7eg6byJpFakoqzsLRg/MwRFC9dFIVCwdWL15k8ajZvo98aoRpwr1ONEeMGYm5hzu0bdxkxcAKvXyWsJyVxK9fOJyjwOeNHzjBU+npq1qnCEO9+mFton/MxA6ck+tokFWdhacGEWSMpUbooCgVcuXiDSSNnGeW1Ketejk4jO2Nmbsaj249YMnwRUa+jEo0dOH8wfrcfsWPVdgCUSiVdx3WnTI0ymJiasGPVdvb9uteQ6SfQwKMWU6eOwsLCgmvXbtGj51BevXqdZPyanxZy/fot5i9YmWDfls2refo0iIGDxn7JlJOl0WjwnjqPAl/noWu7Fgn2Hz99joUrfiY2JpaC+fMyefQgbKytUalUzFmymlNnLxCnUtGlbXNaN21ohAq0qtSqSN/R32NuYca9m/8wdegs3ryOTFGMhaU5I6YPpmipIigUCq5fusnsMQt4Gx1jpGq03OtUY+T4QZibm3H75j2GDxifZJuWVNzleyd49jRIF7tyyS/s+GO3wWp4LyN9dr7Pc6h3P8wtzLhz8z5jkqknsTgbWxtmLBpHvvx5UCqVbN+0yyj1VHT/lu9Gd8fM3IwHtx4yZ9g8Ij963yQXs+PqHzx/FqKL3bRiM4e2HzFoDR/LKK+NIckqkSJVXLx4kZgY435wAmTJ6sDsxRPp23UYdSo244lfAMPH9/+suCGjexP4NBiPaq1oWqcD7bu2pHS5EoYtBMic1YHpi8YzoOtIPCq34IlfAEPH9fusuF6DumJiaoJXzbZ41WyLpaUFPQd2MXAlWlmyZmbOkin06jIE9wqNeeznz6jxg/5V3Pf9u1K+YhnDJJ6IzFkdmLFoAv27jaB+peY8eRTAsCRem6Tieg/uhqmJCZ412uBZQ/vafG+E18Yuix0D5g5i5vcz6OPWi8DHgXQalTCPnPlzMuX3aVRuUEXv9nrt65M9bw761+nLUM/BeHZrTIGSBQ2UfUKOjln4cfV8WrXuSdFi1Xn40I/p08YkGlu4cH4O7t9M82aJd2KGDe1N1SoVvmS6n/TPo8d0HzCag8f+THR/2Itwxk2bz8JpY9m18UdyZndlwfKfAdjisxe/JwFsX7+CjT8u4tfNO7h2844h09dxyGLP+AWjGdljHC2qdSDg8TP6jfk+xTFdB3TCxMSEtrW60rZWVywsLejSv4MxStHJkjUzc5dO4fvOg3Gr0JjHj5Ju05KKy5c/D+EvXuJRo6XunzE6axnps/N9njMXTaBft+HUq9ScJ4/8GTYu8XqSihv8rp6G1VvTrG5H2nZpQalyxQ1ah30We0bMH8aEnpPpXKMbzx4/o+fo7imOyZUvJxHhr+hRr5fun7E7axnltRFfRprvsJ09e5bOnTvTvXt36tWrx/Dhw4mJiWHr1q00atQIT09PRo0axZs32l8gKlWqxPjx4/H09KRNmzb4+/sne/y7d+/SrFkzvLy8mDJlCnXq1AFg1KhR9OrVCw8PD44cOcLly5dp2bIljRs3pnPnzvj5+bF//34GDRoEwMOHDylUqBAhIdpfa7p3786PP/7IkSNHWLx4MSdPngTg2LFjtGjRAjc3NzZt2vSFnrWEqrpV4urlGzx68ASA337eglcLj8+KmzxmDjMmLADA2cUJcwszXkW8MlAFH1SpWZFrl2/i91Cb48ZftuLZvP5nxZ0/c4kV89eg0WhQq9XcvH6HHDldDVdEPNXdKnH10nUePXgMwK9rNuPVosFnx1WsUo6atarw2y9bDJN4Iqq+f87fnT+///IHjRM7z5KJ+/uvi/ww/6cPr821O+TIlc1wRbxTunoZ7l+5x7NHTwHYt34PNZrUTBDXoFMjDm48wKnd+h2HivUrcXjLQdQqNW9evuGk70lqNkt4f0OpU6cG589f4f79hwCsWLmOdm2bJhrbu1cXfvp5A39s3ZVgX43qlahX141Vq9d/0Xw/ZePWXTT3rEddt2qJ7j997iJFixQkd64cALRu2ojdB46i0Wg4dPw0TRrWxdTUBHs7W+rXroHvfuN8WatY41tuXr7Nk4faz6qta3dQv1mdFMdcOnuFNYvW6d4vd67fwzWHcdqy96q7VebKpRu6tmr9mk00aZmw859cXNlvS6FSq/lj9y/sP7mVgcN7oVQa/itLRvrsBKhas5Je27shyTY66bgpY+Ywc8JCAJxcHDG3MOd1RNIj9V9C+RpluXPlLgEPAwDwWedLraa1UhxTtFxR1Co1i7bO58eDK+k0qINRzq/4MsprY2hqjcJg/4wpzXfYAC5duoS3tzf79u3j7du3rFq1ihUrVrB+/Xp8fX3JlCkTS5cuBSAsLIzSpUvj6+tLw4YNmTp1arLHHjVqFAMHDsTHx4dcuXKhUql0+xwcHNi7dy9Vq1ZlyJAhjBs3jp07d9KmTRuGDBlClSpVuHDhAhqNhjNnzpA1a1bOnTtHdHQ0Dx8+pHv37ri7uzNgwACqVdN+qYiJiWHLli2sXLmSBQsWfLkn7SPZsrvwLODD1JLAp8HY2tliY2P9WXEqlYp5y6ey9+Rmzp66wIP7foYp4KMcA59+nKMN1onUklTcqWNndV8Ssud0pXPPtuzbedgwBXwkWw5XngYE6rafPQ3Czs4WG1vrFMc5uzoxYfpIBn4/CpVKbbDcP5YtR2LnTyKvTTJxCV6b79uy1+eQYQqIxzG7IyHxpsuEPAvB2s6aTDaZ9OJWjV/BCZ/jCe+fzZGQpx/uH/oshKyujl8u4U/IlTM7T/yf6rb9/Z9hb2+Hra1NgtiBg8ayceOOBLdny+bC/PmT6di5n15baQzeQ/vQsK5bkvsDg0NwdXbSbbs4OfL6TSRvIiMJCn6Oq7Oj3r6g4JDEDvPFueRwJuhpsG47+NlzbOxssLaxSlHM2eN/8/iBtiPnmsOFtt+15PCuo4YrIBHZc7jyLAVtWnJxpqYm/HnsDB1b9qZlwy7UcK9M157tDFbDexnpsxO050j85/x92/txPZ+KU6lUzP1hCntObObcqfMGr8cpuxPBT5/rtp8/e46NnTVW8d43ycWYmCq58OdFRnYYw8DmQyhfoxxNu3oZtIaPZZTXRnwZ6aLDVr58efLly4dCocDLy4sffvgBNzc3MmfODEDr1q05c+YMABYWFjRp0gSApk2bcvbs2SSPGx4eTkBAADVq1ACgefPmevtLlNBOWXj06BF2dna6bQ8PDx4/foxGoyFv3rzcuXOHM2fO0LlzZ/7++2/Onj1LxYoVUSgS9sZr1aqFQqGgQIECvHjx4r89MZ9BqVSiSWSir0qt+uy4ob3HUq6QO/YO9vQf3jP1k/0EpVKRaI7qBLV8Oq5oicL8unM1v/20mWMHE59a9aUplUoSm4L9cccrqTgFCpasmsWUsXMIDjLOl873kjp/Er42n44rWqIwG3x/NNpro1Akcf6ksEOsUCr1J9crFKjVxutMJ/neTmHHy9TUlN/WL2PYsIkEBgZ/+g5GplarSaQJRqk0Qa3RfNQ+azAxMc7HYVLnWfz3f0piChcvyOodS9n88zb+PPTXl0k2hRRJtL0ft2nJxf2+bisTRs0gKjKKiIhXrP5hHfUa1koQ+6VlpM9OeP+5mPD2hPV8Om5Yn3F8W7gW9pnt6TesR2qnmiylIonPkHjnWHIxuzfsZcm4ZURHRfMm4g1bVv9BNY+qXzTnT8kor42haTQKg/0zpnSx6IiJiYnu/99P+4hPo9EQFxcHaBvN9x/EarVa776JHTexN/N7lpaWuuN8TKPRoFKpqFmzJqdOneLBgwdMnDiRTp06oVQqcXNL/Jff9/kk1plLbYNG9aJWPW1n1MbWmju37uv2uWRzJvzFS6Iio/Xu8zQgkJJliyUaV82tEndu3SM4MITIN1Hs2raPep6G+QDtP/J73OtV19Vy92b8WpySqCWIEmWKJRnXoEkdxs8aydTRc9i1bb8BqvhgyKg+1K5fEwBbWxtu37qn2+eqe871F7d46v+MUmWLJ4grUCgfX+XJydgpwwBwcnbExESJhYUFIwdN/OK1DBj5PbXqv3ttbKy5c+sf3b4kXxv/wGRfm4ZN6jJh9kgmj5pt8NfmvedPn1OwdCHddlbXrLwKf8XbqJQtfhLy9DlZXLLqtrO4ZCH0mWE71BMnDKNRo7oA2NnacP3Gbd2+HDlcCQt7QWRk4ouofKxc2ZLkzZubOXMmAODq4oSJiYn2GsNew1M/+f8om6uz3nVpwSEh2NnaYJXJkmwuTgSHhMbbF4aLk3FGP4MCgihW5hvdtpOrIy9fRBAdFZ3imDpe7oycPoQ5Yxeyf7vhR6MBhozuS534bdrNlLRpgZQuWyLRuGatGnHz+l1u37wLaD8z42LjvnwhZKzPToCBI3t91Ean4PPTP5CSSbTRVd0qcffmPYKD3tezn3qN3A1TzDtBT4MpUrqwbtvJ1ZGI8I/eN8nE1Glem39u/sODW9op4hjw/IovI7424stIFyNsFy5cICgoCLVazY4dOxg9ejRHjhwhPDwc0K7EWKGC9gL4qKgojhzRXouwbds2qlevnuRxbW1tyZUrF8ePa6cz+fr6JhqXL18+wsPDuXr1KgB79uwhe/bsODg4UKNGDTZu3Ej+/PnJnDkzZmZmHD16lMqVKwPaDpqxpg4tnLkCT7e2eLq1pUX9zpQuW5w8+XIB0K5Lcw7tTTiN68+jfyUZ18CrDgOGay90Nzc3o4FXHf46+bdBalkyayVN3dvT1L09rT26UrJcMXLn1ebYpnNzjuw7keA+p46dSTLOrW41vKcN47tW/Y3SIZg/8wca1GxFg5qtaFKvA6XLliBPvq8AaN+1JQf2JpzSdOLoX4nGXTx/lUol6uqO99svW9i1Y79BOmsAi2etxMutPV5u7Wnp0ZVSZYuR+93507ZLcw7vS+Q8O3YmyTi3utUYO30Y3Vr2M1pnDeDyiUsUKl2IbHmyA1C/QwPOHTiT4vufPXCGWq3roDRRYm1nTTXP6pzZn/L7p4aJk+ZSrnxdypWvS5VqnlT4tgz58+cF4PueHdnpeyDFxzpz9gJ5vy6vO96q1evZvGVnmuysAVT+tgxXbtzG74n2+pVN2/fgXq0SAG5VK7J99wHi4lREvHrN3kPHca9eySh5njn+N8XKfEOuvDkBaN7JixMH/kxxTLU6lRk2ZSD92w41WmcNYP6MZbrFQbzqtqd0uQ9tVYeurZJo004nGVeoSAGGju6LUqnEwtKCzt+1xXfHPoPUkpE+OwEWzVpBY7d2NHZrRwuPLpQqWzxe29simTY68bgGXrV1I4Tm5mZ4eNU2aD0A549foEiZIuTIq71G1bNjI07t/yvFMXkL5aHr0M4olUrMLc1p2sWLo77HDFkCkDFfG0P7f7mGLV2MsDk7OzNixAiCgoKoUqUKHTp0wMrKio4dOxIbG0vRokWZNGmSLn7fvn0sWLAAZ2dnZs2aleyxZ8+ezZgxY1i4cCGFChXSjarFZ25uzoIFC5gyZQpRUVHY29vrrj/7+uuv0Wg0fPvttwB8++233Lt3D2tr7VziypUrM3/+fGxtbVPr6fhXQkNeMHLARJaumYOZuRmPH/kzrM84AIqXKsL0BePxdGubbNz08fOZOs+bvSc3A3Bg91F+WbnB4LWEhbxgzIDJLFozEzMzM5488mdkv4kAFCtZhCkLxtLUvX2ycSMmDkShUDBlwYclyS+eu8KUUbMNXk9oSBjD+49j+c/zMDc3w+/hEwb38QageKlvmLVwIg1qtko2Lq0IC3nB6IGTWfLTLN35M6KvdkSmWMkiTFs4Fi+39snGjZw0CIVCwbSF+q/NpJGGfW1ehr5k8bBFjFwxGlMzUwIfP2PhoPnkL5GfvrMGMNhjQLL337t+D665s7Fo/xJMzczY/9tebpy9bqDsE3r+PJTvegxh08ZVmJub8eAfP7p0GwhA2TIlWLlS27lLz67fusuEmYvYunYZWTM7MHXMYAaPnUZsbBy5cmRjxjjtKHTrpo14EvCM5p37EBsXR0svD8qXNs6qfS9Cw5k8eCYzV03GzNwM/0cBTBw4jSIlCjF23gja1+meZAzAwPF9UCgUjJ03QnfMK39fZ/YYw10j/bHQkDCG9RvHil/ma9/fD58wqLd2RdISpb5h1qJJeNRomWzcgtnLmTJ7DAdPbcPU1JTdPgf4fd1WI9SScT47QdtGjxo4iSU/zcb8XZ7D+44HtG309IXjaOzWLtm4GeMXMHnuGHaf0C6cdnDPMdau+t2gdYSHhjN76FwmrRyHqZkZT/2eMmPQbAqWKMjwOUPoUa9XkjEAa+evZ+DUfvx0aBWmZqYc33WC3RuM+2dXMsprI74MhSa5OYFpwNmzZ1m6dCnr16dsRbJChQpx507Kl2deunQprVq1wtnZmQMHDuDr68uSJUv+bbpfzNeOxluq/UswUyY9VTW9iVIZ52+3fSkWSnNjp5BqimQy7mp5qW134CVjp5Bqop6eNHYKqapyiS7GTiHVBEUb7vpqQzBTmhk7hVSjNMDlFIaU0yKLsVNINf5vw4ydQqq69/yCsVNIkTPZDfe3jSs+3Wawx/pYuhhh+6+GDh3K/fv3E9zu7u5Orly56NatG6amptjZ2TFt2jQjZCiEEEIIIYQQCaX5DluFChV016elRGKja/PmzUv2Ps2aGa53LoQQQgghhPjvjH1tmaGki0VHhBBCCCGEEOL/kXTYhBBCCCGEECKNSvNTIoUQQgghhBDiY8b+g9aGIiNsQgghhBBCCJFGyQibEEIIIYQQIt1RGzsBA5ERNiGEEEIIIYRIJb6+vjRo0IC6devy22+/JRl37Ngx3N3dP3k8GWETQgghhBBCpDsa0t41bEFBQSxYsIBt27Zhbm5OmzZtqFChAvnz59eLCwkJYdasWSk6poywCSGEEEIIIUQyIiIi8Pf3T/AvIiJCL+706dNUrFgRBwcHrKysqFevHvv27UtwvLFjx9KvX78UPbaMsAkhhBBCCCHSHbXGcI+1du1ali5dmuD2fv360b9/f912cHAwTk5Oum1nZ2euXr2qd59169bxzTffULJkyRQ9tnTYhBBCCCGEECIZnTt3pmnTpglut7Oz09tWq9UoFB+mamo0Gr3tu3fvcuDAAX755RcCAwNT9NjSYRNCCCGEEEKkO2oDXsNmZ2eXoHOWGFdXV86fP6/bfv78Oc7Ozrrtffv28fz5c5o3b05sbCzBwcG0a9eODRs2JHlMuYZNCCGEEEIIIVJB5cqV+euvvwgLCyMqKooDBw5QvXp13f4BAwawf/9+fHx8WLVqFc7Ozsl21kA6bEIIIYQQQoh0SIPCYP9SysXFhcGDB9OpUyeaNGlCo0aNKFGiBD169ODatWv/qk6ZEimEEEIIIYQQqcTT0xNPT0+921avXp0gLmfOnBw5cuSTx5MOWzphaWJm7BRSlUqTcf42vZWJpbFTSFVKRdr7myb/VhOVg7FTSFVhToWNnUKqqVyii7FTSFWnr/5i7BRSTamibY2dgkhCtCrW2Cmkqm9NHY2dQqoJjo34dJBIdRnn22TyZEqkEEIIIYQQQqRRMsImhBBCCCGESHc+59qy9ExG2IQQQgghhBAijZIOmxBCCCGEEEKkUTIlUgghhBBCCJHuyKIjQgghhBBCCCGMSkbYhBBCCCGEEOmOjLAJIYQQQgghhDAqGWETQgghhBBCpDuyrL8QQgghhBBCCKOSETYhhBBCCCFEuqP+/xhgkxE2IYQQQgghhEirZIRNCCGEEEIIke6o5Ro2IYQQQgghhBDGJCNsQgghhBBCiHRHY+wEDERG2IQQQgghhBAijZIOG+Dv74+7u3uqHtPLywuAq1evMmfOnFQ99r9VvXYVth39lV2nNjN/9XSsbaz/VZxrdmeOXPbFIYu9IdJOVI3aVfA5toG9p/9g4Y8zkqwlqTgLSwumLRzHzuMb8T2xiWkLx2FhaWHIEhLkuePYb+w5vYUFn6gnuTjX7M4cu7LLqK9NRjrPctYqhdfB6TQ7MYeaK/tjZpMpQUyRLnVocmQmTQ7PoNaawVhmtdPbb509C63OL8Yis42h0k5UpVoV+OXgan478QuTV47HysbqX8VMXT2RQVP7GyLlZFWpVZENh37mj5O/MmPlJKwTyTWpGAtLc8bNH8nGI7+w6ehaxs0fiYWluaFL0KPRaBgzZS4/b/gj0f3HT5+jaafeNGrzHUPGTuP1mzcAqFQqZi5cgWfbHni06sam7bsNmXaSMlI7kJFqAahZpyq7j2/i4JltLPlpFjZJ1JNUnI2tDUvXzGbvyc3sO/UHPft3NmT6OoXdSjNo7yyGHZ5H+2UDsUikfS7dpCoD985k4J4Z9Nk6iRzF8+ntt8+WhTFnlmGV2dZQaScro51rhqA24D9jkg7bF+Lj4wPA/fv3CQ0NNXI2kDmrA1MXjWVQt9E0qtIKf78Ahozt89lxjVt6sNZnJS7ZnA2ZfoIcpy8az4CuI/Go3IInfgEMHdfvs+J6DeqKiakJXjXb4lWzLZaWFvQc2MXAlXzIc9qicQzsOooGlVvi7xfA0HF9PzvOq1UD1vusMvprk1HOM4sstlSd34OjPRexrfpwXvsFU3ZMa72YrMXzULRXA3Z7TWJHrdFEPAykzIgWuv1ft6iKx9axWGfLYuj09ThksWf0/OGM7TmR9tW78NTvGb3GfPfZMe16t6ZkheKGTD1RDlnsGb9gNCN7jKNFtQ4EPH5GvzHfpzim64BOmJiY0LZWV9rW6oqFpQVd+ncwRikA/PPoMd0HjObgsT8T3R/2Ipxx0+azcNpYdm38kZzZXVmw/GcAtvjsxe9JANvXr2Djj4v4dfMOrt28Y8j0E8hI7UBGqgUgS1YHZi+eSN+uw6hTsRlP/AIYPj7hDzDJxQ0Z3ZvAp8F4VGtF0zodaN+1JaXLlTBoHdZZbGk553vW917A3FpDCXsSjMfItnoxjvmy0WBMO9Z0msmiBqM5vGQ7nVYM1u0v06wavTZPwN7VuO3zexntXBOpK8122M6ePUvnzp3p3r079erVY/jw4cTExLB161YaNWqEp6cno0aN4s27XxkrVarE+PHj8fT0pE2bNvj7+yd7/Js3b9K0aVOaNm3KsmXLdLeHhITQp08fmjVrRvPmzTl9+jQAS5YsYezYsXTs2BF3d3eWL18OwO3bt2nVqhXNmjWjbdu2PHr0CIBChQoRERHB4sWLOXLkCMuXL6ddu3acOnUK0P6aWrduXYKCglL7qUtU5ZoVuH7pFo8fPgFg49ptNGxe/7PinFwccfeoQc/WAwySc1Kq1KzItcs38Xuf4y9b8UykluTizp+5xIr5a9BoNKjVam5ev0OOnK6GK0Ivzwpcj5fn779spVGi9SQd5+TiSC2PGvQw8muTkc6zHDWKE3LlIREPte/R2+sO83XTynoxodcesbXqMGJfRWFiYYaVaxaiX7wGIJOLA7nrleVA+9kGz/1j5WuU4/aVO/g/DABgx7qd1Gla67NiSlUqybdu5dmx3tdwiSehYo1vuXn5Nk8eatv5rWt3UL9ZnRTHXDp7hTWL1une/3eu38M1h3He/wAbt+6iuWc96rpVS3T/6XMXKVqkILlz5QCgddNG7D5wFI1Gw6Hjp2nSsC6mpibY29lSv3YNfPcfMWT6CWSkdiAj1QJQ1a0SVy/f4NEDbZ6//bwFrxYenxU3ecwcZkxYAICzixPmFma8inhloAq0ClQrwZOrDwh9FAjAmV8PUtqril6MKiaWrSNX8+p5OAD+1x5g4+SAiZkJts6ZKVq3HD91mmHQvJOT0c41Q1ErFAb7Z0xptsMGcOnSJby9vdm3bx9v375l1apVrFixgvXr1+Pr60umTJlYunQpAGFhYZQuXRpfX18aNmzI1KlTkz32yJEjGTZsGNu3bydnzpy626dNm0bz5s3Ztm0by5cvZ/z48bx+rf0CdufOHX766Se2bNnCqlWriIiIYO3atXTt2pVt27bRqlUrLl++rDuWnZ0dAwYMwN3dnd69e9O8eXPdyNv58+f56quvcHFxSeVnLXHZsrsQ+PRD5zDoaTC2djYJhtGTi3seFMKgbqPwe9eAG8vHOQamsJb4caeOneXRg8cAZM/pSueebdm387BhCviIa3YXnj0N1m0n9dokF/c8KIQBXUfqajKWjHSeWWfPypunH0bH3zwLw9zOKsG0SE2ciq/qlaXV+cW4VCjE/U3HAYgKCudIj0VEPAg0aN6Jcc7uRNDT57rt58+eY2NnozflMbmYrC5ZGTi5L1P6TUetMvbEEHDJ4UxQvPdC8Ltc40+LTC7m7PG/efxA25FzzeFC2+9acnjXUcMV8BHvoX1oWNctyf2BwSG4Ojvptl2cHHn9JpI3kZEEBT/H1dlRb19QcMgXzfdTMlI7kJFqAW2ezwI+/ly0TTAt8lNxKpWKecunsvfkZs6eusCD+36GKeAdh+xZefnsQ/v88lkYlnZWetMiX/iHcPvoJd12o7EduXXoAqpYFa+CX7C+1wJCHhq/fX4vo51rInWl6Q5b+fLlyZcvHwqFAi8vL3744Qfc3NzInDkzAK1bt+bMmTMAWFhY0KRJEwCaNm3K2bNnkzxuWFgYwcHBVKmi/TWmWbNmun2nT59m8eLFeHl50aNHD+Li4njyRHviV6hQAXNzc7JmzYqDgwOvXr2iRo0aTJkyhTFjxmBra4unp2eSj+vh4cHp06eJjIxk+/bteo/7pSmUCjSahGvpqNWqfxVnTMoU5piSuKIlCvPrztX89tNmjh1MfDrSl6ZUKiFF9aQszpgy0nmmUCoSfb41iXRYHu+/wO/Fe3N5/jbq/jYSjPxL3MeSPHfi1ZJUjEKhYOIyb5ZM/IHQ4LAvmmdKKRSJnz+qePWkJKZw8YKs3rGUzT9v489Df32ZZFOBWq1O9JRSKk1QazQo9HZqMDEx7kd7RmsHMkotoH2fJ/q+SOTz5lNxQ3uPpVwhd+wd7Ok/vGfqJ5uMpN7fif2gZJbJgvbLBuKYx4U/Rq0yRHr/SkY710TqStPL+puYmOj+//3Ulfg0Gg1xcXGAtnF5/6GlVqv17vuxj9/o8WPVajVr167FwcEBgODgYLJmzcqhQ4ewsLBIcIz69etTunRpjh49yi+//MKxY8eSHN2zsrKievXq7N+/nzNnzjBhwoQUPhP/Tr8RPXGrp51iY21rzb1b/+j2OWdz4uWLl0RFRuvd55l/ECXKFPtknKH1H/k97vWqA2Bja83dm/d1+1yyORGeSI5PA/Rr+TiuQZM6jJ81kqmj57Br234DVPFB/5E9cfvMep4FBFKiTNFPxhlaRjrP4nsdEIpT6a9121aumXn74jVxUW91t9nmcSGTkz3Bf98F4N7G41Sa2Q0LB2vevpsamRYEBQRTpHRh3bajqyMRLyKIjor+ZEyegrnJljsb/Sb0BiCLUxZMTJRYWJgza/g8wxURT1BAEMXKfKPbdnJ15GWCepKPqePlzsjpQ5gzdiH7tx8yXPL/QjZXZ73r0oJDQrCztcEqkyXZXJwIDgmNty8MFyfHxA7zRWWkdiAj1QIwaFQvatWrAWg/b+7civ9545zE52cgJcsWSzSumlsl7ty6R3BgCJFvoti1bR/1PPWnWH9p4U9DyVU6v27bzjULkeGviY3XPoN2JK7zT8N5fj+AlW2mEPc21qB5fkpGO9eMQZb1TwMuXLhAUFAQarWaHTt2MHr0aI4cOUJ4eDgAmzdvpkKFCgBERUVx5Ih23v62bduoXr16ksfNnDkz2bNn59ixYwDs2rVLt69ixYps2LAB0C4Y4unpSVRUVJLHGjRoENeuXaNNmzYMHDiQmzdv6u03MTHRdSoBmjdvzoIFC6hWrZpeB/BLWDp7Fc1rdaR5rY60a9CdEmWL8VXeXAC07tyMI/tOJrjP6eNnUxRnaEtmraSpe3uaurentUdXSpYrRu53Obbp3Jwj+04kuM+pY2eSjHOrWw3vacP4rlV/g3fWAJbMWkUz9w40c+9AG49uenlqn/PE6jmbojhDy0jnWXxPj1/DqUx+7PJqpy0X7liLxwcu6sVYOTtQc3k/3QqQ+ZpVIfzOkzTVWQM4d/w8Rct8Q8682mugmnT05M8Dp1MUc+PCTVqUb0u3ut/Tre73+Kz35fDOY0brrAGcOf43xcp8Q6682unszTt5ceLAnymOqVanMsOmDKR/26FpvrMGUPnbMly5cRu/J9rrCzdt34N7tUoAuFWtyPbdB4iLUxHx6jV7Dx3HvXolg+eYkdqBjFQLwMKZK/B0a4unW1ta1O9M6bLFyZNPm2e7Ls05tPd4gvv8efSvJOMaeNVhwHDtAj7m5mY08KrDXyf/NlA1WndPXuWrUgXImkd77WnF9rW5efC8Xoy5tSU9N47jxr6/2dB/SZrrrEHGO9fEl5OmR9icnZ0ZMWIEQUFBVKlShQ4dOmBlZUXHjh2JjY2laNGiTJo0SRe/b98+FixYgLOzM7NmzUr22HPmzGH06NEsXLiQUqVK6W4fO3asbvESgNmzZ2Njk/Ry3L169cLb25tly5ZhZmbGxIkT9faXKFGCpUuXMnfuXIYNG0bZsmVRKBQ0b97885+Q/yAs5AVjB05h4U8zMDUz5YlfAGP6aZ+7oiULM3m+N81rdUw2Lq0IC3nBmAGTWbRmJmZmZjx55M/IfhMBKFayCFMWjKWpe/tk40ZMHIhCoWDKgrG64148d4Upowy/QERYyAu8B0xh4ZqZmJmZ8uRRAKPe5Vm0ZBGmLPCmmXuHZOPSiox0nkWHRvDnkFW4rRqA0syUV37BnBi4gqwl8lJl7nfsrOtN0Lk7XFnsg8cf3qhVaqICX3C420Jjp55AeGg4M4bMZsqqCZiamfLU7xlTB86kUImCjJw7lG51v08yJi16ERrO5MEzmblqMmbmZvg/CmDiwGkUKVGIsfNG0L5O9yRjAAaO74NCoWDsvBG6Y175+zqzxywwVkkJXL91lwkzF7F17TKyZnZg6pjBDB47jdjYOHLlyMaMccMA7QIkTwKe0bxzH2Lj4mjp5UH50oZdse9jGakdyEi1AISGvGDkgIksXTMHM3MzHj/yZ1ifcQAUL1WE6QvG4+nWNtm46ePnM3WeN3tPbgbgwO6j/LJyg0HreBMawZbhK+iwfBCmZqaE+gWxacgP5CiejxazerCowWgqd65H5hxOFK1XjqL1yunuu7rdNCLD09aPapDxzjVDMf5V1Yah0CQ2ETYNOHv2LEuXLmX9+vUpii9UqBB37hh3KeNP0Wg03L17l5EjR7Jjx47Pum9RlwpfJikjUWkyzltMQdq6Xum/Uqax66/+i2GmBYydQqpawzNjp5BqojVp79fu/+L01V+MnUKqKVW07aeDhFFEqzLW+6aFTSFjp5BqdkU9MHYKqepGUNJrQaQlm7K1N9hjtX72m8Ee62NpeoTtvxo6dCj3799PcLu7uzsDBw40eD5r167lxx9/ZNGiRQZ/bCGEEEIIITISdcb5jTlZabbDVqFCBd31aSmR2OjavHnGu8YiMV26dKFLly7GTkMIIYQQQgiRTqTZDpsQQgghhBBCJEWdwS5LSUqaXiVSCCGEEEIIIf6fyQibEEIIIYQQIt1JkysnfgEywiaEEEIIIYQQaZSMsAkhhBBCCCHSnf+XVSJlhE0IIYQQQggh0igZYRNCCCGEEEKkO2pjJ2AgMsImhBBCCCGEEGmUjLAJIYQQQggh0h1ZJVIIIYQQQgghhFFJh00IIYQQQggh0iiZEimEEEIIIYRId2RZfyGEEEIIIYQQRiUjbEIIIYQQQoh05/9lWX/psKUT5wYVNnYKqUulMnYGqca8xzhjp5CqNDHRxk4h1dSoOMjYKaQqJRln7kdQ9Atjp5CqShVta+wUUs3lG78bO4VUpX4ZbOwUUk/UK2NnkKqq1Z1q7BRSzbmeuY2dgsjApMMmhBBCCCGESHf+X0bY5Bo2IYQQQgghhEijZIRNCCGEEEIIke5oMs6VAsmSETYhhBBCCCGESKNkhE0IIYQQQgiR7sg1bEIIIYQQQgghjEpG2IQQQgghhBDpjoywCSGEEEIIIYQwKhlhE0IIIYQQQqQ7GmMnYCAywiaEEEIIIYQQaZSMsAkhhBBCCCHSHbX8HTYhhBBCCCGEEMYkHTYhhBBCCCGESKNkSqQQQgghhBAi3ZFl/YUQQgghhBBCGJWMsAkhhBBCCCHSnf+XETbpsP2fMPm6JOY1W4KJKergJ7zd8xPEROv2mxargum39XTbCgsrFLaZiVw6GCIjtLfZZsGy83iifhoLUa8NXsN7JvlLYe7WCkzNUAc95u2uHyEmSrfftHhVTCt46LYVlplQ2GYhcvEAePOuFrssWHaZSNTqMUatBeD4X3+zcOU6YmPjKPh1biaPHICNtZVezG9bd/H7tt1YWJiTL3dOxg7uhb2dLS8jXjF53nLu3H9IJksLmjSoTfvmjYxUCZw4c5GFP20gNjaWAvlyM3lor4S1bN/LRp992lq+yoF3/++wt7NhyKR5PH4aqIsLeBZMuZLfsGTKSEOXoVO5VkV6j/oOMwsz/rn1gGlD5xD5OjJFMda21oyZN5zcX3+FUqlgz5b9/PrDRiNVApVqVaDXqO8wtzDn/q0HzEiklpTETF89iZCgUOaPXWzI9BPlXqcaI8cPwtzcjNs37zF8wHhev3rzWXGX753g2dMgXezKJb+w44/dBqvhveq1qzDIuzfm5ubcvXmfcYOn8eZ1wlo+Feea3ZkNe36imXsHwsNeGrIEPRqNBu+p8yjwdR66tmuRYP/x0+dYuOJnYmNiKZg/L5NHD8LG2hqVSsWcJas5dfYCcSoVXdo2p3XThkaoQOvEucss+mULMbFxFMybi0mDumNjlUkvZsPOg/zuewhLC3Py5sqGd59O2NvaAFC9TV9cHLPoYrs096ChW2WD1hDfiQvXWfTrTmLi4iiYOweT+rRLWM+eY/y+9wSW5mbkzeGKd49W2Nta8+pNFBN++I2HAUFoNBoa16xAt6Z1jFQJVKlVkT6je2JuYcb9mw+YOnQWbz5qr5KKsbA0Z/j0wRQtVRiFQsH1S7eYM2YBb6NjjFQNmBQsjXmddtrvNoF+vN2xAt5G6cUoXHJh0bAbWFqBWk3MzlWonz6ETNZYePZAmS0Pmpho4i4eI+7sPiNVIr6ENDkl0t/fn0KFCjF+/Hi922/dukWhQoXYtm1bqj3W06dPqVevHl5eXrx+nfQX98jISGbNmkXdunVp0KABDRs2ZMuWLbr9o0aNombNmnh5eeHp6UnTpk3Zs2dPovu9vLzw8PDg119/TbU6kpXJFouG3xG9bQlRq0ahDn+u7fDEE3f9FNFrxmv//TIJzZuXxBxYr+usmRargmWHMShtMxsm56RY2WLh2YPoPxYRtXw46vBgzN1b64XEXfuT6B+9tf/WjEfz+iUx+9fpOmumxati2WksSrssiT2CQYWFv2TcjMUsnDKaXb8tJ2c2VxasXKsXc+7iVdZs2MqPC6awdc0iqlUsx8Q5ywCYteRHrDJZ4rNuKRtWzOHPMxc4dvpvY5RCWHgE4+b+wIIJQ/H9ZRE5szmz8McNejHnLl9nzSYfVs8Zzx8r51Dt2zJMWrASgPkThvLHyjn8sXIOEwd/j62NNd79uxujFAAcstjjPX8Eo3tOoE31zgT4PaPPmJ4pjuk5vBvPnz2nQ61udGvQm2advChW9htjlKLL07vnRNpW78xTv6f0HtPjs2Pa9W5NiQrFDZl6krJkzczcpVP4vvNg3Co05vEjf0aNH/RZcfny5yH8xUs8arTU/TNGZy1zVgemLhrLoG6jaVSlFf5+AQwZ2+ez4xq39GCtz0pcsjkbMv0E/nn0mO4DRnPw2J+J7g97Ec64afNZOG0suzb+SM7srixY/jMAW3z24vckgO3rV7Dxx0X8unkH127eMWT6H/J8GcG4BT8y37s/vqtnkdPViYU/b9aLOXflFmu27Gb1jJFsWTqFauVKMmmxtpaH/s+wt7Fmy9Ipun/G7KyFvXzFuKW/Mn/4d/guGU9Ol6ws/HWnXsy5a3dZs/0Qqyf2Z8u80VQrU5RJK34HYNnGXbhkdWD7Qm82zBrO5v0nuXLngTFKwSGLPeMWjGJUj3G0rNaRgMdP6Tvm+xTHdB3QEVMTE9rV6ka7Wt2wsLSgc/8OxihFy8oWi6Z9iP59HlGLBqF+EaztvMVnZo5l57HEntxJ9A8jiT22FYsWAwAw9+iCJiaaqMWDiV7ljUnBUpgULGOEQgxPY8B/xpQmO2wADg4OnDx5EpVKpbttz549ZMmSul+yz507R7FixfDx8cHGxibJuP79+/PmzRt8fX3Zs2cPP//8M+vWrePYsWO6mAEDBuDj44Ovry+LFy9mxowZnD59OsF+Hx8f1q9fz7x58/jnn39StZ7EmOQrhurZAzQvtL8ix106guk3lZKMN6vYEM2bCOIuHwNAYeOAScEyRG+a88Vz/RSTfMVRPX34oZYLhzEtlvQHoFnlRtpaLh4B3tVSqCzRG2YbJN9POX3uEkULFyB3ruwAtG7iwe6Dx9FoPjQNN+78Q8WyJXF1dgSgdvVKHDt9jtjYWG7e/QfPem6YmJhgZmZG9UrlOHjslHFquXCFogW/JnfObNpaPOuy+/BJvVpu3n1AxTLFcXXKCkCtqt9y7MwFYmPjdDGxsXF4z17GyD5ddDUbw7c1ynPryh38HwYAsG2dD/Wa1kpxzILxS1gyeTkAji5ZMDM343VEwhETQ/i2Rjm9PLev20ndBLUkH1O6Ukkqun2Lz3pfwyWejOpulbly6QaPHjwGYP2aTTRpmXAkJrm4st+WQqVW88fuX9h/cisDh/dCqTT8x2LlmhW4fukWjx8+AWDj2m00bF7/s+KcXBxx96hBz9YDDJd4EjZu3UVzz3rUdauW6P7T5y5StEhBcufKAUDrpo3YfeAoGo2GQ8dP06RhXUxNTbC3s6V+7Rr47j9iyPR1/rp4nWIF85E7hysArRq6s+foX/pt2v2HVCxdFNd3o2i1qpTj+NnLxMbGceXmPZQmSjoPn0bzPt6s2LADlcp4E7j+unKbYvlzkzu7tkPfql419pz8W7+eB4+pWKIQrlm1P87WqliS4+evExsbx8huLRjauSkAIS8iiImNSzA6ZygVapTn5uXbPHnXXm1d60P9ZrVTHHPp7BXWLFqHRqNBrVZz9/o9suVwMWwR8ZjkL4kq4B80YdpZJnHnDmBaslqCGE1YEKp7lwBQ3T5P9KYF2n3Z8xJ3+QRoNKBSobpzCZOiFQ1bhPii0myHzdramiJFivD33x9GC06dOkXlytov57/++istW7akUaNGNG3alAcPtL/yuLu7s3DhQlq0aEHDhg25fv06AB07duTs2bOAdgTP3d2dW7dusXDhQk6ePJlgNC++ixcvcu/ePcaNG4eFhQUAzs7OTJ48Wbf9sVy5ctGpUyc2bNiQ6H5HR0fy5s3L/fv3P/OZ+XxK2yxoIsJ025qIMBSWVmBumTA4kw1m39Yn5vCHvDWvw3m7bQmasKCE8QamtMuKJiJUt/2hlkQ+NDLZYFahATEHP4xkal6H8/aPRbpG0dgCg0P0OiUuTo68fhPJm8gP0yBKfFOQsxev8jQwGIAdew4RGxtH+MtXFC9SEN/9R4mNiyMyMoqDx0/zPPSFwesACAwOxdU5q27bxSkrryOj9GopXqQA5y5d52nQcwB27D+mrSXilS5m294jOGXNQq2q3xou+US4ZHci+Gmwbvv5s+fY2NlgZWOV4hiVSs2ExWP49fDPXPzrMo//eWK4AuJxzu78yVqSi3F0ycrAyf2Y1G+aUb9wxpc9hyvPAj68j589DcLOzhYbW+sUx5mamvDnsTN0bNmblg27UMO9Ml17fvSrtgFky+5CYLxpmUFPg7G1s8HaxjrFcc+DQhjUbRR+D4xzjsXnPbQPDeu6Jblf2+456bY/tHuRBAU/T9AmBgWHfNF8kxL4PEzXEQNwccyibdOiPlxOULzQ15y7cpOnQdocfQ6eIDYujvBXr4lTq6lYqijLpwzj59ljOH3hGht8Dxq8jvcCQ17g6uig23bJ6sDryGj9egrk4dz1uzwN1n5n8DlyRlvP6zcoFApMTUwYvWgtzQZPo1zRAuTJbpxOjksO/fYq+F17ZR2/fU4m5uzx8zx+4A+Aaw4X2nzXgsO7jhks/48p7bOieRn/u02o9ruNxYfvNsqs2dC8Dse8SS8se83AsstYFEoTAFT+9zEtVR2UJmBugWnRCihsHQxdhlGoFYb7Z0xptsMG4OHhwf79+wG4evUqhQoVwszMjNevX3Po0CHWr1/Prl27qFmzJr/99pvufg4ODvzxxx+0adOGlStXJnn8IkWKMGDAANzd3Zk8eXKScVeuXKFUqVKYmZnp3V66dGkqVUp6pKpgwYK6juTHbt++zePHjylatGiS9081iiTOMk3CL15mpWoSd+8imvDnXzipf0mhINGB6cRqKeNO3N0LabcWQK1RJ/ryxP+Vv2zJovTu0oaB3tNp1WMISqUSeztbzMxMGd63GwqFgpbdBzHAezqVypfCzMw4l6ZqNGoUJCxGr5biRejdqSWDJsyldZ9RKBUK7G1tMDP9kPP6rbv5vn0zg+ScHKVSqffL83vqeB2WlMRMGjAdj+Je2DnY0W1wpy+T7CcolQoSSfOjWhKPUSgUTFw2lsUTfyA0OCxhgJEolIpEn/uPO5TJxf2+bisTRs0gKjKKiIhXrP5hHfUa1koQ+6UllaNarfpXcWmdWp1Uu2eCWqNBobdTg4mJcb6qqDUaEmnS9Nu0YoXo1a4Jg6Yups2ACSgUSuxtrTEzNaVF/ZqM7t0RK0sL7Gys6di0PkdOXzBgBfrUGg2JFaRXzzf56dXSg0GzV9FmxCwUSgX2NlaYmZroYmYM7MyJn2cR8foNK7bsNUTqCSgVykTbq/jv/5TEFC5ekFU7lrDl5+38eeivL5FqyiiUJPrdRh2vPTMxwaRAaeLOHyJ6xWhiz+zDouNoMDElZt860GjI1GcWlu2Go/rnKqjSV7sgkpemFx15P1qmVqvZu3cvHh4e7NmzBxsbG+bNm8fu3bt59OgRJ0+epEiRIrr7VaumHUYuUKAABw4cSPW81q1bx9atW4mNjSVfvnwsXbo0yVhLyw+jWIsXL2bt2rWo1WosLS2ZPHkyOXPmTPX8PqaOCMM0+9e6bYVtZjRRryE24cW1JkUq6I1IpTXql6H6tdi9r+VtgliTbyoQs3+9IdP7bNlcnLh2865uOzgkFDtbG6wyfThv3kRGUr5UMZo3qgtA0PNQlvz0G/Z2tgQGhzC0dxfs7WwBWLV+M1/lyGbYIt5xdXbk6q0PI8bBIWHY2Vp/VEsU5Up8QzMPdwCCQsJY+ssm7O2005Fv3XtInEpFuZLGudYrvsCAIL4p/aFdcXJ1IuJFBNHxfo1OLqZCjfL8c/sBIUGhREVGc9DnMG4Nqhu0hg95Buvl6ZhoLYnH5CmYm+y5szFgQm8AsjhlQWmixNzCjJnD5xmuCGDI6L7UqV8TAFtbG27fvKfb55rNmfAXL4mK1L9I/6l/IKXLlkg0rlmrRty8fpfb796DCoWCuHjTc7+kfiN64lZP+1llbWvNvVsfpsc7Z3Pi5YuXREVG693nmX8QJcoU+2RcWpfN1VnvurTgkBBdu5fNxYngkNB4+8JwcTLO1OhsTlm4dufD6xIc8gI7G2usLD/MrHkTGUW54oVpVq8GoG3Tlq3fir2tNb6HT1EoXy4K5v0K0H4dN43X8TG0bI6ZuXbvkW47OPQldjZW+vVERVOuaAGa1dbOZgoKDWfZ77uwt7Hm1KWbFMidHecsDlhlssCjajkOnrls4Cq0AgOCKFomftvryMtE2ufkYup4uTNi+mDmjl3E/u2HDJd8ItQvQzDNmV+3rbDNgiZS/7uNJuIF6ucBqP21n7Oq2+dRNOmFIosLxEQTc+BXiNJOuzer3jTNzCT60tLGnI8vL02PsFlbW1O4cGEuXLjAmTNndNMhnz17RuvWrXn16hXVq1enadOmer86vp+mqPjoJ7z3MXFxn/eBXLx4ca5evaq7nq5Tp074+PgwYcIEXr5MehWuO3fu8PXXHzoX8a9x27JlCw0aNPisPP4t1cNrmOT4GkVm7dQF09LuxL2bA63H0gplZhfUAV9+mua/pXpwDZMc+T/UUqYWcXcvJgx8X4v/vYT70pDK5Utz5eYd/J48BWCTz17cq1bQiwkOCaPrQG9ev9GufrVq/WYa1KqGQqFgk89elv6kHV0OCXvBtl0HaVC7hmGLeKdy2ZJcvXUPP/9nAGz2PYhb5fJ6McGhL+g6dKKultW/bcPDvYruvXr+6k0qlC6W4L1rDOeOn6dYmSLkzKu9zqZpR09OHDiV4phanjXpPqQzAGbmZtRqVJMLpxJ53xnAuePnKfpRnicPnE5RzI0LN2lWvg1d6vakS92e7Fjvy5GdxwzeWQOYP2OZbnEQr7rtKV2uBHnyab8Md+jaigN7jya4z4mjp5OMK1SkAENH90WpVGoXHfiuLb47DLOy2tLZq2heqyPNa3WkXYPulChbjK/y5gKgdedmHNl3MsF9Th8/m6K4tK7yt2W4cuM2fk+01xZt2r4H92ra2SpuVSuyffcB4uJURLx6zd5Dx3GvnvRMli+pUpniXL39D37vptRu2XMEt4ql9WKCw8LpNnIGr9/9ULB6ky8eNSqiUCi47+fPsvXbUanURL+NYaPvIepVr5DgcQylUqkiXL37CL930wS3HDiJW3n9RYSCw17SbfyiD/Vs3Y9H1XIoFAoOnL7Eis170Wg0xMTGsv/0RSoUL2jwOgDOHv+bYmW+Ide79qpZp8YJ2ufkYqrWqczQKQMY0HaY0TtrAKr7VzDJVQBFFu31kqbf1iHutv4CYqp7l1BmdkaZPS8AytxFQKNB8yIY0/J1PyzAZm2PaVl34q4mvuiPSJ/S9AgbaKdFzps3j2LFimH6btqUlZUVuXPnpkuXLkRHR7N48WJcXV2TPU7mzJm5f/8+FStW5NChz3tzli1blvz58zNlyhRGjRqFpaUl0dHRnDx5MskL1B89esSGDRuYP3/+Zz3WFxH5ire7f8SiaT8UJqaow4N567sKpWsezBt0I3qN9vo9ZWYXNG/CIS1Pr4mM4K3vKixaDNDW8iKYtz4rUGbLi3nD74j+0RsAZWZXNK9fpu1agKyZHZg6aiCDx88kNjaOXDlcmeE9mOu37zFh9lK2rllE3q9y0r1dc9p+PwyNRkPp4kXwHqxd6apHhxaMnrqAJp37odFo6Nu9HcWLFDBSLfZMGd6bIZPnExsXR65sLkwf2Y8bd/5hwvwV/LFyDnlzZad7mya06++NRq2mdLHCjIm3EqRfwDOyuzgl8yiG8yI0nKlDZjN91STMzEwJ8HvK5IEzKFyiIKPnDqdz3R5JxgAsnvwDI2YO4dfDawA4se8km37capRawkPDmT5kDlNXTdTlOWXgTAqXKMioucPoUrdnkjFpVWhIGMP6jWPFL/MxMzfj8cMnDOo9BoASpb5h1qJJeNRomWzcgtnLmTJ7DAdPbcPU1JTdPgf4fZ3hX6OwkBeMHTiFhT/NwNTMlCd+AYzpNwmAoiULM3m+N81rdUw2Lq27fusuE2YuYuvaZdp2b8xgBo+d9q7dy8aMccMA7QIkTwKe0bxzH2Lj4mjp5UH50iU+cfQvI6uDHVMGf8fQ6Uu1bZqrM9OG9eTG3YdMXLyGLUunkDdnNrq3akj7wZNQqzWUKVqQ0b07AtCrXRNmLF9P8z7exKlU1Klanub1jPODGkBWe1um9O3A0Lk/vavHkWn9O3Hjvh8Tl29gy7zR5M3hQvemdWg/ai5qjYYyhb9m9HctARjapSlTV26k2eDpANSqUJL2DWsapZYXoeFMGTyTmasmY2puRsCjACYOnE6REoXwnjecDnW+SzIGYOD43igUCrznDdcd88rf15kzZqFR6uFNBG+3Lcei7RDtd5uwIN5uXYoyez7Mm/Qi+ocRaF6/JHrDHMwbfYfC3AJNXBzRv8+FuFhiT2zHokV/MvWbCwoFMUc2ow748ovapQXGXr3RUBSaxCbEG5m/vz+dOnXiyJEjvHnzhsqVK7NixQoqVarEqFGjKFasGIcPHyYoSPu3QMqXL8+9e/f4/fffcXd3Z926deTMmZOzZ8+ydOlS1q9fz9WrVxk1ahQWFhbUqlWLbdu2ceTIEbZt28a5c+eYOTP5LyZv377lhx9+4MgR7WpV0dHR1KhRg549e+Ls7MyoUaM4c+YM9vb2KBQKTExM+O677/Dw0P49sFGjRvHtt9/SrNm/uzbnzYzO/+p+aVYGmltt3mOcsVNIVZqY9DW9Kjk1Kg4ydgqpSpnYBTXp1JOotHtt6b9ha2b16aB04vKN342dQqpSvwz+dFB6EfXq0zHpSLW6U42dQqo52t14q0x+CdZTNn86KA2Ykdtwf45htJ/xLhlKkx02kZB02NIu6bClXdJhS7ukw5Z2SYctDZMOW5olHTbjmJa7vcEey9vvt08HfSFpfkqkoezZsyfJFSV9fHwMnI0QQgghhBBCSIdNp0GDBgZbBEQIIYQQQgjx38gqkUIIIYQQQgghjEo6bEIIIYQQQgiRRsmUSCGEEEIIIUS68/+ycqKMsAkhhBBCCCFEGiUjbEIIIYQQQoh0RxYdEUIIIYQQQghhVDLCJoQQQgghhEh31ApjZ2AYMsImhBBCCCGEEGmUjLAJIYQQQggh0h31/8k6kTLCJoQQQgghhBBplIywCSGEEEIIIdKd/4/xNRlhE0IIIYQQQog0S0bYhBBCCCGEEOnO/8vfYZMOWzqhCX9l7BRSlzrjDGKrXwQaO4VUpbC0NnYKqeZF7Gtjp5CqHEwzzmtjpjQzdgoiCeqXwcZOIVUp7Z2NnUKqiXt01dgppKpI1Vtjp5Bq1C8jjZ2CyMCkwyaEEEIIIYRId2SVSCGEEEIIIYQQn8XX15cGDRpQt25dfvvttwT7Dx06hJeXF40bN6ZPnz68fPky2eNJh00IIYQQQgiR7mgM+C+lgoKCWLBgARs2bGDHjh1s2rSJ+/fv6/a/fv2aiRMnsmrVKnbu3EmhQoVYsmRJsseUDpsQQgghhBBCpILTp09TsWJFHBwcsLKyol69euzbt0+3PzY2lgkTJuDi4gJAoUKFePbsWbLHlGvYhBBCCCGEECIZERERREREJLjdzs4OOzs73XZwcDBOTk66bWdnZ65e/bBgUObMmalTpw4A0dHRrFq1io4dOyb72NJhE0IIIYQQQqQ7hlzWf+3atSxdujTB7f369aN///4fclKrUSgUum2NRqO3/d6rV6/o27cvhQsXpmnTpsk+tnTYhBBCCCGEECIZnTt3TrRjFX90DcDV1ZXz58/rtp8/f46zs/6fFwkODqZ79+5UrFiRMWPGfPKxpcMmhBBCCCGESHcMuaz/x1Mfk1K5cmWWLFlCWFgYmTJl4sCBA0yZMkW3X6VS0atXLzw8POjTp0+KHls6bEIIIYQQQgiRClxcXBg8eDCdOnUiNjaWFi1aUKJECXr06MGAAQMIDAzk5s2bqFQq9u/fD0CxYsWYNm1akseUDpsQQgghhBAi3Umrfzbb09MTT09PvdtWr14NQPHixbl9+/ZnHU+W9RdCCCGEEEKINEpG2IQQQgghhBDpjiFXiTQmGWETQgghhBBCiDRKRtiEEEIIIYQQ6Y4mzV7FlrpkhE0IIYQQQggh0qh0N8J29+5dPD09Wbx4MfXq1fus+3p5eeHj4/OvHvevv/5i2bJlPH/+HLVaTZEiRRgzZgyurq74+/tTv359vv76awCio6MpU6YMQ4cOxdHRUW+/QqEgNjYWZ2dnZsyYgaur67/K53OZFC6Lef32KEzNUD/zI/qPZfA2Si9G6foVFo2/A0sr0Kh5u20F6oAHWHYYjiLrhzyVWZxRPbhJ9NoZBsn9YyaFy2LeoAMKk3e1bFmaeC1NemhrUat5u3W5tpaOw1E4ZvsQl9kZ1YMbRP9inFoATpy/yqJ124mJjaNgnhxM6t8ZG6tMejEbdh3h991HsbQwI2/ObHh/3w57W2u9mMEzluOUxZ4x37czZPp6Tpy9xMKfNxEbG0eBvLmYPLgHNtZWejG/+exn486DWJibke+rHHj37YK9nQ0AG30Psm3fMaLfxvBNgbxMHtwDc3MzY5SiU6N2FYaM7Yu5uTl3bt7De9BU3rx+k+I4C0sLxs8cQfHSRVEoFFy9eJ3Jo2bzNvqtQeuoXKsifUb3wMzCjPs3HzBt6GwiX0emKMba1hrveSPInf8rlEoFe7bsZ/2y3w2af2Jq1qnK8LH9Mbcw4/aNe4weOJnXibw2ScXZ2Nowc9F4vi6QB4VSybaNvqxastYIlUD12lUY5N0bc3Nz7t68z7jB0xI9zz4V55rdmQ17fqKZewfCw14asgSdE+cus+iXLdo2LW8uJg3qnrBN23mQ330PYWlhTt5c2fDu0wl7W207UL1NX1wcs+hiuzT3oKFbZYPWEJ9Go8F76jwKfJ2Hru1aJNh//PQ5Fq74mdiYWArmz8vk0YOwsbZGpVIxZ8lqTp29QJxKRZe2zWndtKERKvjgxLUHLPE5SUycigI5nJjYoS42mSz0Yo5cvsfyXadRKBXYW1kyvn1dcjk5ALDp+GW2n77G25g4inzlwsQOdTE3M95Xyeq1KzPIuw9m5mbcvXmf8YOn8eajdi0lca7Znfltz480d+9otPeNyTflsPDsjMLUDNXTR0T/vgiiP/puky03Fi16ocik/W4TvWkp6if/AGA9/Tc04aG62Jgj24g7f8yQJRiFXMOWRm3dupX69euzadOmz77vv+2snT9/nuHDhzNs2DD279/PwYMHqVChAn379tXFODs74+Pjg4+PD/v27cPR0ZEBAwYk2L9jxw52795NoUKFmD179r/K57NZ22HRsh/R6+cQObc/6rAgLDw66seYmWPZfQIxx3cQtXgYMYe3YNlmEADRv84hatFQohYN5e3W5WiiInm7Y5Vhcv+YtR0WrfsTvW42kXP6oQ4LxKJBIrX0mEDMse1ELRyqraXdYACi188hasEQohYM4e2WH9BEv+HtdiPVAoS9fMW4xWuZP6oXvsunkNPViYXrtunFnLt6mzXb9rF6yhC2LBxPtbLFmLRsvV7Mmm37uHjzniFTTyAsPIJx81axYNwgfH+aS05XZxau0X+fnrt8gzWbfVk9czR/LJ9BtfIlmbToRwAO/fk3G3wOsHrGaHasmsXbtzGs277XGKXoZM7qwPRF4xnQdSQelVvwxC+AoeP6fVZcr0FdMTE1watmW7xqtsXS0oKeA7sYtA6HLPaMXTCS0T3G07paJ54+fkrfMT1THPP9iG4EP3tOe/eudPXoRbNOXhQr+41Ba/hYlqwOzF48kb5dh1GnYjOe+AUwfHz/z4obMro3gU+D8ajWiqZ1OtC+a0tKlyth2ELQnj9TF41lULfRNKrSCn+/AIaMTfjHVD8V17ilB2t9VuKSzdmQ6esJexnBuAU/Mt+7P76rZ2nbtJ8368Wcu3KLNVt2s3rGSLYsnUK1ciWZtPhnAB76P8PexpotS6fo/hmzs/bPo8d0HzCag8f+THR/2Itwxk2bz8JpY9m18UdyZndlwXJtLVt89uL3JIDt61ew8cdF/Lp5B9du3jFk+vq5vopkwvp9zO3ZGJ+J3cjpaM+iHSf1YqJjYhnzyx7m9WzM5jGdqF78a2ZtPgLA4Uv32HjsEisHtGDruC68jY3j1yMXjFEKoH0/THn3fvCs0hp/v6cMHtv3s+Mat/TgF58VRn3fKGzssGw/iKg1M3gzrRfq0EAsPLvoB5lZkKnPFGIObyVy9kBi9m/EstMw7f2dc0DkayJnD9D9+3/orP0/SVcdttjYWHx9fRk0aBA3btzg8ePHAJw9exZPT0+aNGnCxIkT6dhR+wW+Y8eO9OvXj3r16nHr1i0KFSoEQHh4OH379sXDwwMvLy/++uuvZB/3hx9+oHfv3pQqVUp3W/v27WnQoAExMTEJ4hUKBf379+fevXtJ/p2FChUqcO+eYb5gmxYohfrJfTShzwCIPbMP09LV9GJMCpRCExqI6s5FAFQ3/yb6t3n6BzIxxbJVf976rkHzMhRjMC1YCvWTe2hC3tXy1z5MS1fXizEpWApNaBCq2+9quXGO6F/n6h/IxBTLNgN4u9N4tQD8dekmxfLnJnd2FwBa1a/BnuNn0Wg+zMm++c9jKpYsgqtjZgBqVSrD8b+vEhsbB8Df1+5w6uINWtavYfgC4jl98RpFC+Ujdw7taGzrRrXZfeSUfi33HlGxdDFcnbICUKtqeY6dvURsbBw7D52kc/MG2NvZoFQqGTegG561qhqllveq1KzItcs38Xv4BICNv2zFs3n9z4o7f+YSK+avQaPRoFaruXn9DjlyGmZk/b0KNcpz6/JtnjwMAGDb2p3Ua1Y7xTHzxy1hyeTlADi6ZMXM3IzXEQlHfwypqlslrl6+waMH2uf8t5+34NXC47PiJo+Zw4wJCwBwdnHC3MKMVxGvDFTBB5VrVuD6pVs8fn/+rN1Gw0TOs+TinFwccfeoQc/WAxLcz5D+unidYgU/tAOtGrqz5+hf+u3A/YdULF0U13ejaLWqlOP42cvExsZx5eY9lCZKOg+fRvM+3qzYsAOVyni/oW/cuovmnvWo61Yt0f2nz12kaJGC5M6VA4DWTRux+8BRNBoNh46fpknDupiammBvZ0v92jXw3X/EkOnr+euWH0Vzu5LbWftZ0rJ6Sfb+fUvvtVGrNaCB19Ha7zZRb2OweDeC5nv2Bh1rl8XeOhNKpQLvtrVpWMF4P9xUrlmBG/HeD5vWbqNh84Qzr5KLe/+++b71QMMlngiTwmVQP76H5vlTAGL/3INZuZp6MaaFS6MOeYbq5nkA4q6dJfrnWdr75y2CRq0m08BZWI1cgnn9NqBIV1/x/zU1GoP9M6Z09WoeP36c7NmzkzdvXmrXrs2mTZuIjY1lxIgRzJkzhx07dmBqqj80X6hQIfbv30+RIkV0ty1atIivvvqKvXv3Mnv2bBYuXJjs416+fJny5csnuL179+6Ym5sneh9zc3Ny587NgwcPEuyLjY1l//79eh3AL0nhkBXNyxDdtuZlKApLa7D4MEVF6ZQdzetwLFr0IVP/2Vh+NwGUJnrHMS1fC3VEGKobZw2Sd2IUDo56Q/6al6EoMiVSy6sXWLTsS6YBc7DsOTFhLd++q+W68WoBCAwJ031pAXBxzMzryGjeREXrbiteMC/nrt7mabC2bp/Dp4iNiyP81WuCQ8OZ9eMmZg7pjlKpMHj+8QU+D9WvxSkLryOjeBP5YUpH8cJfc+7yTZ4GPQdgx/4TxMbGER7xCr+AZ4SFR9BrzCya9RrFD79uxdbGKsHjGFK27C4EPg3SbQc+DcbWzgZrG+sUx506dpZHD7Q/LmXP6Urnnm3Zt/OwYQp4xzmHM0FPn+u2g589x8bOBqt4z++nYlQqFROXePPbkZ+5+NdlHv/zxHAFJCJbdheeBXz8nNtik8hrk1ycSqVi3vKp7D25mbOnLvDgvp9hCvgox/jnT1AKz7P4cc+DQhjUbRR+D4z7ugQ+/7hNe9cOxG/TCn3NuSs3eRqk/VzyOXhC16bFqdVULFWU5VOG8fPsMZy+cI0NvgcNXsd73kP70LCuW5L7A4NDcHV20m27ODny+k0kbyIjCQp+jquzo96+oOCQxA5jEEEvInDNbPshHwdbXkfH8Cb6ww/PVpbmeLetTee5v1Nn9Ao2Hr/MwCbazurj4BeEvYqiz9KttJy6lhW7T2OXydLgdbznmt05ifeDVYrj0sr7RungiPpFvO9p4SHa7zaW8b7bOOdA8yoci7YDsBq2gEx9p+q+2yiUJqjuXCZq+XgiF4/CtHAZzGo0Mngd4stJVx22rVu30qiR9gRs0KAB27Zt49atW2TNmpXChQsD0KKF/vzyEiUSTm/5+++/8fLyArQdupRMr1QotF+GY2Ji8PLywsvLi5o1a3Lx4sVk72NpqW3MgoODdfdr3LgxGo2GoUOHpqDqVKBQgiaRXwbU8X61VJpgUqgMsWcPErVkBLGn92DZzRtMPnSAzat6EnvkDwMknAyFgkT/rr1eLaaYFC5L7JkDRC0eTuypPVh2H6tfS7XGxB7a8uXz/QS1RvOuJn1K5Ye3ZtmiBejVxpNBM36gzZBpKBRK7G2tUSqVjJy3muHdW+GUxcGAWSdOo9bo3ifxKU3i1VK8ML07NGPQ5IW07jcWpVKBva0NZmamxMWp+OviNeZ692fTkqlEvHrDkp+N+xoplQq9X5/fU6tVnx1XtERhft25mt9+2syxg4lPr/pSlApFom2AOt7IRUpiJvafRv1iXtg52NJtSKcvk2wKKZXKRJ9zVYLX5tNxQ3uPpVwhd+wd7Ok/vGeC2C9NkcLzLKVxxqRt0xLertemFStEr3ZNGDR1MW0GTNC1aWamprSoX5PRvTtiZWmBnY01HZvW58hp4027+xS1Wp1YE45SaYJa83GbqMHExHhfu9QaEm2jTeK9NvcCnrNq7xm2jevCwRm9+K5+BYat9kWj0RCrUnPmlh+zuzdiw6gORERGs2SnYduy+LTv7YS3q9XqfxVnVCn5bmNiguk3ZYk9vY/IuYOJPeFLpl4TwdSU2L/283brSoh5C1FviDm6A9MSlQyVvVFpDPjPmNLNoiOhoaGcPHmSGzdusG7dOjQaDREREZw4cSLZN937DlN8pqameo3WP//8Q968efU+UOIrXrw4Fy9epECBApibm+uuhevYsSOxsbGJ3icmJoaHDx+SP39+4MM1bMagCX+OIlcB3bbCLiuayFcQ+2HRA82rF6iD/VE/0U7TVN38G0XzPiiyuqAJDkCZPS8olage3DB4/vFpwkNQfFVQt51oLRFh+rXcOIeiRR8UWV3RBPunmVoAsjll4drdh7rt4NBw7GyssLL8cBH4m8hoyhUrSLM62umBQaEvWLbBB//A5/gHhjB3jfb6kJAXEajVat7GxDGpv+G/TLs6Z+Xq7fu67eCQMOxsrLGK9x58ExlFueKFaVa/JgBBIWEsXfsH9rY2OGXNTK2q5XWLlDRyr8KK37YbtAaA/iO/x72edpqtja01d29+qMklmxPhL14SFRmtd5+nAUGUKFMsybgGTeowftZIpo6ew65t+w1Qhb6ggGCKlvkwy8DJ1ZGXLyKIjjfqkVxMhRrl+ef2A0KCQomKjOLgjiO4NdSfimwIg0b1olY97dRfG1tr7tyK/9o4J/HaBFKybLFE46q5VeLOrXsEB4YQ+SaKXdv2Uc+zlkFq6TeiJ271tCMX1rbW3Lv1j26fczYnXiZSyzN//fMsqThjyuaUhWt3PtQSHPLiXTsQv0171w68ey2DQsJYtn4r9rbW+B4+RaF8uSiY9ytA+yXJ1FR/hkRaks3VWe+6tOCQEOxsbbDKZEk2FyeCQ0Lj7QvDxckxscMYRLbMtlx/9OxDPuGvsbOyJJPFh4WdTt98RMl82XWLjLSuUYq5fxwj/E0UzvY21CqVX7dISYPy37Bqb/KXlKS2viN6/Kv3TfEyRT8ZZ0zqF88xzVNIt62wz4rmzSttB+x9zMsw1EH+qP3uAtopkRZtB6DM6oryqwKoAx6ifvro3QEUoEo7P+SI/y7djLD5+PhQsWJFTpw4wZEjRzh69Ci9evXizz//JCIigjt3tA2mr6/vJ49Vrlw5du/eDWg7az169Ej0V6f3+vfvz7Jly7hy5Yruttu3b/PkyRNMTBJ+kKjVapYsWULJkiX56quvPrfUVKe6ewXlVwVRZNWujmhWsS5xN//Wj7l9EWUWZ5Q58gGgzPuN9heFsGAATPIVRfXPdYPmnRjVncvaWt6t9GhWqR5xN859FJNULdopESb5iqK6f82geSelUqlvuHrnAX7vpmts2Xcct29L6cUEh4XTzXsur99NLVy9ZQ8e1cpTsvDXHFwziy0Lx7Nl4Xha1q9OvarljNJZA6hctjhXb9/HLyAQgM27D+NWqaxeTHDoC7qOmMrrN9rVuVb/7oNHzUooFArqVPuWA8fPEv02Bo1Gw5HT5ylaMJ/B61gyayVN3dvT1L09rT26UrJcMXLnzQVAm87NObLvRIL7nDp2Jsk4t7rV8J42jO9a9TdKZw3g7PG/KVbmG3Ll1V5n07RTY04eOJXimFqNa9J9SGcAzMzNqOVZk/N/Jj274EtZOHMFnm5t8XRrS4v6nSldtjh58mmf83ZdmnNo7/EE9/nz6F9JxjXwqsOA4d8DYG5uRgOvOvx18u8Ex/gSls5eRfNaHWleqyPtGnSnRNlifPXu/GnduRlH9p1McJ/Tx8+mKM6YKpUpztXb/+jagS17juBWsbReTHBYON1GzvjQpm3yxaNGRRQKBff9/Fm2fjsqlZrotzFs9D1EveoVDF5HSlX+tgxXbtzG74n22s9N2/fgXk07suFWtSLbdx8gLk5FxKvX7D10HPfqxhv1qPRNHq4+fIZf8AsA/jh5hZolvtaLKfKVCxfu+RP67hrVo1fuk8PRnsw2VtQuXYADF+8SHROLRqPh6NX7FM1t2Otxl81eTYtanWhRqxPtG3xHSb33Q9Mk3zcpiTMm1e1LmOQuhMIpOwBmVRsQd+2MfszN8yizuKDMpX3NTL4uChoN6tAglNlyY96gvXZGlZk5ZtUaEXcxbdUo/huFJrH5FWmQp6cngwcPxt3dXXdbWFgYbm5u/PTTT0ydOhWlUknevHmJiIhg9erVukVHKlTQNvaFChXizp07REREMHbsWB49eoSpqSljxoyhXLlyyT7+hQsXWLp0KSEhIURGRpItWzbat2+Ph4dHgmX93y/77+3tjb29Pf7+/nTq1IkjR/79xcavRzb71/cFMClUBvP6HVCYmqIODSR602KUWVywaNGHqEXaqZnKvN9g0aATmFtCXCxvfX9C/Ui7aIq5Vw80r16k3pRI9b8/7UwKl8Hc492y/qGBRG9chDKrCxYt+xK1YAjwrpZGnT/U4vMT6ke3ADBv2hNNRBixh1OnFrPug/7T/U+ev8ai9duJjYsjl6sT0wZ1wz/wOROXrWPLwvEA/L77CBv3HEOt1lDmm/yM7tkWSwv96yd/+H0n4RGv//Oy/gpL608HJeHEucssWrNJW0s2Z6YP741/YDATFqzmj+XaP52wwecAG30PotFoKF20IGP6dsHSwhyVSs2q37ez7/gZ1GoNRfLnYfyAbgn+LMDnKPFt73993/eq16rMkLF9MTMz48kjf0b2m8jL8AiKlSzClAVjaerePtm4vaf/wN7BjqDAD9eHXTx3hSmjPn+VWAfTf//aVHKvoF2y39wM/0dPmTxwOtm/ys6YecPpVOe7JGMiwl9hY2fDyFlDyFcoLwDH955k9dyfE52el1LPYyL+9X3fq1m7CsPG9sfM3IzHj/wZ1mccL8MjKF6qCNMXjMfTrW2ycbZ2Nkyd503Bwtq2+8DuoyycteJf1WVp8t/+/ES1WpUZ7N0HUzNTnvgFMKbfJF6GR1C0ZGEmz/emea2OycbFdyPoLFWK1P3Xy5NfPL3oP9Vy8u8rLPply7s2zZlpw3ri/+w5ExevYcvSKQD87nuQjbsOa9u0ogUZ3bsjlhbmREW/Zcby9Vy9/Q9xKhV1qpZnQOcWyf6o+ilK+/+++p/31Hnkz5ebru1acP3WXSbMXMTWtcsAOHH6HAtX/kJsbBy5cmRjxrhh2NvZEhenYu7S1fz19yVi4+Jo6eWR6J8F+BxxVw79p/ufvP6AJT5/EhunIqeTA1M718c/5CWTfjvA5jHaH/s2Hr/EpmOXMTM1wc7KklGt3cmf3RGVWs3qvWc4cOEOKrWGIl85M7ZtnQR/FuBzlG+35j/VU61WJe1y/WZmPPHzZ3S/yUS8e99Mmj+GFrU6JRsX3/WgM1QtUu9fv2/+av3fRk/fL+uPiSmakGdE/TofZVZXLNtqV30EbSfNwqub9ruNKpa3W1ehenATzCywbNkLZZ5CKJSmxF7+k5hd6/5TPraLd/2n+xvK93laGuyxVj4y3mUa6abDlhS1Ws3cuXPp168fVlZW/PzzzwQFBTFq1Chjp5aq/muHLc35Dx22tOa/dtjSmv/SYUtrUqPDlpb8lw5bWpMaHba05L922NKS/9phS2tSo8OWVvzXDlta8187bGnJf+2wpTXSYUvImB22dHMNW1KUSiUODg60aNECMzMzcuTIwbRp0z77OB07diQiIuEXiDZt2tC2bdvUSFUIIYQQQgiRStLQ0jFfVLrvsAH07NmTnj3/28pe69ev/3SQEEIIIYQQQhhQhuiwCSGEEEIIIf6/aIy+4L5hpJtVIoUQQgghhBDi/42MsAkhhBBCCCHSnf+Xa9hkhE0IIYQQQggh0igZYRNCCCGEEEKkO3INmxBCCCGEEEIIo5IRNiGEEEIIIUS6I9ewCSGEEEIIIYQwKhlhE0IIIYQQQqQ7ao1cwyaEEEIIIYQQwohkhE0IIYQQQgiR7vx/jK/JCJsQQgghhBBCpFnSYRNCCCGEEEKINEqmRAohhBBCCCHSHfX/yaRI6bClF0qFsTNIVQrzDHTqaTLWXwHRxEQbO4VUY2dqZewUUpWZwsTYKaQapSJjtWnRqlhjp5B6ol4ZO4NUFffoqrFTSDWmJWsbO4VUZa5cZ+wUUk+cytgZiAwsA31rFkIIIYQQQvy/0PyfjLDJNWxCCCGEEEIIkUbJCJsQQgghhBAi3clYF6UkTUbYhBBCCCGEECKNkhE2IYQQQgghRLrz/7JKpIywCSGEEEIIIUQaJSNsQgghhBBCiHRHVokUQgghhBBCCGFUMsImhBBCCCGESHdklUghhBBCCCGEEEYlI2xCCCGEEEKIdEejkWvYhBBCCCGEEEIYkYywCSGEEEIIIdId+TtsQgghhBBCCCGMSjpsQgghhBBCCJFGyZRIIYQQQgghRLrz/7Ksv9E7bP7+/tSvX5+vv/4agOjoaMqUKcPQoUNxdHRM8n6LFy9m27ZtdO7cma5du6Z6XkePHuXRo0fJHvvJkycsX76c6dOnc+3aNTZu3Mi0adNSPZfUYFKoDOb1OqAwNUUd6Ef01h/gbZRejNLlKywadwdLK1Crebt9JeqnD0ChxKLxd5jk/QaAuDsXidm7zhhlAGBSsDTmddqBqRnqQD/e7liRoBaFSy4sGnbT1RKzcxXqpw8hkzUWnj1QZsuDJiaauIvHiDu7z0iVaJ04f41F63cQExtHwTw5mNSvIzZWmfRiNuw6yu97jmFpbkbeXK5492yLva21XszgmStwymLPmJ5tDZm+nhN/X2HRum3ExMZSME9OJg3omrAW38P8vvswlubm5M2VDe9e7bG3tdGLGTx9GU5ZHBjTq70h00+gSq2K9BndE3MLM+7ffMDUobN48zoyRTEWluYMnz6YoqUKo1AouH7pFnPGLOBtdIxRaqlUqwLfj/oOMwsz/rn1gJlD5xL5US0piZm6eiIhQaEsHLvEkOknqmadqgz17oe5hRl3bt5nzMDJvH79JsVxNrY2zFg0jnz586BUKtm+aRerlqw1QiXaHIeP7Y+5hRm3b9xjdDK1JBZnY2vDzEXj+bpAHhRKJds2+hqtlhMXrrPo153ExMVRMHcOJvVpl7Ad2HOM3/ee0LZpOVzx7tEKe1trXr2JYsIPv/EwIAiNRkPjmhXo1rSOUeoAOHHtAUt8ThITp6JADicmdqiLTSYLvZgjl++xfNdpFEoF9laWjG9fl1xODgBsOn6Z7aev8TYmjiJfuTCxQ13MzYz71Uuj0eA9dR4Fvs5D13YtEuw/fvocC1f8TGxMLAXz52Xy6EHYWFujUqmYs2Q1p85eIE6lokvb5rRu2tAIFWhVrVWJ/mO+x8zcnHu3/mHykBkJ2udPxbhkd2btrpW0qd2F8LCXhi5Bj0mx8lh4dUVhaoYq4CHRvy6EaP16lNnzYNGqN4pM1qBWEb1hCeon9/ViLHuORRMeytvNyw2YvfjS0sSUSGdnZ3x8fPDx8WHfvn04OjoyYMCAZO/j4+PDzz///EU6awDXr1/n9evXycY8ffqUJ0+eAFC8ePE021nD2g6LFv2I/m0OkfMHoA4LwqJ+B/0YM3Msu40n5oQPUUuGE3PkDyxbDwLAtHQNFE7ZiVw0hMjFQzHJVxSTYpUMXweAlS0WTfsQ/fs8ohYNQv0iWNt5i8/MHMvOY4k9uZPoH0YSe2wrFi2055O5Rxc0MdFELR5M9CpvTAqWwqRgGSMUohX28hXjlqxj/sie+P4wiZwujixct10v5ty1O6zZvp/VkwexZeFYqpUpxqQfftWLWbNtPxdv6jfahhb28hXjFv3M/NF98F0xnZyuTiz85Q+9mHNXb7Nm615WTx3GlsUTqVa2OJOW6nf+12zdy8Ubdw2YeeIcstgzbsEoRvUYR8tqHQl4/JS+Y75PcUzXAR0xNTGhXa1utKvVDQtLCzr375DYQ31xDlnsGT1/OGN7TqR99S489XtGrzHffXZMu96tKVmhuCFTT1KWrA7MXDSBft2GU69Sc5488mfYuP6fFTd4dG8CnwbTsHprmtXtSNsuLShVzvD1ZcnqwOzFE+nbdRh1KjbjiV8Aw8cnXktScUPe1eJRrRVN63SgfdeWlC5XwrCF8K4dWPor84d/h++S8eR0ycrCX3fqxZy7dpc12w+xemJ/tswbTbUyRZm04ncAlm3chUtWB7Yv9GbDrOFs3n+SK3ceGLwOgLBXkUxYv4+5PRvjM7EbOR3tWbTjpF5MdEwsY37Zw7yejdk8phPVi3/NrM1HADh86R4bj11i5YAWbB3Xhbexcfx65IIxStH559Fjug8YzcFjfya6P+xFOOOmzWfhtLHs2vgjObO7smD5zwBs8dmL35MAtq9fwcYfF/Hr5h1cu3nHkOnrOGR1YOLCMQz7bizNqrUjwO8p/b17f1ZMw5b1+XH7UpyzORk6/QQUNvZYdhxC1KqpvJnUA3VIIBZNPvp+a2ZBpv7TiDn4B5Ez+hGz93csu47QCzGv0wKTr4sZMHPj0xjwP2NKEx22+BQKBf379+fevXvcvn2bVatW0bRpUxo3bszs2bPRaDSMHz+eoKAg+vbty61btzh69CheXl54enrSp08fQkJCAHB3d2fQoEHUq1eP0NBQduzYQdOmTfHy8mLMmDG8ffuW2NhYhg8fTpMmTWjSpAmbN2/m/v37bNy4kY0bN7J161aCgoLo3r07rVq1ombNmixatAiAqVOncv36dSZNmsTZs2fp2LEjAA8fPqRjx454enrSunVrrl69CsCoUaOYOnUqbdu2xd3dna1btxrkOTUtUBK1/300oc8AiD2zH9NS1fRiTAqUQhMWiOrORQBUt/4m+vd52p1KJQpzCzA1BVMzMDGFuFiD5P4xk/wlUQX8gyYsEIC4cwcwLVktQYwmLAjVvUsAqG6fJ3rTAu2+7HmJu3wCNBpQqVDduYRJ0YqGLSKevy7fpFj+3OTO7gJAq/rV2XPinN7fFbn5jx8VSxTG1TEzALUqleb439eIjY0D4O9rdzh16SYt61U3fAHx/HXpBsUK5PlQi4cbe46f1a/l/iMqliyCq2MWAGpVLsvxc1fi1XKbUxev09KjpsHz/1iFGuW5efk2Tx4GALB1rQ/1m9VOccyls1dYs2gdGo0GtVrN3ev3yJbDxbBFvFO+RjluX7mD/7s8d6zbSZ2mtT4rplSlknzrVp4d630Nl3gyqtasxLXLN/F7oP3RbMMvf9C4hcdnxU0ZM4eZExYC4OTiiLmFOa8jkv+h7kuo6laJq5dv8Ohdjr/9vAWvxGpJJm7ymDnMmKBt55xdnDC3MONVxCsDVfDBX1duv2vTnAFoVa8ae07+rd8OPHhMxRKFcM36rk2rWJLj568TGxvHyG4tGNq5KQAhLyKIiY1LMDpnKH/d8qNobldyO2vzbFm9JHv/vqVXi1qtAQ28fjdyHvU2Bot3I2i+Z2/QsXZZ7K0zoVQq8G5bm4YVvjF8IfFs3LqL5p71qOtWLdH9p89dpGiRguTOlQOA1k0bsfvAUTQaDYeOn6ZJw7qYmppgb2dL/do18N1/xJDp61SqUZ4bl2/x5KE/AFvWbsejWZ0Uxzi6ZMWtfjX6th1q2MSTYFKkDGq/u2iePwUg9sQuzMq76cWYflMG9fNnqG78DUDc1TNE/zT9wzEKFMfkm7LEntxtuMSFwaS5DhuAubk5uXPn5vbt21y/fp0//viDHTt2EBQUxM6dO5k8eTLOzs6sWrUKZ2dnxo8fz7Jly/D19aVMmTJMnjxZd6zq1auzf/9+wsLC2Lx5Mxs3bsTHx4esWbPy008/cenSJV6+fMmOHTtYuXIl58+fJ3/+/LRp04Y2bdrQvHlzdu3aRaNGjdi8eTO+vr6sXbuWsLAwxo4dS7FixZgwYYJe/sOHD6djx474+voyevRoBg4cSEyMtjEPDAxkw4YNLF++nNmzZxvk+VTYO6J5GaLb1kSEorC0BosPH4JKx2xoXoVj0awPmfrOwrL7BFBqT4+4C0fRRL3BevRqrMf8iCY0ENXt8wbJ/WNK+6xoXobqtrW1WOnXkjUbmtfhmDfphWWvGVh2GYtCaQKAyv8+pqWqg9IEzC0wLVoBha2DocvQCQx5oeuIAbg4ZuZ1ZDRvoqJ1txUvkJdz1+7wNFhbt8/h08TGxRH+6g3BYeHM+mkzMwd3Q6lUGDz/+AKfh+k6YvC+lij9Wgrl49zV2zwN1p6PPof+fFfLa4JDXzBr1e/MHNoDpdL4TZNLDmeCnwbrtoOfPcfGzgZrG6sUxZw9fp7HD7RfFFxzuNDmuxYc3nXMYPnH55zdiaCnz3Xbz9/laRWvluRisrpkZeDkvkzpNx21Km1cMeCaw4VnAYG67cCnwdja2WBjY/1ZcSqVirk/TGHPic2cO3WeB/f9DFNAPNmyu/AsIOijHG0T1PKpOJVKxbzlU9l7cjNnT10wSi3aNs1Bt+2S1SGRNi0P567f5WlwGAA+R85o24HXb1AoFJiamDB60VqaDZ5GuaIFyJPdOD90BL2IwDWzrW7bxcGW19ExvIk3rdnK0hzvtrXpPPd36oxewcbjlxnYRNsZehz8grBXUfRZupWWU9eyYvdp7DJZGryO+LyH9qFhXbck9wcGh+Dq/GHEycXJkddvInkTGUlQ8HNcnR319gUFhyR2mC/OJbsLQR+1vbYft8/JxIQEhTKsuzeP3/34YWzKzI6oX3xofzXhIdppj5Yf6lE650AT8QKLDoOwGrmITAOma7/LAAr7LFi07EX0z7NBkzbaaENRozHYP2My/reiJCgUCtatW8fVq1dp1qwZTZs25fr169y/rz/t6+rVq5QoUYKcOXMC0Lp1a86cOaPbX7JkSQDOnj2Ln58frVq1wsvLi8OHD/PgwQMKFCjAw4cP6d69O/v27WPECP3hZYDu3buTLVs2fvrpJ6ZNm0ZsbCxRUVEJ4gDevHnD48ePqVu3LgClSpXC3t6eBw+0UzqqVKmCQqGgYMGChIeH/+fnKUUUChI9z9Tx3tRKU0wKlSH274NELRtJ7Ok9WHbxBhNTzGu1QvMmgjfTuvNmRk/IZINZVU/D5P4xhZJEi4lfi4kJJgVKE3f+ENErRhN7Zh8WHUeDiSkx+9aBRkOmPrOwbDcc1T9XQaUyWPoJ09ZoX5+PxO+wlC1agF6tGzFo5graDJ2OQqHA3tYapVLByHk/MbxbS5yy2Bsy7USpNSmppSC92jZm0LRltBk8+UMtCgUj56xi+HdtcMriYMCsk6ZUKNEkcqqp4nVYUhJTuHhBVu1Ywpaft/Pnob++RKqfpFQqSSzR+J2vpGIUCgUTl3mzZOIPhL77gp0WKJWKxJ97teqz44b1Gce3hWthn9mefsN6pHaqn6RUKvVGbd5LWMun44b2Hku5Qu7YO9jTf3jP1E/2E9QaDfCJduCb/PRq6cGg2atoM2KW9tovGyvMTE10MTMGdubEz7OIeP2GFVv2GiL1BLTNc8JaTOLVci/gOav2nmHbuC4cnNGL7+pXYNhqXzQaDbEqNWdu+TG7eyM2jOpARGQ0S3YmPhUxrVCr1Yk14yiVJqg1mo+eDw0mJsb5Gql9XyfyXtBr0z4dk2YolEl8T4vXBpiYYlqsHLF/7iVy1kBij+0kU5/JYGqGZbdRvP1jFZqIFwZLWRiW0RcdSUxMTAwPHz6kQoUKeHp66q5Ti4iIwMTERC9WrdZ/42k0GuLi4nTbFhbai4NVKhUeHh6MHTsW0HasVCoVdnZ27N69m1OnTnH8+HGaNm3K7t36w8kzZ87kyZMnNGrUiNq1a3P69OlEG4H3j5/Ybap3nYL3+ST2IfClaMJDUOQqoNtW2GVFE/kKYt9+iHkVhvq5P+on9wDtlEhFs94osrhgUrQCMb4/gSoOVHHEXTyGafGKxP5p+KlR6pchmObM/6EW2yxoIl/r1xLxAvXzANT+2s696vZ5FE16ocjiAjHRxBz4FaK0F/ObVW+qm15pDNmcsnDt3kPddnBoOHY2VlhZfrio/U1UNOWKFaBZnSoABIW+YNnvvvgHhuAfGMLcNdrrxELCI1Cr1byNiWNSv46GLYR3tdz9cK1JcOiLhLVERlGuWEGa1dX+Ah0U+oJlv+3AP+g5/kHPmfvTJgBCXrx8V0sskwZ0MWgd7wUGBFG0TBHdtpOrIy9fRBAdb6TgUzF1vNwZMX0wc8cuYv/2Q4ZL/iNBAcEUKV1Yt+3o6kjER7UkFZOnYG6y5c5Gvwnaaz+yOGXBxESJhYU5s4bPM1wRwMCRvahVXzv118bGmju3PvyA55LNifAXL4mKjNa7z1P/QEqWKZZoXFW3Sty9eY/goBAi30Sxa9t+6jVyN0gtg0b1ola9GtpabD+uxTnxWgICKVm2WKJx1dwqcefWPYID39eyj3qe+tNeDSGbY2au3Xuk2w4OfZl4m1a0AM1qVwYgKDScZb/vwt7GmlOXblIgd3acszhglckCj6rlOHjmsoGr0MqW2Zbrj57ptoPDX2NnZUkmCzPdbadvPqJkvuy6RUZa1yjF3D+OEf4mCmd7G2qVyq9bpKRB+W9Ytdc4P9qkVDZXZ73r0oJDQrCztcEqkyXZXJwIDgmNty8MF6ekF4f7kgIDgihW+sP0UudsibfPn4pJK9QvgjHNU0i3rXBwRPPmFcR8+G6jDg9FHfgE9SPt6xN39QwW7QehzPU1SkdXLJprf2xS2GXWjryZmfP2t0WGLcQIkvo+ntGkuRE2tVrNkiVLKFmyJM2bN8fHx4c3b94QFxdH37592b9/v158yZIluXLlCv7+2qlHmzZtokKFCgmOW6FCBQ4ePEhoaCgajYaJEyeydu1aDh8+zPDhw6lZsyZjx47FysqKZ8+eYWJiouv4nTp1iu7du+Ph4cHDhw8JCgpCrVbrxbxnY2NDzpw5OXDgAACXL18mJCSEAgUKJMjJUFT3LqPM4SGWvgAAb1BJREFUVRBF1mwAmFWoS9zNv/Vj7lxCmdkZZfZ8ACjzfIMG0LwIRv30AabFtR+sKE0wLVIO1WPjLAqhun8Fk1wFUGRxBcD02zrE3f6olnvva8kLgDJ3EdBo0LwIxrR8XczdW2sDre0xLetO3FXj/eJZqVQRrt55iN9T7TSnLftP4PZtSb2Y4LBwuo2dz+tI7aju6i178ahWjpKF83HwpxlsWTiWLQvH0rJeNepVLWuUzhpApdJFuXrnwYda9h7HrUJpvZjgsJd0GzPnQy2bduFRvQIlC+fn4M9z2bJ4IlsWT6SlR03qVfvWaJ01gLPH/6ZYmW/IlVd7LUezTo05ceBUimOq1qnM0CkDGNB2mFE7awDnjp+naJlvyPkuzyYdPfnzwOkUxdy4cJMW5dvSre73dKv7PT7rfTm885jBO2sAi2atoLFbOxq7taOFRxdKlS1O7ny5AGjbpQWH9x1PcJ8/j51JMq6BV23dKJS5uRkeXrX56+TfCY7xJSycuQJPt7Z4urWlRf3OlC5bnDzvcmzXpTmH9iZSy9G/koxr4FWHAcO/19XSwKuOwWqJr1KpIly9+wi/d1PRthw4iVt5/YVcgsNe0m38og/twNb9eFQth0Kh4MDpS6zYvBeNRkNMbCz7T1+kQvGCBq8DoNI3ebj68Bl+wdpRiz9OXqFmia/1Yop85cKFe/6ERmh/BDx65T45HO3JbGNF7dIFOHDxLtExsWg0Go5evU/R3K4Gr+NzVP62DFdu3MbvifZa1k3b9+BeTbvImFvVimzffYC4OBURr16z99Bx3KsbZwGyv46do3jZouTKq51d1bxTE47vP/nZMWmF6uZFTPIWRuGUHQCzag2Iu/rXRzHnUWZ1RZlL+6O1Sf5igAb1k394492JyBn9iJzRj9g/9xB34fj/RWft/0maGGELDg7Gy8sL0HbYihQpwvz587G3t+f27du0atUKlUpFtWrVaNq0qd59HR0dmTx5Mv369SM2Npbs2bMnulpj4cKF6devH507d9Y9Rs+ePVEqlRw4cICGDRtiYWFB48aNKVSoEBEREYwcORJHR0e+//57RowYgaWlJa6urhQrVgx/f3+KFCnCq1evGD58OC1afFgad86cOUycOJElS5ZgZmbGkiVLMDc3/7JPYjI0byJ4u3UZlu2HoTAxRR0WSPTmJShzfI1Fs95ELRmG5nU4UetnY9GkB5hZgiqW6F9nQ1wsb3f/jEXjHlgNXoxGo0b1z1ViT/gYp5g3EbzdthyLtkPe1RLE261LUWbPh3mTXkT/MALN65dEb5iDeaPvUJhboImLI/r3uRAXS+yJ7Vi06E+mfnNBoSDmyGbUAf8YpxYgq4MdU/p3YujsVcTGqcjl6sS0gV24cd+PiUvXs2XhWPLmcKV7s3q0HzELtVpDmSJfM7pnG6PlnJSsDnZMGdiVoTN++FDLkO7cuPeIiUt+YcviieTN6Ur3Fh60HzoNtUZNmW8KMPp74y7dn5QXoeFMGTyTmasmY2puRsCjACYOnE6REoXwnjecDnW+SzIGYOD43igUCrznDdcd88rf15kzZqHBawkPDWfGkNlMWTUBUzNTnvo9Y+rAmRQqUZCRc4fSre73ScakVWEhLxg1cBJLfpqNubkZjx/5M7zveACKlSzC9IXjaOzWLtm4GeMXMHnuGHaf0I7sHtxzjLWrfjd4LaEhLxg5YCJL18zB7F2Ow/qMA6B4qSJMXzAeT7e2ycZNHz+fqfO82XtyMwAHdh/ll5UbDF5LVntbpvTtwNC5PxEbF0cuV0em9e+kbdOWb2DLvNHkzeFC96Z1aD9qLmqNhjKFv2b0dy0BGNqlKVNXbqTZYO37qFaFkrRvWNPgdQBksbViUsd6DF/tS2ycipxODkztXJ8bfoFM+u0Am8d04ttCX9G5Tjm+W7AZM1MT7KwsWfC99vtMqxqleBkZTbuZv6JSayjylTNDmxnvTxQk5fqtu0yYuYita5eRNbMDU8cMZvDYacTGxpErRzZmjBsGaBcgeRLwjOad+xAbF0dLr/+1d9dxVd1/HMdfNwi7MTe726Gim60zETA3A1uxsMV2drcz509nJ2LOzs12ds0uEDAAERDuvef3B/NOxALxHi9+nnvweOze873w/nK9h/M936pN6ZKWX4kUos/Pv/Qcy6SFo7Gx1fPgzkOGeo6mYPH8DJs8gJ9rtHlnmS+REhpMxLJpJOkwGPR6lEA/wn+fjPbbvNg370HYuG4oIc8Inz8S+5+6gp09GKKIWDBatUXgvhRf4ADXz0KjfC19iVYudGBDtSMkKI1e9+FCVkLfrPOHC1kTnc2Hy1iJCpUHqx0hQdlpvoh7bAniUWSQ2hESlCkR/Sm9fGCC2hESlMn/9ocLWQl98eofLmRFyhZ1VztCgjnoluLDhaxIijnqzB2Nq5rfxF5R93PZeV+930ni+esvhBBCCCGE+GqovT+apXxxc9iEEEIIIYQQQkSTHjYhhBBCCCGE1VF7fzRLkR42IYQQQgghhPhCSQ+bEEIIIYQQwup8LWsnSg+bEEIIIYQQQnyhpIdNCCGEEEIIYXVkDpsQQgghhBBCCFVJg00IIYQQQgghvlAyJFIIIYQQQghhdWTjbCGEEEIIIYQQqpIeNiGEEEIIIYTVMcmy/kIIIYQQQggh1CQ9bEIIIYQQQgir83X0r0kPmxBCCCGEEEJ8saSHTQghhBBCCGF1vpaNszWK8pXM1rNyzt/WUztCgtKjUTtCgvEzPFc7QoIKNUaoHSHB7C1or3aEBDXmTka1IySYC4anakdIUGX06dWOkGD2R/qqHSFBhRlfqh0hwdhqE9d99uMXlqodIcE0KOWpdoQEteXeVrUjfJTvs1a12M/66+E+i/2sNyWuT74QQgghhBDiq/C19LDJHDYhhBBCCCGE+EJJD5sQQgghhBDC6nwtM7ukh00IIYQQQgghvlDSwyaEEEIIIYSwOjKHTQghhBBCCCGEqqSHTQghhBBCCGF1FOlhE0IIIYQQQgihJmmwCSGEEEIIIcQXSoZECiGEEEIIIayOLOsvhBBCCCGEEEJV0sMmhBBCCCGEsDqyrL8QQgghhBBCCFVJD5sQQgghhBDC6sgcNiGEEEIIIYQQcbJlyxbq1KnDjz/+yIoVK2Idv3LlCg0aNKBmzZoMHjwYg8Hw3u8nDTYhhBBCCCGE1TGhWOzrY/n7+zNt2jRWrlyJj48Pa9as4caNGzHK9OvXj2HDhrFz504URWHt2rXv/Z6fdUhkhw4dGD16NBkzZvzo18yYMYMiRYpQrVq1z5js6+NY1RF3r1bY2Npw5+odZvabQXho+EeVSZ4qOV3GdiFnoVy8DItgz7o9bF2yVaWawHdVHWnh5Y6NrQ13r95hdr+ZseryiufUnty9epdNCzYCoNVqaT20LSUrfYdOr2XTgo3sXL7DkvFjKV/NiS4DO2BjZ8ONy7cY02ciYaFhH1UmWYpkDJ7Sn+x5vkWr1bB93U6W/bpKpZpEq1i9PD0Hd8HG1oZ/Lt9gWK8xvHijPu8rp9Vq6TfCk++rOKHX61gyZyVrl25UoSZg6+RE8g4d0NjYYLh1i5CJE1HCYtYleefO2FeujOn5cwCM9+4RPHJkjDKpRo7E9OQJz2fMsFj2NxWqUhLn/j+jt7XB9+o9VnnNI+Idn5vmU7rgd/Ue+xZGf841Wg2NR7YlT9lCAFzaf4ZNY5dbLPvbOFUtQ/uB7bCxteHWldtM6jsl1ufmfWV8zq8n0O+xueyaeWvZs3GfRevwSoEqJanV/yf0tnr8rt5jvdcCXr7x3pR0/YGKneqBohAVHsmmX37n4YVb5uOpMqel68ZRTK89gLBnzy1dhRi+r+ZEl4Edsf33fDW6z4RY54B3lbGzt6Xf2F4ULlEAjUbDxTNXmDRoGi8jIlWqzaef017JlMWBFdt/o2HVlgQ9DbZkFcx+qFaO7oM6YWNry/UrNxnZe1ysunyoTMYsDvy+dT4/VW+tWj1eURSFwaOnkDd3Dto0axTr+MEjJ5g+bzFRkVHky5OTkQN7kjxZMoxGI5NmLeSv46cxGI20/rkhTd3qqlCD/ySm67TEKiQkhJCQkFjPp0yZkpQpU5ofHzlyBCcnJ1KnTg1AzZo12bFjB926dQPg4cOHREREUKJECQAaNGjAzJkzadas2Tt/9mftYVu4cGGcGmsAPXr0kMZaAkuZNiU9JvdkXKdxdK7iwaN7j2g9oPVHl2k/vAPhLyLoWq0LfV378l1lR0pXK235ivybs/vkHkzsNI5uVTrz6N4jWr5RF4BsebIxctVoytX5PsbzPzavRZacWelRoyv9nHtTr60LeYvntVD62FKnTcWQaV4M7DCMphXc8b3nS9dBHT+6TKf+bQnwC6R51Ta0qe1BA3cXinxXSI2qAJAmXWpGzRhCz7YDcf6+KQ/u+tJrSNc4lWvs7kb2XN/iVqk5P9VsS4uOTSlS0vJ10qRKRSovL4KHDeOJuztGX1+Sd+wYq5xNkSIEjxzJ0/btedq+fazGWtKffsK2WDFLxX6r5GlT0HxSZ/7XeSpjqvXiyX1/nL1i/2HImDsr3VYOpUTtsjGeL92gIg65sjCuZl/G1+5PnrKFKFHHyVLxY0mVNhX9p/ZleMeRtKrUFr97fnQc2O6jy3yTKxshQc/pUNPD/KVWYy1Z2hQ0ntSJZZ2nMblaH57eD6C2188xyqTPlZk6g5rxP/fxzKgzkL2zNuI+r5f5eKkGFfBYO5xUmdJaOn4sqdOmYui0AQzoMJTGFVry8J4vXQd1+ugybTxbotfpaFatLc2qtcXO3o5W3VuoURUgYc5pAPUb12bJpnlkzOxgyfgxpE6Xml+mD6Jv+yE0qNCMh3d96T64c5zK1G1ci982zsYhcwZLx4/l5p17tPMcyO4Df771+NNnQQwdM5XpY4awdfVvZMuSiWlzFwOwbtMf3L3/kI3L5rH6txksX+vDhcvXLBk/hsR0nWZpigX/+/3336lWrVqsr99//z1GpoCAADJk+O8z4uDggL+//zuPZ8iQIcbxt/moBtuCBQtwc3Ojfv36TJw4kfv37+Pi4kKvXr1wdnbGy8uL1atX07RpU2rVqsXNmzcBqFq1Kg8ePODq1as0adKEBg0a8PPPP3Pnzh2ioqLo168frq6uuLq6mrsCBwwYgLe3NwAbNmygXr16ODs7M2DAAF68eAHADz/8wKhRo3B1daVhw4bcv3//vflbtmzJmDFjcHNzo06dOvz5Z/SH+/Hjx3Tp0oUGDRrQsGFDjhw5AsCsWbNo164dderUYeXKle/8vg8fPsTd3Z169erRqFEjrl69CsC0adNo0qQJNWvWpGXLljx+HH0Xt1y5cgwbNgxnZ2d++uknHjx48DG//k9WsmIprp+7jt8dXwD+WLadSq6VP7pMnqJ52O+9H5PJhCHKwMl9J/n+jYaQpZSoWPLfnH4A7Fj2BxVdK8UqV9u9LrtX7+bItr9iPF+2lhP71u3BZDTxIvgFf245RMUGVSyS/W3KVirNlbNXuX/7IQDev2+mZoPqH11m6tBZzBo5F4D0GdNhY2tDaMgLC9YgpvKVy3LpzBXu3Y7+TK753Zu6DWvGqVz1OpXwWb0Vo9FISPBzdvjswblRLctV4l92pUsTdfUqxofRv/ewzZuxrx7zvcHGBpu8eUn688+k/d//SDViBFqH/y7IbEqUwK5MGcI2b7Zk9FgKVCjOvfM3CbzzCIA/l+/G0eWHWOUquP/I0dX7OLv9WIzntVottknt0NvaoLfVo7fVY3ipXo9H6Urfce3cPzz89zOxaekWqrlV++gyhR0LYzKamLFhKr/tno97zxZoterMEMhboRj3z9/iyb/vzbHluynpEvP8aoyMYoPXQp4HBgHw4MItkmdIjc5GRwqHNBT+0ZFF7uMsHf2tylYqzeXXzlcbft9Erbec095V5szxc/xvxlIURcFkMvHPxetkzhq3G78JKSHOaRkypqdq7Up0atrDcsHfolyl0lw6e4X7t6OvPdb9vpHaDWp8dJn0GdNRpVYFuv7cx7LB32H1hq00dK7Jj1UqvPX4kRN/U7hgPrJ/kxWApm712LZrP4qisOfgEVzr/oheryNVyhTUql6JLTvVuWkDies6LTFr1aoVe/fujfXVqlWrGOVMJhMajcb8WFGUGI8/dPxtPvgX6tChQ1y8eJH169fj4+ODv78/W7Zs4dq1a3To0IFNmzbx999/8/DhQ9asWUO9evVYs2ZNjO/x+++/06ZNG7y9vWnSpAlnz57lzJkzBAcH4+Pjw/z58zl16lSM11y7do158+axbNkytmzZQpIkSZg9ezYAgYGBlCtXDh8fH0qXLv3WyXxvCg0NZePGjUyZMoUBAwYQGRnJmDFjaNiwId7e3sydO5dhw4YRGhoKQGRkJNu3b39v9+SIESOoWbMmW7dupXv37sydO5e7d+9y69YtVq9ezc6dO8mcOTOb/71Ye/r0KSVLlmTLli3UrVuX0aNHfzB3QsiQJT2PXxv689jvMclSJiNJ8iQfVebamWtUaVAFnV6HfVJ7ytcuTxoHde7kps+SgSev5XzylroALBw2n8ObDsZ+feYMPPZ9/fVPSJ8p3ecL/AEOWR3w9w00Pw7wCyR5yuQkTZ70o8sYjUZ+mTWYFfsW8/fRs9y7+f4bGJ9TpiwOPPL97y6Rv28AKVImJ9lr9flQuYxvHvMLUOWutNbBAWPgf793U2Ag2uTJ0ST9ry7adOmI/PtvQhct4mnbtkRdvkzqMWPMx1J060bw6NFgMlk8/+tSZ0nHM78n5sdBfk9IkjIp9m98btYPX8zpzX+9+XKOrz9AePALRh2fy+gT8wm884iLe//+7LnfJUOWDAS89pkI9AskecpkMT437yuj02s5/effeLUYRI+GvSldyRG3Ni4WrcMrqbOkI/i19ybY7yn2KZNi99p78+zBY67uP2N+XG9IS67sOY0xysjzgGcs85jG49uPLJr7XTJmdSDAN8D8+NX56vVzwPvKHD94inu3ohsLmbJm5Kf2jdi79YDF8r8pIc5pgf6P6dl2AHdvqXduBsiYJSP+b/ze36zL+8o89n9C33aDuadyPV4Z3KcLdX989w3XRwGPyeTwXy9GxgzpCX0RxouwMPwDAsnkkD7GMf+Ax2/7NhaRmK7TLM2kKBb7SpkyJdmyZYv19fpwSIBMmTIR+Nr1Q2BgIA6v3cx98/jjx49jHH+bDzbYjh49yvnz52nQoAFubm5cvHiRGzdukD59egoVKoRWqyVTpkyUK1cOgCxZssQa31mpUiVGjRrFoEGDSJEiBc7OzuTNm5fbt2/Trl07duzYQf/+/WO85uTJk1SpUoU0adIA0LRpU44d+++ub4UK0XdU8ubNS3Dwh8dQN2nSBICCBQuSIUMGrl27xpEjR5g5cyYuLi506NABg8Fg7q0r9hFDmE6ePImLi4u5jjNmzCB79ux4eXmxbt06xo8fz9mzZwn7d86LnZ0drq6uALi5uXH8+PEP/oyEoNFo3rrsqclo+qgy/xu9CBSFGX/MZPBvQzj751kMUe9fzeZz+Zi6vI9WG/P1Gk30nQ61aDUa+EB9PqbML93HUKuICylTp6Btb/fPE/YjaLXat0WN9Tt+X7lYxzQajEZjwgb9GO/4vSuv1cX06BFBAwZgvH0bgLA1a9BlyYIua1ZSDR3K819/xfT0qcUiv4vmI/4NvU/tHo0IfRLCYMeODCvXmWSpk1Olfb2EjvnRtBrtB88D7yuzbeUfzBr6KxHhEbwIecG6heupUDt2j6MlxOWcZpPEjua/9iB9joysH7DAEvHiLPr3Hvt5Y6z35v1lChTNxwKfWaxbvJE/9xz9HFE/SkKc074Ub/79eyXGe/MRZaxFdC9G7Oe1Wh2mWD0aCjqdeuvwJabrNAHly5fn6NGjPH36lPDwcHbt2kXFihXNx7NmzYqdnR2nT58GYNOmTTGOv80HFx0xGo20atWKNm3aANET7h49esTZs2djlNPpdO/8HrVq1aJkyZLs37+fJUuWcODAAUaPHs22bdv466+/OHjwIG5ubmzbts38mjdPcoqixFjy0s7ODnj3P+A3vZ7PZDKh1+sxmUz8/vvv5kmBAQEBpEuXjj179mBvb//B76nX//frUxSFmzdvEhERQZ8+fWjdujU1a9b89yQenU+r1ZpPECaT6b2/s4QU6BtIvpL5zY/TZUrH86DnvAx/+VFlUqZJyeKxiwkNju59bNy1sblL3tIe+waSr2S+t+b8GIG+gaTN+N9dpzQZ0/L4tbvblub/MIDCpQqaH2fIlJ7gZyFEhEd8VJmylUpz8+otHvs/ITwsnN0++6hS9/0f+oTWtX8HqtSMvoGSLEUyrl+5aT7mkDkDwc+CCQ+LiPEavwf+FC1V+K3l/B7645DxvzufDhnT4+8XgKWZAgKwKfjf712bPj2mkBCI+K8u+ly50OfOTcTu3f+9UKNBmzYtuixZSNE1eg6LNm1aNFotGltbQiZNslgdXnnm+5gcJfOYH6fKlJYXQaFEfuTnplitsmz4ZTHGKCPGqHCObzhIidpl2f+bOpPa/X0DKFiygPlxhkzpCQl643PznjI1Glbn5uWb3LoS3dBGo1Ht4ibI9wnfvPbepMyUlrCgUKLeeG9SZ0lHq0X9CLzxkPk/jcLwMsrSUT/Ko4f+HzynfahMDZeq9B/bi8lDZrBz4x7Lhf9XQp/TvhSPHvrHmA/skPnt782HyliLzJkcYsxLC3j8mJQpkpM0iT2ZM2Yg4PGT1449JWOG9G/7NhaRmK7TLE2Jw+qNlpIxY0Z69eqFu7s7UVFRNGrUiGLFitGhQwc8PT0pWrQokydPZsiQIYSGhlK4cGHc3d9/s/2DtxOcnJzYtGkTL168wGAw0LVrVy5evBin4D179uTChQv89NNP9OjRg8uXL7N371769etH5cqVGTJkCEmTJsXPz8/8mjJlyrBv3z6CgoIAWLt2LWXLln3HT/iw7du3A3DhwgVCQkLIly8fTk5O5jlqN27cwNnZmfDwt6+a9jaOjo7mRuaRI0cYOnQoJ0+epEyZMvz888/kyJGDAwcOmHsHwsPD2bcveoy0t7f3B1vTCeXMoTPkL5mfzDmyAFC7RR2O7zr20WVqtahN8z7Rk75Tp0/Njz/X5KBP7OGGlnD20BnylcxP5hyZAajZojYndn18T+WJXcep1rQGWp2WpCmTUcG5Iid2HvvwCz+T4wdPUqRUIb7JGT3G3s29Pod3/fXRZarVr0y73tFjp21sbajmXJlTf1p2qNqvExfSqJo7jaq507xOe4p/V4Rvc34DQNNWbuzbcTjWa44cPP7Ocvt3HMKtmTM6nY4UKZNT27UG+/44ZLkK/evlyZPYFCqELmv07z1p/fq8/Cvme6MoCik8PdFmygRAEhcXDDdvEnXhAo+bNDEvRBK+eTMR+/er0lgDuHr4PNlL5CVDjuicPzSvwYXdpz7wqv88uHibknWjFxnR6nUUre7InTM3PvCqz+fUwdMULFWQrP9+Jpxb1uOvnUc/ukzO/Dlo06dV9Nw8e1vcWruwf8sBS1bB7J/D5/m2RF7S/fveODWvzuU33hvbZPZ0XD2USztOsrL7rC+2sQaxz1cN3Otz6APntNfL/FCjPH1GeeL5c19VGmuQ8Oe0L8XRAyco+l1hvsmZDYCG7q4c3Hk4zmWsRfkypTh36Sp370fPlVyzcTtVK0SPBqvygxMbt+3CYDAS8jyUP/YcpGrFcqplTUzXaSKas7MzW7duZefOnXTo0AGIXoyxaNGiABQoUID169ezY8cOpkyZgq2t7Xu/3wd72KpWrWpeNMRoNFKhQgVKl47byjMeHh4MHjyYX3/9FRsbG3755RcKFizIrl27qFu3LnZ2dtSvX5/8+f+7c1CgQAE6depEy5YtiYqKonDhwowYMSJOP/d19+/fx83NDYheFESn0zFkyBDzIiAAEydOJHny5B/9PYcNG8aQIUNYuXIlSZIkYfTo0aRIkYJu3bqZv2eRIkViLC6yY8cOpk2bhoODAxMmTIh3feIi+EkwM/rOYOC8geht9Dy658fUnlPJUywP3Sd40qO25zvLAKz/dR29p/dm9u5f0WhgxZTlXD9/3SLZ31aXWX1n0G/eQGxs9Dy694gZPaeSu1geuk7oTu/a75/UvWPZdjJlz8S0nbPQ2+jZtWIHl47H7QZEQnr2JIhRvSYwdsEIbGxteHDHl5E9xlKgWH4GTemHe4327ywDMHPEXLwm9GbFvuiVrw7+cZg1v21QrT5PHz9jSI9RTFs0FhsbG+7ffcDAbtGrJhYuXoARUwfRqJr7e8utWeLNNzmysmHfMmxsbVi3dCOnjp5534/9LJSgIEImTCDViBFobGww+voSPHYs+vz5SdmvH0/bt8d4+zbPZ84kzbhxoNViDAwkeNQoi2f9kNAnIazsN5e2c3ujs9Hz+O4jlvf+lW+K5uLnCZ2YWMfrva/3HvU7jUe2ZfDeqZiMJv756yJ752+yUPrYgp4EMbHPZEbMH4rexgbfu76M6zmRfMXy0W9SbzrU9HhnGYDfpy6jx+huLNqzAL2NnoNbD7Ft5R+q1OXFkxDW9ZtHi7k90dvoeXLXnzW955C1aC4aTejAjDoDKd+qJmmyZqBwTUcK13Q0v3ZhszGEBYWqkvtdos9X4xm/YCR6Wxse3nnILz3GUrBYfgZP6UcL8zktdhmAHsM6o9FoGDyln/l7njt5kUmDpqtSn4Q4p30pnj0J4peeY5m0cDQ2tnoe3HnIUM/RFCyen2GTB/BzjTbvLGMtLl75h+HjZ7Dh919JlyY1owf1oteQMURFGfgma2bGDe0LRC9Acv+hHw1bdSHKYKCxS21Kl1RvNd/EdJ1maaaPGGWXGGiUjxlPaOVatmxJt27dPqmHLiHkz5+fa9fit2ys87fqzRf5HPS8fzUca+JnUHfPo4QWarS+oS/vsrfgh4c2W5Mxd9RbLS+hXTCoP7cvIZXRqzecKqHtj0xcQ6nCjB839Nca2Go/6/a5Fnf8wlK1IySYBqU81Y6QoLbcs4593Ao6lLHYz7oScMJiP+tNieaT36dPn1i7iEN0D+GnmDBhgnm5/9cVKVKEMf+uBieEEEIIIYQQn0OiabBNmTLls3xfL6/3DxWKi/j2rgkhhBBCCCFi+hIXHfkc1FvDVAghhBBCCCHEeyWaHjYhhBBCCCHE1+NrWXREetiEEEIIIYQQ4gslPWxCCCGEEEIIqyNz2IQQQgghhBBCqEp62IQQQgghhBBWR+awCSGEEEIIIYRQlfSwCSGEEEIIIayOzGETQgghhBBCCKEq6WETQgghhBBCWB1FMakdwSKkh00IIYQQQgghvlDSwyaEEEIIIYSwOiaZwyaEEEIIIYQQQk3SwyaEEEIIIYSwOspXsg+bRvlaamrlovyuqB0hQSlGg9oREkzU3JFqR0hQystItSMkmBqrQtSOkKC0aNSOkGACIoPVjpCgbLWJ5/7niY7Z1Y6QoEzBYWpHSDgGo9oJElSzrTq1IyQY779nqh0hQdmkz6V2hI/ybdqiFvtZ955esNjPepMMiRRCCCGEEEKIL1TiuSUohBBCCCGE+GrIoiNCCCGEEEIIIVQlPWxCCCGEEEIIq/O1LMUhPWxCCCGEEEII8YWSHjYhhBBCCCGE1TFJD5sQQgghhBBCCDVJD5sQQgghhBDC6iiySqQQQgghhBBCCDVJD5sQQgghhBDC6sgqkUIIIYQQQgghVCU9bEIIIYQQQgirY5I5bEIIIYQQQggh1CQ9bEIIIYQQQgirI3PYhBBCCCGEEEKoSnrYhBBCCCGEEFbH9JX0sEmD7Stx8Ogppi9cRlRUFPly5WBk/24kT5Y0RpkV3ltZtXE7dra25Mr+DUN6diRVyhQEhzxn5LR5XLtxmyT29rjWrkrzBvVUqgkcOnaa6b+tICrKQN5c3zKyb5fYddm4ndU+O7CzsyXXt1kZ7NmeVClTYDQaGTtrEafOXQagQtmS9OnkjkajUaMqAOjyl8L2x2ags8H06C4vN86Fl+ExymgyfotdvbZgnxQUE5E+CzD53gKNFlvnduhyFgLAeO1vIncsU6MaAOgKfodtbXc0ehtMfneIWDsrVl20mbJj59YB7JOBycTL9XMwPbyJvbsXmnSZ/iuXNiPGW5eIWDzG0tUwK1/Nic4D2mNjZ8PNK7cY02cSYaFhH1UmWYpkDJrSj+y5v0Wr1bB93U6Wz1mtUk2gXLWyeAxoj62dLTeu3GLcW+ryMWXGLhzBY/8nTB0y05Lx36pyjR/oM7gbtnY2XLt8g0E9RhIa+uKjyyVPkZxxM4aSK08OtFotG9dsZcGs31WoCVSs/j09B3fG1taWfy7fYGivMbx4S10+VC5TFgdWbl9Eg6otCHoabMkqmOnylcS2RjPQ/3tO85n3lnPaN9jV/fecZjIRuXkBJt/bkCQZds4d0GbOgRIZgeHvAxiO71ClHgC6Qo7YObdCo7fB6HuHiFUzIOKNc1rm7Ng18kCTJLouEWtmY7p/E4BkY1egBD0xl43c543h1AFLViEGXZHS2Lm0ia7Pw9tELJ8OETE/49osObBr0hlNkmRgMhKxcham+zdilLHvOAQl6Akv1861YPqYHKs64u7VChtbG+5cvcPMfjMIDw3/qDLJUyWny9gu5CyUi5dhEexZt4etS7aqVJP/KIrC4NFTyJs7B22aNYp1/OCRE0yft5ioyCjy5cnJyIE9SZ4sGUajkUmzFvLX8dMYjEZa/9yQpm51VaiB+FwsNiQyNDSUESNGUK9ePVxcXGjZsiWXLl0C4MWLF4wYMYIaNWpQv359mjVrxtGjR82vvXnzJs2bN8fFxYWmTZty5cqVz5bT39+fDh06xPl1HTp0wN/f/zMk+nRPg4IZOmEW00d6sXXZHLJlyci0BUtjlDlx5gL/W7mR36aMZMOi6VRwKsUvk+cAMOHX/5E0iT2blsxi5ZwJ/Hn8bw4cOalGVaLrMulXpv3Sjy2/zyRb5oxM/21FjDInzlzkf6t9WDh5OOsXTKZC2VKMmDofgC27D3Hnvi/ev01h/cLJnDp/mV2Hjr7tR1lG0pTYNehCxMrJhE/vgemZP7Y1m8csY2OLfZshRB3eRMSv/Ynavx67Jp4A6EtURJs+C+Ez+xA+qy/anIXQFXFSoSJAspTYNfUkYul4wiZ2wfT0EXZ13WOWsbHFvuMvRO7fSPi0XkTuWYN9894ARCydQPi0XoRP68XL9b+iRLzgpfd8FSoSLXXaVAye2p+BHYfzU8VWPLzrR5dBHT+6TMd+bQn0C6RFtba0rdOZBu4uFPmukBpVMecc3PEXfq7YCt+7vnQe1CHOZZp1bkqxskUtGf2d0qZLzfgZw+nWth81yzXk/p0H9B3aPU7leg3szCPfAOpWbEqDH1vyc+tGlHC0fP3SpEvN6BlD6Nl2IPW+b8KDuw/pPaRLnMvVb1yb3zfNJ2NmB0vGjylpCuzcuhCxagrhM3piehYQ3Xh7nY0t9q2GEHV4MxFzvIg6sAG7RtHnNNvarVEiIwif2YuIBYPR5SuBLl8pFSoCmuQpsW/ek/D/jePFGA9MTx5h59w6ZiEbO5J0GUXk3g2ETexB5M7V2Lv3jX69Q1YICyVsoqf5S83GmiZ5Kuxb9iZ8wWhejOiA6fEj7FzbxCxkY0eS7mOI3L2esHHdiPxjFfZt+scoYlujEbrcRSyYPLaUaVPSY3JPxnUaR+cqHjy694jWA1p/dJn2wzsQ/iKCrtW60Ne1L99VdqR0tdKWr8hrbt65RzvPgew+8Odbjz99FsTQMVOZPmYIW1f/RrYsmZg2dzEA6zb9wd37D9m4bB6rf5vB8rU+XLh8zZLxxWdmkQabyWSiQ4cOpEqVCh8fHzZt2kTXrl3p0KEDz549w8PDAxsbG7Zt28bmzZsZMmQI/fr14/jx4wAMGTKEDh06sGnTJnr27ImXl9dny5oxY0YWLlwY59ctXLiQjBkzfoZEn+7IybMULpCH7NmyANC0fi227TkUY6LmpWs3cfquGJkc0gNQvUI5Dhw9SVRUFJev3cS5RmV0Oh02NjZUdHJk98Ej6tTl1DkK589D9myZ/61LTbbtPRyjLpev38SpVDEyZUgHQLUfynLg2CmioqIwmUyER0QQGWUgKiqKqCgDdja2qtQFQJe3GMaHN1GePALAcHwX+uIVYpbJUxzliT/Gf84AYLxyiohVU6MParVgawd6PehtQKcHQ5RF6/CKPl9JTPdvoDz2AyDqyA70JSvFKKPLVxLlySOMV08DYLx0gohlE2N+I50e+5968nLTIpTgxxbJ/jZlKpXmyrlrPLj9EADvpZuo6Vbto8tMGzaLWSOj7z6nz5gWG1sbQkNi95hYQplKjjFybly6mR9j1eX9ZUqWK45TlTJsWrbFcsHf44fK5bhw9jJ3b90HYOWS9dRvVDtO5UYNmsT44dMByJAxPbZ2toSGhFqmAq8pX7ksF89c4d7t6Iyrf/embsNacSqXIWN6qtauRMemnpYL/ha6PMWjz2lP/z2nnXjHOe2pP8br/57Trp4iYs206GNZcmI4ewgUBYxGjNfOoCuszk0oXYFSmO5dRwn0BSDqz+3YOFaOUUZfoCSmx34YL58CwHDhOBGLJ0S/PmdBFJOJJD0mkNRrFra1fgKNeksH6AqWwnT3n//qc2grNqWrxCijL1QKU6AfxkvRN2UN548RsWjsf98jb1F0hb4j6vA2ywV/i5IVS3H93HX87kTX5Y9l26nkWvmjy+Qpmof93vsxmUwYogyc3HeS7+t8b8kqxLJ6w1YaOtfkxyoV3nr8yIm/KVwwH9m/yQpAU7d6bNu1H0VR2HPwCK51f0Sv15EqZQpqVa/Elp37LBlfNYqiWOxLTRYZEnn8+HH8/Pzw9PREq40+WTk5OTFu3DiOHj2Kr68vS5cuNQ9LK1SoEJ07d2bOnDmULVuWxo0bU6FC9D/g/Pnz4+fn996f9+LFC0aOHMn169cxGo106NCBevXq4e3tzYEDBwgKCiIgIICffvqJhw8fcuzYMVKnTs1vv/1GYGAg7u7u7Nu3jy1btvDbb7+h0+nIli0bkyZN4tmzZ/Tt25ewsDC0Wi1DhgyhRIkSVK1alaVLl5IlSxbGjh3L0aNH0Wg01K9fn44dO3L8+HHmz5+Pvb09N2/eJH/+/EyePBlb28/fWHgU8JhMGdKbH2fMkJ7QF2G8CAs3DyUsVigvK7y34vsogCyZHPD5Yy9RUQaCQp5TtFBetuw+QMmiBYmKjGL3oaPo9brPnvutdQl8Ym6IRdclXay6FC2QlxUb/8DXP5AsGTPgs3P/v3UJxaVmZXYdOkq1ph0xGo2UdyxO5fKOqtQFQJsqfYxGiRLyBI19UrBLYh5CpE2fGSU0CFu3zmgzZ4fwF0TuXI4CGP4+gK5IOZJ6zQetDuP1c+bGkKVpUqdHCXqtLsGPo4fUvF6XDFlQngdh17gb2iw5UcJfELltSYzvoy9THVPwU4wXj1kyfiwZs2QgwDfA/DjQL5DkKZOTNHlS8zDBD5UxGk0MnzmIKnUrcXDHYe7dvG/xegA4ZHH4YF3eVyZpsiT0GNmNPs29cGnhbPH8b5Mpa0b8Hj4yP37kG0CKlMlJnjxZjGGRHypnNBqZPGcUtZyrsXv7fm7duGvRegBkzpKRR77/jdDw/zdjsuTJYgx3fF+5QP/H9Gw7wKK530abKh1K8H9DAN96Tkv37znN1QNtpuwQ8YLInStQAOODG+hLVCTy3jXQ69EXLotiNKhTl9TpMT177ZwW9O85zT6JeVik1iFr9DntZ090WaPPaS83Rfd6aLQ6jNfO8nLLEtDpSdppOEpEGFEHNqtRHbRp0mN6Fmh+/F99kpqHRWodsqKEPMOuRc//6rNxEQCaVGmxa+xB+Owh2FSoo0odXsmQJT2P/f57bx77PSZZymQkSZ7EPCzyfWWunblGlQZVuHLqMja2NpSvXR6jwWjxerxucJ/o3vIjJ/5+6/FHAY/J5JDB/Pi/a7kw/AMCzTfcXx3758btzxtYWJRFbvVcvnyZAgUKmBtrr1SqVAlfX1+KFCkSaw5R6dKluXDhAgANGjRAp4tuIMycOZPq1au/9+fNnTuXwoUL4+3tzYoVK5g3bx7370dfKF24cIE5c+awaNEixo0bR8WKFdmyJfqO8eHDh2N8n+nTp/O///0Pb29vsmbNyq1bt1i/fj2VK1fG29sbT09PTp+OeXG8atUq/Pz82Lx5M+vWrWPXrl0cOHAAgDNnzjBs2DD++OMPfH19+fPPt3d7JzSTYnrrHK3X34/vihWmc6um9Bg6niYd+6DVakiVMgU2ej39OrdBg4bG7XvjOWQc5RyLY6NXZ/qjYvqYuhSic8vG9Bw2kaad+6PVaEiVIjk2ej1zl64jTaqUHFz/G3tWzyc4JJTf16rzxxMAjYa37vloMv33/zo9unwlMZzcTcScAUQd+wM790Gg02NTtTG8CCFsXAfCJnigSZoc/fcqzS/UaKLvir9JeaMuBb4j6vguwmf0Ieqvrdi3GxbdM/gv24r1idq71gKB30+r1b71jprJaIpTmRGeY6ld1IWUqVPStpd7rLKWoNVq3vrWxKzL28toNBp++XUIM3+Zw5OAp58xZdy8K6/RZIxzub5dhlKmQDVSpUlFt75xHxL/qTRazdv/Hb1Rl48tpyqNlree1GKc03To8pbEcGoPEfMGEnVsB3YtB4JOT+SOpaAoJOkyAftm/TDePA9Gleqn0fAxddEX+o6oIzsIm9yLqENbSOLxC+j1RB3dycsN8yHyZfSNtv0+6IuVs1T62DTad/y9ee33q9OjL+JI1J9/EDahB1EHNpOky0jQ22DfdgAv1y9ACXlmscjvotG847Pw2jntfWX+N3oRKAoz/pjJ4N+GcPbPsxii1Lkx8LFMJhNvm26v1eowKcob10YKOt3XsRC8CcViX2qyyFW3VqvFzs7urcc0Gg3Gt5yMo6KiYvzjUxSFiRMncu7cOZYuXRqr/OuOHDlCREQEGzZsACAsLIzr168DUKpUKZInT07y5MkBKFcu+uSZNWtWQkJCYnyfKlWq8PPPP1O9enVq1qxJwYIFCQsLo3v37ly5coVKlSrRokWLGK85fvw4bm5u6HQ6kiRJgrOzM0ePHqVq1arkzZuXTJmiF1XInTs3wcGWmRCe2SEDF65cNz8OePyElCmSkzSJvfm5F2HhlC5ehIZ1awDgH/iEWf9bRaqUKXgU8Jg+Hq1IlTIFAAuWr+PbrJktkv1NmRwycP7q63V5+ta6OBYvRIM60cO5/AOfMHvxalKlTM7eP48zsFs7bGxssLGxof6Pldl96CitmtS3eF0ATEGP0X+T1/xYkzItSlgoRL00P6eEPMUU+BDTg+hJ38Yrp9C4dUaTNiP6wmV4ueV/YDSA0YDh74Poijhh+Mvyk6eVoEA03+b7ry6p0qGEPY++WHm9LgH3Md37J7oul06gadwNTbpMKAEP0GbJGd1TePOixfO/6dFDfwqVLGh+nCFTBkKehRARHvFRZcpWKs3Nq7d47P+E8LAIdm/aS5U6FS1ah/9yBsTImf6tdXl7mRz5spMle2Y8h3cGIG2GtGh1WmztbBjfb4rlKgH08PKgWq3o32Hy5Mm4duW/hRAyZs5A0LNgwsMiYrzG98Ejipcq8tZyP1Qpxz+XrxPg/5iwF+Fs9d5JzXpVLVKXbv07UqVm9MiRZCmScf3KTfMxh8wZCH5LXfwe+FPstbq8q5yaTMGP0WfLY36sSfG2c9qzmOe0q6fQuHqgSZsRIiOI3LUcwqN7Fm0qupmHV1qa6Vkg+hz5zY81qdKhvIh5TjMFP8Xk/wDT3ehzmuHCcex+9kSbLhPab/Niengbk++df7+BRr3GJ2B6FhCzPqnTx65P0BNMj+5juhM9/8lw/hh2zXui/SY32vSZsGsYfUNDkzINaHVgY8vLFTMsWxEg0DeQfCX/q0u6TOl4HvScl+EvP6pMyjQpWTx2MaHB0UOgG3dtbB46+aXKnMkhxry0gMePzdc/mTNmIODxk9eOPSXjayOrhPWzSPO7SJEiXL58OdadjqlTpxIREcHFixeJioo57+bs2bMUKRL9h8lgMNC3b18uXLjA0qVLSZEixXt/nslkYtKkSWzatIlNmzaxdu1a85BKGxubGGX17+kpGjJkCDNnziRVqlT069ePTZs28d1337Ft2zZ++OEHtm/fjoeHR6yf/TpFUcwN0tcbre+68/M5lC9dgnOXr3H3QfTJaM3mnVT9vkyMMgGPn9Km5xBCX0QPi1iwfB11qlZAo9GwZvMOZv9vFQCPnwbhvW0Pdaqrc+FZ3rE45y9f5+6D6GGxa7fsokr5mBOFA548pU3v4ea6LFzpTe2qP6DRaCiYNyc7/51/F2UwcODoSYoVyodajDfOofsmr3l1RH2ZHzFcibmgi/Gfs2jTOKDNkgsAbY6CoCgozwIw+t5GX7R8dEGtDl1BR0z3/7FoHWLkzJ4fTfroxryNUy0Ml07ELHP1NNq0GdFmzQ2ANlchFBSUp9HDvHS5i2C8ccGywd/hxMFTFClVkGw5o+cLuLV05tCuvz66TDXnyrTr3QoAG1sbqtWrzOm/zliwBjFzFn4j5+FdRz6qzKXTl2lQ+ida/9iR1j92xGfZFvZtPmDxxhrAjAnzqF+lGfWrNKNR7daU+K4o2XN9A8DPrRuxd8fBWK/588Cxd5ar41Kd7v2iF4mxtbWhtkt1jh62zIJKsycuoGG1ljSs1pJmddpR7LsifJszOmPTVg3Yt+NwrNccOXj8o8qpyXxOS/vqnFYDw9U3zmnXz/x7TssJgDb7f+c0fekfsa3aNLpgslTov6uK4bxlRqO8yXj1DLrs+dFkiJ7/bfNDHQwXYg7VNl4+FX1O+yb6nKbLXRgUBdMTf7SZs2Nbp3l0z5aNLTYV6mH4W733y3j5b3Q5C/xXnwp1MJw/+kaZU9GNzW+iG926PEUABdP9m7wY7E7YuG6EjetG1J/bMZw+qEpjDeDMoTPkL5mfzDmi61K7RR2O7zr20WVqtahN8z7RN9xTp0/Njz/X5KBP7PPHl6R8mVKcu3SVu/ej5xmv2bidqhWiOx2q/ODExm27MBiMhDwP5Y89B6laUcXeXAuSOWwJyNHRkXTp0jF79my6dOmCTqfj8OHDeHt74+Pjw5kzZxg7diyDBg3CxsaGixcvMnfuXKZMib4gmDBhAqGhofzvf//7qDlfTk5OrFq1itGjRxMQEICrqyurV8dtOW2DwUCdOnVYtmwZnTp1IioqiitXrnDt2jUyZsxIq1atKFu2LG5ubrF+to+PD1WqVCEyMpItW7bEatRZWro0qRnt1Z1ewycSFWXgmyyZGDeoBxev3mD4pNlsWDSdnN9mpV2zBvzcuT+KYqJk0YIM7hF9IdOheSMGjpmGa2tPFBS6tvmZogXyfuCnfq66pGJU/670HjGZKIOBbzJnZOyA7ly6doPhU+axfsFkcn6TlXY/u9Gs20AUk0LJIgUY5NkOgP6d2zB21m84t/ZEp9VStlRR2jZ1UaUuALwI4eWGOdj93AeNTo/pqT8v189GmzUXtm6diZjdDyU0iIgVE7Gt3x6NrR2KwUDEyslgiCJy2xLsnNuRpOd0MJkw3rxA1GF1hngqocG8XDMzenl+nR7Tk0dErJqONlse7Bp3JXxaL5TnQYQvGYtdQ4/oxVIMUUQsGW9eKEWTPgump1/GaqvPngQxuvdExi4YgY2Nnod3fRnZYxwFiuVj4OR+tPqxwzvLAMwcOYf+43uzfO//ADi04zBrftugSl2CngQxtvckRi/4xZxzVI/xFCiWjwGT+9L6x47vLPOlevr4GQN6jGDWoonY2tpw784D+nUdBkCR4gUZO30o9as0e2+5ccOmMXLyILYdWgPA7u0H+H3BKlXqMqTHKKYvGofeRs/9uw8Z1G0EAIWLF2Dk1ME0rNbyveW+GC9CeOk9F7ufe/93TtswG22WXNi6ehAxpz9KaDARKydhW++1c9qq6HNa1KGN2DXqTpJuk0GjIXLfWkwPb374534G0TlnkKRt9HBN5bEf4cunov0mD/Y/R6/6qDwPIvy30dg37gK29mCMil6kwxAVvcJiYw+SDpyNRqsn6uyfRB3dqUpdzPVZNo0kHQaDXo8S6Ef475PRfpsX++Y9CBvXDSXkGeHzR2L/U1ews48+Ry8YrdpiVu8S/CSYGX1nMHDeQPQ2eh7d82Nqz6nkKZaH7hM86VHb851lANb/uo7e03sze/evaDSwYspyrp+//oGfankXr/zD8PEz2PD7r9HXcoN60WvImOhruayZGTc0ekXSpm71uP/Qj4atuhBlMNDYpTalSxZTOb1ISBrFQk3Gp0+fMm7cOC5evIherydNmjQMGDCAQoUKERERwbRp0zhw4AA6nY5UqVLh6elJuXLlePr0KT/88APZsmUjSZIk5u+3adOmd/6s0NBQfvnlF65evYrRaKRjx464ubnh7e3NiRMnGD8++iIkf/78XLsW3b08YMAAypQpQ5kyZcyLjmzdupW5c+diZ2dHunTpGD9+PJGRkfTp04cXL16g0+nw9PSkcuXK5kVHMmbMyIQJEzh27BhRUVE4OzvTrVs3jh8/zuzZs1m2bFmMn9egQYOP+v1F+X2+rQzUoNYk8s8hau5ItSMkKOVlpNoREkyNVSEfLmRFtKi3X2BCC4hUZ4+wz8VWm3i2NT3RMbvaERKUKTjsw4WshcoLYyS0ZlvVWcDsc/D+W/29KROSTfpcakf4KMmT5rTYzwoNU28hF4s12MSnkQbbl0sabF8uabB9uaTB9uWSBtsXTBpsXyxpsKnja2mwWe1fmCVLlrBx48ZYzzs4OMRrHzUhhBBCCCGE9VBUXr3RUqy2wda6dWtat26tdgwhhBBCCCGE+GystsEmhBBCCCGE+HqZvpKZXV/HrnpCCCGEEEIIYYWkh00IIYQQQghhdb6WtROlh00IIYQQQgghvlDSwyaEEEIIIYSwOl/LKpHSwyaEEEIIIYQQXyhpsAkhhBBCCCHEF0qGRAohhBBCCCGsjiw6IoQQQgghhBBCVdLDJoQQQgghhLA60sMmhBBCCCGEEEJV0sMmhBBCCCGEsDpfR/+a9LAJIYQQQgghxBdLo3wtgz+FEEIIIYQQwspID5sQQgghhBBCfKGkwSaEEEIIIYQQXyhpsAkhhBBCCCHEF0oabEIIIYQQQgjxhZIGmxBCCCGEEEJ8oaTBJoQQQgghhBBfKGmwCSGEEEIIIcQXShpsQgghhBBCCPGFkgabEEIIIYQQQnyhpMEmhBBCCCGEEF8oabAJIYQQQgghxBdKr3YA8WW4fv06wcHBKIpifq506dIqJvq6/fXXX1y/fp3ixYtTsmRJteOIRC4qKooVK1Zw7Ngx9Ho9FStWpHHjxmg0GrWjffUCAwPJkCGD2jESzK1bt7h58yaFCxcmS5YsaseJM39/fyZOnMj169cpUaIEffv2JWXKlGrHEomcwWDgzz//JCgoKMbzrq6uquQRlqdRXr9CF1+lESNGsH//fr755hvzcxqNhqVLl6qYKm4GDhz43uPjxo2zUJJPN336dDZt2kTRokU5c+YMnTt3plmzZmrH+mQhISFs2bKFoKCgGDcGunXrpmKq+Hn69CmbN2/mxYsXKIqCyWTiwYMHTJw4Ue1o8eLl5UVERAQuLi6YTCY2bdpEpkyZGDx4sNrR4mXt2rVMmzbNfHGjKAoajYYrV66oGyweatasSfbs2XFzc6NatWrY2tqqHSneVqxYweTJk8mVKxf3799n1KhR1KxZU+1YcdKuXTvy5ctH2bJl2blzJ2Bdf1/ex9vbmwkTJhASEgJY9+fG19eXUaNGcezYMWxsbKhQoQKDBw8mbdq0akeLlx49euDr60vu3Llj3EhLLP/2xIdJD5vgr7/+YseOHdjb26sdJd7KlCkDwP79+3nx4gX169dHr9ezfft2UqRIoXK6uNm5cyfbt28nSZIkPHz4kO7duyeKBluPHj1IkSIFefPmtfqem549e5I5c2bOnj1L9erVOXDgAEWLFlU7VrydO3eOHTt2mB9XrVqVevXqqZjo08ybN4+lS5eSN29etaN8sp07d3Lq1Ck2btzI5MmTqVSpEm5ublb5723lypXs2bOHdOnScfXqVYYPH251DTZ/f38WLVoEwPfff5+oejjmzJnDsmXLyJcvn9pRPlnfvn2pU6cOkyZNQlEUNmzYgJeXFwsXLlQ7Wrxcu3YtxjlafH2kwSb45ptvsPaOVjc3NyD6gmDNmjVotdHTM2vXrk2TJk3UjBZndnZ2JEmSBICsWbNiMBhUTpQwHj9+zOLFi9WOkSACAgJYunQpEyZM4Mcff6R9+/a0atVK7Vjxli1bNu7evUv27NmB6PcqY8aMKqeKv3Tp0iWKxtorjo6OFClShB07djBt2jT27dtH2rRpGTZsGCVKlFA73kezsbEhXbp0ABQoUICwsDCVE8WdjY1NjP9//bG1c3BwSBSNNYDQ0FBatGhhfty6dWu8vb1VTPRpcufOTUBAAA4ODmpHESqRBpsgVapU1K1bl5IlS8YYbmONXe3Pnz8nKCjIPOzh8ePHVndR8Gbvk06nUylJwipYsCBXr16lQIECakf5ZKlSpQIgZ86cXL16leLFi6uc6NMYDAZcXFxwdHREp9Nx+vRpHBwccHd3B7Ca4dE+Pj4AZMmShc6dO1OtWjX0+v/+zFljb8jRo0fx8fHhyJEjVKpUiWnTplGqVCmuXbtGhw4dOHTokNoRP9qb57bX3xtrZe2jBV5XuHBhPD09+f7777GzszM/b42fm5IlS7Jp0yZcXFwAOHDgAIUKFVI5VfxFRERQq1Yt8uXLF+M6zVrOzeLTWf/ZUnyyChUqUKFCBbVjJAgPDw/q169PqVKlUBSFs2fPMnToULVjxUlgYCCzZ89+52NrnPMF0QvbuLm5kS5dOuzs7MzzI/bu3at2tDhzcnLC09MTLy8v2rZty6VLl6x6SHGXLl1iPG7Xrp1KST7N8ePHAUiaNClJkybl9OnTMY5b44Xn7NmzadiwIb/88ou55x0gf/78tG3bVsVkcRcUFGRuVL/tsTW8P9evX6datWpA9ByvgIAAqlWrZtXns1dCQ0NJliwZZ8+ejfG8Nbwvb9q9ezdr1qxh+PDhaDQawsPDgeibOtY4L69Tp05qRxAqk0VHBAD//PMPJ06cwGAwULZsWQoWLKh2pHgLCAjgzJkzaLVaSpUqZR6CYy1eb5y9jbU22B4+fPjW57NmzWrhJAnj3r17fPvtt1y8eJFTp05Rp04dqxuucvLkyfcet9aVYv/66y++//77GM/t2rWLH3/8UaVE8Td//vxYF2tTp06ld+/eKiWKv8SwONS7zmOvWOv57JWoqChu376N0Wgkb968iaIXNLE4ePAgx44dM1+nVa9eXe1IwoKkwSbw8fFh9uzZVK9eHZPJxN69e+ncuTONGjVSO1qchYeHM3v2bI4ePYrRaMTJyYkePXqQNGlStaN99RRFYdWqVeY/OE5OTrRo0cI839CadO/enVmzZsV4rlWrVvz+++8qJYqfli1bAtE9Hffv36dkyZJotVrOnDlDvnz5WL16tcoJ42b79u1ERkYyc+ZMPD09zc8bDAbmz5/P7t27VUwXN5MnT+bJkyfs27ePqlWrmp83GAycP3/evEKhUMc///zDrVu3sLe3J3fu3DFWWbZWFy9exNPTk9SpU2MymXj8+DG//vqrVQ75Tmwr+S5cuJBdu3bh7OyMoihs2bKFatWq0blzZ7WjCQuRBpvAxcWFJUuWkCZNGiD6ROfu7s7WrVtVThZ3AwcOJEmSJOaFRtauXcvz58+ZNGmSysniZsOGDaxYsYLbt29jZ2dHnjx5aN68ObVr11Y7WrxNmDCBu3fv0rBhQxRFwdvbm6xZs1rV0vHdunXjypUr+Pv7x1iUw2g0kilTJqtr4LzSoUMHhgwZYl505OHDhwwbNsy8Gp61WLduHX///XesRo5Op6N8+fLUqVNHxXRxc/78eW7evBmr8anT6ShWrBg5cuRQL9wnOHr0KKtWreLWrVvmc1uzZs2splHw5MkTPD09uX79OtmzZ0ej0XD79m1KlCjB1KlTrW5V4tf99NNPDBw40PxenD17ltGjR7N+/XqVk8Wdu7v7W1fyHT9+vNrR4sXZ2Zl169aZh96Hh4fToEED/vjjD5WTCUuRvm6ByWQyN9YA0qZNa7UTqS9dusTmzZvNj4cNG2ZVF2kQvVfR6tWr6dKli3nFrmvXrjFv3jyCg4P56aefVE4YP3/99Rc+Pj7mHrXKlSvj7Oyscqq4GT9+PEFBQYwZM4YhQ4aYn9fr9VY39PZ1vr6+5sYaRC/a4evrq2Ki+GncuDGNGzdm0aJFVjsP75VixYpRrFgxatSoQfLkydWOkyC2b9/O+PHjcXd3p2HDhmg0Gq5du0bPnj0ZOHCgVQxZnTJlCt999x1LliwxrxAZGRnJrFmzGDNmjNU2CADCwsJiNJxLlCjBy5cvVUwUf4ltJV9FUWLMk7azs5Phql8ZebcF+fPnZ8yYMeYhkOvWrbPalfwURSEkJISUKVMC0Zs1W9sqi6tXr2bp0qUxGtG5c+fG0dGRTp06WW2DzWg0YjAYzCtcGY1Gq3tv7t69S+HChWnTpk2sBs29e/esds5X4cKF8fLyonbt2ubhNo6OjmrHircjR46watUqnJycqFy5Mt9//32MBTusgZubGxs3bsTR0THGDTRr3sz4t99+Y8WKFTGGD1asWJEaNWrQr18/q2iwnTlzJlavhq2tLb179zavSGitUqVKxZ49e8xzo/bs2UPq1KnVDRVPiW0lXycnJ7p3727ewsjHx4eyZcuqnEpYkjTYBKNHj2bWrFkMGjQIRVFwcnJi+PDhaseKl9atW9O4cWOqVKkCwL59++jYsaPKqeJGq9XGaKy9Ym0LWrzJ2dkZd3d36tatC8C2bdvM/28tVq1aZf68vEmj0VjtEsujR49m+fLl5iGd5cuXt+rN2hctWsTLly85duwYhw8fZty4ceTKlcuqNs3duHEjAFevXlU5ScKJiop661yvHDlyWM1+k68vd/86jUZjlfNxXzdy5Ej69+9vHqb+zTffWO2cr8S2ku/gwYNZtWoVPj4+5uu0pk2bqh1LWJA02AQ2NjaUKlWKfv368fTpU/bt20eyZMnUjhUvVapUoWjRopw8eRKTycSsWbPInz+/2rHixNr/6L+Lh4cHhQoV4ujRoyiKgoeHB5UrV1Y7VpyMHj0agGXLlgHRi3XodDqrnrcC0fsV1qpVi1q1agHRF58hISHm/QytzdOnTzlx4gQnTpzg1KlTpEqVijx58qgdK17u3bvH2bNncXZ2Zvjw4Vy6dIkRI0ZQpEgRtaPFWWIYwvW+6QLWOpXglZw5c7Ju3TrCwsIwmUxWPRS3V69e3Lt3j6xZszJ16lROnjxJ165d1Y4VZ4GBgWTIkAE/Pz8qV64c429mQEAAWbJkUS+csCjrP3uKTzZkyBBMJpN5b5njx49z/vx5Ro4cqXKyuGvevDl//PGHee6XNXpz37U3j1mbS5cuUbhwYU6ePEmSJEliLAZx8uRJqxxGePXqVfr374+/vz+KopArVy4mTpzIt99+q3a0eOnatSvXr18nX758KIrC9evXyZAhAzqdjlGjRlGuXDm1I8ZJ+fLlSZ8+Pe7u7ixbtsw8PMoaDRw4kMaNG7N3715u377NwIEDGT16tFUucPPmvmuvKIpCcHCw5QPFw+v7sL1OURSrPD8DDB06lFGjRtGyZcu3NjqtceTAP//8w9y5c5k2bRr29vbs2rWLihUrqh0rzoYMGcL8+fNp0aKF+b15tVagte/7J+JGGmyCixcvsmXLFiB6wZFJkyZZ3WIQrxQoUAAfHx+KFSsWY/iDNd2Fet8cNWucv/ZqGOHMmTNjHbPWYYSDBg2iV69e5qG3u3fvZsCAAaxcuVLlZPGTMWNGRo0aZe61uXbtGrNnz2bQoEF069aNDRs2qJwwbv744w+OHTvG8ePHcXd3J0+ePJQtW9a8eqw1efnyJa6urgwePBhnZ2ccHR2JjIxUO1a8ODk5mTc3f5O1zMdJjNspvBpa1717d5WTJJwhQ4aY9yzNnTs3Xbt2NQ8rtCbz588Hoqd3iK+bNNgEJpOJgIAA8xypJ0+eWO2wvHPnznHu3LkYz1nbXahu3bqxYsUKHBwcqFGjBo0aNeLp06fo9XqrmoPzyqthhEOHDo3V83n27FkVEn06RVHMjTWAGjVq8Ouvv6qY6NM8fPgwxhC7/Pnzc+/ePTJnzozJZFIxWfzkzJmTnDlzUrJkSY4cOcLq1au5cOGCVTbYdDodO3fu5MCBA/To0YM9e/ZY7fnZGjbG/pBXG2NHRUVhY2PD2bNniYqKQqvV8t1336mcLn5effZ37tzJ0KFDYxzz8vKiTJkyasT6JOHh4TF61L7//nur297ndefPn+f06dM0b94cDw8PLl++zMSJE62y11DEjzTYBB4eHri5uZn/2Jw7d86q9sZ6XWK4C7VgwQKOHj3KsGHDgOg77MuWLWP//v3Mnz+fsWPHqpwwbk6fPo3JZGLIkCGMGTPGPJzDYDDwyy+/WOUd6/LlyzNnzhyaNGmCTqdj+/bt5M6d27xypDX16EL04gKTJ0/GxcUFk8nE1q1byZ49O2fOnLHKxkGvXr34+++/yZkzJ5UrV2bevHnkypVL7VjxMnLkSJYsWcKwYcNwcHBg27Zt5psg1ujgwYPY29tTtmxZPD09zfNAJ02aRPr06dWO90H+/v5069aNOnXq0KZNG3r16kW2bNl4+PAhAwYMsIqVLt80ePBg7t+/z8WLF7l+/br5eaPRSEhIiIrJ4i9t2rSsWrWK+vXrA9FbSljz1iujR4+me/fu7Ny5Ezs7O7y9venevbs02L4isnG2AKL/CJ09exa9Xk/RokXNvW379++P0ZPwpfP19WX06NEcO3YMvV5PxYoVGTRokFUtnlC7dm3Wr19vXvjF1dUVHx8fjEYjNWvWZM+ePSonjJtZs2Zx4sQJLl68GKMXR6/XU6FCBdq2batiuvh5fR7em6ytRxcgNDSUX3/9lb/++su8yXTnzp3Zt28fuXPnpnDhwmpHjJNdu3bx/fffoygKJpPJvM2HtQoNDeX58+e8/ufa2m4KQPSWMcuWLWPUqFEUL16cunXrMnz4cA4fPkxERIRV3Cjs0aMHZcqUoXnz5sB/5+erV68yZswY84JE1uTBgwc8fPgw1v6SOp2O3LlzW+XS/r6+vowYMYITJ05ga2uLo6MjQ4cOJVOmTGpHi5dGjRqxfv16+vTpQ4UKFXB1dTX/2xNfCUWI93B1dVU7Qpz8/PPPyrJly5Tnz58rwcHByuLFi5X27durHStO6tatG+Pxjh07zP9fv359S8dJMBs3blQ7goiHjh07qh0hzu7evas0bNhQKVOmjFK6dGnFxcVFuXXrltqx4mXu3LlKyZIllSpVqpi/qlatqnaseKlXr54SEBBgfuzi4qIoiqKEh4crP/74o0qp4ubNnK/qoCiKUr16dQunSXjPnj1TfH19lYcPHyr37t1Tjhw5onakBDdkyBC1I8RZixYtlEWLFinff/+9EhQUpPz+++9Ks2bN1I4lLEiGRIr3UqysAzY0NJQWLVqYH7du3Rpvb28VE8WdyWQiNDTUvKRyzZo1AXj+/LlVDk97pUSJEowePZqwsDBzz8eDBw9YsWKF2tHi7M6dOyxfvjxR1OVD/P391Y4QZ8OHD6d9+/bmbQq2b9/OsGHDrLL3Y/369ezZs8eqRgm8i6IoZMiQwfy4YcOGANjb279zf7MvzZvn4HXr1pn/39o2Z3/TrFmzWLJkCQaDgdSpUxMQEECRIkVi1DExuHjxotoR4mzy5MmsW7eOmTNnkipVKvz9/ZkyZYrasYQFWe/Vn7AIa9tXpmTJkmzatMn8+MCBAxQqVEjFRHHn7OyMl5cXoaGh5udevHjBoEGDzOPxrVHv3r1JmTIlV65coWDBgvj6+pI3b161Y8VLYqrLh1jbOQDg2bNn5sYaQJ06dQgKClIv0CfInDmzVW9L8LqoqKgYK1y2bNkSiJ6nay03B9OnT8/58+fNj21sbIDoRSGsYQ7e+2zcuJGDBw9Sp04dli1bxty5c0mTJo3asQSQJk0aqlevTqlSpdiyZQsmkwlbW1u1YwkLkh42kajs3r2bNWvWMHz4cDQaDeHh4QD4+Pig0Wi4cuWKygk/rGPHjvzyyy9UqFCB3Llzo9FouHHjBi4uLrRp00btePEWFRWFp6cnBoOBQoUK0aRJE/MddmuTmOqSGNna2pr3/4PoO+rW2vuRI0cOmjVrRtmyZWNcoL1astyaVK1alTFjxjBs2DB0Oh0Q3es2YcKE984L/ZJ06dKFrl270rVrVxwdHdFoNJw+fZo5c+Ywbdo0teN9EgcHB5InT07evHm5evUqP/74o/TifCH69etHtmzZiIyMZNasWbi4uDBw4EDzsv8i8ZMGm0hUjhw58s5j1rKC5KvNirt162a+k1ukSBEyZ86scrJPkyRJEiIjI8mRIweXLl3C0dFR7UjxlpjqkhgNHjyY7t27kzp1avOmzNZ6MZ0xY0YyZsyodowE4enpSbdu3ahWrRrFixdHo9Fw/vx58uTJw+zZs9WO91HKlSvHtGnTmDt3rnmZ+GLFijFlyhRKliypcrpPkzx5cnx8fChcuDDLly/HwcGBiIgItWMJoheGmTFjBpMmTaJRo0Z07NhRbhJ+ZaTBJgDYsmULN27cwMPDg507d+Lq6gpY3xy295k1a5bV3MWF6Au1GjVqqB0jwdSvXx8PDw8mT55M06ZNOXz4sNVeiCamunyINZ4Dnj17xs6dO7lz5w4mk4mcOXNa7fChbt26ERYWxr1798iXLx8REREkTZpU7VjxkiRJEhYtWsSZM2fM+2W2aNHC6m54ODo6smjRonceX7NmjXkzamsyZswYtm3bhqurK/v372fYsGH06tVL7VgJzhrPaUajkadPn7Jnzx5mzZpFYGAgL1++VDuWsCS1VjsRX45JkyYpffr0UWrVqqU8f/5cadGihTJu3DhFURQlIiJC5XQJ5/XVvIQ6nj9/riiKovj5+Sm7du1SwsLCVE4Uf6/q8vDhQ2XXrl3KixcvVE70eSxevFjtCHFWp04dtSMkmCNHjijVq1dXqlSpogQEBChlypRRDh8+rHasz8baViZ+G2utg7e3d6znli9frkKST7dq1ap3HpswYYIFkySMzZs3K9WqVVPGjBmjKEr0aqXbtm1TOZWwJNmHTeDq6srGjRtxc3PDx8cHg8FA/fr12b59u9rREpSbmxsbN25UO8ZX50NDnaxxLs6xY8eYPn06q1ev5tatW7Rv357JkydTqlQptaPFSadOnZg/fz5Vq1Z96+Ii1raf3CseHh6kSZOG4sWLY29vb37+1cgBa9K4cWPmzJlDhw4d8PHx4caNG/Tu3ZvNmzerHe2zSAx7S1lbHZYsWUJoaCirV6/mp59+Mj9vNBrZsmWL1e39CVCvXj22bt2qdozPxmg0mueBiq+DDIkU5mWKX12wRUZGWvXy8UJ8bhMmTGDChAkA5MqVi4ULF9K/f382bNigcrK4GTVqFABLly6NMSz64sWLlC5dWuV08fdqZbtXw+5escYGm8lkirEUfp48eVRM8/lZ46qkb7K2OuTIkeOtS93b2toyfvx4FRJ9ukyZMuHu7k7x4sVjbBlhbTcIE+tNNRF30mAT1KpVi549exIcHMySJUvYvHkz9erVUzuWSCSs7Q/kx3j58iX58uUzP86dOzcGg0HFRPHj4OAAwOrVq3n06BGXL18mc+bMjBw5kmvXrjFgwACVE8bPuHHj1I6QYDJlysT+/fvRaDSEhISwYsUKsmTJonYskYhUrlyZypUrU7t2bXLnzg1E72nq5+dntduVlChRQu0ICeLVTTVr3ENSJCxpsAk6duzI4cOHyZIlC35+fnTv3p0qVaqoHSvevoYFVKxRgQIFYt0hdHBw4ODBgyolir9cuXIxadIkXFxc0Gg0bN26lRw5cqgdK97+/PNP87Do5MmTs3jxYurXr2+1DbYff/wRo9FofqzRaLC3tydXrlx4eXmRNWtWFdPFzciRIxkzZgx+fn5Ur14dJycnRo4cqXYskQj9/fff5tECrq6uJEuWDBcXFzw8PNSOFmeJZbGeVzfVMmTIwJ9//klISEiM49Z0LhOfRhpsAoAKFSpQoUIFtWN8ssmTJ/Po0SMuXbpEhw4d2LBhA1evXmXAgAGsWbNG7XhftatXr5r/Pyoqij179nD27Fn1An2CMWPGMGPGDPr06YNer6d06dKMHj1a7VjxltiGRVesWJFs2bLRqFEjADZv3syFCxeoWrUqgwcPZsmSJeoGjIN06dIxdepUtWMkiLCwsA9eNCeGG2spUqRQO0K8rFq1innz5rF161aqVavG4MGDadKkiVU22I4ePcqwYcMwGo2sWbOGevXqMWXKFH744Qe1o8VLhw4dUBQlVgPNGod5i3hSdckTIRKYi4uLYjKZzCtCRkVFKbVr11Y3lHin+vXrqx0hwXXs2FHtCHE2f/58xdPTU6lSpYqyePFixc3NTZk7d67aseLtbav0ubm5vfPYl6hKlSpK1apV3/lljV797ocPH/7OMtay8t3Ro0eVpk2bKoqiKDdv3lSqVq2qnD59WuVUn+bVZ6Rt27bKgQMHFEWx3hVXGzVqpAQEBJivBa5fv644OzurG+oTWHN2kTCkh00kKomtpyAxeX3VNEVRuH79Onp94jsF+fv7qx0hzhLbsGitVsvhw4fNowYOHz6Mra0tjx8/tpq5hsuWLUNRFH799Ve++eYbGjRogE6nY8uWLTx48EDtePESHh5O3759OXz48Fv3kBo3bhx16tRRIVncvbnw0IIFC6xy4aHX5cmTh06dOvHgwQPKlStHz549KVasmNqx4iWxLdbj5OTEkSNHcHJykmuar1Tiu1oSXzVZQOXLdfz48RiP06RJw/Tp09UJ8xlZ2wpxrySWYdEA48ePx8vLi379+qEoCt9++y3jx49nzZo1tGvXTu14H+XV0Kdr167FWESlbdu2NGjQQK1Yn2Tx4sUcP36c06dPU6ZMGbXjfJLEsvDQ68aOHcuZM2fIly8ftra21K9fn4oVK6odK14S22I9WbJkoW3btua/L4qioNFouHLlisrJhKVIg00kKomtpyAxGTduHAaDgWvXrqHT6cifP7/VNm7Ely1v3rx4e3sTHByMTqcjefLkAHTt2pVZs2apnC7ujh49Srly5QA4ePCg1e6/lDlzZlxdXSlQoAAFChRQO84nSWwLD0F0r9SpU6dYv349Q4cO5fLly1Y75+v1xXpq1KhB2bJlrXqxnrVr17Jv3z6rbnSKTyMbZwshLOLIkSP0798fBwcHTCYTISEhTJ8+3WqH3LyLbND+ZbO29+fy5ct4eXkRGBhoXnRg4sSJVj3EKzHsKRUcHMz06dM5deoUer0eR0dHPD09rXbBEYAhQ4aQNm1a9u3bx7p16xg+fDgmk4nJkyerHS1eDAYDV69eRa/XW/0NwlatWjF37lyrXOlSJAzpYRNCWMTYsWP57bffzHfWL1y4wPDhw/H29lY5WcKSe2BfNmt7fwoVKsSWLVt49uwZGo2G1KlTm4/NmjWL7t27qxcunl7fU8pgMLB7924iIyNVTBR3qVKlYvjw4WrHSFCXLl1i48aNHDp0iCRJkjBhwgScnZ3VjhUvf/31F15eXonmBmHq1KmpV68epUqVwsbGxvx8YtpzUryfNNiEEBZha2sbYxhU0aJFVUzz+cgyy182a73LniZNmljP7du3zyobbG8uTd6+fXsaNGhAly5dVEr08V710L65r2RimFOk0WiIjIw01+vVTQJrNG7cuER1g/DV5ubi6yUNNiGERTg6Opr39dHpdGzbto2sWbNy8uRJAEqXLq1ywg/r1KkT8+fPf++QrtatW1s+mPgqWVtv4SuvPvPw34qxb1s18kv0ajitj4+P1c/De5O7uztt2rQhMDCQMWPGsGfPHrp27ap2rHhJbDcI3dzcePDgATdu3OCHH37Az8+Pb775Ru1YwoJkDpsQwiJatmz5zmMajYalS5daME38BAQE4ODgwIMHD9iyZQs3btzAw8ODixcvUrp0abJly6Z2RPEB1jaH7X2stS6vnws0Gg1p0qShffv2VnVRXbt2bf744w+1YySop0+f8vTpU44fP47RaKRMmTJW2ygdO3YsL168iHGD8MGDB7i7uwPWcYPwddu3b2fu3LlERESwevVq6tevT//+/XFxcVE7mrAQabAJISwqNDQUk8lEypQp1Y4Sb5MnT+bRo0dcunSJdevW0blzZwoXLsyAAQPUjiY+oG/fvla7iMKbrLXBlhh0796d/PnzU7x4cezt7c3PW1tD4HWJqRGaGG4Qvs7NzY1ly5bRokULfHx8CAgIoE2bNmzbtk3taMJCZEikEMIi7t+/T69evbh//z6KopAlSxamT59ulUth//nnn2zcuBE3NzeSJ0/O4sWLqV+/vjTYvhC+vr6MGjWKY8eOYWNjQ4UKFRg8eDBp06ZNNI01a3b58mXmzZtHcHBwjGGd1nQRHRQUxPHjx2PsL2mNDYHXFShQAB8fH4oVKxajEWqNS8m/vrDNm2bOnGnBJAlDq9WatycBcHBwkA20vzLSYBNCWMSwYcNo3749tWrVAqKHeAwdOvS9f1i/VK/+UL6axxYZGSl/PL8gffv2pU6dOkyaNAlFUdiwYQNeXl4sXLhQ7WgJKnfu3GpHiBcvLy+aNm1K3rx5rXZRC2s8b33IuXPnOHfuXIznNBqNVW238DH279+Pp6en2jHiJG/evCxfvhyDwcCVK1dYuXKl1Q5XFfEjDTYhhEU8e/bM3FgDqFOnDnPnzlUxUfzVqlWLnj17EhwczJIlS9i8eTP16tVTO5b4V2hoKC1atDA/bt26tdWuDpcYewvt7e1jvD/W6NVcqFc0Gg329vbkypULDw8PUqVKpVKy+Nu3b5/aESzCGmcCDRs2jLlz52JnZ8egQYNwcnLCy8tL7VjCguSWsBDCImxtbbl06ZL58cWLF0mSJImKieKvY8eONGrUiJo1a+Ln50f37t3x8PBQO5b4V8mSJdm0aZP58YEDByhUqJCKieKvb9++fP/99xw+fJi9e/dStGhRq79Q++GHH1i2bBm3b9/G19fX/GVNcufOTf78+Rk0aBCDBg2iaNGipEiRgowZMzJ48GC148XL06dP6dmzJ2XLlsXR0ZFu3brx+PFjtWMlOGvs1U2aNCl9+vRhw4YNbNy4ES8vL/MQyU6dOqmcTliCLDoihLCIc+fO0atXL1KnTo2iKAQHBzNt2jSKFy+udjSRyJQvX56nT59iZ2eHVqslPDzcfMza9sqqX78+mzdv/uBz1qRq1aqxnrO2oXcNGjSI1WvbsGFDNmzYgKurKz4+PuoE+wTdunWjZMmSNG3aFJPJxJo1azh16hTz589XO1qCSmyL9VjrvzcRNzIkUgjxWfn7+zNx4kSuX79OuXLlcHNzI0WKFOTMmRNbW1u144lE6MiRI2pHSDCvegtfLd9tzb2FrySGoXdRUVFcv36dvHnzAvDPP/9gMpmIiIggKipK5XTxc//+fWbPnm1+3KFDB6u+MfC1sMYeQxF30mATQnxWgwYNIl++fDg7O7Nz5042bNjAuHHj1I4lErHw8HBmz57N0aNHMRqNODk50aNHD5ImTap2tDjbvXs3a9asYdiwYTF6C318fKyut/CVO3fusHz5csLCwlAUBZPJxIMHD1ixYoXa0T7akCFD6NChA+nSpTOPGJg0aRKzZs2y2r2xNBoNfn5+ZM6cGYieP6nXJ77LRGtdrEd83WRIpBDis6pXrx5bt24Fou9Ku7q6yt4x4rMaOHAgSZIkoUmTJgCsXbuW58+fM2nSJJWTCYgeTli5cmX279+Pm5sbu3fvJnfu3Pzyyy9qR4sTg8HA5cuXOXToEH/++SfXrl3jzJkzaseKt/379zN8+HCKFy+OoiicO3eOUaNGUblyZbWjxdnDhw9Zvnx5rK0jEuPNwsQ2xFO8XeK7dSKE+KLY2NjE+P/XHwvxOVy6dCnGUK5hw4ZRp04dFRPFX2LqLXwlKioKT09PDAYDhQoVokmTJjRs2FDtWHFy//591q5dy4YNGwgJCcHDw4M5c+aoHStelixZQuvWrcmcOTM+Pj6cP38ek8nEiBEjSJcundrx4qVnz544Ojri6OiY6IcMSr/L10FWiRRCWFRi/+Mp1KcoCiEhIebHISEh6HQ6FRPF38iRIwkPD2fs2LFMmDCBqKgohg8frnasT5IkSRIiIyPJkSMHly5dirFJ85du9+7dtGvXjsaNGxMUFMSkSZNwcHCgW7dupE2bVu148bJ06VLu3r1L3759efnyJfny5aNAgQK8fPnS6lbvfMVgMODl5UWDBg1wc3MzfyVGrq6uakcQFiA9bEKIz+r69etUq1bN/Njf359q1aqhKIrVrQwnrEPr1q1p3LgxVatWRVEU9u3bR8eOHdWOFS+JqbfwFRcXFzw8PJg8eTJNmzbl8OHDZMqUSe1YH6V79+7Url2bNWvWkD17dsD6b0K5urrSrl07Hj16RPPmzWMcs9Zz9Hfffce+ffv44YcfrHpxq6tXr+Ll5cWjR4+oXr06AwcONC/n/2ooZOvWrdUNKSxCGmxCiM9q586dakcQXxlnZ2f8/PyYO3cuiqIwcOBAqxty98qr3sKUKVMC1t1b+Grp8WTJklGlShUOHTqEm5sbSZMmtZqh0ps3b8bb25tmzZqRNWtW6tati9FoVDvWJ/H09MTT05Phw4czYsQIteMkiB07drB8+fIYz1njIj2//PILAwcOJH/+/MyYMQN3d3eWLVtGsmTJZCjkV0YWHRFCCJGoeHl58fLlS+rXr4/JZGLTpk1kypTJKjc03rBhAwsWLIjVW9ioUSO1o8VZgQIFSJcuHeXKlXtrA82aFoQwGAwcOHAAb29vDh06RPny5WnevDmVKlVSO9on2bJlCzdu3MDDw4OdO3fKcDuVvbnH2oQJE7h06RKLFi2icePGsv/aV0QabEIIIRKVWrVqsWPHDvNjk8lEvXr12L59u4qp4icyMpIFCxbE6C1s0aKFVQ7Du3LlCtu3b+evv/6iQIEC1KlTh/Lly6PVWvd0+qdPn+Lj44OPj49V71s2efJkHj16xKVLl1i7di1dunShcOHCDBgwQO1ocZZYFutp0aIFHTt2pEKFCubPfJ8+fXjx4gW3b9+WESxfEWmwCSGESFTat2/P0KFDzXOMAgIC8PLyYvHixSoni7vE1Fv4ugsXLrB9+3aOHz9OkSJFqFu3LmXLllU71lfN1dWVjRs34ubmho+PDwaDgfr161vljY7EsrXHzZs3GTp0KE2aNDH3dhqNRsaPH8/KlSu5dOmSugGFxcgcNiGEEImKwWDAxcUFR0dH9Ho9p0+fJkOGDLi7uwPRq+JZi3PnzsXoLaxatSr16tVTMVHCKFq0KEWLFuXUqVNMnjyZLVu2WPUeZonBmz2dkZGRVtv7mVgW68mdOzcrV66M8ZxOp2Pw4MF07txZpVRCDdJgE0IIkah06dIlxuO2bduqlOTTZcuWjbt375p7Cx8/fkzGjBlVThV/iqJw8uRJduzYwaFDhyhYsCAtW7akSpUqakf76tWqVYuePXsSEhLCkiVL2LRpk9XeHEhMi/WcPHmSOXPmcOHCBTQaDUWKFKFr1644OjqqHU1YkAyJFEIIIb5QrVu35uzZs7F6C9OnTw9YV2/h8OHDOXz4MIUKFaJ27dpUrVqVJEmSqB1L/Ouff/7h8uXLLF26lKxZs9KwYUMqV66sdqx42bBhA/Pnzzcv1rN//36rXKzn6NGj9O/fn86dO1O6dGmioqI4c+YM8+bNY/LkyTKM+CsiDTYhhBDiC3XixIn3Hi9TpoyFkny6AgUKkDp1avPCD28unGKN+30lBk+ePMHT05MbN26Ye3Jv375NiRIlmDp1KilSpFA5Yfz8888/nDx5EpPJRJkyZcifP7/akeKsRYsWDB48mIIFC8Z4/uLFi4wbN44VK1aolExYmjTYhBBCCPHZPXz48L3Hs2bNaqEk4nWDBg0iffr0dO/e3bzdQlRUFDNnziQwMJDx48ernPDj7d+/nypVqrxzuXtr26bgzWX9X1evXj22bt1q2UBCNTKHTQghhBCfnTTIvkxnzpzhjz/+iPGcjY0NvXv3xsXFRaVU8XPhwgWqVKnC8ePH33rc2hpsYWFhGAwG9PqYl+sGgwGDwaBSKqEGabAJIYQQQnyl7Ozs3vq8RqOxulUiPT09gZibsD9//pxHjx6RN29etWLF2w8//MDkyZNj7IVnNBoZN26c1c4vFPEjDTYhhBBCiK/U+zZht8YN2gHWrVvH6dOn6d+/P66uriRLlgwXFxc8PDzUjhYnffv2pVOnTtSoUYMiRYpgNBq5ePEiefLkYfbs2WrHExYkc9iEEEIIIb5SRYoUeetWEYqiEBgYyIULF1RI9WkaNGjAvHnz2LFjB7dv32bw4ME0adIEb29vtaPFWVBQEEePHsXX1xeNRkNERAQ//fQTadOmVTuasCDpYRNCCCGE+Ert3LlT7QifhYODAwcPHsTd3R29Xs/Lly/VjhRnly9fpmPHjowdO5Z27doBMG3aNFxcXFi4cCEFChRQOaGwFOlhE0IIIYQQiUb//v0JDg7mzp07bNmyhf79+2Nvb29VK14CtGrVii5dusTab+3w4cMsWrSIJUuWqBNMWJw02IQQQgghRKJhMBg4c+YMefPmJXXq1Ozfv58KFSrEWm3xS+fm5sbGjRvfeszFxYVNmzZZOJFQi3X9yxVCCCGEEOI9fH198fPzw9HRkaFDh3L58mUyZMhAkSJF1I4WJwaDAZPJFGu1TpPJRFRUlEqphBqsa71WIYQQQggh3mPgwIGYTCb27t3LnTt3GDhwIKNHj1Y7VpyVLl36ratBzpkzx+oan+LTSA+bEEIIIYRINF6+fImrqyuDBw/G2dkZR0dHIiMj1Y4VZ71796Zjx474+PhQoEAB7OzsuHz5MmnTpmXu3LlqxxMWJA02IYQQQgiRaOh0Onbu3MmBAwfo0aMHe/bssbpNwAGSJ0/OihUrOHbsGFeuXEGr1dK8eXMcHR3VjiYsTBYdEUIIIYQQica1a9dYsmQJlStXpmbNmvTq1YtOnTrJMvjCakmDTQghhBBCWL3AwEAyZMiAr6/vW49nyZLFwomESBjSYBNCCCGEEFavU6dOzJ8/n6pVq6LRaHj9Elej0bB3714V0wkRf9JgE0IIIYQQQogvlCw6IoQQQgghEo1bt26xdu1agoODYzw/btw4lRIJ8WmkwSaEEEIIIRKNbt26UadOHfLnz692FCEShDTYhBBCCCFEopEyZUq6deumdgwhEozMYRNCCCGEEInGmjVr8PX1xcnJCb3+v76J0qVLq5hKiPiTHjYhhBBCCJFonDlzhr///pu///7b/JxGo2Hp0qUqphIi/qTBJoQQQgghEo1Lly6xa9cutWMIkWC0agcQQgghhBAioeTNm5erV6+qHUOIBCM9bEIIIYQQItG4desWDRo0IH369NjY2Jifl42zhbWSRUeEEEIIIUSi8eDBA7Zs2cKNGzfw8PDg4sWLlC5dmmzZsqkdTYh4kSGRQgghhBAi0Vi9ejU3b97k8uXLZM6cGW9vb5YvX652LCHiTRpsQgghhBAi0fjzzz+ZNGkSdnZ2JE+enMWLF3Po0CG1YwkRb9JgE0IIIYQQiYZWG315q9FoAIiMjDQ/J4Q1kkVHhBBCCCFEolGrVi169uxJcHAwS5YsYfPmzdSrV0/tWELEmyw6IoQQQgghEpXDhw9z5MgRTCYTTk5OVKlSRe1IQsSbNNiEEEIIIYQQ4gslA3qFEEIIIYQQ4gslDTYhhBBCCCGE+EJJg00IIYQQQgghvlDSYBNCCCGEEEKIL9T/AcAdy0tOgltuAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# evaluating Feature correlation Using HeatMap\n",
    "plt.figure(figsize=(15,10))\n",
    "sns.heatmap(data=df.iloc[:,3:].corr(), annot=True, fmt='.2f')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b6688f3",
   "metadata": {},
   "source": [
    "There is a very High Correlation between `Manuf_GDP, Agric_GDP against GDP`, Hence will be dropping GDP Column. \n",
    "Also `Energy Consumption vs Energy Production` are very correlated. One maybe Dropped during the course of our Feature Engineeriing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "de51df85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A look at our Target_Feature distribution by Energy_Type\n",
    "temp_dist = df.groupby('e_type').count()['CO2_emission'].reset_index().sort_values(by='CO2_emission',ascending=False)\n",
    "temp_dist.style.background_gradient(cmap='winter')\n",
    "\n",
    "percent = temp_dist['CO2_emission']\n",
    "labels= temp_dist['e_type']\n",
    "\n",
    "my_pie,_,_ = plt.pie(percent, radius = 1.2, labels=labels, autopct=\"%.1f%%\")\n",
    "plt.setp(my_pie, width=0.6, edgecolor='white') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56661a38",
   "metadata": {},
   "source": [
    "### 3.7 Some Comparative analysis\n",
    "\n",
    "#### 3.7.1 Who produced the most CO2 Emissions over this time period?` vs `CO2 Emissions per Capita per Country over this time period\n",
    "\n",
    "It is said: `On average, 1% increase in population is associated with a 1.28% increase in carbon dioxide emissions and With such magnitude, global emissions are likely to grow substantially over the next decades.---Development Research Group The World Bank`. But How true is this???\n",
    "\n",
    "First: Let's visualize the rate of Population Growth as Represented by this Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7299b223",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dates = list(set(df.Year)) # Extract the dates (X axis)\n",
    "\n",
    "max_pop_growth = list(df.groupby(\"Year\")[\"pop_growth\"].max())  # List Max Pop Growth (y axis)\n",
    "\n",
    "# Plot the line graph\n",
    "plt.plot(dates, max_pop_growth, color='green') \n",
    "# Set axis and graph titles\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Max Pop Growth')\n",
    "plt.title('Line Graph Showing the population growth of each Year \\n')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "538b53ab",
   "metadata": {},
   "source": [
    "Plotting Max Pop_Growth across the years; Reveals a massive upsurge between 2006 to 2017 being its peak at **17.512%** (This Occured at Qatar in the year 2007), But we see again a steep decline till date which for our Theory is good news Globally.\n",
    "\n",
    "Again Recall: We created `Emission per Capita` to probe fully the theory of `a unit increase in Population is directly impacting on the increase in CO2 Emission`, the column represents per capita emission for each country per energy type which will be plotted alongside the co2 emission of each country and resulting graph compared with the graph of countries/population of highest emitters. The idea is if the comparism correlates, then our Hypothesis theory of increase in pop is directly propotional to increase in CO2 Emission, is 100% valid, if not; The Theory then will require modification by adding the extra clause."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "862c43a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},gt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},mt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+g(e))/r)]};var bt=3+2*w;function _t(t,e){var r=g(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=g(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var 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a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(m(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(g(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),m=a(f,u),b=i*p(m/i),_=m-b,w=t*o(_),T=(t*g(_)-_*g(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*g(u),u<x&&(f-=T*(u-x));var E=g(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*g(d);for(var m=r-x,v=g(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*g(b),k=t*o(b),A=g(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*m-l)/(v-2*m*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*g(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":81,\"color-normalize\":89,\"css-font\":99,\"detect-kerning\":125,\"es6-weak-map\":183,\"flatten-vertex-data\":191,\"font-atlas\":192,\"font-measure\":193,\"gl-util/context\":226,\"is-plain-obj\":236,\"object-assign\":247,\"parse-rect\":249,\"parse-unit\":251,\"pick-by-alias\":253,regl:283,\"to-px\":314,\"typedarray-pool\":327}],226:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"pick-by-alias\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,g):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var gi=function(t){this.property=t,this.value=new di(t,void 0)};gi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},gi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var mi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};mi.prototype.getValue=function(t){return x(this._values[t].value.value)},mi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},mi.prototype.getTransition=function(t){return x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},mi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},mi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=Ha(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=Ha(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function Ha(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(gs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),g+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=m[g],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=1-m-v,x=i.z*y+r.z*m+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,g={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(g)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=gs(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],m=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,g,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var L=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,g,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,m,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,h),this.addCurrentVertex(u,g,1,1,h,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,h,!0),this.addCurrentVertex(u,m,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,g=d.x+1,m=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:g,y:m-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:g-1,y:m},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:g+v,y:m},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];m.x+=c,m.y+=u}})(t.positionedLines,m,Z,J,d,g,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable){var k=24*(m.scale-1),A=(24-m.metrics.width*m.scale)/2;_=p.lineOffset/2-(m.imageName?-A:k)}if(m.imageName){var M=s[m.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[m.x+T,m.y]:[0,0],E=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(m.metrics.left-y)*m.scale-T+E[0],P=(-m.metrics.top-y)*m.scale+E[1],I=C+v.w*m.scale/b,O=P+v.h*m.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=m.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*m.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),g=0,m=d;g<m.length;g+=1){var v=m[g];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new su(p,l,c,u,d);g.tile=f,t.push(g)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=go,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m<f.length;m++){var v=[];ut(f[m],v,r,n,i,!0),v.length&&g.push(v)}if(g.length){if(s.lineMetrics&&\"LineString\"===h){for(m=0;m<g.length;m++)l.push(Q(u.id,h,g[m],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===g.length?(h=\"LineString\",g=g[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===g.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,g,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=gt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(gt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(gt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function gt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new m(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,g=o&&h>1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=m,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===h?r.push(c):(c.parentId=m,r.push(V(p/h,d/h,m,h,g)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],g=t.createExpression(d),m=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=g.value,a[f]=m.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ue(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g);m=S.useVertical,(S.notEnoughRoom||m||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=le(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(le(m*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=te(g,o),v=ee(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(g,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ge=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};ge.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),g=Qt(f,h,p,this.transform,d),m=null;if(h){var v=$t(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=be(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ge(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ge(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new ge(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ge(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new ge(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=r[g],v=i.opacities[g];m?v=o:v||(v=p,i.opacities[g]=v),r[g]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=g[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,g=c;d<g.length;d+=1)p();var m=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)m(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var g=0,m=this._order;g<m.length;g+=1){var v=m[g],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=g[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==g.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,q),Y=$t(M.posMatrix,v,m,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,g,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,g,f,m):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=g.textSizeData,v=t.evaluateSizeForZoom(m,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(g,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,g,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),M.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},m):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++){var m=i[g];if(this.style._layers[m].is3D()){this.opaquePassCutoff=g;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&gn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-g.zoom)-2;if(g.zoom===h||w>T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new oi;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new jn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(gi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||vi(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=gi(this._eventsInProgress),a=gi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var g=this._eventsInProgress[d],m=g.handlerName,v=g.originalEvent;this._handlersById[m].isActive()||(delete this._eventsInProgress[d],h=r[m]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=gi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new mi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,g=r.data,m=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(g)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:m}),m.onAdd&&m.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(m=n[u])[0],h=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m<c;m++,g+=u){var v=this.exif_format_read(l,g);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),g=s(t,l+r,i);e.item_loc[u]={length:g,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e=\"\",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[\"\"])[0];if(a.test(c)){var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\"),m=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=m(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:M.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"./attributes\":349,\"./common_defaults\":352}],355:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=g(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,g=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,g,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=g-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(m(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],g=a[r.startarrowhead||0],m=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*m+r.standoff,_=g.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),g=t(\"../titles\"),m=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),gt=0,mt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),g.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),g=15.6;if(f.node()&&(g=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),mt=a.width,(gt=a.height)>g&&(h[1]-=(gt-g)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),mt=a.width,gt=a.height),o){if(gt){if(gt+=5,\"top\"===j)it.domain[1]-=gt/R.h,h[1]*=-1;else{it.domain[0]+=gt/R.h;var v=m.lineCount(f);h[1]+=(1-v)*g}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else mt&&(\"right\"===j&&(it.domain[0]+=(mt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,g=!o&&\"right\"===j,m=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,m=n.height)),g&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,m+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=m;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+m-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=g?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?gt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+gt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-m))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var g=d[0];i(g.x0)&&i(g.y0)&&(h=ht(g),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var m=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var x=m[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,gt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=gt;var mt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};mt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,mt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var m=p[o],v=p[o+1],y=m[m.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),g={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,g).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var m,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),m=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;m<b?(m=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):m>i.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-m+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,g),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(m,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),g=d.LINE_SPACING,m=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital 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hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=m(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom 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n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\"string\"==typeof i){if(void 0===l[i])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),g=e._has(\"cartesian\"),m=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(g||b||y||x||_)+v+m+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):m?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];g&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!g&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));m?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(g||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var 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r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof 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a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new c({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private 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if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var u=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/u,r=n(10),t.dtick=\"L\"+ot(e,r,$)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):At(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},V.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?it:nt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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a=n._fullLayout._zoomlayer.selectAll(\".select-outline-\"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call(\"_guiRelayout\",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if(\"sankey\"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),g=t(\"../cartesian/axes\"),m=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/select\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:\"Polygon\",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}e.exports=function(t){return new M(t)},S.plot=function(t,e,r){var n=this,i=e[this.id],a=[],o=!1;for(var s in w.layerNameToAdjective)if(\"frame\"!==s&&i[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var 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i=t[n],a=i[0].trace;\"choropleth\"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),d.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},S.updateProjection=function(t,e){var r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,g=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],g._length=y[1][1]-y[0][1],d.range=m(r,d),g.range=m(r,g);var k=(d.range[0]+d.range[1])/2,A=(g.range[0]+g.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,g.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var R=this.midPt=[(P[0][0]+P[1][0])/2,(P[0][1]+P[1][1])/2];if(v.translate([O[0]+(R[0]-O[0]),O[1]+(R[1]-O[1])]).clipExtent(P),n._isAlbersUsa){var F=v([x.lon,x.lat]),B=v.translate();v.translate([B[0]-(F[0]-B[0]),B[1]-(F[1]-B[1])])}},S.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function s(t){return\"lonaxis\"===t||\"lataxis\"===t}function l(t){return Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e[\"show\"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(\".layer\").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append(\"g\").attr(\"class\",(function(t){return\"layer \"+t})).each((function(t){var e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};g.setConvert(l,r);var c=g.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],m=i[0];m<i[1]+2.5;m+=2.5)d.push(a(p,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,\"\",e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":561,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],595:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":528,\"../cartesian/axes\":554}],596:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1120,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g<c.length;++g)\"skip\"!==(t=e.traces[c[g]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function m(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:m(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:m(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:m(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=m(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=m(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=m(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-M),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.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 L=m[1][a]-m[0][a];m[0][a]-=L/32,m[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=m[0][a];m[0][a]=m[1][a],m[1][a]=C}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var 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n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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g=c.select(s._subplot.div);if(!(null===g.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var m=e._glimages.append(\"g\");m.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),m.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),m.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=g.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var 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n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.rectMode,h=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:A(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),a[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function A(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(A(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once(\"error\",r),e.once(\"style.error\",r),e.once(\"source.error\",r),e.once(\"tile.error\",r),e.once(\"layer.error\",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement(\"div\");r.id=e.uid,r.style.position=\"absolute\",e.container.appendChild(r),e.xaxis={_id:\"x\",c2p:function(t){return e.project(t).x}},e.yaxis={_id:\"y\",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(t))}i.on(\"moveend\",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,e._preGUI,r.getViewEdits(i));var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),g=t(\"../cartesian/autorange\").doAutoRange,m=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=t._fullLayout,i=\"clip\"+n._uid+e;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function U(t,e){return 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z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",l(P,I)),r.frontplot.attr(\"transform\",l(A,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",l(L,C)).call(c.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=this.getRadial(e);g(r,n);var 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../cartesian/layout_attributes\":569,\"../domain\":584}],636:[function(t,e,r){\"use 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r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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n=t(\"../../components/fx\"),i=t(\"../../registry\"),a=t(\"../../components/color\"),o=t(\"../../lib\").fillText,s=t(\"./helpers\").getLineWidth,l=t(\"../../plots/cartesian/axes\").hoverLabelText,c=t(\"../../constants/numerical\").BADNUM;function u(t,e,r,i,a){var s,u,f,h,p,d,g,m=t.cd,v=m[0].trace,y=m[0].t,x=\"closest\"===i,b=\"waterfall\"===v.type,_=t.maxHoverDistance,w=t.maxSpikeDistance;\"h\"===v.orientation?(s=r,u=e,f=\"y\",h=\"x\",p=z,d=I):(s=e,u=r,f=\"x\",h=\"y\",d=z,p=I);var T=v[f+\"period\"],k=x||T;function A(t){return S(t,-1)}function M(t){return S(t,1)}function S(t,e){var r=t.w;return t[f]+e*r/2}function E(t){return t[f+\"End\"]-t[f+\"Start\"]}var L=x?A:T?function(t){return t.p-E(t)/2}:function(t){return Math.min(A(t),t.p-y.bardelta/2)},C=x?M:T?function(t){return t.p+E(t)/2}:function(t){return Math.max(M(t),t.p+y.bardelta/2)};function P(t,e,r){return a.finiteRange&&(r=0),n.inbox(t-s,e-s,r+Math.min(1,Math.abs(e-t)/g)-1)}function I(t){return P(L(t),C(t),_)}function O(t){var 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e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+m*Math.cos(t),b[1]-m*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"../../plots/cartesian/axis_defaults\":556,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/cartesian/position_defaults\":572,\"./constants\":858,\"@plotly/d3\":58,\"d3-interpolate\":116}],862:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374,\"../streamtube/calc\":1041}],864:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var e,r,n,i,a,o,s,c=t.surface.show,u=t.spaceframe.show,h=t.surface.fill,p=t.spaceframe.fill,d=!1,g=!1,m=0,v=t._Xs,y=t._Ys,x=t._Zs,b=v.length,_=y.length,w=x.length,T=f.indexOf(t._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),k=function(t,e,r){switch(T){case 5:return r+w*e+w*_*t;case 4:return r+w*t+w*b*e;case 3:return e+_*r+_*w*t;case 2:return e+_*t+_*b*r;case 1:return t+b*r+b*w*e;default:return t+b*e+b*_*r}},A=t._minValues,M=t._maxValues,S=t._vMin,E=t._vMax;function L(t,e,s){for(var l=o.length,c=r;c<l;c++)if(t===n[c]&&e===i[c]&&s===a[c])return c;return-1}function C(){r=e}function P(){n=[],i=[],a=[],o=[],e=0,C()}function I(t,r,s,l){return n.push(t),i.push(r),a.push(s),o.push(l),++e-1}function O(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=t[i]*(1-r)+r*e[i];return n}function z(t){s=t}function D(t,e){return\"all\"===t||null===t||t.indexOf(e)>-1}function R(t,e){return null===t?e:t}function F(e,r,n){C();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=m[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,g))}},{\"../../components/colorscale/calc\":374,\"../../components/colorscale/helpers\":377,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/filter_unique.js\":494,\"../../lib/gup\":500,\"fast-isnumeric\":190}],884:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var 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g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/domain\":584,\"../parcoords/merge_length\":897,\"./attributes\":881}],885:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":881,\"./base_plot\":882,\"./calc\":883,\"./defaults\":884,\"./plot\":887}],886:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=o.selectAll(\"g.trace.parcats\").data(a,p),h=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return l(t.x,t.y)})),h.append(\"g\").attr(\"class\",\"paths\");var y=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);y.attr(\"fill\",(function(t){return t.model.color}));var x=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(x),y.attr(\"d\",(function(t){return t.svgD})),x.empty()||y.sort(g),y.exit().remove(),y.on(\"mouseover\",m).on(\"mouseout\",v).on(\"click\",b),h.append(\"g\").attr(\"class\",\"dimensions\");var w=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);w.enter().append(\"g\").attr(\"class\",\"dimension\"),w.attr(\"transform\",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll(\"g.category\").data((function(t){return t.categories}),p),M=A.enter().append(\"g\").attr(\"class\",\"category\");A.attr(\"transform\",(function(t){return l(0,t.y)})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),A.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(M);var S=A.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function g(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+g.left,y:_-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(g),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),A.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(g),N(g)),g}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function g(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function m(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500}],892:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],893:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],895:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":888,\"./base_plot\":890,\"./calc\":891,\"./defaults\":893,\"./plot\":899}],896:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var g=[[],[]],m=0;m<64;m++)g[0][m]=m===i?1:0,g[1][m]=m===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:g[0].slice(0,16),dim0B:g[0].slice(16,32),dim0C:g[0].slice(32,48),dim0D:g[0].slice(48,64),dim1A:g[1].slice(0,16),dim1B:g[1].slice(16,32),dim1C:g[1].slice(32,48),dim1D:g[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(u),C=[];I(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],903:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],906:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":900,\"./base_plot\":901,\"./calc\":902,\"./defaults\":903,\"./layout_attributes\":907,\"./layout_defaults\":908,\"./plot\":909,\"./style\":910,\"./style_one\":911}],907:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],908:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":907}],909:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[m.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),g=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=m.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:g,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:g-p*i.r,_y1:u?s+t.BL[1]:g+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(m.castOption(e.pull,t.pts)||0)>=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,g),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr(\"transform\",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../plots/cartesian/axis_format_attributes\").descriptionOnlyNumbers,h=t(\"../../lib/extend\").extendFlat,p=t(\"../../plot_api/edit_types\").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*g,a.node.y[_]*m];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:m,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:g,dragPerpendicular:f?g:m,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" \"+o+\",\"+h+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){o=!0}));var s=t._fullLayout._dragCover,g=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(g,m);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",O);var _=b.selectAll(\".\"+l.cn.sankeyLinks).data(v,m);_.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=_.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),m);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style(\"stroke\",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return I(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var C=b.selectAll(\".\"+l.cn.sankeyNodeSet).data(v,m);C.enter().append(\"g\").classed(l.cn.sankeyNodeSet,!0),C.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var R=C.selectAll(\".\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),m);R.enter().append(\"g\").classed(l.cn.sankeyNode,!0).call(E).style(\"opacity\",(function(e){return!t._context.staticPlot&&!o||e.partOfGroup?0:1})),R.call(z,b,i.nodeEvents).call(D,L,i,t),R.transition().ease(l.ease).duration(l.duration).call(E).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),R.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var F=R.selectAll(\".\"+l.cn.nodeRect).data(v);F.enter().append(\"rect\").classed(l.cn.nodeRect,!0).call(P),F.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return u.tinyRGB(c(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return u.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(P);var B=R.selectAll(\".\"+l.cn.nodeLabel).data(v);B.enter().append(\"text\").classed(l.cn.nodeLabel,!0).style(\"cursor\",\"default\"),B.attr(\"data-notex\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\"text-shadow\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\"text-anchor\",(function(t){return t.horizontal&&t.left?\"end\":\"start\"})).attr(\"transform\",(function(t){var e=a.select(this),r=x.lineCount(e),n=t.textFont.size*((r-1)*T-w),i=t.nodeLineWidth/2+3,o=((t.horizontal?t.visibleHeight:t.visibleWidth)-n)/2;t.horizontal&&(t.left?i=-i:i+=t.visibleWidth);var s=t.horizontal?\"\":\"scale(-1,1)\"+d(90);return p(t.horizontal?i:o,t.horizontal?o:i)+s})),B.transition().ease(l.ease).duration(l.duration)}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../registry\":638,\"./constants\":919,\"@plotly/d3\":58,\"@plotly/d3-sankey\":57,\"@plotly/d3-sankey-circular\":56,\"d3-force\":111,\"d3-interpolate\":116,tinycolor2:312}],924:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var 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n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":937}],966:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":388,\"../../plots/cartesian/axes\":554,\"../scatter/plot\":947}],968:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":503,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"./attributes\":968}],971:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],972:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":554}],973:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/get_trace_color\"),o=t(\"../../lib\").fillText,s=t(\"./attributes\");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[u.c2p(m),f.c2p(m)],y=g.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=g.loc,t.lon=m[0],t.lat=m[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(g,c,x);return 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n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var 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if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,g=-1/0,m=0,v=0;m<f;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":943,\"../scatter/subtypes\":951,\"./constants\":980,\"./helpers\":985,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m),m(\"xhoverformat\"),m(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":930,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/period_defaults\":946,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"../scatter/xy_defaults\":953,\"./attributes\":978,\"./helpers\":985}],983:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],984:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":935}],985:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":980}],986:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,g=t.cd,m=g[0].t,v=g[0].trace,y=t.xa,x=t.ya,b=m.x,_=m.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(m.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?m.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):m.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=m.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/get_trace_color\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":568,\"../scatter/cross_trace_defaults\":932,\"../scatter/marker_colorbar\":944,\"./attributes\":978,\"./calc\":979,\"./defaults\":982,\"./format_labels\":984,\"./hover\":986,\"./plot\":988,\"./select\":990}],988:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_)),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var A=m.dragmode,M=l(A),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],L=E.trace,C=E.t,P=C.index,I=L._length,O=C.x,z=C.y;if(L.selectedpoints||M||S){if(M||(M=!0),L.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(L),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=C.xpx=new Array(I),N=C.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(O[g]),N[g]=x.c2p(z[g])}else C.xpx=C.ypx=null}if(M){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x,t._context.plotGlPixelRatio),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":942,\"../scatter/subtypes\":951,\"./edit_style\":983,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],989:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var 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_.remove();var D=null,R={};v&&_.each((function(t){R[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!D&&b.isEntry(t)&&(D=t)}));var F=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),B=M.height+1,N=0,j=S;T.hasMultipleRoots&&b.isHierarchyRoot(M)&&(F=F.slice(1),B-=1,N=1,j+=1),F=F.filter((function(t){return t.y1<=j}));var U=p(k.rotation);U&&F.forEach((function(t){t.x0+=U,t.x1+=U}));var V=Math.min(B,S),H=function(t){return(t-N)/V*I},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},G=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,O,z)},Y=function(t){return O+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},W=function(t){return z+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(_=_.data(F,b.getPtId)).enter().append(\"g\").classed(\"slice\",!0),v?_.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=b.getPtId(t),n=R[r],i=R[b.getPtId(M)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+U;e=t.rpx1<i.rpx1?{x0:t.x0,x1:t.x1,rpx0:0,rpx1:0}:{x0:o,x1:o,rpx0:t.rpx0,rpx1:t.rpx1}}else{var s,l=b.getPtId(t.parent);_.each((function(t){if(b.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(b.getPtId(t)===r)return c=e}));var f=u.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(c/f),x1:h((c+1)/f)}}return a(n,e)}(t);return function(t){return G(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():_.exit().remove(),_.order();var X=null;if(v&&D){var Z=b.getPtId(D);_.each((function(t){null===X&&b.getPtId(t)===Z&&(X=t.x1)}))}var J=_;function K(t){var e=t.parent,r=R[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}v&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),f=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr(\"d\",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(m,i,k);var p=s.ensureSingle(c,\"g\",\"slicetext\"),_=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=g(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),g=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return m(Math.pow(t,g))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr(\"transform\",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var g,m=o.split(\"+\"),v=function(t){return-1!==m.indexOf(t)},y=[];if(v(\"label\")&&u.label&&y.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&y.push(b.formatValue(u.v,l)),!h){v(\"current path\")&&y.push(b.getPath(t.data));var x=0;v(\"percent parent\")&&x++,v(\"percent entry\")&&x++,v(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){g=b.formatPercent(w,l),_&&(g+=\" of \"+t),y.push(g)};v(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return v(\"text\")&&(g=s.castOption(r,u.i,\"text\"),s.isValidTextValue(g)&&y.push(g)),y.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":905,\"../pie/plot\":909,\"./constants\":1048,\"./fx\":1050,\"./helpers\":1051,\"./style\":1056,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1056:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1057:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1058:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1059:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},{}],1066:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"fast-isnumeric\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},{\"../../lib\":503,\"../../plots/domain\":584,\"./attributes\":1062}],1069:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"table\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1062,\"./base_plot\":1063,\"./calc\":1064,\"./defaults\":1068,\"./plot\":1070}],1070:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib\").numberFormat,o=t(\"../../lib/gup\"),s=t(\"../../components/drawing\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../lib\").raiseToTop,u=t(\"../../lib\").strTranslate,f=t(\"../../lib\").cancelTransition,h=t(\"./data_preparation_helper\"),p=t(\"./data_split_helpers\"),d=t(\"../../components/color\");function g(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function v(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function y(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return D(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return u(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return u(0,t.scrollbarState.topY||0)}));var c=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),c.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),c.transition().delay(0).duration(0),c.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var 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n=t[Math.min(e,t.length-1)];return Array.isArray(n)?n[Math.min(r,n.length-1)]:n}return t}function k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",u(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=y(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=D(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),c=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l;e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return 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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 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):g(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},m.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},m.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},m.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},m.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},m.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),g(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(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 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fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(f,new a(1).iushln(d-m-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=m}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(m,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(A[0],A[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{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 m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.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])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(q===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,A=u*m-h*d,M=u*v-p*d,S=f*m-h*g,E=f*v-p*g,L=h*v-p*m,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(g*T-m*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(m*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-g*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(g*x-d*_-m*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],g.push(Z[0],Z[1]),m.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=L[1]*m/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=L[3]*m/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){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 m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(m)?H=n<m.length?+m[n]:0:m&&(H=+m);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=g(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(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 m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],239:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],240:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],241:[function(t,e,r){var 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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],g=i[10],m=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=g;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,g=d[0],m=d[1],v=d[2],y=i*g+a*m+o*v,x=c(g-=y*i,m-=y*a,v-=y*o);if(!(x<.01&&(x=c(g=a*h-o*f,m=o*l-i*h,v=i*f-a*l))<1e-6)){g/=x,m/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,g,m,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*m,_=o*g-i*v,w=i*m-a*g,T=c(b,_,w),k=i*l+a*f+o*h,A=g*l+m*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":68,\"gl-mat4/invert\":98,\"gl-mat4/rotate\":103,\"gl-vec3/cross\":157,\"gl-vec3/dot\":162,\"gl-vec3/normalize\":179}],306:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){\"use strict\";var 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null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=g,r.mallocUint32=m,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=A,r.mallocBuffer=M,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,\"length\",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],310:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){\"object\"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t(\"./lib/vtext\"),i=null,a=null;\"undefined\"!=typeof 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n=t(\"surface-nets\"),i=t(\"ndarray\"),a=t(\"simplify-planar-graph\"),o=t(\"clean-pslg\"),s=t(\"cdt2d\"),l=t(\"planar-graph-to-polyline\");function c(t,e,r,n){for(var i=\"<\"+t+\">\",a=\"</\"+t+\">\",o=i.length,s=a.length,l=\"+\"===e[0]||\"-\"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+\" \"+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||\"start\",i=e.textBaseline||\"alphabetic\",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var 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     "execution_count": 19,
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   "source": [
    "# Making temp dataset of all countries and there total CO2 emissions in the time period\n",
    "\n",
    "# Specifying all countries != world, as well energy_types=all \n",
    "cd1 = df[df['Country']!='World'][df['e_type']=='all']\n",
    "\n",
    "lt = []\n",
    "for country in cd1['Country'].unique():\n",
    "    total = cd1[cd1['Country']==country]['CO2_emission'].sum(axis=0)\n",
    "    lt.extend([[country, total]])\n",
    "lts = []\n",
    "for country in cd1['Country'].unique():\n",
    "    total = cd1[cd1['Country']==country]['emission_per_cap'].sum(axis=0)\n",
    "    lts.extend([[country, total]])\n",
    "# COMPARISON    \n",
    "# Temporary dataset of all the Countries and there respective total CO2 Emission over the time period\n",
    "temp_cd = pd.DataFrame(lt, columns=['Country', 'Total_CO2']).sort_values(by='Total_CO2',ascending=False)\n",
    "# Temporary dataset of all the Countries and there respective total emission_per_capita over the time period\n",
    "temp_cd2 = pd.DataFrame(lts, columns=['Country', 'emission_per_cap']).sort_values(by='emission_per_cap',ascending=False)\n",
    "\n",
    "# Plotting the top 20 Emiters\n",
    "fig = px.bar(temp_cd.head(20), x='Country', y='Total_CO2', title='Top 20 CO2 Emitters (MMtonnes CO2)')\n",
    "# Plotting the top 20 emission_per_capita\n",
    "fig2 = px.bar(temp_cd2.head(20), x='Country', y='emission_per_cap', \n",
    "              title='Top 20 Countries with emission_per_capita (MMtonnes CO2 per Pop)')\n",
    "fig.show(), fig2.show()"
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20 CO2 Emitters vs Top emitters_per_Capita\"}},                        {\"responsive\": true}                    ).then(function(){\n",
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   "source": [
    "'''\n",
    "Let's Visualise the comparison using a line graph\n",
    "'''\n",
    "temp_td = temp_cd.copy()\n",
    "# Create a df containing ranked countries, Total_C02 & emission_per_cap\n",
    "temp_td = pd.merge(temp_td, temp_cd2, how=\"left\", on='Country')\n",
    "# Seperate country because it's an Object variable\n",
    "others = temp_td.drop(['Country'], axis=1)\n",
    "c = temp_td['Country']\n",
    "# Scale the features to be compared to deal with Range Variation\n",
    "sc = StandardScaler()\n",
    "others_scaled = pd.DataFrame(sc.fit_transform(others), columns=others.columns)\n",
    "# concat both Tables \n",
    "temp_td_scaled = pd.concat([c, others_scaled], axis=1)\n",
    "# Plot Multiple line graph\n",
    "fig4 = px.line(temp_td_scaled.head(30), x='Country', y=['Total_CO2', 'emission_per_cap'], title='Top 20 CO2 Emitters vs Top emitters_per_Capita')\n",
    "fig4.show()"
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   "cell_type": "markdown",
   "id": "46a7a455",
   "metadata": {},
   "source": [
    "**From the Line Graph above**\n",
    "\n",
    "This might be **TRUE** for `Population against CO2_Emission` But Totally **FALSE** when see the `Population vs CO2_Emission_per_Capita`. As You can see, We have the Top 20 countries with Highest CO2_Emission_per_Capita being `UAE, Singapore, Qatar, Kuwait, Bahrain, Australia, Brunei, Saudi Arabia, Luxembourg, US`, with Most dealing as Petroleum Porducing/Refining Nations \n",
    "\n",
    "And From wikipedia.org :\n",
    "\n",
    "1. The UAE economy is heavily reliant on revenues from petroleum and natural gas\n",
    "2. The economy of Singapore is a highly developed free-market economy (an economy in which all resources are owned by individuals), Hence High Transportation, Heat & Electrical energy demand of which it's major sources are Petroleum Fuels \n",
    "3. Petroleum and natural gas are the cornerstones of Qatar's economy and account for more than 70% of total government revenue, more than 60% of gross domestic product, and roughly 85% of export earnings.\n",
    "4. The economy of Kuwait is a wealthy petroleum-based economy\n",
    "5. The economy of Bahrain is heavily dependent upon oil and gas\n",
    "6. Australia which is Australia is a highly developed country with a mixed-market economy, and Known to be prone to Natural disasters\n",
    "7. [Brunei's economy](Brunei's economy is almost totally dependent on the exploitation of its vast reserves of petroleum and natural gas) is almost totally dependent on the exploitation of its vast reserves of petroleum and natural gas \n",
    "8. The [economy of Saudi Arabia](https://www.britannica.com/place/Saudi-Arabia/Economy) is dominated by petroleum and its associated industries\n",
    "9. The economy of Luxembourg is largely dependent on the banking, steel, and industrial sectors\n",
    "10. The United States is a highly developed country with a market economy and has the world's largest nominal GDP and net wealth. Also With a rough estimate of 11,567,000 barrels per day, [the United States](https://worldpopulationreview.com/country-rankings/oil-producing-countries) is the top oil-producing country in the world, as it has been for many years. The US also consumes more oil than any other country worldwide.\n",
    "\n",
    "Now we see a Country like China with the assumed Highest CO2 Emitting country but if to be divided per head/capita, They prove to be doing alot better than the countries listed above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7b6dc845",
   "metadata": {},
   "outputs": [
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df968eaL5Inr06KF1Y0GG3377DS1atBCWk5KSlEaCZkhMTBSNuqtQoYJo9F5mzMzMREHBtLQ0Ubo6VRo3biz0oA4LC1P7feQWBhHz0dixY0XDmlNTUzF16lS1N4GIiAjMmzdP9N706dO16opP+Wfbtm2if98ePXqgcuXK2dqXtbW1Ulfrw4cPq1z30qVLopaT8uXLKw2J1oahoSHmzJkjeu/gwYP4+PGj0rqKE6lokwBWMU/ou3fvtCglEREREVF60E++nty7d2+t99GkSRNYWVkJy9rmNnz27JmQa83CwiJHkyLIBzQjIyPh6emp1fanT58WXrdr14459Uln9u7di9jYWGG5UaNGaNmyZbb2ZWhoqNQbMbPnXW9vb1y/fl1Ytra2xsyZM7N13AyzZ88W5Ry8du2ayklCX716JRr906RJE42Poe3zrp6eHnr06CEs79q1S5i0N6/wapGPTExMMH/+fAwYMED4h3/27Bm2bt2qdLJkmDdvHsLCwoTlNm3aiIaWZubhw4dwd3eHp6cnPn78iKioKFhaWsLe3h6urq5o164d6tatq/XfEB8fj0uXLuHOnTt48uQJwsLCEBUVhdTUVJiZmaFo0aKoVKkSWrVqhdatW0NfX1/t/lq2bCnkCpw3bx569+6NoKAgrFq1CteuXUNiYiKKFSuGOnXqoEuXLhqVuX///sIMbEB6N2FNZ2GLj49H48aNhYtCp06dssxVkJm4uDjREAYASkFAbXXv3h1nz55F3bp1Ua9ePbi6uqpcT34in4zjyg+nz47q1aujSZMmwsU6NTUV+/fvV0pQnZycDGdnZ4SEhCA+Pl7UZTsrikMvY2JiclTmnJJKpbh48SIuX76MR48eISwsDHFxcbC1tUWJEiXQpEkTdOrUSaOh6YcPH8aUKVMAACVKlBDy90VGRuLEiRM4e/Ys/P39ERERgcKFC8PJyQkdO3ZE586dYW5uLtpXSEgIDh8+jAsXLiAwMBCxsbGwtrZG1apV0aVLF7Rv315tT+UBAwbgzp07SmXJzP3793H27Fk8fPgQ/v7+iI2Nhbm5OaytrVGuXDk0aNAA7du3V5vfU15aWhpu3rwJd3d3PHr0CMHBwYiPj4eFhQWsra1RqVIlNGzYEO3btxdV3nXxtwDpv9HTp0/j2rVrePr0KcLCwpCYmAgbGxuUKFFC+HtcXFyy3Jf8v6uDg4PQmhgbG4vTp0/j3LlzePfuHT59+gRTU1M4ODigUaNG6NKlS7YbFBRldn0LDAxU+uzixYuZznzu4+ODEydO4M6dO/D390dkZCRMTU1ha2uLqlWromnTpujQoYNGQ6Rz49quievXr8PDwwP37t1DaGgoYmJiYG1tjaJFi6JRo0bo0KGDqFe1piIjI+Hh4YG7d+/i6dOniIiIQFRUFGQyGczNzVG8eHFUrVoV7dq106oimeHt27c4efIkbt++jXfv3iEmJgZGRkYoUqQIqlatirZt26JVq1bZ6l16+fJl4fwNCQmBRCKBg4MDKlSogM6dO6N58+a53ms1t+okupLZOTRlyhTh/AbSH1hu3ryJH3/8UXivbdu2Sj0w1Fm7dq1o/TNnzqBMmTIA0nMwrV27FkB6TuSMJPN+fn7Yt28frl27huDgYCQmJqJw4cKoUqUK2rdvj/bt22fr3zC3zhdtPX/+HIcPH8bdu3cREBCApKQk2NnZoWLFiujYsSPc3Nygr6+Ps2fPYsyYMcJ23t7eOjm+VCqFh4cHLl26hEePHuHTp0+Ij4+HtbU17O3tUb9+fbRu3Rp16tTJ9jFiY2Nx6NAhnDt3Dr6+voiJiUGRIkVQpkwZtG7dGh07dszyfqcoJSUFV65cgaenp1DuyMhIJCUlwdTUVPgOW7RogY4dO+Z6Mv4DBw5g+vTpwvKPP/6IyZMna7z9lClThGCBsbExbty4IRqBo60TJ04IgQ19ff1sjcYxNDREq1atcOTIEQDaz9Isn4OwTZs2Ofo3+Oabb2BqaioMZTx79iwaN26s0bZpaWmi0UsdO3YU6k6Zkb+Py1u7dq1wnQLU1ysA4MaNG7hw4QIePHiAjx8/IjY2FpaWlrCzs0PdunXRokULjYKrAQEBaNWqlbDs7u6OUqVKIS0tDR4eHjhz5gyePXuGkJAQyGQy2NnZoXbt2mjXrp1oWHpm5O8D27ZtE3pq3rp1C6dOnRLuocnJyaJ7c/v27bN83lUUGhqK06dP4+rVq3j37h3Cw8MhkUhQpEgRVKpUCS1atICbm1umufxUSU5OxuXLl3Hx4kV4eXnh48ePSEpKgpWVFWxsbFC9enU0aNAA7dq102q/mti/f79oOafPu25ubtiyZQuqVasGV1dX1KtXT+V6is+7vXv3hqmpaY6OXaxYMXTv3l2Ui3HPnj2oUaOGaL24uDiUK1cOwcHBiI2NVXsOKMrO8267du2EVHgBAQG4du2aKL9ibmMQMZ/VrVsX33//Pf7991/hvbVr16JDhw6irrsAcOXKFVEQqkiRIkq9wRS9e/cO8+fPV9ndPjw8HOHh4Xj58iX+/fdfNGnSBLNmzdKoq7FUKsXmzZuxbds2REREqFwnOjoa0dHRePXqFY4dOwZnZ2csWLBAq0rXhw8f0KdPH2FGYCD9wdbHxwepqakaPWT06NFDFEQ8ceKExkHE8+fPi1oV5KP+2rp16xYSExOFZXt7+xxXxp2dnXHu3Dm160RHR+PevXvCspGREbp06ZKj42bo2bOnqMXH3d1dKYjYtWtXdO3aVSiLNjnZFFtibG1tc1DanLl27RoWLlyoMhfGx48f8fHjRzx48ADr1q1Dnz59MGHCBK1nk3Z3d8eMGTOEhN8ZPnz4gA8fPuDOnTvYunUrNm3aJPRiPnLkCObMmSP6nQLpgUUPDw94eHigcePGWL16tSjHZHYEBQVh4sSJuHv3rtJnUVFRiIqKgp+fHy5evIg///wT3333HcaNG6f2Yfbly5eYOHGiyoe/iIgIRERE4N27dzh9+jSWLFmCoUOHZtrIkh2HDx/G8uXLRdeYDCEhIQgJCcHDhw+xYcMGtG3bFtOmTYODg4NWx7h69SqmT5+u1FM3KSkJkZGR8Pb2xvbt29GtWzf88ccf+Z638OPHj5gzZw4uXrwoGg4NpD+kRkdHw9fXFydPnsSyZcvw22+/iVIPaEIX13Z1njx5gnnz5qlsLQ4NDUVoaCi8vLywadMmuLm5Ydq0aShcuHCW+01MTMTq1auxZ88epXMuQ2RkJCIjI/H8+XPs378fVapUwdKlSzUaNhcaGooFCxbgzJkzKr/7uLg4+Pn54dSpUyhdujQWLFigNt+OvHfv3mHatGkq00K8fftWSIlRtmxZrFixQuP7pDZyq06Snxo0aIDixYsLwwIvX76M6OhojQNAx48fF17XqlVLCCBmZs+ePViwYIFSjuCM+8SFCxewdu1arepbuXW+aCs2NhazZ8/GiRMnlD4LCgpCUFAQLl26hG3btmHx4sU6Pz6QXteeO3euMGOmvIzvIqPBv2HDhpg+fTrKlSun1TE8PT0xadIkfPjwQfR+xt94/fp1rFq1CuPGjdN4Mqx9+/Zh/fr1SvvMEBsbi9jYWLx79w5nz57F8uXLMWvWrGwF0jTVoUMHzJ8/XwhynTp1ChMnTtSoETsxMVFUv23Tpk2OAogAhMAfkN4QXqhQoWztp0OHDsK+4uLicO3aNY2/R/nAnZubW7aOn8HU1BQtWrQQekOeP38es2bN0qhH4Z07d4T7r729PerVq5dlEDGnHj9+jJkzZ6pM3ZVx/ff29sauXbtQpUoVTJ8+XeP7W4Z3795h8uTJePTokdJnfn5+8PPzw5EjR1CzZk0sW7ZMq0BPSEgIZsyYoXJm6oCAAAQEBODs2bNYt24dli5dqlHDcEpKCv766y9s375dZV679+/f4/379zh37hxWrVqFiRMnajQE3tPTE1OnTkVAQIDSZ2FhYQgLC4OPjw8OHz6MpUuXYty4cTl6xpX38uVL0XXI0NBQ4+B2ZiwsLLJ83pXJZLh06ZLovV69euXouBl69uwpCiJevHgRUqlUFCxu2LCh0EgQFxenVZo5xeddTdKcVaxYEQ4ODsKzxdGjR/M0iMjhzAXAuHHjRD2XkpKSMH/+fNE68fHx+OOPP0TvzZ07V21Q5fbt2+jbt6/G+TquX7+OPn36iAJuqiQlJWHkyJFYvnx5pgFEVXx9ffHDDz/Ay8tLo/VlMhkmTpyo8uEeSG/t10SHDh1ErRAnT55UejjLjHzlvlixYmjYsKFG26miOMwgs1YUXbt//76oi3PFihWVerJlV9OmTUWVwVevXqkc0pzByspKqwCJYo7H0qVLa19IHdi2bRuGDh2qNpluhtTUVOzevRvff/99lolx5R04cACjRo1SCiAq8vPzww8//ICEhARs2rQJkydPzjSYkeHGjRuYOnWqxmVRJTg4GH369FEZQFQlKSkJW7duxahRozLtYv/ixQt8++23GvceiYmJwbJly5SuhdmRlpaGiRMnYsqUKZleY+TJZDKcO3cOPXv2VPmgnZlz587hl19+UXteZOz/yJEjol41+eHRo0fo0qULLly4oNF1MiQkBFOnTsWMGTM0zsekq2t7Zk6dOoXvv/9eo38nmUyGU6dOoU+fPlme3xERERg0aBC2bNmS5Tkn79mzZ+jfv79opmxVXr58iW7duuH06dMafffv3r3DoEGDRDl4siqDJnll37x5gwEDBqgMouREbtVJ8puenp6oYS45OTnLh50MDx8+hJ+fn7CcVTB+x44dmD17dpaTjPn6+mLgwIEalSO3zhdthYeHo2/fvioDiIqePXuG77//XqM84tpYsWIFhg4dqvFv/9atW+jTp4/Sg6s6np6eGDp0aKbBvgwRERGYMWMGli5dqna9tLQ0zJw5EzNnzsxyn/JCQkIwatQoXLhwQeNttGVhYYE2bdqIjqnpkNsLFy6I8ppp21ClKCwsTPQbz04P8QyNGjWCtbW1sKzppCYPHz4UevLZ2NjoJAeh/JDmiIgIjQOB8kOZO3TokOPRSVnZvXs3+vfvr/E5++zZMwwcOBAHDhzQ+Bi+vr7o37+/ygCiokePHmHgwIEaP8eGh4fj+++/VxlAVOTj44MffvhBGLaemaioKPz0009Yv369RhNjBAcHY9y4cVi+fLna9a5evYqffvpJZQBRldDQUEyZMgV///23RutnRXGm8CpVquS4N6AmXr9+LXqGsrW1FaWNy4nq1auLAnvR0dFq75nm5uZadSRRvIZk1ZiYQT44e/Xq1TydgJRBxALA1NQUCxYsEEWsL126JKqUrF69WtSFvGfPnmpzC7x+/RrDhg0TzeDs4uKCxYsX4/Lly/Dy8sLNmzexbt060Y00IiIiywrUmjVrREMEixQpgkmTJuHEiRN4+PAhnj9/jjt37mD37t344YcfREGj5ORkLFiwQINvJb1im9nN0NzcXOObr2Il5sOHD6KeeZkJCQnBrVu3hOVu3brl6Cb7+vVr0XJOhsFoQ/FvrVatms72bWlpqdQC//z5c53s+9q1a6IJWaytrZVyRuSFgwcPYtGiRaJAWKtWrbBp0ybcunULXl5euHTpEubNmye6WT179gzDhw/X6IL+6dMnzJ49GwBQqFAhjBw5EqdPn8aTJ09w8+ZNzJs3T9Ri/uHDBwwfPlyoSFSoUAHLly/HjRs34OXlhVOnTqF///6iY5w7d070fWprxowZoqCPm5sbtm/fjlu3buHZs2e4desWDhw4gP79+4t6Hl66dEkUjM8gk8kwYcIE4SFBT08P/fv3x+7du3Hnzh08e/YM169fx65du9CpUyfRubd7926Ng5mZ+eOPP4ShgRk6duyIbdu24fbt2/Dy8oK7u7tSz8PQ0FD8/PPPGj1kRkVFYcKECUhLS4OZmRl+/vlnHDlyBI8ePcLdu3exc+dOpev4pUuXRBNnZYe3t7fwn3yKgxIlSog+8/b2FrXCv3nzBr/88ouoEla0aFFMmzYN7u7u8PLygqenJ7Zt26bUg2L//v0a9wzS1bVdlVu3buH3338XzZhZr149rFmzBtevX4eXlxeuXr2KZcuWia6FAQEB+Pnnn0X3TEVz5swRPZyULFkSf/zxB86ePYvHjx8L58H27dvRq1cv0W82KipKbcX/06dP+Pnnn/Hp0yfhvYx76+nTp/H48WPcv39f6P2UITk5Gb///nuWAcpLly4JD0vNmjXDhg0bcPXqVXh5eeH8+fOYMGGCqKdyVFQUFi1apHaf2sjNOkluyDg/5EeJAOmJ4eXPnwyKPTg0CYQB6T0HMpiamooCAooCAgKEhO56enr49ttvceTIETx+/Bi3bt3CihUrUKFCBWH91NRUjB8/Xu1De26eL9pIS0vDqFGj4OPjI7xnaWmJ8ePH49y5c/Dy8sK1a9ewZMkSoUdvZGQk1q9fr5PjA8CmTZuwYcMG0XtNmzbFunXrcPPmTeFeP3/+fFGDZlxcHEaNGqVx49LRo0eFUSnt2rXDzp07cf/+fdy/fx87duwQ1VeB9EkXDx48mOn+9u3bJ+ohY2FhgZEjR+Lw4cO4f/8+nj9/jvv37+PgwYMYOXKkqDdfWloa5s+fn6u5tBTPDVX1AVXkz43ixYujQYMGOSrH1atXRX+n4lBEbRgaGop6Hnp4eGhU15MfyqyrHITNmzcXBSs0CWimpqbC3d1dWNZ0chcPDw94e3vj4sWLovdHjhyZab0CSO+8MWfOHEilUuG9GjVqYPny5bh27Zpwfi9fvlw08WJKSgpmzJihcZ1owoQJiIiIgEQiQadOnbB9+3bcvXsXjx8/xvHjx/Hjjz+Keo4FBgYKw0GzMmfOHKHBJ+MemlFXPHfuHEaNGiUKlEVFRamtE0mlUowaNUoUVLewsMCvv/6Ko0eP4uHDh3jw4AEOHz6MIUOGiJ6lN27cqDRsN0N8fDwmTZqElJQUAOmjz4YOHYpDhw7h/v37ePbsGa5cuYKtW7eKJgwBgFWrVuH9+/cafR/qKD7vatubNLty83lXIpGgZs2aovd09bz7+vVr0fmor6+vca5U+etYXk9AyiBiAZExrFne/PnzkZSUhFevXmHHjh3C+yVKlFDbqyg1NRVjxowRtWoMGDAAhw8fRrdu3VCsWDEYGRmhcOHCaNWqFbZs2YJp06YJQcyYmBiMGzdO5b6DgoKwfft2YdnBwQGHDx/G4MGDUaFCBZiZmUFfXx+FChVCnTp1MGXKFOzZs0d08Xvw4EGWDzzAfy0ZJUuWxJo1a3D37l3cuHEDq1evxrBhw7TKI5KdCv6JEydEN7ycdvNWvDAXL148R/vTlOLDl7Yz0WVFsXfg27dvc7zPjCFN8vr06aN1jpGc8vX1xdy5c4VlAwMDLFu2DOvWrUPz5s1ha2sLIyMjFC9eHL1798aJEydElbGnT59i5cqVWR4nKSkJqampcHJyEnokli1bFsbGxihcuDB69+6ttJ9bt25BJpOhTZs2OHToEDp27IgiRYrAyMgI5cqVw+zZszF8+HDRNtomAM/g7+8v6j30ww8/YMWKFWjYsCFsbW1hYGAAW1tbVK9eHbNnz8aKFStEARTFB3EAuHv3rqiiMWXKFMyePRt16tRBoUKFYGBgIOTHWbZsmSgPGQDRNVFbly9fxt69e4VlU1NTbNiwAcuXL0ejRo1gY2MDIyMjlCpVCgMHDsTp06dFgY2oqCiMGTMmy95iiYmJSEpKQokSJXDkyBH8/vvvqFy5MkxNTWFlZYV69eph/fr1onxqAHDo0KFs/205MXnyZFEAsVmzZjh9+jQGDhyIUqVKwcjISJjBccWKFfjrr79EeXT+/fdfjXJQ6vLaLi8yMhLjx48XPShOmDABO3fuRNu2bWFnZwcjIyM4ODigU6dO2L9/PwYPHiysGxgYmGkC7kePHol6bri4uODIkSPo168fSpcuDRMTE+E8aNiwIebPn68UkLh48aIoWCNvyZIlop7LderUwenTpzF48GCULVsWJiYmsLCwQOPGjbFt2zb07dtXWDc6Ohrr1q3L8vsxNDTEvHnz8Pfff+Obb76Bg4MDjIyMULJkSQwZMgQ7duwQ3asvXbqUZc9oTeRmnaSgKFWqlKhh8O7du1n2Pk5OThY98Ldt21ZtyonY2FhIpVKYmppi69atmDVrFipXrgwTExPY2trCzc0Nhw8fFs0GmZKSglmzZqncX26eL9rat2+f6AGwVKlSOHbsGIYOHQpnZ2cYGRnB3t4eXbt2xdGjR9UGW7PD29sbK1asEJb19fUxZ84cbN68Ga1atULhwoWFe32vXr1w4sQJdO/eXVg/JSUFo0eP1qg3EZAeBF6wYAFWr16NevXqwcLCAhYWFnB1dcXatWsxc+ZMUceCxYsXIzw8XGk/CQkJonKbmZlhz549GDVqFKpUqQILCwvo6+vDwsIC1apVw6hRo3D06FHRKKagoKBc7e2bMdw/g7u7e6bXwQyfPn3CzZs3heWcNuID6b0A5ckH3LND/jcYFxeX5WyqqnIQ6oKJiYmoMdLd3V307KLKjRs3hEYlR0fHHAVUsxIWFoYZM2aI6ksjRozAvn370LFjR9jb2wvnd8eOHbF//34MGzZMWFcmk2HSpElZXk+B9LqZoaEhNmzYgGXLlqFhw4awsrKCiYkJKlasiMmTJ2P16tWibY4fP67RKIqoqChIJBLMmTNHuIdm1BWdnZ0xcuRI7NixQ9SIfvnyZZXnLZDeaCEfQCxfvjyOHTuGMWPGoFKlSjAzM4O5uTmqVKmCCRMm4MiRIyhatKiw/rJly1Q2EJ07d050zJUrV2L8+PGoWrUqLCwsYGBggKJFi6Jx48bYuHEjfvjhB2HdlJQUnczyq/i8q00u/Jz4HJ93U1JSMG3aNNE52759e42GMwPK1zFNeuHqCoOIBcj48eNFuX/8/f2xadMmzJ07V7jA6enpYdGiRWormqdOnRINM2nXrh2mT5+uNgAzcOBA/PTTT8LykydPVN4Q3d3dhdYNAJg0aVKW+cGqVKmidLN89eqV2m0y2NnZCRVaKysrFClSBO3atdM6J1qDBg1EF7GzZ89m2Woo30upXr16Oc7LpNhir+kFIqcUHwJzmlNGkeLkGfI9abJDKpVi3Lhxom741tbWOs2Dp6m///5blMdy6tSp6NSpU6brGxkZYenSpaIek7t379b4QXzBggWZTsrSqFEjpZuFnZ0dFi9enGnQZejQoaIKzbNnzzQqhyJvb29RBTCrGQ3btGkjCrq9ePFC6ff/4sUL0XJW+xw4cKCoQuDp6alxWgJ5MplM9NAFpE/0oS7JtoWFBdatW4fy5csL7z179kypNT4zq1atUjuk4rfffhM91Gk7w6IuuLu7i3qqVqxYEX/99Zfa1AetW7dWGlquWEHPjK6u7fJ2794tmnhs8ODBGDJkSKbr6+npYdKkSaKHwXPnzqkcpqk4KdYff/yRZY7R5s2bi3qCxsfHq2zlDwwMFDVs2dvbY/369Znm65JIJJg+fbroN3X8+PEsAxhDhgxRe55VrlxZNGRQKpVqnH5EndyskxQk8g2NaWlpSr8ZRVeuXBHdGzRtqFywYEGmqVUMDQ3x559/iu4Vjx49UhpeBuTu+aINqVQqCrgbGxtjw4YNmT54GhkZ4c8//0TVqlVzdFx5K1asEAVTf/vtN1GgXpGhoSEWLlwo6jUdHBws6hGozogRI9QOz/3uu+/w7bffCsvR0dEqeyNev35ddG8dPnx4lsExR0dHpUkOdDUhjSoSiUQ0AWRsbGyWw79PnjwpPFRLJBJRwDa75K9lVlZWWuc2VtSgQQNRPT6rHoB3794VRnM4ODjodOIoxSHNWdUh5BuUdRXMzMz69etF6T/69u2L0aNHZ5ovTiKRYOzYsaLzIy4uDps3b9boeOPGjVPqYSevdevWovpeVFSUUn00M999953a60K1atVEn6elpakcdREXF4etW7cKy4UKFcLff/+tNj9j2bJlsXHjRqFOn5KSgo0bNyqtJ/+32NraiiaeUWX8+PGi/L2q7hXa+lKfdxWvGTl93gXSU9PJ92I3NDTEb7/9pvH2itf7nIw40xaDiAWIqmHN69atE12Afvjhh0xn4M2wc+dO4bW+vr7GudB++eUXUVfs3bt3K61TuHBhdO3aFbVr10aZMmU0zl2lmFxW0yEwP/zwQ45v9ED6TSljco+M46t7IHn58qXaoUrZofiAJ59PJTcpfte6vqgq5nyQz2GjrbS0NEyZMkUpx9f8+fN1Xu6sREdHi4bdlC1bVmmIsCr6+voYOXKksJyQkCBK5p2ZOnXqZHluK7YWd+/eXW2Qx8zMTDRBkzY5TNXR5IFj3LhxWLduHY4fP4779+8rBUQUA4Ca7HPOnDnYtGmTMIOdNkmLMzx//lzUeuvq6qo2MJzB2NgY06ZNE72n6hqpqF69elkOqTAxMRHlSI2Pj8/zmcgzZsDMMG3aNI16BHbr1k30MPTixQuNerXo6tqeQSaTif49rK2tlSZ5yox8HkqZTKayJb5UqVLo2LEjatSogXr16ikNa8lMlSpVRMuq7n0nTpwQBTCGDRuWZcJ/IyMjIchgbGyMkiVLinLrKTIzM8Mvv/ySZXkVh9BomlNJndyskxQkHTp0EN0Psxq2KT9cs0SJEqhfv36Wx2jUqFGWkzEYGRlh/PjxovcUR1/k9vmijVu3biE4OFhY7tevX5b5oAwMDHKc5zdDeHi4KM+Zo6Oj2mBqBolEgtmzZ4vuQ5p8F/b29hqdi6NHjxZdg1X1UDc2NkaPHj3g6uqKEiVKaJw3MLt18uzq0aOH6HvS5tzQRSM+AFF+Om0nwlHFwMBA9Ax06dIltZ0T5Icy6zoHYbNmzUSNWuoCmsnJyaI8mDmd3EUdqVQq6pBhbm6OiRMnarTtlClTRNfTgwcPZtn5w8zMTG2QL4NiPkxNejkCEPXay8m+jx07hujoaGF5yJAhKFasWJb7dnFxEfU0P3funKghCBDXraOiokTXVlWMjIywfPlybNmyBe7u7kqzKmfHl/q8q5jXMSfPu0B645Viw9OECRO0ut5ZWFiIfjuKE7TkJgYRC5h69eqJhjXLP1iUL18eY8eOVbt9TEwMnj59KizXrVtX1P1ZHSsrK9FwnHv37inlSencuTOWLFmCPXv24MyZM2pnXZWnGOjQNAG/pjkBNKFNJUb+pmdmZia6aGeXYq+L7PSiyg7FCQB0ndxWV39HamoqpkyZopSnbsiQIbk6e2Bm7t+/L6qwuLm5aVzpa9Cggajyo0nPMk0eIBVnw9SkJVs+GJHdG55ihXvWrFlZDgGpVKkSWrVqhYoVK6pMLizfqw9IfzC9cuWK2t9T3bp10bx5c2God3bcuHFDtKxNsvaGDRuKbu6KvxFVsgoMZ1BMb6DNxB05lZqaKmqsKlmypEa/xwyKvds0acnW5bUdSM8pI5+zs2XLlhontS5durRomIqq83XAgAFYvnw59u/fLwqKZUWTe5987l2JRKJxz5BevXrh0qVLePz4MU6ePAkXF5dM161du7ZG137F3l85DWbndp2kIDE3Nxfls3v58qVSbqgMkZGRosYyxfpJZrLqsZ2hadOmot4fite93D5ftKHYoCvf4KtOnTp1dDLZ2u3bt0X3nR49emh8ry9VqpToWunr65vlQ3vXrl01qjtbW1ujadOmon0rBiSaNWuGhQsXYseOHfDw8NB4xuzs1smzy8nJSXQuX716NdPA5atXr0S9qXTRiB8eHi66p6qblFIb8j0AY2NjM500Krs5CDVlZGQk6nF2/vz5TIc0X716VbiulytXTu19I6eePn0qCpa1b98+yx78GSwtLUXfb3x8fJa9rKpUqaLRxJGK9S1N0hAUL15c1Cifk30r1pE0acjOID90XSqVKuUBlK9bS6VS/Pzzz1nmyWvatCmaNGmCUqVKafxcr05Bed6VT7ejC7r8O1asWKGU8qZDhw4YNGiQ1vtSTE+RV983g4gF0Pjx45UuVIaGhliyZEmWPUMePXokqmRXqlRJq2NXrFhReB0TE5PtYSppaWnw9/fHuXPnsGjRIqV8TZo8CFhYWCgFGnLCyclJFHS5fPkyYmNjldaTSqWiVvv27dvrZDZjxX3ID5PNTYoPjqr+5pxQrAhm57vKmPFbvvUZSL+xKvaoyCuKvam0OZcMDAxEQ281yVGR2TBmxf3K0+RhXBcVAmdnZ9HwuZiYGEyYMAGNGzfG2LFjcfDgQY3ynMpr2LChaDhmcHAwhg4diqZNm2LKlCk4efKkUgurLihWQrWd4Eg+QXRiYmKmQYIMmuZkUTxPs8pppEs+Pj6iALO2SbAVv8OsKvq6vrYDOTtfAfG97/Xr19m+TqampuLNmzc4ceIEZs+erdTKrKpyJ98ztlSpUhq32pubm6N48eIaBZ80bdlWDCTldKa/glInySua5l8+ffq0kBpGcbinOpoG9/X19UXDfT98+CAa6lVQzhdAfL0wMTHRKqihi8nWFCdE0faeoO31T5vrq2Iv9pwMVfvw4QMuXbqEFStWYN68eaLP8iI4L39upKSkZNpbLjca8RXrErrqoeTq6ooiRYoIy5n9Tbdu3RJGgpQsWVI0eYiuyAfcwsPDM528TD63b272QgR0f25llV5D0xlts1Pf0nTfivdQVQF6+etvoUKFtMqRL3/tBZSfL9zc3ETDk1+9eoVvv/0WLVu2xOzZs3HhwoVcH+lSUJ53c9pTUJF8QBzI3vNuWloaZs6cqRRAdHV11XhyQkXygfmkpCSd/92Zyfm0UKRzpqamGDJkiCgZdtu2bZWGH6ii2AK6fft20UQo2goNDVX7sJeUlITHjx/D29sbfn5+8Pf3R2BgIPz9/XN80bCzs8vWcEV1unfvLszqmpSUhHPnzin1RLp586aohV6bnkrqODg4iIaThoSEaF1xzw7FFlddD1tRvKhqm/siLCwMI0aMUEp63alTJyxZskSnQz60oXgu/frrr9neV0REBFJTU9XOxJedlnFNe47owoIFC9C3b1/R5A+RkZE4ffq0UCl1dnZGkyZN0KxZMzRs2FBto4eenh5WrlyJ7777TnTDCw0NxeHDh3H48GFIJBJUqFABTZo0QfPmzVG3bt0cT64jn3Da0NBQo5ZleYq5DbMKdGra6q74O8/LHleKw9zV5W9UxcnJCYaGhkJQJLNE4hly49queL7Onz8f8+fPz9a+ZDIZwsLCspzk4vHjx3j16hV8fX0REBCAwMBABAQEiPIGq9q3vLi4OFFwR11OpJyQf6jQRk5btPO6TpLf6tevjxIlSiAwMBBAem63sWPHKv3e5QMl9evX1+jf3dbWVuOeZgCUrm1BQUFCgDqvzxd15POEFi9eXKtrvC56Iiper7Tdp7b3BE0aDDMo/htmlYMrNTUVT58+xYsXL+Dr6yvUyd+/f6+2d3te9Fxp37495s2bJ5TjxIkTSkNP09LSRIF3xRQB2aXYGyy7v1VF+vr6aNu2rZAaIGOWZsW6T14E7ho3bgwrKyuhTn7mzBml3KkJCQmifJS5nQ9R8dzStm6h7bmlaXA4O/UtTfeteK1XPLekUqnoPI6KilIKDGpD/nkVSP9tL1u2DMOHDxcFMAMDA7Fnzx7s2bNHaGRq0qQJWrRogWrVqum0Tubg4CAagaDpcPGcyu3n3ZzmeoyPj8f48eOVJiCsX78+NmzYkO0RVoq/zfj4eJ1d49RhT8QCSvEGpOlslYoBnZzKbEKIDx8+YPr06WjYsCEGDBiAefPmYceOHbh8+TJev36tFEBUFzzJTG7kUGjfvr2oQqKql4B85b5kyZI6S36sWHFUnEUqtyj2hNL1cRV7hmjaWgek92Do3bu3UgCxd+/eWLp0aZ7PxixP1+dSVjez7MxIq+tAjDrFixfHwYMH1fYK8PX1xc6dOzF06FA0bNgQ06dPV9tDsVKlSjh06BAaNGig8nOZTAZvb29s2bIFAwcORJMmTbB48eIc5XaUv6Zl5yarGIzJ6t9V18MpcoPi95mdgJN8JSar7yQ3ru15db76+Pjgt99+Q6NGjTB48GAsWrQIe/fuxfXr1/Hu3TulAGJW9z7FHly5VfHLzj1YF/KqTlJQKPYqDAwMVBpK5ufnJ+o9oulwTW3PS8UHC/nfWl7f39SRL4u2v//sBsfl5TQZv2L+0qy+C232r7huZvuOiIjA4sWL0aRJE/Tt2xezZ8/G9u3bcfHiRbx8+VIpgJgf1wNzc3NRDsF79+4p1Q9u374tCjjoYigzoNyjWpcNsIpDmq9fv650bPkchLkVuDMyMhKl/lE1pPnSpUvCb6FKlSpaB/W0pXhuaXu+antu5WZ9S1f7joqK0mnQXtV30qxZM+zZsyfTzkdSqRSPHz/GX3/9hd69e6Nly5b466+/dJZGR/F5Vxe5lTVRkJ93g4OD8e233yoFEFu0aIFNmzbl6Jqk6xEkmmIQ8Quj67wmSUlJSu+5u7ujQ4cOOHDgQKZdZgsVKoQGDRpg2LBh2L59O2bPnq31sXUxDFORubm5KAji6ekpqrDExcWJbva6qsAAUJpJMLsz5Sp68+aN2p4/isdVDNjlRFxcHHx8fETvadq78urVq+jXr5/QYyPDL7/8gnnz5uVbD8QMuj6XsuqZm5cBwexycHDA6tWrce7cOYwePRpVq1bNtNyxsbE4cOAAOnTogHPnzmW6z9KlS+Off/7B0aNHMXToULW9jMLDw7F161a0a9cuyxwvmclpDz/F7fMz0K0ruqjQyn8vWZ27uXFtz4vzddeuXejSpQvOnDmj8t4IAEWKFEHTpk0xevRo7N27N8sJFD6H8z4n8qJOUtB0795d9O+q2Fgp31BpYWGh8QR12p43igEE+WtVXt/fNKVtGgddX7uyQ7HMWV3/tCmzYtlUBTLu37+PDh06YOvWrZk2sJmbm6NOnTr48ccfsXHjRqWhdHlFvk4tk8mUZjCXPzdKlSqls0Z8xR4+unzIrlu3Luzs7IRlxSHN165dEwLl5cuXz3L27JzIakizfI/I3O6FCOT9ufU5yKtrb/Xq1XHkyBHs2rULAwYMUDvqJigoCKtXr4abmxvevn2b4zLl1vOuv7+/2pyzufm8Cyink9D0edfLywu9evVSmgW8a9eu+Ouvv3IcoFasF+l67oPMcDjzF0axlWfFihU67Tr/8OFD/Pbbb6ILu52dHZo3b45q1aqhXLlyKF26tNKQmwMHDuisDDnVvXt3YbbctLQ0nD59Gj/++COA9Ja7jGEPenp6Gucp0oRiLqPM8pVoa/r06Xj48CHKlSuH+vXrY8CAAaLWxSZNmkAikQgV1ydPniA+Pl4nLbGenp6iSkKZMmWUEvOrsn//fsyePVv0O9LX18f06dOFGUfzm+K5dOPGDVHum6+Zs7MzRowYgREjRiA8PBy3b9/GnTt34OnpqVQBSUxMxPjx41GyZEm1N9xKlSqhUqVKGD9+PIKDg3H79m14enrC09NTKdAcFRWFoUOH4syZM7C3t9eq7PK94LKTx0uxB09eDinPLYqt/dr2UpLJZKLvMj++E8Xzdf/+/UqzmefEmTNnMGfOHNF7Tk5OaNq0KapUqYKyZcuiTJkySt+l4kzzihR7ZeZVLpu8ktt1koLIyckJ9erVE+7xZ8+exYwZM4TeX/KTurm5uWlc4df2eqW4vvxvM7fPF20UKlRIGN6n7e9fFzmeFc/BmJgYra5h2ubJ0mQSB/myyFO8vrx//x4///yz6HsrVKgQmjVrhho1aqBcuXIoU6YMHBwcRNvJT+aUl1xdXeHo6Cj0TDpx4gSGDh0KIP17kZ98RJeN+Ir/ntr8G2RFT08P7du3x44dOwAoD2nOy8Bdo0aNYG1tLfQAPHv2rDCkOTY2VpjESCKR5Ml1WPHc0rZuofj7/xLrW02bNsXmzZtz7Xh169ZF3bp1MX36dPj5+Qn19du3byulR/jw4QN++uknnDlzJkeBLcUJBZ88eYLExMQcB8tWrVqFEydOCJP/9e3bV5Q3tlatWrCwsBDuCwEBAfD399c6bZEq3t7eouH0FhYWGuXkvXz5Mn777Tela84vv/yCcePG5bhcgHIQMa/Ok88/pE8iisE7+VwzujB37lxR4GfgwIHw8PDA/Pnz0a9fP9StW1dlzp6C9GCUUYnJIF9pOX/+vPC6UaNGomnTc6patWqiilxAQECOW2ciIiLw5MkTyGQyvH79WuWsoXZ2dqhXr56wnJCQIARRc2rPnj2iZU16VGzatAkzZswQ/Y7MzMzw119/FZgAIpD759KXwtbWFm5ubpg9ezbOnDmDixcvYuzYsaKKUkpKilY9H4oWLYpu3bph4cKF8PDwwKlTpzB06FBRBSQ2NjZbudXkA8EpKSlaD3dQDJJqkxC7oFIMjr97906r7X19fUWt65o0JOhabp6vKSkpShMRTJgwAe7u7pg1axZ69eqFWrVqKT0cAFkHOYyMjERBB22H/fj7++fZ0JXs+Fqvo927dxdeR0ZGCgHFly9fiq452gRKPn36pNW/tfx5rKenJ3qQKkj/LvL1rMDAQLU5RRXpYria4vVP25442t4TPnz4oPG+Fa/FipOpLVmyRFS/7tChAzw8PPDnn39iwIABaNiwoVIAEdD9BHuaUhzu/+rVK/j5+QFIb6jNGE6p60Z8xVxpOUmJoop8D8CYmBhhNvTExETR8MXcDiIaGBiIZog/f/680NB/4cIFIdhQu3ZtnT7fZCandQvF4aP5UbfQNWNjY9E9P69SWwHpvXv79u2LZcuW4fr16zh48CD69+8v6qUeFBSEQ4cO5eg4dnZ2qFmzprCckJAgBLCzKyUlRTiv3r9/jwMHDigFpQ0NDZWeQzPyleaU4vNuixYtshwdcPz4cYwYMUIUQDQwMMDcuXN1FkAExLlCTU1N86wnIoOIXxjFGb+0bW388OEDgoODVXZBf/36tSjoVbVqVUybNk2jXG6KN468mn5cFYlEIqrgP3r0CGFhYUhKSsLNmzeF93XZCgqkV4o6deokek9V0E8b+/fvFz28V6xYUWWOE8Xg3D///JPjB09vb29cu3ZNWNbX11dKkq1o06ZNWLZsmeg9Ozs77Nq1C998802OyqNrirMiansuvX37NssJJj4nSUlJePXqFZ4/f652PUdHRwwbNgx79uwR3WAVZ+kD0pP/Pn/+PMsZV8uVK4fx48dj/fr1ovdV7TMritdIbYZFy2Qy0fAIQ0NDjWe9LcjKly8varlUnLk1K4rrazojtS7l9Hz19/dHSEiIynvTjRs3RC327dq1w5AhQzQaWuXr6ytaVrV/+SE4fn5+Gs+cGBMTgzZt2qB69epo0qQJ/vrrL422y0u5WScpyBTzL2ekSbl48aLwXunSpbWaXTglJUU0k3dW68pfqytVqiQa0pmb54u25B82U1JS4O3trfG2OZmtOINiD0xtU2UoXv/KlSundv2s7qHy5O83+vr6ovMpJiZGNEmGg4MDlixZolFeSW2DObqkONw/49yQD7Y1atRIKWCaEzY2NqJecepyNWdH7dq1ReXN6Jxw5coVITBarVq1PKkvyAc0w8LCcO/ePQDiYdZ5MZQZ0P25lR91i9wgfx77+vpq1bCQkJCAN2/eqO1NGx0djSdPnqhtlJRIJKhWrRpmz56NP/74Q/RZdurWirp06SJazuipm13nzp0TPVNZW1srjfADgP79+4uWDx48mONGg9DQUFGqBQD47rvv1G5z/PhxTJo0SfSMbm5ujo0bN6JPnz45Ko8i+d+PNhN35RSDiF+YokWLin5Ad+/eVXqIyYxMJsPQoUOFocktW7YU/TAVKx2qTl5VkpOTlYZ0aZv3Rte6desmVGLS0tLg4eGB27dvCzd7KysrUYJiXRkwYIAosHL8+PFs90YMDw/Htm3blPavSrt27eDi4iIs+/n5YenSpdk6LpD+bzpp0iTRA0TXrl3VtsAfPXpUKYBYpkwZ7Nu3T6OZx/Oaq6urqKJ75MgRjXOZfPz4EV26dEHDhg1Ro0YNfP/997lVzDzRvXt31KxZE507d8b06dM12qZs2bKi3D/yQZiEhAS0aNECtWrVQvfu3bFy5UqN9pkxVEfVPjWleN06ePCgxtveunVLNLS6Zs2an8XEKVnR19dHnTp1hGV/f3/cvn1b4+0VW601vTfoUvXq1UWtr+7u7hoPnUpMTESfPn3QtGlTVK9eHR07dhQND8nuvS8iIgJ3794Vvafq3ief9ystLU0pp1Zmrl27BplMBplMhtDQ0AKZbiE36yR5Ibs5K83MzNC+fXthOSN4KB/0yU5DpWIOucxcvHhRFIxu0aKF6PPcPF+01bRpU9HyqVOnNNrOx8dHKcdUdtStW1fpXq9p0NrPz08I0gDpvRCzGjonP/pFncDAQHh6egrL1atXF/Vgev/+vahOUqtWLY0naJPP/Q3kbZ3c0dFRNDrmwoULkMlkoueEnj176vy48g3suu79JZFIROe7h4cHUlNT8yVw16BBA1HPS3d3d9GEL/r6+qKyZoem18UqVaqIfrNnz57VuBdsTEyM6FwxMjLSqtGlIFOsQ2iT8mv37t1wc3NDzZo10aBBA1Fw7v3792jUqBHq1auH3r17a9xRRT7wDGQ9C7YmunfvLpq9+M6dO0qTimgqOTkZa9euFb3Xv39/lRNEVa9eXdQpJTo6GtOmTcvWcTNMmzZNNOmMq6srateunen6t27dwtSpU0X3ETs7O+zevRtNmjTJUVkUxcfHi/69cnuyJHkMIn6B5HuDSaVSzJs3T6MK0cGDB/Hq1SsA6YlfraysRN3dFVucNY3sL1u2TKnir81wldygqhIj30OgY8eO2Z5qXZ1ixYqhX79+wnJqaip+//13rVtJpFIppk+fLtrOyclJ1MNSnp6eHqZPny7qObNjx45sdVmXSqWYOXOmqPJuaWmJ8ePHZ7rN27dvlVq6XFxcsGvXrgI7PKFYsWJo3ry5sOzv748tW7ZotO3SpUuF33hiYmKBDJJqo3jx4sI15NmzZxr1/khNTRUlQJa/lpiamoqCgZcvX1abLDlDZGSkqAKaneE4NWrUEOVmvHv3rkYP5snJyVi4cKHoPV0Ot8pv8tclAFiwYIFGvZVPnDgh6l1QokQJpXw4ecHIyEgUlImJicGff/6p0bbr168XWriTk5Ph7Owsuv5n9943c+ZMpaTnqu59PXr0EA0n2rhxY5azJMpkMlEjkqGhIVq1aqVRufJabtVJ8oLixEna9IiUvx8HBwfDw8MDT58+FfbbtWtXrctz4MCBLIceJyYmYsWKFcKyvr6+UsAyN88XbTVt2lRUD9i7d69Gw/qXLFmS7WPKs7e3R8uWLYXlgIAA/P3331luJ5PJMGfOHNH1QZN7wqNHj3DmzJks11uwYIHo96bYGJnd69K///6r1NMor+vk8r+9R48ewcPDQ2gULFSoUK404sv3vo2MjNSozqEN+UBMZGQkrl+/jsuXLwNID7opBmpyi76+vmhIc8bzTca/cYMGDVSmndKGYvAms+uigYGBKCAcHx+v8Xm7ZMkS0X2wQ4cOX0SjLZD++5fvULJ9+3aNegeHhYVh06ZNwnJERISoEdLR0VHUIHDixAmN0okpXm910QvYzMxMaWK5GTNmZCuAv2TJEtH3Y2lpKcxloMrkyZNFv5WLFy9izZo1Wh8XAFauXClq4DAwMMDMmTMzXT88PBwTJkwQXVOLFSuG3bt3izrz6MqLFy9E9wLF0R+5iUHEL1Dfvn1FN4hr165h2rRpah8Ib9++rZTzacSIEaJlxSEaZ8+eVdujICUlBUuWLME///yj9JmuZvLLCfkb282bN0UtJLoeyixv7Nixopbqt2/fYtCgQRrnJEpMTMSkSZNEQU89PT3Mnz9fZatMhnr16mHkyJHCskwmw7Rp07Bx40aNH4xiY2Px22+/iXIqSiQSLF68ONNeMDKZDL///ruoMlC8eHFs2bJFKU9NQTNs2DBR4HXlypVZ5tfYtGmTaDZOExMT/PTTT7lWxryg2Ctg4sSJCAkJUbvNmjVrRK1jisPV5feZnJyMcePGqW2hlslkmD9/vqjnRXaHwA8fPly0PH36dFEPIUVxcXEYMWKEENAA0ociKg7X+Jy1atUKFStWFJa9vb0xcuRItRXQS5cuYcaMGaL3Ro4cmW8zKA4ePFhUcdy3bx9WrFihdsjlyZMnRZVyiUSCX3/9VbSO4hCq/fv3q01VEBcXh4kTJ6rscaSqx5ajo6PoAdPf3x9jxozJdLiSTCbDkiVLRMH8Ll26FMieiEDu1UnyguIkGRkTFmiiXr16onv9vHnzhN9ikyZNVOaqy0p8fDx+/fXXTK+/iYmJGD16tKhu1rNnT1Ee6Ay5db5oS09PT7SP+Ph4DB8+HKGhoSrXl8lkWLhwYZaTFmlD8V6/atUq7N+/P9P1U1JSMG3aNKF3F5A+ZDaz0SCKpk2blunQTplMhkWLFol6C5YtW1ap91ipUqVEgYi7d++KekWq2u/WrVtVBnHyuk7erl07Ybh/Wloa5s+fL3zWsWNHjXtUakO+4wCguxljM9SsWVMUDF+4cKFQ761bt65Oh2dnRf5+8uHDB6xbt05Y1kWPSMWJG9RdF3/88UdRr+d9+/Zh9erVmV5nZDIZVq9eLTr/jIyMMGzYsJwVugBxcHBAr169hOW4uDj8/PPPalP7REdHY8SIEaLvumXLlqJGcT09PVHj1adPnzBlyhS1jQTJyclYsGCB6D1dpZcaOHCgqPfop0+fMHDgQHh5eWm0vVQqxZIlS5SGQk+fPl1lDuoMzs7OShPhrV27FnPnztU4lVdycjLmzJmjlEZpypQpKF++fKbbzZo1S3TvsrKywpYtW3ItlYFieoy8bMRnEPELZGFhgWXLlola0A8fPoxOnTphz549QiL2T58+4c6dOxg/fjwGDx4sqkR06NBB1JIFpFdiqlSpIizHx8ejf//+2LVrFwICApCSkoLIyEi8fPkSmzZtQqdOnbBlyxaVN4r8Suosr127dsIDQnJysnDSly9fPlcj+ebm5li7dq1odkRvb2907doVK1euVFtxvnDhAnr27CkKUgHAmDFjNBpi9+uvv4ryI8pkMixfvhw9e/bE1atXMx2uGxsbi/3796Ndu3aiB2OJRIKpU6eq7QFz4cIFUWVNT08Py5cvL7APvPJq1aolenBNS0vDH3/8gUGDBuHcuXNCovuAgACcP38e/fv3VxqyPXHixGw9LBYk33zzjajr/rt379C5c2ds3LgR3t7eSEhIQGpqKsLCwnDlyhUMGzZMNJGKlZUVhgwZItpnr169RDfV+/fvo0uXLti5cyfevn2LpKQkpKam4uPHj3B3d8d3330nmtXU0dEx23lF2rVrJ9o2ISEBw4cPx/jx43Hr1i1ERkYiOTkZ79+/x86dO+Hm5iZKCm1iYoIlS5bkyoNOfpFIJFi5cqUoaHLlyhW4ublhx44d8PPzQ3JyMqKionDr1i2MHz8ew4cPFwW62rdvn6sNMFlxdHRU6vG8YcMG9OzZE0ePHkVwcDCSk5MRHByMa9euYejQoRg/fryoEWXw4MGi+xwANGzYUDQL+MePH9G7d28cPXoUHz9+RGpqKsLDw+Hl5YWVK1eiQ4cOSvlzMmSW73DGjBmiXnZXr15Fp06dsG/fPmGyicjISFy+fBkDBw7E1q1bhXXt7OwwYcIEzb+oPJZbdZK8YGdnJ1reuXMnXr16Jfybq6M4iYR8KoScnCevX79G586dsW3bNuG7+/jxo/CdygfXHB0dM/1t5Nb5kh29evVCgwYNhOVXr16hU6dO2Lp1q3DtCQ8Px/nz59GvXz+Vk2pld+g5kN57Y8yYMcKyVCrFjBkzMGTIEHh4eCA8PBzJycn48OEDDh06hC5duohGcmQ05GrSMKqvr4+4uDgMGjQICxcuxMuXL5GQkIDIyEh4eHjg22+/FfUyNjExwcqVK5UaiS0tLUUP+2lpafj555+xceNGvHv3DsnJyYiNjcXr16+xa9cu9OjRA4sXL1YZUMjrOrnicH9dnRvquLq6iq5BGZMd6VK7du2E1/KB/Lyekb5+/fqiOnZGWQwNDXVyHbW0tBQFBk+cOIF79+4hNTUV0dHRot9Y8eLFMXfuXNH2f/31F/r27YvTp08jJCQEKSkpCA0NxenTp9G3b1+l/L6TJ09GmTJlclzugmTSpEmilD/+/v7o0aMHFixYgMePHyM2Nhbx8fHw9vbGpk2b0L59e1GOVBsbG5XphX766SfRSJ9z586hR48eOHTokHC/SE5ORmBgII4dO4aePXuK0ibUrFlTZ6Ma9PX1sWLFClGqq6CgIPTv3x9z585V2yvx9u3b+O6775RGgPXp00ejHt9du3ZVGiG3c+dOdOzYEadPn840BUdSUhJOnz6Njh07YteuXaLPBg8erDY91fPnz5Uaj//4449czeUpnzLH2to6T0e+Zd5tiT5rDRs2xNKlSzFlyhThRPHz88Ps2bOz3LZRo0ZKrRIZZs+ejQEDBgiV+/DwcKVovyrffPMNrl69KnSzzsvZqDJjamqKdu3a4fDhw6L38+Ih2MXFBZs3b8avv/4qDOGIj4/H+vXrsWnTJlSrVg0VK1aEjY0NEhMT8eHDB9y7d09lnopx48YpdRnPjEQiwaxZs2BnZ4e1a9cK/x7Pnz/Hzz//DGtra9StWxcODg6wsLBAeHg4AgICcO/ePaWKp5mZGebOnas0WYwixRtAWlqa0tBJTY0cORKjRo3K1rbZNWLECMTExIgeWm7fvq1RzrihQ4dmmXz3cyCRSLB06VJ89913whCgyMhILF++HMuXL1e7rampKTZu3CgKwmS8v3z5cvz4449CYCUwMFCpsqlK4cKFsXnz5hzNQDZjxgzEx8cLQ5llMhlOnjyZ5dBmS0tLrFmzJk+HDOSVMmXKYMOGDRg1apTQ2h0cHKzUI0yVdu3a6Wx4YU5069YN4eHhWLp0qWgI/qRJk7LctkuXLirTMhgZGWHWrFkYNWqUsM+AgACN9tm6dWtRj6LM7n3W1tbYuHEjfvnlFyH9R0BAgNphMxnbbd68WZR7qCDKrTpJbitcuDCcnJyEf7cPHz6gc+fOwucXLlxQmwOve/fuWLt2ragx1draWjR8Vhv169eHp6cnIiMjsWjRIixatCjTdYsVK4YtW7aIGiwV5cb5kl2rV6/GgAEDhIlVIiMjsXjxYixevFjl+sWLF4etra0wRDynjTq//PILoqKiRAH6a9euiSaQU8XQ0BALFizQ+MF78uTJWLBgAVJSUrB9+3aVAdEMZmZmWL16tSjYIG/ixIm4e/euMJQ5Pj5eo/tyrVq18P79e6FOmR918h49eijVvytUqKA06Y+u2NjYoGHDhkLv0YyZXnWpQ4cOot8PkD78Mac5CLWlp6eHtm3bKo2cadasmdrrgTaqV68uBJ9iYmJEdd1//vlH1CjQuXNnhIeHY/HixcJzx+PHjzF27Fi1x5BIJBg/fvwXUY9WlFE3HjZsmHDNS0xMxD///KNyBJ88a2trrF+/XmU6KDs7OyxZsgQjRowQnttevXqFqVOnZlkmZ2dnrFu3LkcNMoqKFSuGbdu24ZdffhGC2SkpKdi5cyd27tyJSpUqoUqVKihcuDBSUlIQEhKC+/fvq8x/3L9/f8yaNUvjYw8dOhQ2NjaYN2+eELd4//49xo4dCzMzM7i6uqJo0aKwtrZGREQEgoODcffuXaV0MoaGhhg3bhwGDx6s9niqUl6NHTs2y9+5Kt27d1d7fwfSn6fln0XbtWunlIIlN7En4hesY8eO2L17t9rkn/KMjIwwYsQIbNq0Samreobq1atj48aNSq3zmbG2tsbs2bOxfv16USvSnTt3CsRsi4rDNA0MDPJsiGKNGjVw5MgRpYcJqVSKR48eYd++fdiwYQO2b9+Oc+fOKQUQS5Qogc2bN2scQJT366+/YteuXUo9CCIjI3HhwgXs2rULGzduxIEDB3Dr1i2lAGLLli1x8uTJLAOIERERePTokdblK0gkEgmmTJmC5cuXa5y/0c7ODsuXL9fpA1Z+c3R0xJ49e7RKCuzq6oq9e/dmeg2qVq0adu3apdVDQ5s2bbB//36ULl1a421UMTIywrJlyzBz5kyN8wO1atUKR48eRcOGDXN07ILM1dUVBw8eVJqIITNFihTB3LlzsWrVqlzJI5sdgwcPxpYtWzJ98FZkaWmJ6dOnY8mSJZlWwFq3bo1ly5ZpNPMpkF5xXr16NdauXSvq3amu8aFixYo4cOAA2rVrp1Elvl69ejh06FCu5NnJDblRJ8kLM2bMEA0blZfVTMIlSpRQGiXQuXPnbAe85s2bh0GDBmWZMsDNzQ2HDx/WKMl6bpwv2VGoUCH8888/WdYrAKBOnTrYtWuXqJd/ToOIEokEkyZNwooVKzS+19erVw8HDx7Uqt7Ytm1bLFu2DJaWlmrXq1q1Kvbs2aM08Yw8JycnbN++XeNk+mZmZhgzZgx27Nghuu8+e/ZM41nhdaVevXpKQ/xyuxFfvgHg9evXGuXe1Eb16tWVGhUUJzrJK6p6P+pycpfJkycrpXvIoOq6OGjQIK2uMxUrVsSOHTvw888/56icBVnx4sWxd+9efP/99xpfvxo1aoT9+/ernWSmefPm2LZtm8bXBT09PfTq1Qt79uzJcb5MVZydnXHo0CH06NFD6d714sULHDx4EBs3bsTWrVtx8uRJpQCijY0NlixZgtmzZ2sd4OzduzcOHz4sCmoD6Q0uly9fxt69e7Fhwwbs27dPNJt6hrp16+LQoUNZBhBlMploxFJeePDgAaKiooTlvE6xxJ6IX7iMSsjdu3fh4eGBO3fu4OPHj4iMjISBgQGsra1RsWJFNGjQAF26dNHo4tGgQQOcPXsWR48exeXLl+Ht7Y3IyEjIZDJYWFigWLFiqFChAurXry8aMty2bVu8fv0aQHpehIsXL+bL8CR5devWRYkSJYShFM2aNcvTYbb29vZYv349Hjx4gAMHDuDixYuiC4IiiUSCypUro2/fvujSpUuOemLVqlULhw4dgoeHBw4fPoyrV6+qzRVRpEgRtGrVCt9++63GD60BAQFq8yt9Tjp27Ii2bdvi/PnzuH79Oh4/foxPnz4hNjYWJiYmKFKkCKpWrYrmzZujbdu2X0wCaHkZuSyfPHmCM2fOwMvLC76+voiJiYFUKoWtrS3s7e3h6uqKli1bihI+ZyYjcOLp6Ql3d3c8e/YM/v7+iImJgUQiQeHChVG0aFE0atQIrVu3FuV/0YXvvvsO3bt3x+nTp3H9+nU8f/4c4eHhSEhIgIWFBcqUKQNXV1d06tRJbR6UL4mTkxM2btyIp0+fwt3dHbdv30ZQUBAiIyOhr68PBwcHVK5cGS1btkS7du0KTPBQXqNGjXD8+HFcuXIFV65cwYMHDxAaGoro6GgYGhrC1tYWlSpVQtOmTeHm5pblAz2Q/lDWoEEDHDx4ENevX4ePjw+io6Ohp6cHS0tLFC9eHC4uLmjYsCFat24tPBS0adMGR48eBQB4eXnh+fPnmQ45sbOzw+rVq/Hy5UucOXMGt27dEr57Y2NjODg4oE6dOujUqVO+zIKdU7lRJ8ltzZs3x+7du7Ft2zY8ePAAYWFh0NfXR5EiRTLNWymva9euouBxTgIlenp6mDp1Krp27Yp9+/bh9u3b+PjxI/T09ODk5ARXV1f06tVL68Bybpwv2WFjY4Nly5Zh0KBBOHnypPD3xcXFoXDhwqhWrRo6d+6Mtm3bQiKRiIa86ypQ4+bmhjZt2sDd3R1Xr17FkydPEBYWhtjYWJibm6NkyZKoW7cu3NzcUKNGjWwdo2PHjqhbty7279+PixcvIjAwEMnJybCzs0P16tXRoUMHtG7dWqMHZhcXF5w4cQKnTp3C+fPn8eLFC4SHh0MqlcLc3Bx2dnaoUKEC6tSpAzc3N6HXctu2bYWJP1JTU3Ho0CH88MMP2fp7sqtLly7CrKt50Yjfrl07LFy4UOhpf/r0aQwdOlSnx+jQoYMob2hezcqsqE6dOrC3txfyp5qamuos1x0AVK5cGQcPHsSWLVtw69YthIWFIS0tDYULF840NVLDhg1x/PhxXL58GZcuXcLDhw8RGhqKmJgYGBsbw8nJCTVr1kS7du3QqFEjnZW1IDMzM8OMGTPw888/4/Tp07h16xbevHmDiIgIpKSkwMLCAiVLlkTNmjXRqVMnjUfB1KtXDydPnsS1a9dw8eJFvHjxAkFBQYiNjYWBgQEKFy6MEiVKoEmTJmjTpk2OG+azYmFhgYULF+LHH3/Enj17cP78+UzTd2UoXbo0+vTpg549e6rNgZiVsmXL4p9//oGnpycOHDgADw8Ptfm+rays0KJFC/Tp00cpl2pmIiIiEB0dne0yZof8yKly5cqhTp06eXp8iexLecInyoa4uDg0btxYeBD466+/cmVWOE1JpVL4+vri1atXCA8PR2xsLCQSiTArZY0aNUS5LnQpKSkJ3t7eeP36NaKiopCYmChUQCtWrIjSpUvn24QJREREn6PVq1cLOb4qVaokBJQ1sWbNGiHIAqTPMqlqkpSvVbdu3fDixQsA6Q/NO3fuzOcSkTYmTZoknA+tW7dWyoWXG5YvX46NGzcCSB8+rZhjnIhyn0wmg7+/P169eiU0FKWlpcHKygr29vaoUaOGxqMetZWSkgIfHx+hE1R8fDzMzMxgY2ODihUroly5cmonKi0IUlJS0LRpUyGVxbx589C7d+88LUPB/oaIcpm7u7sQQLSzs9N4CF9u0dfXR9myZXM1CWtmjI2NUb169S8y1xsREVFek8lkokl28rqS/zkIDAyEl5cXnJyc4OjoqHGPk9jYWLx7905Y1nSYJBUM8fHxokkI8urc+P7777F9+3YkJSXh1atXuHfvnkajJohIdyQSCUqWLJlrsxarY2hoiEqVKul8ZFNeOnv2rBBAtLOzQ9euXfO8DOxWRF+1/fv3C6979+5d4FseiIiI6PNw69YtIe+amZlZvlT0C7qQkBCMGTMGPXr0gKurq9KMmJnZs2ePaDizpsPOqGA4deqUkH+sRIkSaNasWZ4c197eHt9++62wvGPHjjw5LhGRrshft4YPH57jnMDZwSAifbWuXr2KBw8eAEhvlejfv38+l4iIiIi+BKmpqaKhyD179tR4Yp6vSfny5UV5Vf/991+Eh4er3ebatWui77Zw4cLZnvGa8l5sbCz+/vtvYXnAgAF5mi7nl19+Ec7FCxcu4P3793l2bCKinLh37x4eP34MIH3Syz59+uRLORhEpK9CUFAQAgICkJKSgrCwMOzduxe//fab8Hm/fv1gb2+ffwUkIiKiz5aXlxdiY2ORlJSEp0+f4tdff8X9+/cBpPdCHDJkSD6XsGCysLAQzcjs6+uL7t27Y8OGDXj58iUiIiIglUoREREBT09PzJ49G8OHDxf1Qpw6dWqBnOCJ0oPpT58+RXx8POLj43Hv3j0MHjwYfn5+ANJ7Bvbt2zdPy2RjY4PRo0cL5cuLXIxERLqwatUq4fW0adNgaGiYL+XgxCr0VTh9+jTGjh2r8jNHR0ccP35cmEWaCr6KFSvm6v7//fffz3LmUyKiL53iZCO65urqmq0hjh06dMDbt29VfjZz5kx89913Wu/za5lYJSoqCv3798ebN2+03nbs2LEYNmxYLpSKdEEmk6FWrVqZzmS+cePGfMlHLpVK0bt3bzx79gz6+vo4ceJEvuQjJyLS1O3btzFo0CAAQJs2bXK1LpQV9kSkr0JmiVvt7e2xfv16BhCJiIgo20qVKqXy/YEDB4pysJGyQoUKYe/evejWrRskEolG25QoUQLr169nALGAk0gkcHJyUvn+pEmT8m1CQ319fSxevBgmJiaQSqVYtGhRvpSDiEgTUqkUCxcuBADY2tpi1qxZ+VoeziJBXwVnZ2c0aNAAL1++REJCAooVK4aWLVti8ODBuTaFPBEREX0dWrZsiXfv3iEoKAgWFhaoWLEivv/+e7Ru3Tq/i/ZZsLKywuLFizF8+HCcOnUK9+/fh4+PD6KiopCSkgJTU1MUL14cVapUwTfffINWrVpxMrzPRPv27REXF4eQkBBYW1ujatWqGDx4MFxdXfO1XOXLl8fUqVMxc+ZMXL16FR4eHsytSUQF0r59+/Dy5UtIJBIsWrQo3+MXHM5MREREREREREREanE4MxEREREREREREanFICIRERERERERERGpxSAiERERERERERERqcUgIhEREREREREREanFICIRERERERERERGpxSAiERERERERERERqcUgIhEREREREREREanFICIRERERERERERGpxSAiERERERERERERqcUgIhEREREREREREanFICIRERERERERERGpxSAiERERERERERERqWWQ3wUgKghSU1MRExMjes/IyAh6eoyzExERERER0dclLS0NycnJovcsLS1hYMAw0teM//pEAGJiYvD27dv8LgYRERERERFRgVSmTBnY2NjkdzEoH7GbFREREREREREREanFICIRERERERERERGpxSAiERERERERERERqcWciERIn0RFUZkyZWBiYpIPpSHSrfj4ePj6+grLzs7OMDMzy78CEZGA5ydRwcXzk6hg4rmZNxITE5XmDVD13ExfFwYRiQCVszCbmJjA1NQ0H0pDpFtSqVS0bGxszN82UQHB85Oo4OL5SVQw8dzMP6qem+nrwl8AERERERERERERqcUgIhEREREREREREanFICIRERERERERERGpxSAiERERERERERERqcUgIhEREREREREREanFICIRERERERERERGpxSAiERERERERERERqcUgIhEREREREREREanFICIRERERERERERGpxSAiERERERERERERqcUgIhEREREREREREanFICIRERERERERERGpxSAiERERERERERERqWWQ3wUg+hqlpqYiNTUVaWlp+V0U+gokJiYqLevpsQ2pINHT04OBgQEMDHhbJiIiIiKigolPK0R5JCkpCdHR0YiJiUFSUlJ+F4e+IlKpVLQcHBwMfX39fCoNqWNsbAxLS0tYWVnB2Ng4v4tDREREREQkYBCRKJfJZDIEBgYiJiYmv4tCXymJRCLq4SaRSPKxNKROUlISkpKS8OnTJ1haWqJEiRL89yIiIiIiogKBQUSiXMQAIhUEDCJ+nmJiYhAYGMhAIhEREemETCZDdFwyQiMSEBIRj5CIBIRFJSAlNQ1mJgYwMzGEuakhLEwMYWZqAHNTQ5j//z1zU0MYGeixTkL0lWMQkSgXqQogZgxXNDEx4ZBSyhNSqRTJycnCspGREX97BYxUKkViYqJSuoOMQKKjo2M+lo6IiIg+B9I0GcKjEhESEY/Q/wcJ018nIDQyfTkpWZr1jjJhoC8RAotm8sFGuUBj+mtV7xnC1NgAenoMQhJ9zhhEJMolSUlJogCiRCKBk5MTzM3N87FU9DWSSqWiiVQYwC6YLC0tYWdnh7i4OPj7+0MmkwGAEFhkjkQiIqKvW1KKFKH/DwqGRCT8P1AYL7z+FJWItDRZrh0/VSpDVGwyomKTs15ZBYkEMDM2gJl8D8eMoKPce2YmhrAwTX//v9fp7xsacHJAovzEICJRLomOjhYtM4BIRJowNzeHk5MT3r9/L7wXHR0NOzu7fCwVERER5SaZTIa4hBRR70HF/0fGft6TM8pkQFxiKuISUxGKhGztw8hQH2bG+jDQS4OJoR5sLQ3gGhOIZrVLwcbKRMclJiJFDCIS5RL5XojGxsYMIBKRxszNzWFsbCwMbY6JiWEQkYiI6DOWliZDREyiKB9hqML/E5JS87uYBV5yihTJKf8NyQ4IS8YT35fYcvIlKpS0Qf0qRVG/SlE4OVgyfyNRLmAQkSgXpKamivKaWVpa5mNpiOhzZGlpKVxHkpKSkJqaKpogh4iIiAqOlNQ0fIpMUJ2PMCIBoZEJSJWm5Xcxv1gyGeDtFwFvvwj8e/oFihUxFwKKlZxtoa/PYdBEusCnEaJckJoqbkU0MWHXeiLSjuJ1QyqVMohIRERUQMhkMrx6H4GbTz7g3suP8P8YA1nupSMkLX34FIejV97g6JU3sDQzQr3KDqhfpShqVbSHqTHrU0TZxbOHKBekpYlbGTmJBRFpS/G6IZVmfzZFIiIiyrm0NBle+Ibj5pMg3PT6gE+R2cvrR3krJj4ZHvf84XHPH4YGeqhR3g4NqhZFvcpFYcs8ikRaYRCRiIiIiIiISAWpNA1P34bhxpMg3Pb6gIiYz3tyk69dSmoa7r34iHsvPgJ4jIolbVC/alG4VimKksyjSJQlBhGJiIiIiIiI/i8lNQ1PfEJx43EQPJ8FIzouOb+LRLnE+30EvN//P49iYXPUr8o8ikTqMIhIREREREREX7XkFCkeeofgxpMg3HkWjLjEr2OmZHNTQ1iaGSIhKRVxCSlIlX69iR0/hDGPIlFWeCYQERERERHRVycxKRX3X6YHDu+9CEZC0peXf9jWyhh2NmawtzGDnbUp7G1MYWebvmxvYwozE0NhXZlMhuTUNMQnpCA2IQVxiSmIT0gPLsYmpiD+/+/FJaQgLiH1v9f//398YsoX8x2qyqNYv0r6sGfmUaSvGYOIRERERERE9FWIT0zBnecfcfNJEO6/DEFyyucb9DLQl6CItWl6gNDGVC5QaAY7W1PYWZvC0EDzCR4lEgmMDfVhbKgPm2wGyqTSNMT/v1dj7P8Di5kFHdMDj6kK66UgrYB1hpTPo/jXwceoUNIa9asUQ/2qzKNIXx8GEYmIiIiIiOiLFROfDM+nwbjpFYSH3qFIlabld5E0Ymqs/18vwv8HCe1tTGFnbQZ7W1NYW5pAX69gBbD09fVgaWYESzOjbG0vk8mQmCwVAor/BR5Thfcio+PxPigUb4OTEJOQ90HgV+8j8ep9JHacSc+j6FqlKOpXLYrKzKNIXwEGEYmIiIiIiOiLEhmThNtPP+DmkyA88fkEaUHr3gbA2sIYRWzShxiLA4Xpry1MDb+6Xm4SiQSmxgYwNTZAEWtTlevExsbC21sKmUyGDxEp+JRghgevwuH7ITqPS5ueR/HY1Tc4dvUNLM0MUa9y+pDn2syjSF8o/qqJiHJZcHAwLC0tYW5unt9FISIiIvpihUUl4JbXB9x88gHP3n7K12GxenoSFClkAjvFXoRy/zc21HyoMSmTSCQobmuEbyqWxY9daiA4LA53ngfD82kwnr4NQ1oe/wBi4lOU8ii6Vkmf7Zl5FOlLwSAiEVEuSUtLw99//40NGzbgxIkTDCISERER6VhIeDxuegXh5pMPeOEbnm/lqORsi0bVi6G8kw3sbExR2MqEQ1vzWNHC5ujStCy6NC2L2Phk3HsZAs+nH3D/ZQgSkvJ2tm35PIrr5PMoVimKkkWZR5E+XwwiEhHlktjYWCxfvjy/i0FERET0RQkKjcWNJ0G46fUBPv6R+VIGPQlQpUwRNK5eDA2qFUPhQqqH3lL+sDAzQovajmhR2xEpqVJ4+YTB89kHeD4LRlhUYp6XRz6PYtHCZqhfpRia1y6B8k42eV4WopxgEJGIiIiIiIgKtPfB0bjxJD3HYX7kvgMAfT0JqpcrgsY1iqN+lWKwtjTOl3KQdgwN9FHbxR61XewxrEd1vAmIwu1nH3DnWTDeBeX9byk4LF7Io9iwWjH80r0ag9D02WAQkYiIiIiIiAoUmUyGd0HRuPkkCDeeBCEgJDZfymGgr4daFe3QqFpx1K9aNNuzDlPBIJFIUM7JGuWcrPF9+0r4GB6f3kMxn/Io3vL6gNCIeCwa2ZQ5MumzwCAiEX21goOD8ffff+Pq1asIDg6GiYkJKleujL59+8LNzS1H+548eTKOHDkiLLdq1QoA8O+//2Lnzp1wd3dHr169MH/+fJXbT5w4EceOHcPIkSMxatQorFmzBmvXrsXIkSPRtWtXLF26FJ6enkhNTUWZMmXQr18/9OjRA3p6yrl3UlJScODAAZw6dQpv375FSkoKHB0d0aZNGwwePBiFChXK0d9KREREpAsymQyv/SOFwGFwWHy+lMPIUB91XOzRqHpxuFZ2gJmJYb6Ug3Kfg61ZvudR9AmIwsGLr/Fde5c8OR5RTjCISERfpdu3b2PkyJGIiYmBiYkJypQpg7i4ONy+fRu3b9+Gh4cHlixZojIopwlnZ2fUrFkTjx49AgBUrVoVRkZGsLS0RPfu3eHu7g53d3fMmjULRkbiFu2EhAScP38eANC1a1fRZ76+vujduzeioqJQvnx5JCcnw8vLC15eXrh27RqWLVsGA4P/Lu0xMTEYOnQoHjx4kD6DXfHisLKygo+PjzDhy5YtW1C6dOls/Z1EREREORURk4gT197i8oMAhEYk5EsZTI31Ua9SUTSqXhx1XOxhYsxH5a+NOI9iGrzefILn0/Rhz59yOY/i7acfGESkzwKvjET01QkODsaoUaMQExODYcOG4ddff4WxcXpOm3v37mHs2LE4ceIEypYti+HDh2frGMOGDcO3336LevXqAQBWrVoFR0dHAECFChVQuHBhhIWF4cqVK2jTpo1o2wsXLiA+Ph61a9dGyZIlRZ+dPHkS9vb2OHjwIKpWrQoAuH79OkaPHo2zZ8+idu3aGDRokLD+tGnT8ODBA9SoUQOzZs2Cs7MzTExMEBUVhVmzZsHd3R0jR47E0aNHYWjIVnYiIiLKOwlJqTh62QeHL/sgMVma58c3NzFA/arF0KhaMdSqaA8jDiel/zM00EPtivaoXfH/eRQDo+D5NBiezz7kSh7F9x9jkJYmg54eZ22mgo1zzhPRV2fz5s2Ijo5G3759MXbsWCGACAB169bFokWLAABbtmxBfLzuh9EYGBigU6dOAIATJ04ofX78+HEAQLdu3VRuv3r1aiGACABNmjTBlClTAACbNm1CWloaAOD58+c4d+4cbGxssGbNGjg7Owvb2NraYtmyZXBycoKPjw9Onz6tiz+NiIiIKEtSaRrO3PLF0IUXsNvdO08DiJZmRmhbvxRm/9wAO/7ogLH9a6N+1WIMIFKmJBIJyjla47v2Llg9/htsmdYGQ7tVQ43yRaCvo6CftYUxA4j0WWAQkYi+Oh4eHgCQad7Dxo0bw9bWFjExMbh//36ulKFHjx4AgMuXLyM29r9E4WFhYbh58yaMjY3RoUMHpe2qV6+OWrVqKb3ftWtXmJiY4NOnT3jy5AkA4OLFiwCAZs2awcLCQmkbIyMjoRfklStXcv5HEREREakhk8lwy+sDRiy9hHUHHyMyJilPjmtjaYwOjZwxb1gj7JjdDqP61EQdFwcYGvBxmLRnb2uGzk3LYN6wxtg5pwN+/64OmtYsATOT7A/0rFzaVoclJMo9HM5MRF+VuLg4BAYGAgAWL14MExMTleslJqbnPXn37h2aNm2q83K4uLjAxcUFL1++hLu7uxBUPHXqFFJTU9GmTRtYWVkpbVetWjWV+zMyMkLp0qXx4sUL+Pr6ombNmnj9+jUA4NatWxg8eLCwrnyex0+fPgFI/zuJiIiIcsuLd+HYdvIZXviG58nxihQyQaPqxdGoenG4ONvqrMcYkTwLU0M0r+2I5v/Po/j0zSd4PguG57NgfIrULL+nnp4E33eolMslJdINBhGJ6Ksi3+vv+fPnWa4fExOTa2Xp3r07Fi5ciBMnTghBxKyGMqsKLGYwMzMD8F+ZM/4fEhKCkJAQtWXJzb+TiIiIvl6BobH459Rz3PL6kOvHKlrYDI2qFUej6sVQ3smGw0MpTxka6KFWRXvUqmiPX7pXw9vAqPSA4tNgvA2KUrmNqbE+xn1bByXslEcNERVEDCIS0VfF1NRUeH3lyhUULVo038rSuXNnLF26FJ6enggLC0NcXBy8vLxQuHBhNGnSROU2GT0kVckIBNrapg+HyPhbR48ejR9++EFYz8TEBPr6zPtDREREuSciJhF73L1x7rYf0tJkuXYcR3sLNKpeHI2rF0fp4laQSBg4pPwnkUhQ1tEaZR2t8W07F4SEx+PO82A8fh2KT1GJSJPKUNvFHq1dSzKASJ8VBhGJ6KtiZWUlzIzs4+OTaRDxzp07sLW1hZOTk2jiFV0qXLgwmjZtikuXLsHDw0PoJdm5c2cYGKi+PGcMUVaUlJQEX19fAEDZsmUBAKVLlwYAvHnzJtMyvH37FrGxsXB0dBSCj0RERETZlRczLjsXs/p/4LAYShbNfJQGUUFhb2uGTk3KoFOTMvldFKIcYSZZIvrqNG/eHACwa9culZ8/fPgQAwYMQMeOHeHj45Pt48jnHpTJVLfAd+/eHQBw4cIFYcKXzIYyA4CnpyeCgoKU3j9y5AiSk5NRqlQpuLi4AABatGgBIH0iGVXDmaVSKUaPHo3evXtj3bp1Gv1NRERERKqkStNw5ua7XJtxuZyTNQa6VcLGya2w5vdv0L9tRQYQiYjyGIOIRPTVGTp0KExNTeHh4YF58+YhLi5O+OzJkycYM2YMAKBhw4aoUqVKto9jYmIiDKlRFfgDgG+++QbW1ta4efMmHjx4gAoVKqBSpcwTK6ekpGDkyJHC5DAAcOnSJSxevBgA8Ntvvwnv16tXDw0bNkRCQgJGjhwp6pEYFRWFCRMm4PXr1zA2NsaAAQOy/XcSERHR1ytjxuWRSy9h3aEnOp1x2aWUDX7qUgWbp7XBit+ao3erCijOoZ9ERPmGw5mJ6KtTunRp/Pnnnxg/fjx27NiBgwcPomzZsoiOjsb79+8BAOXKlcOKFStydBwDAwOUK1cOr1+/xvDhw1G6dGmMHTtWlO/QyMgIHTt2FHpFquuFCACOjo54+/Yt2rZtiwoVKiAmJgb+/v4AgJ9++glubm6i9ZctW4affvoJL168QO/eveHs7AwTExP4+voiMTERBgYGWLlyJUqVKpWjv5WIiIi+Prk143LzWo74voMLihY21+l+iYgoZ9gTkYi+Sq1bt8aJEyfQv39/2NnZ4dWrVwgJCYGLiwtGjx6N/fv3w8bGJsfH+fPPP1G7dm1IpVL4+vrCz89PaZ2uXbsCAPT19dG5c2e1+ytXrhz27t2LJk2awM/PDzExMWjcuDE2bdqEiRMnKq1fuHBh7N69GxMmTED16tXx6dMn+Pj4wNraGl26dMGhQ4fQsmXLHP+dRERE9PUICInBgu13MHHtNZ0GEKuXK4IVvzXH79/XYQCRiKgAYk9EIvpqlSxZErNnz87VY7i4uGDPnj1q18nIV9i4cWPY29trtM+NGzdqXAZjY2P0798f/fv3B8DZmYmIiCh7cmvGZediVvihU2XUrmjP2ZWJiAowBhGJiPLZwYMHAQA9e/bM55IQERERKcutGZeLWJvi+/YuaFHHCfp6DB4SERV0DCISEeWDZ8+eoVChQjh69CguX76MYsWKoXXr1vldLCIiIiJBqjQN5z39sNvdW6cTppibGKB3qwro1LQMjA05OoKI6HPBICIRkRqjR49GaGio1tvNmDEDlStXzvTz4cOH4+PHj8Ly1KlTYWDASzIRERHlP5lMhttPg/HPqecIDI3V2X4N9PXQqUlp9G5VAVbmRjrbLxER5Q0+sRIRqfH06VMEBgZqvV1MTIzaz+vVqwd3d3c4ODjg119/Rdu2bbNbRCIiIiKdya0Zl1vUdsT3HSrBwdZMp/slIqK8wyAiEZEaHh4eubLfZcuWabX+qFGjMGrUqFwpCxEREVFASAz+Pf0Ct7w+6HS/1csVwY+dqqCck7VO90tERHmPQcQcOH36NMaOHYsSJUpoFGhYsWIFNmzYoPH+zczM8PDhQ7XrBAQEYOfOnbhx4wYCAgIAAPb29nB1dUXv3r1RvXp1jY8XGxuLffv24cKFC/Dx8UFCQgLs7e3h4uKC7t27o3Xr1hrPlpaWloYzZ87g2LFjePbsGaKiomBtbY1SpUqhY8eO6Nq1K8zNzTUuGxERERER6R5nXCYiIk0xiJhNnz59wvz587XaxtvbW6dlOHz4MP744w8kJiaK3vf19YWvry8OHDiAwYMHY/z48dDXV5+w2MvLC6NHj0ZQUJDo/cDAQAQGBuLixYto0qQJli5dCltbW7X7Cg8Px6hRo3Dv3j3R+6GhoQgNDcW9e/ewfft2rFy5Um3OOCIiIiIiyh2ccZmIiLTFIGI2xMXF4ddff8WnT5+02i4jiCiRSNCnT58s1zc2Ns70sxMnTmDq1KmQydJbC21tbeHq6goDAwM8fPgQgYGBkMlk2LJlC6RSKaZMmZLpvt68eYMff/xRyOFmbGyMBg0awMbGBq9fv8azZ88AANevX8fw4cOxY8cOGBmpToScmJiIwYMH48WLF8LfWqtWLZQqVQofP37EnTt3kJqaCj8/P/z44484ePAgnJycsvwuiIiIiIgo5zjjMhERZReDiFoKDw/HiBEj8PjxY622i46OFnr5OTk5Yc6cOdkuw8ePHzFz5kwhgNi/f39MnTpVCOylpaVh27ZtWLp0KWQyGbZv344mTZqgadOmSvuSyWSYMGGCEECsU6cOVq5cCXt7e2Gda9euYfz48YiKisKjR4+wdu1ajBs3TmXZVqxYIQQQ7ezssG7dOtGQaj8/P4waNQre3t6IjIzEhAkTsHfv3mx/F0RERERElDXOuExERDmll98F+Jw8ffoUPXv2xIMHD7Te9uXLl8JrFxeXHJVj/fr1iI+PBwA0b94cs2fPFvUM1NPTw08//SSahGHVqlUq93XmzBmhp6GdnR02bNggCiACQNOmTbF27Vro6aX/XHbs2IGwsDClfQUHB2PXrl0A0nsg/vXXX0o5GUuVKoWtW7cKx3j48CEuX76szZ9PRERERERaePEuHJPWXseC7Xd0GkBsUdsRGya3wk9dqjKASET0FWAQUQPx8fFYuXIl+vfvL/QmNDU11Wof8kHEihUr5qgsx48fF5Z/++23TNf95ZdfULx4cQDpOQ+fPn2qtI58L8AhQ4bAyspK5b5cXV3h5uYmlOHYsWNK6xw8eBApKSkAgG+++QY1atRQua8iRYqIApzsiUhEREREpHsBITFYsP0OJq69hhe+4Trbb/VyRbDit+YY/10dONia6Wy/RERUsDGImAU/Pz+0b98e69evR3JyMgCgdOnSWL9+vVb7kZ9UJSc9ET09PREXFwcAcHZ2VjsxiYGBAdq3by8su7u7iz6PiYkRTX7SoUMHtcfu3LlzpvsCIJqhOiPgmJkOHTrAwCB9NP2NGzcQG6u7FlEiIiIioq9ZREwi1h16jBFLL+GW1wed7de5mBVm/9wA84Y1Qjkna53tl4iIPg8MImYhODgYHz9+FJb79euHw4cPaz0ZiK6GM9+/f194Xb9+/SzXr1OnjvD61q1bos8ePnwIqTR9JjZnZ2c4ODio3Vft2rWF148fPxaCmUB678SMXIialM3S0hLly5cHACQnJ4v+LiIiIiIi0l5CUir2nHuJoQsu4MxNX6SlyXSy3yKFTPBbv1pYOa4F6rg4QCLhrMtERF8jTqyioVq1amHy5MmoWbMmgPQJVjQllUrh4+MDID145ujoiOjoaFy/fh3e3t6Ii4uDra0tqlWrhvr162c68zEAYT8AUKZMmSyPXbZsWeH1q1evIJPJhJu+/L7k18uMlZUV7OzsEBoairS0NPj4+AhDlt++fYu0tDThb1TMq5hZ2TICj97e3mjevHmW2xARERERkbInPqFYsfsBPkUl6myfnHGZiIjkMYiYheLFi2PHjh1wdXXN9j58fX2RmJgo7G/BggXYt2+f8J48e3t7jB8/Ht26dVO5r8DAQOG1o6NjlscuWrSo8DoxMRFhYWEoUqSI0r5KlCih0d9StGhRhIaGCttnBBGzsy/5no/y2xMRERERkWbS0mQ46PEau86+gI46HsJAXw8dG5dGn9accZmIiP7DIGIWnJyctB66rEh+KLO3t7coP6KikJAQTJo0CU+fPsX06dOVPpefFblw4cJZHtvU1BQmJiZCwDIyMlIIIsrvK+O9rNjY2AivIyIiVJYrO/uKjIzUaBsiIiIiIkoXHZeMFXse4N6Lj1mvrKHmtRzxfQcXFC1srrN9EhHRl4FBxDwgH0QE0oNngwcPRrt27VCsWDFERUXh9u3b2LBhgzDEeMeOHXBwcMDPP/8s2lY+D6GJiYlGxzc1NRWCiPLby782NjbWeF+qts/OvszM/pvJTX77giI+Pl7IGamtxMRESKVSSCQSSCQSSKXSbO+LKKcyUg1ktkwFk1QqhUwmE/6Lj4/nv90XKD4+Xu0yEeWfgn5++gREYdX+pzobvlyltA2+bVsOZYpbAZBx4kMqsAr6ufmlSEpKyu8iUAHEIGIekO95WL58eWzevFk0zNjOzg6dO3dGmzZtMGrUKFy9ehUAsGrVKri5uYmGB2fMEA1Abe5EeRmzIANASkqKyn1pGvgzNDTU2b4yK1dB4evrm+N9GBgYwMDAAMnJydDT4zxGVDDIn69UcCUnJ0MmkyE1NRWpqanw8/PL7yJRHvD398/vIhBRJgrK+SmTyXD3dRzOPoiELtqW7K0N0aZmIZQrZoyUmA/w9tbdbM5EeaGgnJtEXwMGEfPA77//jm7dusHf3x/t27cXBRDlmZiYYNmyZWjfvj3CwsKQkpKCf/75B1OnThXW0dfXF3qi6Otrn9xYfiY1+aCWpvuSyf5LtCK/fWavs7MvIiIiIiJSlpSShhN3IvDULyHH+7Iy00fL6lao7mwGPT3OtkxERFljEDEPVKhQARUqVNBoXSsrK/Tu3RsbNmwAAFy9elUURDQ1NRV67Wk6PDY1NVV4Ld97UX44sfw6Od2XpuWSX0/TXpVERERERF+jkMgU7L8ehk/RmtXbM2NsKEHTKlaoX8EChgYMHhIRkeYYRCyA6tevLwQR3717h5SUFGEYsZmZGaKjowFonkcwIeG/lkr5YJ/8a03zSOhyX/LryW9fUDg7O2s8NFtRYmIigoODhZyIRkZGGuewJNK1tLQ0pVQI7P1b8KWlpUEikcDAwAD6+vooWrQoryNfoPj4eNEwLCcnpwJ5TyT6GhWk8/Pa4w/Ycv4lklKyP37ZQF+Ctq6O6NasNCzNDLPegKiAKkjn5pcsKSlJJym+6MvCIGIB5ODgIFqOjIyEnZ0dAKBQoUIIDg4W3s9KQkKCMKkKIJ7RuVChQqJjaEJ+Rmb5fVlbW+tsXwWFmZmZaCIZbejp6YmGiOvr62dr+DlRblD8fVLBpK+vLzREAOnXJFaQv3xmZmawsLDI72IQkQr5cX4mp0jx97GnOHvLN0f74YzL9CXjvTN38HmBVGEQsQCSzxUIiCczKVOmjDBRS0YwUR35dSwsLETBvjJlygivP3zQLIGy/P7kJ3zJzr4+fvyocl9ERERERF+74LA4LPr3Lt4ERGV7Hxamhhj3bW3Uq6w6JzsREZE2GETMZR8/fsTNmzcRFhaGpKQkjBgxIsttQkJChNdGRkawsrISlsuVKye8fvPmTZb7kl9HflvF5bdv32a5r6ioKISGhgJI78kkHzgsVaoUDA0NkZKSgtDQUMTExMDS0lLt/nx8fDItGxF9Plq2bInAwEAAwMiRIzFq1Kh8LhEREdHnzfPpB6zY+xBxCSnZ3kd5J2tMHlgP9rbsxU5ERLrBIGIuCwwMxOTJk4Xl/v37w9bWVu029+/fF15Xq1ZNlLusZs2awusHDx5keXz5fdWpU0f0WeXKlYXA36tXrxAbG6u2G7j88apUqSIa6mtgYICqVavi4cOHkMlkePDgAZo3b57pvqKjo/H69Wth21q1amX5txARERERfcmk0jTsOPMChy75ZL2yGh0bl8ZPXarA0IDDEYmISHeYWT+Xubi4iCbnOHPmjNr1k5OTcejQIWG5TZs2os/r168v5DL08vKCn59fpvtKTU3F2bNnheWWLVuKPrewsEDjxo2FdbMq28mTJ4XX33zzjdLn8mWVX1eVM2fOCLMz161blzksiIiIiOirFh6diGkbbuYogGhipI8J39fBsB7VGUAkIiKdYxAxl5mZmaF169bC8oYNGxAeHp7p+kuWLBFyClpZWaFnz56izw0NDdGhQwcA6bkT582bh7Q01bO0bdq0CUFBQQCAsmXLom7dukrrdO3aVXi9du3aTMt2584dnD59WihDjx49lNZxc3MT8jeeOnUK9+7dU7mvT58+Ye3atcJy3759Va5HRERERPQ1eOITijHLL+PZ27Bs78PJwRLLf2uOZrUcdVgyIiKi/zCImAdGjx4tBNdCQkIwePBgvHv3TrROXFwcZs+ejR07dgjvTZo0SZQPMcPIkSOFnntXr17FxIkTERcXJ3yelpaGbdu2YfXq1cJ7Y8eOVVm2Dh06oEaNGgDSJ0356aef4O/vL1rnxo0bGDVqlBCs7N+/P4oVK6a0r2LFimHgwIEAAKlUihEjRuDmzZuidfz9/fHTTz8JeR8rV66M9u3bqywbEREREdGXLC1NhgMXX2HGhpuIjEnK9n5a1HbE8jHN4OSgPic5ERFRTjAnYh5wdnbG3LlzhdyIL168QKdOnVC7dm04OjoiMjISnp6eokDg4MGD0atXL5X7s7Ozw7Rp0zB16lTIZDKcOHECV65cQcOGDWFkZISHDx8iICBAWL93795Kw6IzSCQSzJkzB99//z1iYmLw/PlzdOjQAfXr14ednR18fHzg5eUlrF+xYkWMGzcu0791xIgRuHbtGl69eoXIyEj8+OOPqFatGsqVK4fQ0FDcvn0bqampANKHUy9dulSU85GIiIiI6GsQE5+M5bsf4N6Lj9neh4G+HoZ2r4b2DUpBIpHosHRERETKGETMI927d4eZmRmmT5+O6OhopKam4s6dO7hz545oPRMTE4waNQpDhgxRu78ePXpAKpVi/vz5SEhIQHR0NM6dO6e0Xr9+/TBz5ky1+3JxccHmzZsxduxYBAUFISUlBdevX1dar3bt2vjrr79EE6ooMjc3x/bt2zFq1ChhUhcvLy9RIBIAihYtijVr1nBWZiIiIiL66rx6H4HF/95FSERCtvdhb2uGKQProZyTte4KRkREpAaDiHmoXbt2aNSoEfbt24crV67gzZs3iI6OhqWlJYoXL45vvvkG3bt3R4kSJTTaX+/evdGwYUPs2bMHV69eRVBQEJKTk2FnZ4fatWujX79+KvMgqlKzZk2cOnUKe/fuxfnz5/Hu3TvExsbCysoKVapUQZcuXdCxY0eNeg0WLlwYu3btwunTp3HixAk8e/YMERERMDExQbly5dCqVSv079+fk6nQV+HNmzc4duwYbt++DV9fX8TFxcHMzAyOjo6oU6cOevXqBRcXlyz34+/vj0OHDsHT0xN+fn6Ijo6Gubk5ihQpgjp16qBt27Zo0qSJVmV78eIFLly4gHv37sHf3x9RUVFISkqChYUFbG1tUaNGDTRr1gxt27aFvj6TsxMREeWUTCbD6Zu+2HzsKVKlqvOaa8K1clGM7V8LFmZGOiwdERGRehKZTCbL70IQ5beEhAQ8f/5c9F7lypXV9rpUJz4+XjRzdqlSpWBmZpajMtLnJTIyEgsWLMDx48eh7jIrkUjQp08fTJ8+HUZGyg8CcXFxWLRoEQ4ePJjpJEoZatasiQULFqBs2bKi96VSKRITE4XliIgI/PHHH7h69apGf4uzszNWr16NihUrqvy8ZcuWCAwMBJCes3XUqFEa7ZfU43Xk6xAbGwtvb29huWLFimxkIyogdH1+JiSlYu2BR7j6MDDb+9CTAAPdKqN7i3LQ0+PwZfo68d6ZN3T9jExfBvZEJCLSsZCQEAwcOFBpAqXSpUvDzs4OISEh8Pf3h1QqhUwmw759+xAYGIi///5b1Ns3IiICAwYMwOvXr0X7cXZ2hr29PeLi4vDq1SukpKQAAB49eoQ+ffpg7dq1aNiwocqyvX//HkOHDhUmNwLS0yiULVsWVlZWSE5Ohr+/v+hzX19fDBo0CKdPn4atrW2Ovx8iIqKvzfvgaCz69y78P8Zmex82lsaYMKAuqpUtosOSERERaY5BRKICLDouGSmp0vwuxmfD0EAfVub5O6xHJpNh7NixogBihw4dMH78eDg5OQnv+fr6Yu7cuUL+0evXr2Pr1q1CPtTU1FT88ssvogBi69at8fvvv6N06dLCezExMfjnn3+wYcMGpKSkIDY2FqNGjcLBgwfh7OysVL758+cLAUJDQ0NMmTIFvXr1grGxsWi9Z8+eYd68eXjw4AGA9IDmzp07MXr06Bx+Q0RERF+Xyw8CsPbAIyQlZ79OV61sEUz4vg5srEx0WDIiIiLtMIhIVAD5f4zB4n/vwi84Jr+L8tkpVdQSkwbWg5ODZb4c/8yZM7h3756w/OOPPwozs8tzdnbG+vXrMWDAADx69AgAsHnzZgwYMADGxsY4dOgQHj9+LKw/aNAgTJ06VWk/lpaWGDlyJKpXr47hw4cjNTUVMTEx+OOPP7Bt2zbRul5eXrh7966wPHnyZHz33Xcq/44qVapg69ataNu2rRB0vHLlCoOIREREGkpJleLvY09x5qZvjvbTu1V5fNfOBfr6WecmJyIiyk28ExEVQAwgZp9fcAyW7LiX9Yq5ZNeuXcLrsmXL4vfff890XSMjI9HnERERQpBv48aNwvuVKlXCxIkT1R63WbNm+Pnnn4Xlmzdv4smTJ6J1PD09IZGk508qUqQI+vbtq3afpqamaNGihbD88eNHtesTERFRuo/h8Zi45lqOAogWpoaY8VN9DHSrzAAiEREVCOyJSFTAJCalMoCYQ74fopGYlAoT47y9xEVGRuL+/fvCcp8+fWBgoL4M9erVw7hx4+Dg4ABnZ2eUL18ePj4+wkQlAPDDDz9kuR8gvbfili1bkJycDADw8PBA9erVhc+HDBmCAQMG4NOnT0hNTYWhoWGW+yxS5L+8S/KTsxAREZFqd54HY8XuB4hNSMn2Pso5WWPywHpwsOWEWkREVHAwiEhUwJgYG6BUUUsGEnPAuZhVngcQAeDJkyeimZhdXV012u6XX34RLcsPOQaAxo0ba7QfGxsbVK1aVchjKB/QzGBsbIyyZctCX19f7b4+fvyIhw8f4vbt28J7UinzcxIREWVGKk3DzrMvcdDjddYrq+HWyBlDulaFoYH6ezUREVFeYxCRqACaNLAeluy4B98P0fldlM+OczErTBxQN1+O7e/vL1ouU6ZMtvYjP2zY2toadnZ2Gm9boUIFIYiY1fDjlJQUeHt74927dwgICEBAQADev3+PN2/eICwsLFtlJyIi+hpFRCdiyc57ePom+/dPEyN9jOhdEy1qO+qwZERERLrDICJRAeTkYIk1v3/D2Zm1lN+zM8fE/Nd71NDQECYm2ZtBMTIyUnhdqFAhrbaVX19+P/J8fX2xefNmnDt3DnFxcWr3Z2BggNTUVK3KQERE9DXxevMJS3fcQ0RMUrb34eRggSmDXPNtYjgiIiJNMIhIVIDlZ0CMtJcxaUlOpaWlZXtb+YCfnp5yEvajR49iwYIFKgODEokExYsXh4uLC2rUqIEGDRrgypUr+Ouvv7JdHiIioi9VWpoMhy69xs4zL5Amy3r9zDSv5YgRvWvANB9SsRAREWmDdyoiIh2xsrISXqekpCAxMTFbvRGtra2F11FRUVptGx393xB4CwsL0Wc3b97E3LlzhbyNhoaGcHNzQ6NGjeDi4oLSpUvD2NhYtI2Hh4eWpSciIvryxcYnY/meB7j7XH3qEHUM9PUwtFtVtG/orLOGSCIiotzEICIRkY4ULVpUtOzr6wsXF5cst7t16xYiIyPh6OiIkiVLolixYsJnkZGRCAkJgb29vUZl8Pb2Fl47OopzKq1atUoIIFpZWWHHjh1Zlk/bICYREdGX7rV/BBb9ew8h4fHZ3oe9rRkmD6yL8k42OiwZERFR7mIQkYhIR2rWrAmJRCIE6u7du6dREHHNmjXCTMo9evTAjz/+KPr8xo0b6N69e5b7CQsLw4sXL4TlKlWqCK+DgoLw+vV/s0X269dPo7K9fPlSeJ2TYdZERESfO5lMhjM332HT0adIlWb/nlivsgPG9q8NSzOmrSEios+LcsIsIiLKFhsbG1SrVk1YPnjwYJaBt8DAQDx8+FBYbtiwIcqXLw8nJyfhvX/++UejyU3++ecfpKSkCMvffPON8Do0NFS0riYzPj9+/BiPHj0SlqVSTvJDRERfp6SUNPx1+DnWHXqS7QCingQY6FYJ03+szwAiERF9lhhEJCLSoUGDBgmvX7x4gXXr1mW6blpaGubNmycEGq2trdGuXTtIJBJRb8QXL15gyZIlao977do1bNmyRViuWrUq6tatKyzb2IiHS12/fl3t/gIDAzF+/HihVyWQnudRfpmIiOhrEBqVgr/PheDGk+Bs78Pa0hjzhjVG71YVoKfH/IdERPR5YhCRiEiH3Nzc0LBhQ2F5zZo1mDlzJj59+iRaLzAwEKNGjRJNXPL7778LE5v06dMHtWvXFj77559/MGLECLx79060n9jYWKxbtw7Dhw8XeisaGxtj7ty5ovVKliwpypF45coVLFq0CDExMaL1IiMjsWPHDnTr1g3+/v5Kf198fPbzPxEREX1uvHzjselcCD5FZz0iIDNVyxbGqnEtUK1cER2WjIiIKO8xJyIRkQ7p6elh2bJlGDRokJCDcN++fThw4AAqVKgAa2trhIeHw8fHRzTUuW/fvujdu7ewbGhoiFWrVmHw4MHCfi5cuIALFy7A2dkZDg4OiI2NxatXr0RDmE1MTLB8+XJUrlxZqWyjR4/GxIkTheVt27Zh7969cHJygrW1NUJDQxEQECDaX4kSJRAYGCgsh4aGwtzcXAffFBERUcGVnCLF1pMvcf5ueI7206tleXzf3gX6+uy7QUREnz8GEYmIdKxw4cLYu3cvZs2ahVOnTkEmkyEtLU00SUkGQ0NDjBkzBkOGDFH6zN7eHnv37sX8+fNx9OhRIejo6+sLX19fpfVr1qyJP/74I9MJU1q3bo2JEydixYoVQqAwISEBr169UlmugQMHYujQoWjUqJGQD/HevXtwdnbW9KsgIiLKdzKZDAlJqYiOS0ZUbNL//5+M6LhkRMcl/f//cp/FJSMuISXrHathbmqIcd/Whmvlojr6K4iIiPIfg4hERLnAwsICy5Ytw88//4xjx47B09MTQUFBiImJgYWFBZydndG4cWP07dsXDg4OavezcOFCDBkyBMePH8ft27cREBCAqKgoGBoaokSJEqhVq5bSMOrM9OvXDy1atMCBAwfg6ekJf39/xMfHw8TEBDY2NihXrhxq1qyJbt26oVixYgDSJ3vJyKF44MAB9OrVSzdfEhERUTakpKYhJv6/oF90XDKi5QKAGcHB/wKFyTmaTVlb5RwLYdLAeihamD33iYjoy8IgIhFRLnJxccm0Z6A2ypYti7Fjx+qgRICzszMmT56s8fryE7aoIp/XkYiISBsymQxxianpPQJjxT0C04OC/38t13MwLjH7+QlzW4dGzhjSpSqMDPXzuyhEREQ6xyAiERERERHpXEx8Mt4Hx+D9xxiERyUKAcEYhUChNE2W30XNMWMjfYzsXRMtajtmvTIREdFnikFEIiIiIiLKttj4ZPgFx8D/Y3rA8H1wNN4HxyAiJim/i5YnHO0tMGVQPZQsapXfRSEiIspVDCISEREREVGWYhNS8D44Oj1YGPz//z5GIzz66wgWqtKsVgmM7F0TpsZ8rCIioi8f73ZERERERCSIS0iB/8cY+P0/SJgRMAyPTszvohUYBvp6+LlbVXRo6AyJRJLfxSEiIsoTDCISEREREX2F4hNT/j/8OOO/aLz/GIOwKAYL1bG3McWkgfVQoaRNfheFiIgoTzGISERERET0BYtPTPlvCLLc/z9FJuR30T47dSs5YNy3tWFpZpTfRSEiIspzDCISEREREX0BEpJS/x8sjP7/UOT0yU5CIxgszClLUz30bV0BnZtVgJ4ehy8TEdHXiUFEIiIiIqLPyH/Bwv8Che+DoxHCYKFWJBLA0swIVuZGKGRhDCtzI7n/jGFskIao8BDYWOijsKUBXP7H3n3HR1XlbQB/7pRMJpk0SINUAglNkSZIBwUFlGrBLqDIK4quKCt2UVlRV0XFtSCKuiqoCyJIF+kIhl4TCOmk15lMpt/3j8lcZtIJSSYhz9dPPrn13DPBBObJOefXLYwBIhERtWkMEYmIiIiIWrC8onLsPpqJkxfykZqtRW6h3t1dapE8PeT2ANApEPTzVlWEhJfCQcc5jZcH5LWEgjqdDgkJpc34CoiIiFo2hohERERERC2MKIo4eaEA6/dcwF8ns2Gzie7uUrOSCYCvtwo+TgGgn1MA6AgK/RzBoMYDKqXc3d0mIiK6qjFEJCIiIiJqIQwmC3YezsD6PclIybp6RsEp5ALa+6krAkHXqcPOU4kd296eSk4dJiIiamEYIhIRERERuVl2QRl+35uMrQfTUFZudnd3GkwuExAWrEFkiI/9I9QXkaE+6BDoDYVc5u7uERER0RVgiEhERERE5AaiKOJoYh7W70nG32eyIbaiGctymYCOQRVhYWjFR4gPOgZpGBYSERFdpRgiEhERERE1I73BjD/j07F+bzIycnXu7k6tZDIBHQO9K0JCXykw7BiogVLBsJCIiKgtYYhIRERERNQMMvN0+H1vMv74Ow16g8Xd3XEhkwno0N5bCgmjKgLDjkEMC4mIiMiOISIRERERUROx2UQcTsjFuj0XcPhsrru7A5kAdAj0tq9VKE1F9kVYkDeUClY3JiIiopoxRCQiIiIiamRl5WZs+zsNv+9NRlZ+WbM/XyYAodLIQl9EhPggKtQHYUEaeCgZFhIREdHlY4hIRERERNRI0rJLsX5PMv48lA6DydrkzxMcYWHIpeImkaG+CAvWQMWwkIiIiBoRQ0QiIiIioitgtYk4eCob6/dcwPHz+U36LB8vD4zqH44u4f6IDPFBeIgPw0IiIiJqFgwRiYiIiIgaoLTMhK0HUrFhXzJyi8qb9Fmdw/1w25AYDO8TxunIRERE5BYMEYmIiIiILkPyxRKs230BOw9nwGSxNdlz5DIBQ3p1xG1DY9AtOgCCIDTZs4iIiIjqwhCRiIiIiKgOFqsNf53Mwvo9yTh1oaBJn+Xvo8LYG6IxdlAU2vupm/RZRERERPXFEJGIiIiIqAbFWiM2H0jBxn0pKCgxNOmzukYF4LYhnTDkujAoFbImfRYRERHR5WKISERERERUSWJaEdbvuYDdRy/CYm26KcsKuQzD+4ThtqGdEBsR0GTPISIiIrpSDBGJiIiIiACYLTbsPZaJ9XuSkZBW1KTPau/niXGDo3HLwGj4+6ia9FlEREREjYEhIhFRG1ZWVoZPP/0Uzz77rLu7QkTkNgUl5di0PxWb/kpBsdbYpM/qGdMetw3thBuu6QCFnFOWiYiIqPVgiEhE1Eb99ttvePfdd5Gbm8sQkYjaHFEUcTbFPmV57/GLsNrEJnuWh0KGEX3DMWFYDDp19Guy5xARERE1JYaIRERt0Lp16zB//nx3d4OIqNmZzFbsOpKB9XuTkZRR0qTPCg5QY/zgThgzMAq+3h5N+iwiIiKipsYQkYioDTKbze7uAhFRsyosNWD9ngvYtD8VWr2pSZ91XWwgbhsag+t7hEIuE5r0WURERETNhSEiEREREV21UrNLsXZnEv48lNGkVZY9PeQY1T8Ctw3phMhQ3yZ7DhEREZG7MEQkIiIioquKKIo4kZSPNTuSEH8mp0mf1aG9N24d2gk3XR8JjVrZpM8iIiIicieGiERERER0VbBabdhz7CLW7Dzf5Osd9u0WjAlDY9C3azBknLJMREREbQBDRCKiRvTxxx9j6dKlAIBZs2bh2WefhSiK2Lp1K37//XecOnUKeXl5UCqV6NChA4YMGYLbb78dsbGx9Wo/Pj4eO3fuxKFDh3Dx4kWUlJTAbDbD19cXgYGB6NOnD2688UaMGDGi2vtvvfVWZGVlVTnetWtXafvbb7/FwIEDG/DqG+bw4cP43//+h0OHDiE7OxsAEBISgiFDhuCuu+5Ct27dkJeXh6FDh0r3JCQk1NpmSkoKtmzZgvj4eFy4cAElJSXQ6/XQaDTw9/dHz549MWTIEEyYMAEeHnUXO8jJycHatWuxb98+nDt3DiUlJVCpVPD390dsbCwGDRqEiRMnIiAg4Mq+GETUIHqDGVsPpmHtriTkFZU32XPUKgVGD4jErUM6ISxI02TPISIiImqJGCISETWhixcvYv78+YiPj3c5bjAYoNVqkZiYiG+//RbTp0/H/PnzIQjVj2ZJSEjAq6++iiNHjlR7vqCgAAUFBUhISMDKlStx7bXX4uOPP0aHDh0a/TU1Fq1Wi5deegmbNm2qci4lJQUpKSlYuXIlZs6ciQcffLBebZaWlmLhwoXYsGEDbLaqa58VFxejuLgYKSkp+P333/HBBx/gvffeqzU0XbFiBd5//30YjUaX42azGTqdDhkZGfjzzz+xZMkSPPXUU5g+fXq9+kpEV66gpBzrdl/Apv0pKDNYmuw54cEa3DY0BqP6hcPLk1OWiYiIqG1iiEhE1EQKCgowffp0pKamAgA0Gg1iY2MhCAIuXLiA4uJiAIDVasXy5cuh0WgwZ86cKu0cPXoUDz/8MHQ6nXRMo9EgJiYGGo0G5eXlSElJQVFRkXT+xIkTmDFjBn777TfI5XLpeL9+/VBcXIzc3FwkJiZKx51H+fn5+TXa16AmWq0WDzzwAM6cOSMdk8lkiIuLg6+vLzIzM5GZmQmr1Yply5YhKSmpzjaLiopw//334/z589IxpVKJmJgYBAQEwGq14uLFi8jMzJTO5+Xl4ZFHHsHatWsRExNTpc1vv/0Wb731lksfO3XqhMDAQJhMJmRkZCAvLw8AoNfr8dZbb8Fms2HmzJkN+roQUf2kZpVizc7z2Hk4Axar2CTPEARgQI9Q3Da0E66LDarxlzxEREREbQVDRKIWzKrXQrSY3N2NVkNQeEDu5ePubkhWr14NAAgICMCCBQtw2223QaGw/9g1m81YvXo1Fi1aJI1w++KLL3Dfffe5hHgmkwnPP/+8FCD6+Phg4cKFuOWWW6S2HP766y+8+eabOHfuHAAgOTkZ69atw+TJk6VrXn/9dXh6emLt2rV4/vnnpePLly9v/C9ALV5++WWXAPHWW2/Fc889h5CQEOnY4cOH8dprryEhIQHbt2+vs8133nlHChAFQcCcOXMwc+ZMaDSuUw6Tk5Px7rvv4o8//gBg/xp//vnnePvtt12uKy4uxnvvvSftjxgxAm+88YZLHwFg586deOWVV6Sp2B9//DEmTZqE9u3b1+dLQUT1JIoijp/Lx+qd53H4bG6TPUejVmLMwCiMHxyN0PbeTfYcIiIiotaGISJRC2TKz0DO6vdgzktzd1daHWVQJEKmPgOPwHB3dwUA4Ovri5UrVyI6OtrluFKpxLRp0yCKIl599VUAQHl5OXbt2oUJEyZI123btg0XLlyQ9t99912MGjWq2mfdcMMN+OqrrzBmzBgYDAYA9oDLOURsCeLj47Fx40Zp//7778fLL79c5bq+ffvihx9+wIwZM3D8+PFa28zNzcWaNWuk/RkzZuDJJ5+s9tpOnTph6dKluOOOO3Dq1CkA9q9TZTt27JC+jv7+/li6dGm16yeOGDECn3/+OSZPngxRFKHX6/Hnn3/ijjvuqLXPRFQ/FqsNe45mYs2OJFy42HTFUqI7+OK2oZ0wom84PD34T2QiIiKiymTu7gARVcUAseHMeWnIXfNe3Rc2k+nTp1cJEJ1NnToVnp6e0n7lgiH79++Xtnv27FljgOgQHByMfv36Sfs5OTmX2eOm980330jb0dHReO6552q8VqPR4L333oNSWfsaZPv375emGiqVSjz66KO1Xi+TyXDzzTdL+0VFRTCZXEf95uZeGukUHBxcawGWbt26YdKkSRgzZgxmzJiB8PCWEWITtWZ6gxlrdpzHrEVb8d4Ph5skQJTJBAzu1QH/mjMEHz0zErfcEM0AkYiIiKgG/FcSUQtjMxkYIF4hU24abCYDZB6edV/cxJyDqup4eHggMjJSWp+wtLTU5fwbb7yBBQsWID09vc4gzSEwMFDadoykaykMBgN27Ngh7U+bNq3O6siRkZG46aabqi3A4jBp0iSMHz8emZmZKC4urleVZOevk6Nvzn1xnracmJiIlStX4u67766xvcrToYmoYfKLK4ql/JUCfRMVS1Gr5Lh5YDQmDotBcDuvJnkGERER0dWGISJRCyPz8IQyKJJB4hXwCI5sEQGiUqlE586d67zOx+fSOo5ms7nKeW9vb3Tr1q3OdtLT03H48GFpii6AaisUu9OJEydcRvzdcMMN9bpv6NChtYaIgP3rXduoT4fCwkIcO3YM27ZtczlutVpd9keOHAkvLy/o9XoAwKuvvoqVK1fixhtvxODBg3HdddfVO9glorolXyzBmh3nsetIJqy2pimW0s5XhQnDOmPsoGho1Pz+JSIiIrocDBGJWqCQqc8gd817MOUySLxcHsGRCJ7yjLu7AcC+HqJMVveqEc7Vk0Wx9jfOBoMBZ8+eRXJyMjIzM5GRkYHU1FScP3++yijG+rTX3JzXdwRQbUXk6sTGxl7Wc6xWK86fP4+kpCRkZGQgIyMD6enpSEpKqnGKd+WvlZ+fH1588UW8+OKL0rEzZ87gzJkz+OSTT+Dl5YUBAwZg6NChGDlyJCIiIi6rj0Rk/747mpiHNTvO40hiXpM9JyrUB1NGdsHwPuFQKriaDxEREVFDMEQkaoE8AsMRPusDVme+TC2tOrPzWodX6sSJE1i2bBl27NghVXOuiUKhgMXSNFMAr1RxcbG0rVQq6/018vX1rdd1OTk5WLZsGdavX4+ioqJar63P1+mOO+6Av78/3nzzTWRlZbmc0+v12LFjB3bs2IE333wTPXv2xD333IOpU6e6BMNEVJXZYsPuo5lYs+M8UrKq/gKksVwXG4ipI2PRp2uQtG4qERERETUMQ0SiFqwlBWLkPkuXLsXSpUurHVUol8sRERGBbt26oU+fPhg0aBC+/vprl0rFLYnzm/jLGSVZn2t37NiBp59+Wpp+XFlISAji4uLQq1cvDBw4EGlpaXjppZfqbHf06NEYOXIkdu/ejS1btmD37t3Iy6s6YurUqVN46aWXsGrVKixfvhx+fn51vzCiNqas3IzNf6Xit91JKChpmjVbZTIBw3uHYfKIzugc7t8kzyAiIiJqixgiEhG1YKtWrcLHH38s7Xt5eWHixIkYOHAg4uLiEBUVVWVdvpY6ChFwHVFosVig1+vh5VV3UQOdTlfr+bNnz+LJJ5+URmnKZDKMHj0aw4YNQ/fu3RETEwNvb2+Xe9LS6r9cgEKhwKhRo6Tq2OfOncPBgwdx4MAB7Nu3D1qtVrr2xIkTeO655/DZZ5/Vu32iq11eUTl+252EzX+lotzYVMVSFLjlhihMGBaD4AAWSyEiIiJqbAwRiYhaKJPJhA8++EDaDwsLw/fff48OHTrUel9JSUlTd63BoqKiXPYvXLiAa665ps77kpKSaj2/ZMkSKUBUKpVYtmwZBg0aVOs9zlOrL1dsbCxiY2Nx3333wWw2Y/v27Xj11VelKdR//vknUlNTq7xeorYmKaMYv+5Mwu6jTVcspb2fJyYO64xbboiCN4ulEBERETUZhohERC3UkSNHXNb1e/TRR+sMEEVRxNmzZ6X9llad+brrrnNZi/DgwYP1ChEPHjxY4zmLxYLdu3dL+zfffHOdASIAl68T4DplWhRFHDx4EMnJyUhOTsbo0aNx/fXXV9uOUqnELbfcApVKhdmzZ0vHz507xxCR2iRRFHEkIQ+rd5zDsXP5Tfac6A6+mDKyC4b1DmOxFCIiIqJmwBCRiKiFqrzuXlBQUJ33bNy4Ebm5udK+1Wqt9rr6VI1uCl5eXhg5ciS2bdsGAPjll1/w4IMPQqGo+a+j/Px8bN68ucbzhYWFLlO46/N1Sk9Px/bt212OObchCAKef/55ZGZmArCPWqwpRHSoXEG68jRzoqud2WLDriMZWLPjPFKztXXf0EB94oIwZWQX9I5jsRQiIiKi5sRf2xIRtVABAQEu+3v27Kn1+rNnz2LhwoUux8xmc7XXenh4uOzXVfG5MU2fPl3aTkpKcpmyXZnJZMKCBQtqLJYCAH5+fi7VkPfv31/rupBFRUWYN29elTYrf61GjhwpbW/YsAHHjh2rsU3AHuA6yGQydOvWrdbria4WunIzftl+Do8s2oolK480SYAolwkY1S8cHz0zEq/PHow+XYMZIBIRERE1M4aIREQtVN++fV2Kjvz444/48ssvqwR+OTk5+M9//oO77rqryjp/ZWVl1bZdOaB0ng7c1K6//npMmjRJ2v/yyy+xYMEClxGUAJCYmIiZM2fW2TeVSoX+/ftL+wkJCViwYEGVkZx6vR5r1qzB5MmTcfz48SrtVA4VH3roIWk0oclkwpw5c7B58+YqozsNBgO+/vprlzB0/PjxCAkJqbXfRK1dbqEeX649iZlvbMY3v59GYWnjV1v28lRg6sgu+PLFMZh3bz906siq50RERETuwunMREQtlFqtxhNPPIF33nkHgH2dsXfffReffvopIiMjodFokJOTg4yMDJdgKywsTJqGW1paCpPJVKXt2NhYCIIgrQP4j3/8A71794Yoipg9ezaGDx/epK/t5ZdfRlJSEk6ePAkAWLNmDdauXYu4uDj4+fkhJycHKSkp0vXR0dHSfuVRlADw9NNP4/7775dGIK5btw6bNm1CZGQk2rdvj6KiIqSnp8NguBRyOH+dAPv08bi4OGk/KioK//znP7Fo0SIA9mnVTz75JHx8fNClSxeo1WqUlpYiKSkJ5eXlLn194YUXrvyLRNRCpWaV4qc/ErHn2EXYmqhYSqC/GpOGx+DmgVHw8uTSAEREREQtAUciEhG1YA8//DAeffRRl2l7Op0Op0+fxsGDB5GamioFiF5eXpg/fz6WLVsmXWuz2XD48OEq7QYGBuL++++X9s1mM/7++2/Ex8fjyJEjTfiK7Hx8fLB8+XKMHj3apa9nz57FgQMHpMBQqVRi3rx5eOCBB6TrVCpVlfb69OmD999/H97e3tIxs9mMpKQkHDx4EOfOnZMCREEQMHXqVKxdu9Zl/cT4+Pgq7T744IN4/fXXXdrVarU4cuQI9u3bh5MnT7oEiKNGjcI333yD9u3bN+CrQtSyXczT4d//PYS57/2JXUcymyRAjOnoh2fu7YtlL4zG5BFdGCASERERtSAciUhE1MI988wzGDt2LH766SccOnQIFy9ehMFggFqtRmBgILp06YLrr78eEydORLt27QAAnTp1QnJyMgDg559/Ru/evau0++KLLyImJgarV69Gamoq9Ho9/Pz8al1PsDH5+/vjk08+wV9//YV169YhPj4eeXl5sNlsCAkJwbBhw3DPPfegc+fO+PLLL6X7agrobrnlFvTu3RurVq3C3r17kZycDJ1OB5VKBT8/P8TExKBXr16YMGECOnfuDAC48cYbsWrVKgD20ZBz5sypUhBl2rRpGDNmDH777Tfs378fiYmJKC4uhslkgr+/P0JCQjBgwACMGTMG/fr1a6KvFpH75BbqsXJrAv6IT2+ykYd9uwVj6ogu6BUbyLUOiYiIiFooQXTMZSNqw8rLy3H69GmXYz169IBarW5Qe3q9HqmpqdJ+VFSUy9p2RM3JarW6TOP19PR0KUTSGrz99tv46quvAACDBg3CihUr3NuhZsCfI22DTqdDQkKCtN+1a1doNBo39uiSgpJy/PzHOWz+KwUWa+P/c1EhFzCibzgmj+iC6A6+jd4+0ZVqyd+fRG0ZvzebR2O/R6arA0ciEhFRs1q6dCkA+5qE/fv3R0RERK3Xi6LoUpm6Z8+eTdo/orauRGfEL9vPYcPeZJgstkZv39tTgbGDojFhWAza+/GNCBEREVFrwRCRiIia1aFDh7Bv3z4AwPDhw13WcKzOTz/9hMTERGl/zJgxTdo/orZKpzdhzc4k/LYrCQaTte4bLlNQgBqThnfGmAGRXOuQiIiIqBViiEhERM3qxhtvlELEXbt24ZVXXsGjjz6K8PBwl+tKSkrw7bff4pNPPpGODR06tNr1HYmo4fQGM9btuYA1O5JQVm5u9PY7h/thyoguGHpdR8jlrOlHRERE1FoxRCQiIhdfffUV9u7d2+jtDhkyBDNnzsS0adPwv//9D2fOnAEArFq1Cj/99BPCw8MRHBwMpVKJgoICJCcnuxR5iY6OxjvvvNPo/SJqq4xmKzbsTcYv28+htMzU6O337x6CKSM749rOLJZCREREdDVgiEhERC4SExNd1iBsLEFBQQAADw8PfPPNN3jppZewZcsWAPZ1D9PT05Genl7tvbfeeiteeeUV+Pv7N3q/iNoas8WKLX+l4qc/ElFYamzUthVyGUb1C8ekEZ0RFcpiKURE1DaZrWbklhUgS5uLbF2u0+c8lJn18FKo0aV9NKZ0vwUx7aLc3V2iemOISEREzc7Pzw8ff/wxTp8+jd9//x2HDx9GSkoKtFotAECj0SA6Ohr9+/fHxIkTERcX5+YeE7V+VqsNf8SnY+XWBOQVlTdq295qJcYPjsZtQ2PQztezUdsmIiJqiSw2K3LL8pGttYeEWbpcZGvzkKXLRb6+EKIo1nhvudmAgowiHMg4gtn978NNnYc2Y8+JGo4hIhERuVi8eDEWL17cLM/q0aMHevTo0SzPImqrrDYRu49m4ofNZ5GVX9aobatVCkwe0RmThneGt5rFUoiI6OpitVmRV1bgEhBma3ORpctDXlkBbKLtip/xxaEf0MEnGD2C+UtzavkYIhIRERFdhURRxP4TWfh+81mkZWsbtW0PpRwThnbC1FGx8PX2aNS2iYiImpPNZkO+vhBZjmnHFSFhtjYXuWX5sDZCUFgbURSx+fwuhojUKjBEJCIiIrqKiKKIQ2dz8d9NZ5CUUdKobSvkMowfHI07boxFAKctExFRK2ETbSjQF7msTZily0WONg85Zfmw2Cx1N9KEDmeddOvzieqLISIRERHRVeLYuTz8d+MZnE0tatR25TIBYwZG4a6b4hAUoG7UtomIiBqDTbShsLwY2do8qZiJY0Rhji4PZjcHhbWRCzJ3d4GoXhgiEhEREbVyZ5IL8d9NZ3D8fH6jtisTgJH9InDPzV0R2t67UdsmIiK6HGarGaVGHbJLcpGsz0CpWYcicym2av9CnqEQObo8mKxmd3ezQdqr/d3dBaJ6YYhIRERE1EqdzyjG95vOIv5MTqO3PfS6jrj3lm6ICPFp9LaJiKhtE0UR5RYDSo06lBq0KDXqoDXq7PvG6vcNFqO7u91kxsWNcncXiOqFISIRERFRK5OaVYrvN5/F/hNZjd72wJ6huG9sN3Tq6NfobRMR0dXJZrNBZypzCf1KawkFtcYyt69D2FL0DI7DiOgb3N0NonphiEhERETUSlzM0+GHzQnYdTQDoti4bfeJC8L947ojLjKgcRsmIqJWx2Q1u44ENOigNV3aLjVW7Bvsx3QmPUQ08l9MVzmlTIFh0QPxcN9pUMqV7u4OUb0wRCQiIiJq4XIL9Vi5NQF/xKfDZmvcN2k9Y9rj/rHdcE3nwEZtl4iIWg5RFFFm1qPYUIri8lIUG0rs24ZSlLhMJ776pw67g1rpiQ6aYIT6BKODJhhhvqHo2+EaeHmwWBm1LgwRiYiIiFqogpJy/PzHOWz+KwUWa+OGh7ER/rh/XHf0iQuCIAiN2jYRETUPs9WMEoMWxYZSFBlKpICwyBEQll8KC1tydeKrgadCdSko9AlCqCYYHXyCEaoJgq/Kh3/X0lWBISIRERFRC1OiM+KX7eewYW8yTBZbo7Yd3cEX94/thgE9Q/mGhoioBRJFETpTmT0YdAoB7aMIL+0XGUpQZtK7u7ttikruIY0mDJWCwiB00ATDz9OXf6/SVY8hIhEREVELoSs3Y83uM/htVxIMJmujth0WpMF9Y7thSK+OkMn4JoeIqLmZLCYUG7VOQWBJRVDoOr242FAKq61x/w6g+vOQKxGqsY8gtAeGQfYRhT7BCPD0Y1BIbRpDRCIiIiI3M5ptOJCgw4HV+1BmaNzpZiHtvHDPzV0xsm845HJZo7ZNRNTWOUYNFpWXOE0nrphabChFScUahEWGEujN5e7uLlVQyhQIqRwSVkw/DlD7QSbw70ui6jBEJCIiInITk9mKfWe02HNaC72xcactt/fzxLQxXTH6+kgoFXwzRER0uaw2K4oNpSgsL0aBvgiF5cX2D30xChzb5cUwW83u7ipVQyFTIMQ7EKEV043taxXapyK38/JnUEjUAAwRiYiIiJqZ1SZi818p+HHLWRRrTY3atr9GhTtvisXYQdHwUMobtW0ioquF0WKSQkApINRX7Jfb94sNpRDFxi1qRY1LBgFB3oEI8w1xWauwgyYYgV7tIJMxKCRqTAwRiYiIiJpRYloRPvnlGC5kljRquxq1ElNHdcFtQ2OgVvGfeETUNomiiDKTXgoCC/SO0YMV+xXBIQuStEyCIMDXQwMflQa+Kg18VT7wVTnte2qgtClQcDEParknvOVqdO/WHRqNxt1dJ2oT+C9MIiIiomag05vwzYYz2PxXChpzYItapcDkEZ0xaXhneKuVjdcwEVELY7VZUWLQOgWERSgsL6kSEHJ6ccuhlCvt4Z+HPQD0qQgFfWsICb09vOqcZqzT6ZBQ0LhLgBBR/TBEJCIiImpCoihie3w6vl5/CiW6xpu67KGUY8LQTpg6Kha+3h6N1i4RUXOz2WzQmfXQGXUoMpRWrDnoOsW4sLwYRYYSTi92My+l2mmUoD0ErLzvHBKqFCpWMya6ijBEJCIiImoiqdml+PR/x3HqQkGjtamQyzBucDTuvDEWAb6ejdYuEVFjEEURenM5tEYdSo06aE1ll7YrPkorjjk+dCY9RDAcdAeNhzf8PH3gp/KpCAS9LwWBnhUhYcUoQl8PDRRyRghEbRl/AhARtWFlZWX49NNP8eyzz9b7nsOHD+Oee+4BADz77LOYNWtWU3XPxbZt2+Dl5YXBgwdXOZeRkYGbbrpJ2v/2228xcODAZukXUXUMRgtWbk3ArzuTYLU1zhtjuUzA6AGRmDa6K4IC1I3SJhFRbURRhNFidAn9pDDQpEOp0TUMLDWVQWfUwSpyqqk7KWUK+Hv62j/Ufpe2Pf0QoLZ/9vf0hZ+nD5RyLoNBRPXHEJGIqI367bff8O677yI3N/eyQsSdO3dK2yNHjmyCnrlKSkrCv/71L+zZswdvvfVWkz+P6EqIooi/Tmbji19PIL+4vFHalAnAyH4RuHtMV3QI9G6UNomobTJZTK4jA006aI1lLqMEK4eDZpvF3d2mCj4qjRQIBnj6wV99KRy0B4b2fW+lF6cQE1GTYIhIRNQGrVu3DvPnz2/QvTt27AAAhIWFITY2thF7Vb1JkybBbOYC6dTyZReU4fM1JxB/JqfR2hx6XUfce0s3RIT4NFqbRHT1sYk2FOiLkKXNxUVtDrJ1eSg1aCsCQXtQqDWVwWgxururVIlSrkSAIwisFAoGOI0i9PP0hUImd3d3iaiNaxEh4tGjR7Fq1SocOXIExcXFsFgssNnqHgIvCAIOHTrUDD0kIrq6NDSUy8nJwdmzZwEAI0aMaMwu1YgBIrV0ZosVq3ecx09bE2GyNM4UvgE9QnHf2G6ICfNrlPaIqPUTRRFaow4XtbnI0uYgS2cPDLO0ucjW5bEicQsiQICvY9Sg0/ThysGgv6cf1EpPjhokolbD7SHiZ599hg8//FDav5xqW/xhS0TUvByjEIHmmcpM1NIdS8zDp6uPIzNP1yjt9egUgJkTrkHXqHaN0t7VzGK1wGA1wmCp+DBf2jZaXfedP4wWE8w2M3xVPojyD0OPoDhE+neETJC5+yURAQAMZgOydHnI0uZcCgwrPpeZG2eZBGo4tdIT7dT+aKf2R3t1ANp5+aGdOqDimB/81X7wU/lAzlGDRHQVcmuIePToUXz44YcuwaG3tzc0Gg3kcv7QJSJqaRwhoqenJwuXUJtWWGrA8t9OYteRzEZpT6OWYWxff0wd0xs+PlfX1GWbaIPJYqo20Kvrw1jLOavN2mh99Faq0TWoC3oEdUGPoDhEB0Rw2iA1KYvVgtyy/IqQ0HVkYVF5ibu712b5efqindrPHg6q/dHOy/9SYOhlP6ZWerq7m0REbuPWEPG///0vRFGEIAiYOHEi5s6di/DwcHd2iYiIamAymfDXX38BAG644QZ4evIf0dT2WG0iNuxNxn83nYHecOXFBgQBGBCnwahevvBUylr0LAuD2YB8fVHFRyHy9YXQGcvsoZ61IvCrZvSf0Wpyd9frVGYux+GLJ3D44gkAgEqhQtf2Mege1AU9gmPRuV00PFjB9LIYzAYkF6fjQmEa0ksuQmfSQylXwNvDC95Kr4rPavtn6Zh930uhhkzW+keG2kQbCsuLpZDQOTDMLSuAjRWMm41cJq8YOXgpFGxXEQq2rwgKAzz9oJC7faIeEVGL5tafkvHx8RAEAf3798fbb7/tzq4QETWKjz/+GEuXLgUA3HfffXjllVdgNBrxyy+/YP369UhNTUVpaSn8/f3RrVs3jBs3DhMmTICHh0e92tdqtfj111+xa9cunD9/HgUFBVAoFAgKCkKfPn0wevRo3HTTTTUGEbfeeiuysrKqHO/atau0/e2331Y7yvDAgQPQ6/UA6l4P0WKxYMuWLdi+fTuOHTuGgoICmM1mtGvXDjExMRg6dCimTJmCdu2qn7Lp/HV09vzzz+P5558HAEyZMgWLFy+utR/Jycn4+eefsWfPHmRlZcFkMiEkJATdunXDxIkTceONN14Vb1SpeSSmFeGTX47hQmbjjBLqGhWA6eNiYSy92CjtXQmLzYqi8mIUSAHhpc8FZYXILy9CmUnv7m42G6PFiOM5Z3A85wwAQClToEv7TvZQMSgWcYEx8FSo3NzLlsMRGCYVpuFCURqSC9NwUZsDEfVfpsiZAAFqpadr0FhH8Oh83kNRv79TG4vWqJMKmmRVGllo4jqFTc4xvbjm0YN+8FFpuGQBEVEjcGuIWFBQAAC47bbb3NkNIqImk56ejieeeEIqRuKQl5eHvLw87N69G59//jn+/e9/o1evXrW29eOPP2LJkiUoLi52OW40GlFWVoaUlBSsWbMGPXv2xFtvveUSDDYG5/UQawsR9+3bh5deegmZmVWneWZnZyM7Oxv79u3D0qVLMXv2bMyePbvRR1+JoogPPvgAy5cvr1KYJTU1Fampqdi8eTMGDBiA9957D8HBwY36fLq66PQmfLPhDDb/lYLLWLq5Rhq1EtNv64ExA6Kg15chofTK26yNKIrQmsouBYRlhSgoL0J+WUVIqC9CoaH4stalbmvMNgvO5J3DmbxzWI2NkAsyxAREontwLHoExaJrYGd4e3i5u5vNotxsQHJROi4UNU5gWB0RIvTmcujN5chrwP1KmQJeHl7QOIJFDzW8lV7w8lBD4+EFL6VXxedK+x5qeCnV1YZNJpsZaaUXUVKkrRIY6kxlV/6iqQoBAnw9fSqNHnSdWszpxUREzcutIaKfnx8KCgquurV/iIgAoKSkBI888ghSUlIAAGq1Gl27doUgCEhISJBG9aWmpuKBBx7AsmXLMGDAgGrbWrhwIX744QeXYyEhIYiMjITFYsGFCxdQUmIfHXXq1Cncc889+OSTTzBo0CCXe/r164fi4mLk5uYiMTFROj506FBp28+v+mqwO3fuBADExcUhLCys2mt++OEHvP7661XWuu3cuTNUKhXS0tKQk5MDANDr9fjggw9w4sQJLFmyBErlpamCkZGRUp/27NkjHY+Li5MCv7i4uGr7AACLFi2SXp8gCIiKikJISAgKCgqQlJQk9e/gwYOYO3cufvjhB67FS1WIoojt8en4ev0plOgaZ0ruTddHYMZtPeGnabxRbCaLCfkVoWDlkYSOfY6GalxW0YZzhSk4V5iC385uhQABUf5h6B4UK41W9PVs/f++bY7AsCmYbRaUGEpRYrj8hN55FKRaroLVZEWpRQetpQy40ASdbUMECNCovOHroYGPyhs+Kg18VBr4qjTwqTjmq9JA4+GNALUfpxcTEbVAbv2p3LNnT+zatQuJiYkYP368O7tC1CJpjTqYrVe+5lZboZQr4KPSuLsbkvXr1wMAZDIZHn30UcyaNQsajb1/5eXl+Prrr7F06VJYrVYYDAY8/fTTWLduXZUpvitWrHAJEK+77jo8//zz6NOnj3TMarVi69ateOutt5CdnY2ysjI89dRTWL16NTp06CBd9/rrr8PT0xNr166VpgUDwPLly2t9LUlJSUhPTwdQ8yjEP/74A2+88YYU0Pn7+2P+/PmYOHGiy3TtQ4cOYdGiRTh16hQAYNu2bfjXv/6FV199Vbpm0qRJmDRpEgDXqdYzZszA1KlTa+0rAClAHD9+PJ588kl06tRJOnfhwgU8++yz0vOPHj2KNWvW4I477qizXWo7UrNL8en/juPUhYJGaS8q1AeP3X4desa0v6z7bDYbig2llaYYu4aFWmPjVIamhhMhIqU4AynFGdh47k8AQJhvKLoHxUrFWtp5+bu3k3W4FBim4kLFtOQsbW6LDwwbm/MoSKqdt1ItBYE+Ko1LOOjrOO6hgW/FMW+lF5cQISJq5dwaIk6dOhU7d+7EL7/8gocffpgjEokqZJZm4/19y5Be4v51slqbCL+OmDd4FsJ8Q93dFckbb7xRJaBSq9WYM2cOwsPDMX/+fABAfn4+li1bhueee066LisrC//+97+l/ZEjR2Lp0qUuo/YAQC6XY+zYsejduzfuvfdeZGZmoqSkBIsXL8aHH354xa/BeSrzyJEjq5w3mUxYtGgRbDb7IvHt27fH999/7xLeOfTr1w8//PAD5syZg7179wKwj2C87bbb0K9fvyvuq8OsWbPw7LPPVjkeExODL774AjfffDPKyuxT0P744w+GiAQAMBgtWLk1Ab/uTILVduXhiaeHHPfc3A0Th8dAIa/65tlisyDPWIhSiw6lFh1OnE1CqaUMBRXTjgvLi2Fl8YVWKbM0G5ml2diWtBsAEOIdeGmkYnAsgr0D3VZIR28uR4pjhGEbDgzpEk+FqkoQWN0oQcdxjYc3K5gTEbVBbg0Rb7nlFtxyyy3YvHkzZs2ahcWLFyM6OtqdXSJqERggNlx6yUV8sO9L/HvsS+7uCgD7mq+1hVMTJ07Etm3bsHnzZgDA2rVrMX/+fOk39StWrJDW9PPz88Pbb79dJUB0FhoaihdffBFz5swBYB/ll5KSgtDQKwtVHSGin5+fywhIh/Xr17usgfjqq69WGyA6eHp64t///jfGjh0rTcP+/PPP8cUXX1xRPx2ioqLw1FNP1Xg+MDAQY8aMwa+//goALlO7qW0SRRF/nczGF7+eQH5x44xAGnRtB8yadC2CAtTSMZPFhHOFKTidm4jTeeeQmH8BZpvTiPOGLABHrUJOWT5yyvKxI2U/AKCd2h/dg7rYRysGxyLMJ7RJQsXKgWFSUSqytXkMDK9ySrkSod6B8K8oKlLzKEENNCpvVh8nIqJ6cWuIuHPnTkyYMAHnzp3D0aNHMX78eMTGxqJLly7w8fGBQlF39156qWUEBUSNxWAxMkC8QmklmTBYjC2icuasWbPqvOaBBx6QQsSCggIcOXJEGpHnOA4AEyZMgL+/f53tjRo1Cv7+/iguthdK2L17N+68886GvQDYK0IfPnwYgH3txOrWDnSslwgAERERuPnmm+tst127drj99tvx1VdfAbAXZCkvL4dara7jzrrdeOONtYatANC9e3cpRHQU+qK2KbugDJ+vOYH4MzmN0l5oey/MntIL/buHwGAx4nj2GZyuKMpxriAFFhuXqSCgsLwYe9PisTctHgDgo9JI6yl2D4pFlF/YZU/91JvL7VOSC9Ps05IrRhjS1UkQBAR7B6KjTzA6aILRwScEHXyC0dEnBO28/FmNmIiIGp1bQ0TnipyCIMBmsyExMfGyRoQwRKSrjadChQi/jgwSr0CkX1iLCBDDwsLQrVu3Oq/r3bs3PDw8YDLZCzfEx8ejX79+uHjxIrKysqTrrrvuuno9VyaToUePHti3bx8A4PDhw1cUIu7ZswcWiz30qGk9xPj4eGl78ODB9R5NM2zYMClENJvNOH78OAYOHNjgvjrU5+vuWJ8SAAwGwxU/k1ofs8WK1TvO46etiTBZrnzKsEIuw6RRkeh5rQyJhfuxdts5nC9M4XRkNxIgwFOhcvlQKTxQbjYgreRiixqNpzXqcDDjKA5mHAUAeCnV6BbYWZoCHdMuymX6KAPDtiPA0w8dfJxDQvt2iHcgC48QEVGzcvvfOs4VPKvbr4271pEhamrzBs/CB/u+RFpJZt0Xk4tIvzA8PfgRd3cDgGtBkNoolUpEREQgKSkJAJCba38TmJqa6nLd/PnzpfUTL4ejGnJDOUYZymQyDBs2rMp5i8XiMpKvtqrJlVW+9kr76lCfEZvOI3wu5+8eujocS8zDp6uPIzPvCouSyM2QaYoQGmWAT7AWm7SbsGEvQ8OG8JAroaoU+F0K/qo/XtuHSqGCh1xZ478Xy0x6nM1Pwpm8cziTew5JRWmwtaDAV28ux+GskzicdRIAoJJ7IC4wBj4e3kguSkeWjoHh1cRLqZaCQntIGIwOGntoqFZ6urt7REREANwcIn777bfufDxRixXmG4p/j32J1ZkvU0urzhwQEFDva319faXt/Px8AJDWCrxSV9KOKIrYtWsXAPtIyMqVox3tO4dwzq+lLpWvLS4ublhHK2mMKdF0dSosNWD5byex60gDf0kjN0PmUwSZTyHkvoWQeZUCAlAEoKi0Ubva4ilkCrRX+8Pbw6t+wZ+y4rjcdd9ToYKnXNXsVVu9PbzQr+O16NfxWgCAwWxAYkFyxdTz8zhfkOy6XqWbGa0mnMg56+5uNIhSpkCEX0cIEFBm1qPMpEeZubxFhbbNQSlTIFQKCF0DQ1+VDwdIEBFRi+fWEHHAgAHufDxRi9eSAjG6fPVZ19XBarVK245AzjGF2GHAgAHw8PC47H60b9/+su9xOH78uDTKsKapzI6KzA3h/LoBVLveIlFjsNpEbNibjP9uOgO94TKCIYXJHhhWBIeClxZt5X2+v6cvAr3aob1XAAK92iHQK+DStnc7+Ko0V9Waa55KT/QK7Y5eod0BACarGUmFKTidaw8VEwouwGgxurmXLZ9SpkCUfzhiAiIR0y4SMQGRCPfrWKWSryiKMFiMl0JFU7nTtj1ktH+u7lh5i/2zEAQBwV7tK00/tn9urw5o9rCciIioMbl9OjMR0dWqrKys3teWll4awuSYilt5lN4LL7yA7t27X3Y/rFZrg9f8c1RlBoCRI0dWe03lqcPOr6Uula/19vau971E9ZWYVoRPfjmGC5n1GJWrMELmU2QfZehTCJnXFU53bqE8FSopGHSEgu3VAQj0th9rp/aHso1Xa/WQKyvWI4wFAFhsVqQUpeN0XiJO553H2bzz0Jsbp5J3a1U1MIxCuF+HKoFhdQRBgFrpCbXSE4FeVUe518VitUBvLofOrIfeVA6dSQ+9WV/xuWLfpIeuIoTUmxzXNs4oSH9P3yprFHbwCUaId2Cb/94hIqKrV4sKEUVRxMmTJ3Hs2DHk5+dLVTpDQkLQvXt39OrVi7+9I6JWIyUlpV7XGY1GZGRkSPsxMTEAgJCQEJfrEhMTGxQiXgnHeojBwcE1PlupVCIwMFCahn05xbHOnnWdmhceHt7AnhJVpdOb8M2GM9j8VwpqXPZSaYDcpxAyX/tIQ5m6/uF/SyUXZGin9rcHg1JQGOAyqtBLqebUycukkMnRpX00urSPxsRuN8NmsyGt5CJO5yXiTN55nMk7h1Lj1Rk6A06BYUVYaB9hWL/AsCko5Ar4yn3g6+lz2fdKoyCdRzo6RjlKx8pRrC9BQXEBlDIl/JW+6BnZDTFBkQj1CYaXkstmEBFR29NiQsSff/4Zn332GS5erLkibWBgIJ544glMmzatGXtGRNQwCQkJ0Gq18PGp/Q3O33//7TJ1uX///gCA2NhY+Pn5SWsa/vnnn5g0aVK9nv32229DEASEhYUhLi4OPXr0uOz+5+bm4vTp0wBqHoXo0K9fP2zevBkAsHfvXoiiWK+AYs+ePdK2QqGoV1VlorqIoojt8en4ev0plOhMLucEj3JpTUOZbyFknno39bLhfFSaiqnFTiMJpc/t4O/py1+6NgOZTIbogHBEB4RjfNyNEEURF7U5OJN3Dqdzz+F03jkUlhe7u5sNopQrEe0Xhk4tJDBsbC6jIFHzKEidToeEhARpv2tYV2g0XGqGiIjaLreHiFarFc8884z05rO2Cpl5eXl47bXXsGfPHixZsoRrZxFRi2Y2m/G///0P06dPr/W67777TtqOjIxEz549AdjfoI4YMQK//fYbAGDLli24cOGCNFKxJvHx8fjqq6+k/f/7v/+rEiLWJ2DYuXOn9DO5pvUQHUaNGiX9HM/IyMCWLVtwyy231HpPQUEBfv31V2n/+uuvr/bNmSAIrJ5M9ZaaXYpP/3ccpy7Y1/IUPPT2sNARHHq27OmnHjJlxQhC53UIK0LCiinHKsXlr41KTU8QBIT5hiLMNxSjOw+DKIrIKyuQCrWczjuHHF2eu7tZReXAsHO7SIT5Xj2BIRERETUet4eIixYtwqZNmwDY39QOHz4cgwcPRkREBNRqNcrKypCamor9+/dj3759sNls2LZtG/7973/jueeec3PviYhq99FHH2Ho0KHo0qVLtedXrlzpsu7g9OnTXUbwPfzww1KIaLVa8dRTT+G7776rsg6hQ2lpKV566SVp38PDA3fccUeV6yoXaDEajVCpVC7HHFOZPTw8MGjQoJpfJIBbb70VS5YsQXZ2NgDgtddeQ1xcHDp16lTt9UajEfPnz3dZE7GmsFWlUklrOhqNLXMhfXI/g9GCH7ecxdoDJwDvQihjKtY0VDVsPdDm4CFXorN/FNqLvohQd0CgRwB6d+9V5+hlah0EQUCwJhDBmkCM7GT/GVqoL8aZ/HM4k2sPFTNKs5q1T47AMKZdlLSOIQNDIiIiqi+3hoinT5/Gjz/+CEEQ0KFDB3z88cfSCJzKHn74YZw6dQr/+Mc/kJ6ejhUrVuD222+v8Y05EVFLUFZWhvvuuw+vvPIKxo4dK42g1ul0+Oyzz/Dll19K115zzTVVlmvo1q0bZsyYga+//hqAfb3BO+64AwsWLMCoUaNcRmTv2LED77zzDpKTk6Vjjz76KDp27FilsEpAQIDL/u7duzF69Ghp32QyYd++fQDsVaHrKnji4eGBhQsX4v/+7/8giiIKCwtx991345///CcmTJjgEloeOXIEb775Jk6ePCkdGzduXK2FWxzh5N69e3HPPffU2he6+lltVhSUFyNHl4ccbR6OpKTicEoyLKoCeFzbcoNmldwDXQM7o0dwLHoExaFLuygYyg0u0yW5TuHVrZ2XP4ZEXo8hkdcDAEoNWpzNT7KPVsw9h5TiDIhonJHXSrkS0Y6iJxWBYbhvB8gZGBIREVEDuTVEXLVqFURRhFqtxtdff42oqKhar+/ZsyeWL1+OSZMmwWAw4KeffsILL7zQTL0lIro8Xl5ekMlkKC4uxrx58/Dmm2+ic+fOMBqNOHv2LEymS2u1RUREYOnSpVAoqv5YfvbZZ5GZmYktW7YAANLT0/H444/D399fGumXmpqKwsJCl/vGjh2Lxx9/vNqpwLGxsS7ThP/xj3+gd+/eEEURs2fPhkKhkKpL1zWV2WHkyJF4/vnnsXjxYthsNhQXF+OFF17AokWL0KVLF6hUKqSlpUmBoMPgwYOxePHiGtuNi4uT7tm6dStuvfVWBAUFISYmBq+88kq9+katj95cjlxdPnLK8pGjy0eOLg+5ZfnI1uUjv6wA1sqVVX2Alha/qRWe6BbUGd2DYtEjKBYx7aI44otc+Hr6YEB4bwwI7w0A0JvKcTY/CWcqpkAnFaZU/X+9GpUDw87tohDmG8rAkIiIiBqVW0PEAwcOQBAETJ48uc4A0SEyMhJTpkzBDz/8gIMHDzZxD4mIGi4gIAAffPABnnzySWRnZ6OwsLBK0AcAN910E9544w20b9++2nYUCgU++ugjfPHFF/j888+lcK+4uBhHjhypcr1KpcKjjz6KOXPmQCaTwWq1VrkmMDAQ999/v7Qeo9lsxt9//w3APvLQ8Qyg/iEiADz00EOIjo7GwoULkZmZCcA+GvPYsWNVrlWr1Zg1a5YUWtZkzpw52L9/P8xmMwDg/PnzOH/+PFJSUhgitmI20YbC8mLk6uzBYG5ZXkVYaA8Ota2wyq2XUo1uQV3QIygWPYPjEO0fzhCHLouXhxp9O16Dvh2vAQAYLEacK0iWQsWMkiyIEBGiCZLCwpiASAaGRERE1CzcGiLm5OQAAPr06XNZ9/Xu3Rs//PBDrZWciYhaguuuuw6///47fvjhB2zatAlpaWkwGo3o0KED+vfvjzvuuAN9+/atsx1BEDB79mzcddddWLt2Lfbu3Yvz58+jqKgIFosFfn5+iI2NxaBBgzB58mSEhITU2eaLL76ImJgYrF69GqmpqdDr9fDz84PFYpHWQ4yOjq73L3kcRowYgc2bN2PDhg3YuXMnTpw4gYKCAhiNRvj7+6Nr164YNmwYJk+eXGVadXX69OmDH3/8EV988QWOHDmC4uJieHh4wMfHp9q1HKnlMFiM1Y4mzNHlI7esABabpe5GWjCNhze6V4SGPYLjEOUXxqrI1Kg8FSpcG9IN14awcj0RERG5n1tDRMc0ustd/8dxvWNUChFRS6bRaPDoo4/i0UcfveK2AgICMH369DorPteHIAi49957ce+991Y598wzz1xR20qlEpMmTcKkSZOuqB2Ha6+9Fh9//HGN58PDw13WlauPqVOnYurUqVfatTZNFEUUGUrsQaEuHzkVowlzdfnILstHiaG07kZaEV+VRpqa3CM4FhF+HSETGBoSERERUdvg1hAxJCQEaWlpOH78OCZMmFDv+44fPw4ACA4ObqquEREREQCTxYRcfcGlkYQVAWGuLh+5ZfkwWa/eX+j5efqiZ0Vg2CMoDmG+oSx8QkRERERtlltDxH79+iE1NRWrV6/GI488Uq/pd9nZ2Vi9ejUEQajXFEAiIiKyE0URRosReosBenM59KZy6M0V204fBfoiadpxYXmxu7vdbNqp/aVRhj2CYtHBJ4ShIRERERFRBbeGiHfddRdWr14NvV6Phx9+GEuXLkV0dHSN1ycnJ+OJJ55AWVkZBEHAHXfc0XydJSIiciObaLsU9DmFf+WWcuhNVYNA+4fr8XKzAbZ6VHptKwK92kmjDHsExyLEO5ChIRERERFRDdwaIvbu3RsTJkzAunXrkJSUhIkTJ2LMmDEYNGgQIiIioFarUV5ejrS0NOzfvx/btm2D2WyGIAgYP348+vXr587uExER1YsoirCJNtikz7Ya9i8dMxoMMFnN0BrLUGrU4j9nv0eOqcDdL6VVC/EORPfgWKkQSrB39RXRiYiIiIioKreGiADw+uuvo6ioCHv27IHJZMKGDRuwYcOGaq91FGIZMGAA/vWvfzVnN6u1YcMGPP300wgLC8P27dvrfd/hw4excuVKxMfHIy8vD2q1Gh07dsSoUaNw1113oUOHDvVuKyMjA//973+xd+9eZGRkALCvFTlgwADceeed6NWrV73b0ul0WLVqFbZt24bz58+jvLwcwcHB6NatG6ZMmYLRo0fXe4SGzWbDxo0bsXbtWpw6dQolJSXw9/dHVFQUbr31VkyaNAne3t717hsRkTtVG/jZLm1bRRE20VprKHi5LBZLRfhohU20QYTYBK/s6tZO1R69w7qhZ1Acugd3QaBXO3d3iYiIiIio1XJ7iKhWq/H555/jm2++wZdffonCwsIar23fvj0eeughPPLII5DJ3FsNMT8/H4sWLbqse2w2GxYtWoT//ve/LsdNJhNKSkpw5swZfPPNN1i4cGG9Cs2sXr0aCxcuhMFgcDmekpKClJQU/Pzzz5g5cyaeeeYZyOXyWts6ceIEnnzySVy8eNHleGZmJjIzM/HHH39g6NChePfdd9GuXe1vwgoLCzF37lzEx8e7HM/Ly0NeXh7i4+OxYsUKLFmyBD169KjzdRIRXQlRFJ1GAtpgrXUUoPM1ohQWMsBr2USbANGohmj0gofNF0Nje+KuG25AkIahIRERERFRY3F7iAgAcrkcM2fOxAMPPIBjx47h6NGjKCgogE6ng5eXFwIDA3Hdddehd+/e8PDwcHd3UVZWhjlz5iA/P/+y7nvttdewatUqaT8mJgbXXHMNysvLsX//fuh0OpSVlWH+/PlQq9UYPXp0jW2tW7cOL7zwgjQ6s127dhgwYAAUCgWOHDmCzMxMiKKI5cuXw2q14vnnn6+xraSkJMyYMQNarRYAoFKpcMMNNyAgIADnzp3DqVOnAAB79uzBY489hu+++67GPweDwYCZM2fizJkzAABBENCnTx9ERUUhJycHBw8ehMViQWpqKmbMmIFffvkFERERl/V1JGrJ5s6di7lz57q7G1eVmqcCVw4FbbDZql5j5RqAVwXRrIRo9IKtIiwUDV5ScCiaPOHpocDtI7tg8sguUKtaxD9viIiIiIiuKi3qX9lKpRL9+/dH//793d2VGhUWFuLxxx/HsWPHLuu+P/74QwoQFQoFXn/9ddx+++3SeZ1Oh5dffhkbNmyAKIp47rnnsHXr1mpH/eXk5OCVV16RAsR77rkHL7zwghTs2Ww2fP3113j33XchiiJWrFiBoUOHYtiwYVXaEkUR8+fPlwLEfv36YcmSJQgODpau2b17N5555hmUlJTg6NGjWLp0KebNm1ft6/zggw+kADEoKAj/+c9/XKZUp6amYu7cuUhISEBxcTHmz5+PlStXXtbXkohaN0coaBVtsNqsTp+tsNpssIpW2FyOMwRsC0SbANGkvhQMGpwCQ6MasCqrvU8mEzB2UBTuubkrAnw9m7nXRERERERtR4sKEVu6kydPYu7cuVWm/NbH+++/L23/4x//cAkQAUCj0eDf//43SktLsWfPHuh0OixbtgzPPfdclbY+/fRT6PV6AMCIESPw2muvuZyXyWR4+OGHYTAY8NFHHwEAPvzww2pDxI0bN0ojDYOCgvDZZ5/B19fX5Zphw4Zh6dKleOihh2Cz2fDdd9/hoYceQvv2rgvSZ2dn4/vvvwdgH4H4ySefVFmTMSoqCl999RWmTJmC3NxcHDlyBDt27MDIkSNr+tIRUStgE22w2mywOQWBNQWEVk4PbrNEi8I+mtB5FKHRC6JBDdHkCeDylioZdG0HPDi+O8KDfZqmw0REREREJGmWENERUgFAz549qz3eUM7tNRW9Xo8vvvgCy5cvh8lkAgCpcnR9/P333zh//jwAIDAwEA8++GC118nlcrz00ksYN24cRFHE//73P8ybNw9K5aXRF3q9Hr/99pu0/49//KPG586ePRu//PILLl68iBMnTuDkyZO45pprXK5xHgX4yCOPVAkQHQYMGIDx48dj/fr10Ov1WLt2LWbOnOlyzS+//AKz2QwAGDVqFK677rpq2woMDMTcuXPx8ssvS31giEjUskijBSuNCKwaCFql6cREgiAgUB2AEE0QgjWB0Mj8cCbRgJNnymEzeNU4mvBydYsKwIwJPdGjE6srExERERE1l2YJEW+//XYIggBBEHD69OkqxxuqcntNITU1FQ888ABycnKkY506dcKrr76K6dOn16sN58rNN954I1QqVY3XdurUCT179sTJkydRUlKCAwcOYOjQodL5AwcOoKysDAAQHR1da2EShUKBsWPH4quvvgIAbNmyxSVE1Gq1LsVPxo0bV+vrmDBhAtavXy+1VTlEdH6d48ePr7WtcePGYeHChbBYLNi7dy90Oh00Gk2t9xDRlREhwiaKMFpNEK1iraGg1WZ1d3ephfJUqBCiCUKIdyBCNPaPYO8ghGoCEejVDgq5ArpyM375IxGrd1+A2eIBoHHWM+4Y6I2Hbu2BQdd2uKJ/PxARERER0eVrtunMjvX76nu8pcjOznYJEO+++24899xztVaRruzQoUPS9sCBA+u8vl+/fjh58iQAYP/+/S4hYkPacoSI+/fvdzl35MgRWK32oCA6OhohISG1ttW3b19p+9ixYygrK4O3tzcA+whJx1qI9embj48PYmNjcebMGZhMJhw6dAgjRoyo8/UQUfUcIwfNNgssNgssVissNou0b7ZaLk0hNrm3r9RyyQQZvJRqeCk90d6rnT0k9A60h4YV2z4qTY0Bntlixa87k/DTtgRo9eZG65e/RoW7b+6KW26IgkJ+eVOeiYiIiIiocTRLiDhlypTLOt4S9enTBwsWLEDv3r0B4LJCRMdUZgDo3Llzndc7X5OQkFBjWzExMZfVVmJiIkRRlN78XW6/fH19ERQUhLy8PNhsNpw/f16asnzhwgXYbPbpjD4+Pi6FWWrrmyN4TEhIYIhIVIvqQkJpuyIsbOm/lKGmpZAp4KX0hJdSDXXF5+o/POHl4XrMcb1K7tGgEX42m4jdRzPx7cYzyC3UN9prUnnIMWVEF0wZ2Rleno0zFZqIiIiIiBqmWULEt95667KOtyQdO3bEd999hwEDBjTo/qKiImn6MQCEhYXVeU9oaKi0nZmZ6XLOeT88PPyy2jIYDCgoKEBgYGCVturTL0d7eXl50v2OELEhbTmPfKz8OonaGoaEbZsAATKZDDJBgEyQQSbIYLFZYJTpoVaqoZDJcVvXMfDw9JCCQi+l2iUM9JC7J2Q7fj4PX687hfMZJY3WpkwAxgyMwr23dEM7VlwmIiIiImoRWJ25DhEREYiIiGjw/c4jFpVKZY2FS5wFBARI28XFxS7nCgoKpO3K1ZGro1ar4enpCYPBILXnCBGd23Icu5y+FRUVVduvhrRV+XUSXW2qhoSOqcbWqtONqVURIFwK/2QyKQR0/pA7hYP2D9f96kb/6eV6lMlKofRQAPBC76goeHl5Nf8LrEFKVim++f004s/k1H3xZRjYMxQP3doDESGsuExERERE1JIwRGxizqMQPT3rN5pCrVZXe/+VtOcIEZ3vd96urdhLffrWkLac3wxXfp0tgV6vl9aMvFwGgwFWq1UqKGS1WhvcFrUeVtFWMXLQKo0gtG/b9xkStkz2ELBqsFfrPoRaA8B6E1FjZWur1QpRFKUPvV4vLRvhTgUlBvz85wXsOpqFxhwc2yXcF/fd3AXdouy/YNLpdI3XeAum1+tr3Sci9+H3J1HLxO/N5mE0Gt3dBWqBWkyImJOTg8LCQnTv3t3l+J49e/Dpp58iISEBarUaN9xwAx577LF6rQfYEphMlyoY1DdcUygu/bGYza4L0zu35+FRv2qXNbXXkL4plZemy11pW7W9zpYgJSXlittQKBRQKBQwmUyQyVgMoDUSK6I/URTh+M8qVlQwrvSZIaF7OEYCOsJAl33YQz4ZhIrPVffrJFZ8SLs2WAFY0bS/GDCZTBBFERaLBRaLBampqU36vLoYTDbsOa3FXwlaWBrxpbfTKHBTb1/0iFBDMOQiISG38RpvhdLT093dBSKqAb8/iVomfm8SNR+3h4harRYvvfQStmzZguHDh+Pzzz+Xzm3btg1PPfUUbDYbRFGETqfD+vXrsX37dnz66acNXqewOTmPUKlviOS87lnle+RyuTQSRS6XN1p/6ttWTX2rabshbRFdruqCvuq3a7kGIkQRsFU6Ts1HmhYMp5F/uDTyT5BGAFbEgxVBITUti1VE/Hkddp7UotzYeCMhvVQyjLjGF/26eEMh558jEREREVFL5/YQcfbs2Thy5AhEUURaWpp03GKx4M0335SmgDrW9nMUKnnmmWewceNGaDQad3W9Xry9vaXt+k5ndb6u8mhDtVotjdqrb3sWi6Xa9pynEztfc6VtNcbrpKubVbTBBls1gR5qCPdcgz7HMRuDvhZPBqdpwJXCQbl07NIIQmo5RFHEqbRy/HGsBEW6xht6qJALGNxNg8E9fOCp5C+QiIiIiIhaC7eGiFu2bMHhw4chCALCwsJw3333Sef27NmD7OxsCIKAPn36YPny5VCr1fjxxx+xcOFC5Ofn4+eff8aMGTPc+Arq5hyu1XethvLy8mrvd+yXlpYCqP86gjW115h9a0hbzte1pGIBDtHR0fWeml2ZwWCQ/v8VBAEeHh71XsOytRMhwmpzWhtQdF4j0AqrzcLYrxUTIEAuk0MuyCCXySAX5BWFQ+Su+xXXUMPZbDYIggCFQgG5XI7Q0NBm+zlyOqUIP2w5j6TM0kZrUxCAkX064o5RMWjn27CfrVcjvV7vMg0rIiKiRf6dSNQW8fuTqGXi92bzMBqNjbLEF11d3Boibtq0CYC9yvAvv/ziUq13y5Yt0vbcuXOlgh733HMPdu7ciR07dmD79u0tPkT09/eXtsvLy2EwGOp8E+hc9bhdu3Yu5/z8/JCdnQ2gfhWNHc90cK7o7OfnJ23Xtzqyc9+c23J+nVfaVkvh5eXlUkjmcshkMpcp4nK5vEHTz1siURRdioeYKyoNW2xWqfIwtR4CALlMDplTCHjpsyMslEvHZQwGm41cLpd+EQHYfyY15T+QzRYbki+WYOXWBPx9unErLl/fIwQP3doDUaG+jdru1cjLy6vFz7Igaqv4/UnUMvF7s2lcLe9fqXG5NUQ8duwYBEHAXXfd5RIgAsCuXbsAAD4+Phg4cKDLucGDB2PHjh1ITk5utr42lK+vL9q3b4+CggIAQHZ2NqKjo2u9xxESAkBYWJjLuZiYGCQkJFS5rj5taTQal7DPuThNVlZWnW3V1reGtJWTc+lNauXXSe7jCAnNjqDQanHdZ0jYasgFGRQyBeQyOQSbfV8myODp4QmlQintX1F1YWp1zBYrLuaVIS1bi9ScUqTnaJGWrcXF/DLYbI07Tjg2wh8zJvTEtZ0DG7VdIiIiIiJqfm4NEQsLCwGgSqXls2fPIj8/H4IgYMCAAVWKbgQG2t+M1HfEm7t17txZChGTkpLqDBHPnz8vbcfGxrqc69Kli7SdlJRU57Odr3G+t/L+hQsX6myrpKQEeXl5AOwj7Zz/3KKioqBUKmE2m5GXlwetVgsfH59a23N+nZX7Rk3HJtouTS+uNILQMcKQWgdHSKiQK6CQKaCUKaCQyaVtx89Oq9XqMiLZU6HibxbbALPFisy8MqRXhIVp2Vqk5zRNWFhZaHsvPDi+B4Ze15EhNRERERHRVcKtIaKjynDlkHDPnj3S9qBBg6rc5wjkGrpeXXPr06cPDh48CAA4fPgwbrrpplqvP3TokLTdv39/l3O9e/eWtg8fPlzns53b6tevn8u5Hj16SMFfYmIidDpdrcPAnZ/Xs2dPl6m+CoUC11xzjVQk5/DhwxgxYkSNbZWWluLcuXPSvX369KnztVD9SCGhywhC13UJqXVwDgntAWH1ISG1bY6wMC3bHhSmVYwszCpo+rCwMh8vD9x9cxzGDeoEpYL/fxIRERERXU3cGiKGhoYiLS2tymKdO3fulLaHDx9e5b6///4bANCxY8cm7V9jGTNmDD7//HMAwMaNGzFv3rwaRwFduHABp0+fBmBf22HAgAEu5wcOHAg/Pz+UlJTgxIkTSE1NRVRUVLVtWSwWad1JALjxxhtdzms0GgwZMgQ7duyAxWLBxo0bceedd9b4OtavXy9tjxo1qtrXeeTIEena2kLEjRs3StWZ+/fvzzUsGsBis0JvLofZapZGEZptVlgZErYaNYWEjm2GhOTMYrUi+WKJNP3YnWFhZR4KGSaN6IzbR8XCW610a1+IiIiIiKhpuPUd6vXXXw9RFLF69WqUlJQAAI4fP474+HgIgoC4uDhERES43LN7925s3bpVqtrcGlx77bXS1N/MzEx8+eWX1V5ns9mwaNEiiKL9zeDEiROrFPZQKpUYN24cAPvadW+++aY0orOyL774AhcvXgRgn1JdeVQjAEyaNEnaXrp0qTTFvLKDBw9iw4YNUh+mTp1a5Zrx48dDqbS/efz9998RHx9fbVv5+flYunSptD9t2rRqr6Pq2UQbcnR5SC3OQF5ZAYoNpdCZ9DBYTAwQWxi5IINK4QFvDy/4e/oi0KsdQjXBiPDtgE4BEYgOiEC4XweEaoLQ3isAfp4+8PbwgofCo1UFiA888AC6du2Krl27YsGCBe7uTqtns4kwmiwoKzfDYrWhRGdEanYpnv1wN558bwfe/e8hrNqWiP0nspCZp3NrgCgIwJgBkfj8+dF4cHwPBohERERERFcxt75LdYx6y8zMxMSJE/Hkk09ixowZUoh21113SdceP34cr7zyCh577DGIoghBEGodNdfSOL+xXrJkCVasWCG9TgAoKyvD/PnzpancXl5eeOyxx6pt64knnpBG7u3atQv//Oc/UVZWJp232Wz4+uuv8dFHH0nHnn766WrbGjduHK677joA9qIpDz/8MNLT012u2bt3L+bOnSuFlffccw86dOhQpa0OHTrgwQcfBGBfg+3xxx/Hvn37XK5JT0/Hww8/jNzcXAD2KdVjx46ttm9UlU204WJpDnQmvbu7QgDkghwqhQc0tYWEvpVDQrU9JGSV4zbPERZqy0woKClHVr4OqVmluJBZgrQcHQpKDLBYRRjNVpjNNojuHWxYRf/uIfjomVF4clofBPo3rJI9ERERERG1Hm6dznzddddhxowZ+Prrr5GTk4OtW7dKwVrv3r1xzz33SNdu3LgRP//8s3R+5syZuPbaa93S74YYMWIEpk6ditWrV8Nms+Gtt97Cd999hz59+sBkMmH//v0oLS2Vrn/ttdcQGhpabVtBQUF48cUX8cILL0AURaxbtw47d+7EoEGD4OHhgSNHjiAjI0O6/s4778SYMWOqbUsQBLz++uu4//77odVqcfr0aYwbNw4DBw5EUFAQzp8/jxMnTkjXd+3aFfPmzavxdT7++OPYvXs3EhMTUVxcjBkzZuDaa69Fly5dkJeXh7/++gsWi726r0ajwbvvvtuqRly5m9aog9Fqcnc3Wi0BAmSCAEGQVXwWIIO9OrF0HBXHK6oW2/ddr5fJBPt0YwaBVA82mwizxQqT2QaTxQqT2b5tttjQwnLBeukS7ocZE3qiV5cgd3eFiIiIiIiakVtDRAB47rnnEBsbi++++w4XLlxAQEAAxo0bhyeffNIlXIqJiYEoivDz88OTTz6J++67z429bpg333wTHh4eWLVqFURRREZGhkvYBwCenp54+eWXXaYZV2fq1KmwWq1YtGgRysvLUVpais2bN1e57u6778Yrr7xSa1vdunXDl19+iaeffhoXL16E2Wx2KW7j0LdvX3zyySdVplg78/b2xooVKzB37lypqMuJEydcgkjAvh7mxx9/zKrMl6nEqHV3F5pc3UGf837NQV9117NKLDUGmyjCZrN/WG2Xtm2i677FZoO5FYeFlYW088KD47tj6HVhkMn4vURERERE1Na4PUQE7IFYdWvsORs8eDD+85//YMiQIa2mKnNlcrkcCxcuxKRJk/Dzzz/j77//Rl5eHgRBQHh4OIYMGYL777+/yjqQNbnzzjsxaNAg/Pjjj9i1axcuXrwIk8mEoKAg9O3bF3fffXe16yBWp3fv3vj999+xcuVKbN26FcnJydDpdPD19UXPnj0xceJE3HrrrfUaNdi+fXt8//332LBhA9atW4dTp06hqKgInp6e6NKlC2666Sbcc889LKbSANYa1r9s6SoXDFHI7ftyQc6gj5qdKFYf+lkrjlUJB20irE7HW9q04qbm46XEtDFdMX5wNJSK6ouCERERERHR1a9FhIj1ERYWhrCwMHd3QxIeHo6EhIQG3du3b1/07du30foxf/58zJ8//4rb8vLywsyZMzFz5swrbksQBNx666249dZbr7gtshNbcHKhkDmqC8urVBpWyBQMBqlRiaI9yHMO91yCv+rCQem4Da00i292UaE+GNE3HOMGd4KGBVOIiIiIiNq8VhEipqWlISEhAV5eXujVqxd8fHzc3SWiZicIAryUns1eVEWAYyShAgq53CkwvBQUMiSkxmazidAbzCg3WmCy2KqMFmzBmXqrE+jniYgQH0SG+iIixAdRoT6ICPFhpWUiIiIiInLRIkLEwsJC/Pzzz1CpVJg+fbp03GQy4cUXX8T69eulY2q1GrNnz8bs2bPd0FMi9/JT+aLMVA6xEVdYEyBIIwhdRhRWbMsZEl6Wjz/+GEuXLgUAzJo1C88++yxEUcTWrVvx+++/49SpU8jLy4NSqUSHDh0wZMgQ3H777YiNja22vQMHDkhVzwHgjz/+QHh4eL37EBYWhq1bt9Z6vc1mw59//olNmzbh+PHjyMnJgcVigb+/P+Li4jB8+HBMnToVvr6+l/OlqJFWq8Wvv/6KXbt24fz58ygoKIBCoUBgYCCu6XUdBg0Zgd79h8AeYddPZkYa9u3+E6dOHEVGeiq02lIYyvXw8vKGj68fusR1Q59+AzHyxlug9PCosZ0F8x7DyeOHAQAL/7UEffoPxO9rf8HG39cgKzMDXt7eCO0Qhr79b8B9D8260i9Fswr085SCwshQH0SGMCwkIiIiIqL6c3uIuG/fPjzxxBMoLy9H3759XULEd955B+vWrXO5Xq/XY8mSJSgtLW2UKbxErYmnUoUg73bILSuo9z0CBCjk8kqjBxVQVgSHcoEhYVO6ePEi5s+fj/j4eJfjBoMBWq0WiYmJ+PbbbzF9+nTMnz+/2f8s4uPj8corryApKanKuby8POTl5WHv3r347LPPsHDhQtxyyy1X9Lwff/wRS5YsQXFxsctxo9GIsrIypKam4vd1v6FzbFc8Pf8VRMfUXnxJp9Pi0w/fwe6d22CrZp6yVlsKrbYUFzPTsevPrfju68/w7POvo1fvfvXq79IPFmPLxrXSfkmxCSXFRfD19avX/e7gCAsjK0YURob6ICKYYSEREREREV0Zt4aIJSUleOqpp6DX26dnXrx4UTpXUFCAlStXSoUWJk2aBH9/f/z2228oKCjAihUrMGHCBHTr1s1d3SdyCx+VBiqFCsXlJTBaTbCJNsgEmTR60GW6sVzOkNCNCgoKMH36dKSmpgIANBoNYmNjIQgCLly4IAVpVqsVy5cvh0ajwZw5c5qtfxs2bMA///lPmM1m6ZinpydiY2Ph4eGBlJQUFBTYA+uioiI89dRTWLx4MSZPntyg5y1cuBA//PCDy7H2gUHo0DEcFosFGemp0GlLAQBJ5xIw/x+z8OJr76B33+urba+0pAQL5s1GWmqydEyhVCI8Igq+fv6wWa3Iy81GTnaWdL6wIB+vPv8PfPzFfxEeEVVrf7ds+g17d22v9txNN7t/vddAfzUiHSGh0+hCL0+GhURERERE1PjcGiKuWrUKWq0WgiDg3nvvxeOPPy6d27RpEywWCwRBwMyZM/Hss88CAB544AFMmDABer0ev/zyC1566SV3dZ+oyZlLtbCZTdWe84MAoLpK5ZaKD8Ba8dFWyJQeUPq2nDVTV69eDQAICAjAggULcNttt0GhsP/YNZvNWL16NRYtWgSj0QgA+OKLL3DffffBz6/pR7klJiZiwYIFUoDo5eWFefPm4c4774Snp6d03aZNm/DGG28gPz8foijitddeQ//+/eucUu1MFEUsX/6VS4DYtVtPPDLnaXTvca10zGq1Yv/eHfjy0yXIz8tFuV6PxW+8gA8//QYhoR2rtPvVFx9JAaIgCLj7/pmYcse98PJ2rfyemZGGr7/4GH/t2wUAMJtN+OmHFZj33Ku19tsRIA4eOhL3PvQoQjuEIetiOv7cuhEDBw2r9+u/UjJBgJenAqP6hyOonR8iGBYSEREREZEbuDVE3L17NwCgf//+ePnll13O/fHHH9L2tGnTpO2OHTvijjvuwDfffIMDBw40T0eJmpk+IwMJ77wHfWqau7vS6nhFRaLrP5+B12WEXE3J19cXK1euRHR0tMtxpVKJadOmQRRFvPqqPcwqLy/Hrl27MGHChCbv1zvvvCOFlyqVCt988w169epV5bqxY8eiY8eOuP/++2E0GlFeXo6vv/66ys/sykRRhMFkha7cjOTUdHzwwfvSuesHDsGLC9+RAlUHuVyOocNvQrfu1+Cf/5iN3Jws6LSl+PKzD/Hia2+7XFtYkI8/tvwu7U++4x7c99Cj1fYlLDwSL7z2NuY9MQPnE88CAOIP7qu1/w79rh+EBa+8BZlMBgDoFBOLTrOrX7/ySinkAjyUcngo5VApZLBa5MgyyODprwYADOofBS8vryZ5NhERERERUV1k7nx4cnIyBEGossaWwWBAfHw8BEFAVFQUIiIiXM536WJfIys7O7vZ+krUnBggNpw+NQ0J77zn7m5Ipk+fXiVAdDZ16lSXkX8JCQlN3qe0tDTs2bNH2n/ssceqDRAdevXqhVtvvTR9d8uWLTVea7HYkFuoR/LFUmTk6lCsNeKXVT/AYrGPjtX4+GLec69WCRCdBQaFYPbj86T9v/buRGaG6/fDsSN/S9P0FQoF7rx7eo3tAYBMJsPgoaOk/dKSYphN1Y/ydXb3/TOlALGxKOX2kYX+PiqEBKgREaxBTJgvOnX0Q1iQBkH+avhqVFB5cCkCIiIiIiJqOdw6EtGxHlhQUJDL8QMHDsBkMkEQBAwePLjKfY433OXl5U3eR6LmZjUYGCBeIX1qGqwGA+RO4Zy73HzzzbWe9/DwQGRkJBITEwEApaWlTd6nP//8E6Jor/CtUChcRnvXZMaMGYiJiUGnTp0QHR0NURQhCAJsNhEW66WCJnqjBSVlruHcPqd1BUfeeAt86lGU5PobhsLHxxdabSlEUUT8wX0IC4+Uzo8aPQ7DRo5BTvZFaEtL4FuPKeD+Ae1c9o0mY62Vmj091Yjr1rPOdp0JAiCXCZDJBMgEAXKZAKVSDpVSBg+FHEqlDPJGDiWJiIiIiIiag1tDRLVaDZ1OJxVWcXAeIVNdiJiZmQnAPk2Q6Goj9/SEV1Qkg8Qr4BUV2SICRKVSic6dO9d5nY/PpXUcnYucNJXjx49L2507d0a7du1qudouLi4OcXFxAACL1Qat3gSd3gy90QKTuWpVZIfcnGzk5eVI+117XFOvPspkMnSO7Yajhw8CAM6cPI5JU+92uUahULgEizUpKSlGwpmT2L93p8txm7Vqv53H/cV0joWPl8oeCMqES+GgTIBcEKoerzhGRERERER0NXJriNi5c2ccO3YMR44cwZQpUwDY19Havt0+akWpVFYJEW02G9auXQtBEOr15pyoNer6z2c4pbmBHGsitgS+vr71mgorl8ulbccIwaaUkZEhbcfExNTrHrPFhrJyM8rKzSg3WlDfXmZdzHDZf++tV/HeW7UXNKlOfn5ureetVivSU5ORnpaC3OyLyMm5iOyLmUhLS0F+XvX3BrfzRPt23i7hoKfq0p9FaEggwoI11d5LRERERETU1rg1RBwxYgSOHj2KNWvW4IYbbsDIkSPx2WefITMzE4IgYPjw4S6LyJtMJrzyyivSWorDhjVfdUyi5uQVHo4+H31QY3Vmq9WGYp0JZrMVVpt9WqlCDshlMshkAhRyGeRyAXKZzCUgudq1tOrMni1gNGR1nKdMO4+CrMxkthdGKSs3w2BqWJ1vrbakQfdVVqYrhZ+3B2Ry11GABfl5WPH1cmzauAFFRUW1tqFQKKS1GQHA21NZpcKx8xqEtX1tiIiIiIiI2hq3hojTpk3DihUrUFpaimeecR05JAgCHnnkEWl/xYoV+OSTT6DT6QAA/v7+9VrHi6g1qy4Q0+lNyCnUw6ZUAk75h6XyhbaKjwoymQCFTIBcLoNCXvFZJtjDRmnbHjqymMPVraY/X1EUYXQEh3ozTJaapynXl9Xi+n/mtdf1hVJZ8zqEl/poD8XtYbiAwMBABLdzrUy8Y8cOPP3001WWxHAICQlBXFwcevXqhYEDByItLQ0vvfRSvfve2AVViIiIiIiIWjO3hojt2rXDJ598gieeeEIqsgLY3+DOnz8fvXv3lo7p9XpotVoA9tEhS5cuhV89FtInupoYTVZ7gNiAGa82mwiTTQTqCIYEQBrF6Agb5XKnAFJ26ZhMYODY3Ooz3dloNNZ63nk9Wa1WC73BPtpQV26Gxdq406k1Gte1a2c99jRiusRVe61CLkCjVsJbrYRapaj1/62zZ8/iySeflF6rTCbD6NGjMWzYMHTv3h0xMTHw9vZ2uSctjcsDEBERERERNZRbQ0QA6N+/PzZu3Ih169bhwoULCAgIwNixY9G1a1eX6zp37gx/f3+MHTsWjz32GEJCQtzUYyL3KdYaGhQgXg4RgMUqwmK1wlhHjQ9BgH3qdKUp1Aq5IB13Dhzp8lUO0iyWKmNOqygsLKz1vPPPz4RzScjMK6tXXzatX4PA4BCEhHZEaIcwKJXKOu9pHxjksp+akuQSInooZPD2UkKjVkKllNc7lF6yZIkUICqVSixbtgyDBg2q9R7nX1YRERERERHR5XF7iAgAAQEBePDBB2u95qabbsItt9zSTD0ianlEUUSZoe4AqTmJor3ghj1rrH3NPHnF1GmFY4qqXGavZivYp1oLgj0ws49uhDTKUSazH3c+1pZ4eLhO/XUs6VCbxMTEKsdEETCYbTCYbIiK6Q5gKwAgLeUCdNpSaHxqr3afdTEDS5cslvYXv/8ZrunVp86+REbHQOPjC53Wvg7jwf17MG78bfBW24NDD6W8xnvffvttCIKAsLAwdOvWDf369QNgD1J3794tXXfzzTfXGSAC9tGLzpqjiA0REREREdHVokWEiPWhULSarhI1GVsrDj2sNhFWmwgTrmydvUtholPQWBFACrKqxxwBZeV7pG2Z07XCpTCzsYiiCFEERFR8duw7tgFYbZe+JmaLFaVlRum8oFC7tHf42CkEh3V2asfehmM/LTUFp06dcmrPhpQsrcsI1r4DBgGffwTAHsht3bweU+64t9bXsXP7FmlbrfZC12496/X6ZTIZrh84GH9u2wQA2LfnT5jL8tAupPaq0PHx8fjqq6+k/ccee0wKEQsLC11GZAYFBVW5v7L09HRs377d5Vh9RnUSERERERGRHZM5olbCXoFZBnMjFLtozUQRsEphatOEqjUGlRWBpKMfLqFgRUhYpDVI7ZgtNpzPqLs6sdF06c+03GhFTmG5tK/StIeXlzf0evuU459/WoWBQ0dDLq/649toNOD9dxfBZnP9f6TyFPjIqBj06TcQRw4dAAD88M0y9O1/A6Kiqw/2si5mYM3P30v7N948HkqP2oujCALgpVJA46XEE3NmSyGi1WrFU089he+++w7+/v7V3ltaWupSAMXDwwN33XWXtO/n5we5XA6r1T76df/+/bBYLDX+sqmoqAjz5s2rUoDFbK5jvj4RERERERFJmiVEnDBhAgB7CPLbb79VOd5Qldsjutr5enugoMRQ94V0Ra4kqLQ1csYrlyswcPBw/LltIwDgXMJpvLvoFcx+4hkEtGsvXXfi2GF8+dkSJJ1LcAnYavLonKfx9OMzYDCUo7xcj+fn/R8eeewfGHHjzS4B5d8H9uKTJYtRVmafRu3r64e7759ZY7tKhQyh7b3g7amETGZPXK/p2QMzZszA119/DcA+3fqOO+7AggULMGrUKMjll6Y079ixA++88w6Sk5Mv9fXRR9GxY0dpX6VSoX///jhwwB6CJiQkYMGCBXjuuedcRiXq9Xps3rwZS5YsQXZ2dpW+1lTVmYiIiIiIiKpqlhDx3Llz1U4PrOl4fYii2ObWRiPy16hQWmZq86MR25p7H3wEf+3difJye+i1Z9cfOLB/N8Ijo+Dl5Y2si5koLMgDACiUSvzf48+4rF9YnYioTpi34DW8u+hlmM0mlJaW4P23F+LzT95HZFQnKBQKZKSnoqiwQLpHpVLhuZf/hYCAS+GlvajOpZ/FapUCPl5VRyk+++yzyMzMxJYt9mnR6enpePzxx+Hv749OnToBAFJTU6sUhRk7diwef/zxKu09/fTTuP/++6UpyevWrcOmTZsQGRmJ9u3bo6ioCOnp6TAYLoXuYWFhyMzMlPbz8vIQF1d9pWgiIiIiIiJyJWuuB9W0gL19KuDlfxC1RTKZgIhgDbxUXImgLenQMRyvv/0RgoJDpWNmswnJSedw6sRRKUAMCgrBwn8tQa8+/evV7uChI/Gvf3+C8Igo6ViZToszp47jxLHDLgFix7AI/Ou9T3Fdn/5QKmTw91EhPFiDTh19ay2O4qBQKPDRRx9h3rx58Pb2lo4XFxfjyJEjOHLkiEuAqFKpMHfuXHzwwQeQyar+VdWnTx+8//77Lm2ZzWYkJSXh4MGDOHfunBQgCoKAqVOnYu3atS4jFePj4+v1dSIiIiIiIqJmGolYuSJmXceJqGZyuQwdg7xhstigLzfDbLHBarPBYhVhtdpgsdnX5qOrS/ce1+Kzr1dh26b1+GvfTqSmXEBpaQl8ff3QMSwCQ4bfhJvGjIOXtwYXM9Pr327PXvjkyx+xd9d2HNi/G4lnT6G4yF64xM/fH13iumPIsFEYPeYW+PmopYrKDRkJLggCZs+ejbvuugtr167F3r17cf78eRQVFdmf5+eH2NhYDBo0CJMnT0ZISEit7d1yyy3o3bs3Vq1aGfYcHwAAaqNJREFUhb179yI5ORk6nQ4qlQp+fn6IiYlBr169MGHCBHTu3BkAcOONN2LVqlUAgDVr1mDOnDlQKpWX/VqIiIiIiIjaGkHksD4ilJeX4/Tp0y7HevToAbVaXcMdtdPr9UhNTZX2o6Ki4OXldUV9rC9RFGETRVitIixWm70qstU1ZLz0md/+VDNPDzk0aiW8K4JDal7u/DlCzUen0yEhIUHa79q1KzQajRt7REQO/P4kapn4vdk8Gvs9Ml0dOCeS6CojCALkggC5DHUGP6IouoaMziMaK/atVhEWm63RC4ZQyyPAvqaht5cSGk8lFIpmW/GCiIiIiIiIWjiGiERtmCDYi2Io5DKo6rjWZnMNGa22ipGOFSGjldOpWyVBALw9FfBWe8DbUwG5nMEhERERERERVdUiQsTdu3djw4YNSExMhFarhdVqrdd9giBg27ZtTdw7IgLsRV1kMjmUdfzUEEWxInCsOWR0hJA20VFcqXleA9nJZIC3pxIatRJenkrIZKx0T0RERERERLVze4i4YMECrF271uVYfZdpbMjC/kTUtARBgFwuQC6vezq1g2MdR1G0j3gUxUrHKqqy22zVHb8UXLpcW6mN1hpUCoL9ayoT7NONBUGQjgkCIKDSviDYr5NdOgcAFosFMgFQyAX4eKuhUHCNQyIiIiIiIqo/t4aIq1atwq+//gpBECCKImQyGfz8/LhQJ1Eb41jHEQDQRNlW1aDSdSRkXUGl4x5HGOka3NUQ5lV7vOoxWQ3XOr42V8pqtcJguLSoJX//QkRERERERJfLrSHi//73PwCATCbDc889hzvuuIOVJ4moSTRHUElERERERER0tXJriHj+/HkIgoDbb78dDz74oDu7QkRERERERERERDVwaxlOx9qHAwcOdGc3iIiIiIiIiIiIqBZuDRGjo6MBAGVlZe7sBhEREREREREREdXCrSHi+PHjIYoitmzZ4s5uEBERERERERERUS3cGiI++OCD6NKlC/bu3YsvvvjCnV0hIiIiIiIiIiKiGri1sIpKpcKyZcswe/ZsfPDBB9i4cSNuuukmREREQK1W16uNm2++uYl7SURERERERERE1La5NUQEAIPBAD8/P4iiiLNnz+Ls2bP1vlcQBJw+fboJe0dERERERERERERuDRGzsrLwwAMPoKCgAIIgSNWaiYiIiIiIiIiIqOVwa4i4bNky5Ofn2zuiUGD48OEIDw+Hr6+vO7tFRERERERERERETtwaIu7evRsAEBISgh9//BEdO3Z0Z3eIiIiIiIiIiIioGm6tzpybmwtBEPDAAw8wQCQiIiIiIiIiImqh3Boi+vj4AABCQ0Pd2Q0iIiIiIiIiIiKqhVtDxGuuuQYAcO7cOXd2g4iIiIiIiIiIiGrh1hDx3nvvhSiKWLlyJXJyctzZFSIiIiIiIiIiIqqBW0PE4cOH46677kJJSQkefPBB7Ny5E6IourNLREREREREREREVIlbqzOvWrUKPXr0QGRkJFJTU/F///d/0Gg0iI6Ohp+fHxSK2rsnCAI+/fTTZuotERERERERERFR2+TWEPHVV1+FIAgA7IGgKIrQarU4efKkO7tFRERERERERERETtwaIgKodvpyfac0OwJIIiIiIiIiIiIiajpuDRH/+OMPdz6eiIiIiIiIiIiI6sGtIWJYWJg7H09ERFfAZDJh4MCB0Ov1GD58OJYtW9Ysz01ISMDRo0cxbdq0as/feOONyMzMBAA88cQTmDt3brP0i4iIiIiI6Grm1urMRETUev3999/Q6/UAgJEjRzb580pKSvDGG29gypQpOHLkSJM/j4iIiIiIiC5x+5qIzmw2G06dOoXjx4+jqKgIOp0OCxYsAACcO3cOoigiLi7Ozb0kIiIA2LFjh7Q9YsSIJn/e008/jb179zb5c4iIiIiIiKiqFhMifvvtt/jqq6+Qk5PjctwRIm7YsAGfffYZhg0bhtdeew0dO3Z0RzeJiKjCzp07AQBdunRBeHh4kz/PbDY3+TOIiIiIiIioem6fzmw0GvHwww/jrbfeQk5ODkRRlD6cZWRkQBRF7N69G7fffjvOnTvnph4TEVFycjJSU1MBNM8oRCIiIiIiInIvt4eICxYswN69eyGKItq1a4f7778f99xzT5XrBgwYgPbt20MURRQVFeGJJ56AyWRyQ4+JiMgxChFonvUQiYiIiIiIyL3cGiL+9ddf2LhxIwRBwJgxY7B582a89NJLGDJkSJVr77zzTmzbtk16s5qWlob//e9/zdxjIiICLq2H6OPjg759+7q3M0RERERERNTk3LomoiME7NixI9577z14eHjUer1arcbSpUsxduxYZGZmYsuWLdWOWiQicpePP/4YS5cuBQDMmjULzz77LHbt2oUvvvgCp06dgkKhQGhoKPr3748nnngC7du3d7k/Pj4emzZtwoEDB5Cbm4uysjL4+/sjKioKQ4YMwe23346QkJDL6sPTTz8NURSxfft2bNmyBWfPnkVeXh6USiU6dOggtRsbG1uv16jT6RAfHw8AGDp0KBSK2v8qOXToENavX49Dhw4hJycHZWVl8PPzQ8eOHTFo0CBMmDChxmcfOHAADz74YJXja9aswZo1awAAYWFh2L59e619KC0txapVq7B9+3akpqaitLQUgYGBiIyMxLhx4zBhwgRoNJr6vHwiIiIiIqI2ya0h4qFDhyAIAqZMmVJngOigUChwxx13YMmSJUhISGjiHhIRXZlff/0VCxYscFnntbS0FLm5uXj++eelY9nZ2XjxxRexZ8+eKm3k5eUhLy8P8fHx+Oyzz/DII4/giSeegExWv8HkFy9exPz583HkyBGX4waDAVqtFomJifj2228xffp0zJ8/H4Ig1Nre3r17pSIntU1lTktLw4svvoiDBw9WOZefn4/8/HwcP34cy5Ytw2233YZXX321SYK8jRs34rXXXkNxcbHL8aysLGRlZeHAgQNYtmwZ3n//ffTu3bvRn09ERERERHQ1cGuIWFBQAACIiYm5rPsiIyMB2N+IExG1VOfPn8c333xTpVAUAIwfP1765cnZs2fxyCOPIC8vTzqvVCoRFxcHHx8f5OfnIykpCaIowmg04pNPPsGZM2fw8ccf1zkKsKCgADNnzkRaWhoAQKPRIDY2FoIg4MKFC1KwZrVasXz5cmg0GsyZM6fWNh1TmWUyGYYPH17tNcePH8f06dNRVlYmHVMoFIiNjYWvry/y8vJw4cIFAIDNZsNvv/2GkydP4quvvkKHDh2ke/z8/DB06FAAwIkTJ1BSUgIACA4ORlxcHAAgMDCwxr5u3rwZn3zyifRnEBISgsjISBgMBpw9e1YKQzMzMzFr1iysW7cOoaGhtb5+IiIiIiKitsitIaJKpYLJZLrsAimO8NDb27spukXUYujLTLBYrO7uRquhUMjh5V2/Uc3N4c8//wQAxMXF4YUXXsB1112HgoICbN68WQrGSkpKMGfOHClAVCqVePzxx/HAAw+4jMrLzs7Ghx9+iNWrVwMAtm/fjnfffddlNGN1HNf7+/tj3rx5GDt2LDQaDeRyOcxmM1avXo1FixbBaDQCAL744gvcd9998PPzq7Y9URSxe/duAMC1116Ldu3aVbkmIyMDs2bNkgJEuVyORx55BDNnzoS/v7/Lde+//z5+//13AMCFCxfw+OOP48cff4RKpQIAdOvWDcuXLwcAPPDAA9KoxiFDhmDx4sW1vnYAOHfuHACgZ8+eeO655zBw4EDpXHFxMf71r39h7dq1AOx/t7z//vt455136myXiIiIiIiorXFriBgWFoazZ8/i0KFDmDx5cr3vc6x9FRYW1kQ9I3Kv/Bwdfvn2EHKzte7uSqsTHOqDOx7sh8CQlrG+XVBQEL799lsEBAQAALy8vPDII49I59977z1kZmYCADw8PLBs2TLccMMNVdoJDQ3FW2+9hYiICHz44YcAgBUrVmDKlCno1q1brX3w9fXFihUrpFHcDkqlEtOmTYMoinj11VcBAOXl5di1axcmTJhQbVsnT56UAs8RI0ZUe80HH3wgjXAUBAFLlizBzTffXOW68PBwvP/++4iMjMSnn34KADh16hS++uorPPbYY7W+pssxYMAALFu2DJ6eni7H/f39sXjxYqSkpODYsWMA7H+/iKJY55RuIiIiIiKitsat1ZmHDh0KURSxbt06pKSk1OuerVu3YteuXRAEAYMHD27aDhK5CQPEhsvN1uKX7w65uxuS+++/XwoQKysoKMCvv/4q7T/66KPVBojOHnvsMfTs2VPad4zSq81DDz1UJUB0NnXqVJeArbb1Znfu3CltV7ceYnp6ujSyEADuu+++agNEZ0899RT69+8v7a9YsUIaGXmlZDIZFi1aVCVAdD4/bdo0aV+r1SIrK6tRnk1ERERERHQ1cWuIeP/990OtVsNoNGLmzJnSSJDqmEwmLF++HM888wwA+9parMxMVyOT0cIA8QrlZmlhMlrc3Q0AqDUU/PPPP6WwTCaT4d57762zPUEQMHHiRGl/586d1a656Gz06NG1nvfw8HAJGWtbb9axHmJQUBB69OhR5fyuXbuk/giCgBkzZtT6bMd1s2bNkvaLi4tx+PDhOu+rj+7du9caoDqucZafn98ozyYiIiIiIrqauHU6c0hICF544QW8/PLLyMrKwt13342YmBiXESMffPABkpOTceDAAZSWlkrTzObOncvpzHRV8lApEBzqwyDxCgR38IGHyq0/3gDYw7HqgjaHQ4cujZiMiIhA+/bt69XutddeK22XlJQgKSkJXbp0qfZapVKJzp0717n2rI+Pj7TtKDZSWUFBAU6ePAnAPpW5uim/8fHx0nZ0dDTCw8Nrfa7DDTfcAKVSKT07Pj4egwYNqte9talrqjfg+toBNNooSCIiIiIioquJ299l33nnnTCbzXjrrbdgNpulap2ON6dffPGFdK0jQHz00Ufx6KOPuqW/RM3hjgf74ZfvDiE3i0Hi5Qru4IM7Hujn7m4AsBd/clRgro6jYjIApKamomvXrg16TnZ2do0hoq+vL2Syugedy+VyabumkY3Oox6rm8oMADk5OdK2o3pyfXh6eiIiIkL6O8C5nStRU4EYZ5XDUJvN1ijPJiIiIiIiupq4PUQEgHvvvRcDBw7EsmXLsGXLFuj1+irXKBQKDB06FLNmzUK/fi0jICBqKoEhGvzfsyNYnfkytbTqzJVHuFVWUlLSKM+prZ2a1gJsCMdUZqVSWeMoQUdBFcAeYF4O58DPuZ0r4eXl1SjtEBERERERtXUtIkQEgM6dO2Px4sX417/+hcTERGRlZUGn00GtVqN9+/bo0aMHVCqVu7tJ1KxaUiBGl6+uEYDO04ZDQ0NrHE1YF39//wbddznMZjP27t0LALj++uuh0VRf/fpKRvFZLJfWsazP6EkiIiIiIiJqPi0mRHSQyWTo1q1bvdaxqmzv3r145ZVXIAgCtm3b1gS9IyJqPM4j73r27In//Oc/buxN7eLj46HT6QDY10OsiXOgWVuBluo4X19TSElERERERETucVUN9SgvL0dmZiYyMzPd3RUiojqFhIRI2+fOnXNjT+q2c+dOabum9RABoEOHDtJ2QkJCvdsvKytDenq6tF/fgixERERERETUPK6qEJGIqDVxXt81LS0NSUlJ9brv8OHDePnll/Hpp5/it99+a7S1FWvjWA8xOjoa0dHRNV7n/JpSU1NdgsHa7N+/32UqdM+ePRvUTyIiIiIiImoaDBGJiNxk5MiRLpWBP/vss3rd9+GHH+Knn37CkiVL8PLLL0OhaNqVKdLS0pCcnAyg9qnMjvOO9QxFUcSKFSvqbF8URSxfvlza9/b2xoABA6pcV7mKMhERERERETUfhohERG4SHR2N0aNHS/u//fYbfvrpp1rv+eGHH/DXX39J+5MnT4a3t3eT9RG4NAoRqH0qMwBERETg5ptvlva///57bNmypdZ7PvzwQxw+fFjanzZtGtRqdZXrnItrGY3GOnpNREREREREjYkhIhGRGy1YsMClGMnLL7+M1157DTk5OS7XFRQUYPHixXj99delY+3bt8fcuXObvI+O9RC9vLzQv3//Oq9/7rnnEBAQAMA+yvAf//gH3n//fRQXF7tcl5mZiWeeeQaffvqpdCwyMhKPP/54te06f52OHTsGrVZ7ma+EiIiIiIiIGqrFVWcmImpLwsPD8dFHH2HOnDlS9eMff/wRK1euRJcuXdCuXTvk5eUhPT0dZrNZuk+j0eDjjz9GYGBgk/ZPr9fj4MGDAIAhQ4bAw8Ojzns6duyIpUuX4rHHHkNpaSmsVis+//xzLF++HLGxsfD19UV+fn6VNSDDwsKwbNmyGiszx8XFSduZmZkYP348OnfuDJPJhO+//57TnYmIiIiIiJoQRyISEbnZwIED8dNPP6FPnz7SMVEUce7cORw4cAAXLlxwCRCvueYa/Pjjjy5FTJrKvn37YDKZANS9HqKz/v3746effkLfvn2lYxaLBWfOnMGBAwdcAkRBEDBx4kT88ssvtRZtmTZtGjp27Cjt5+bmYv/+/Th06BAyMjIu41URERERERHR5eJIRCKiFqBz585YuXIl9u/fj61btyI+Ph65ubnQarVQqVQIDQ1Fr169MG7cOAwbNkwqXtLUHFOZAWD48OGXdW+nTp3w448/Yv/+/di8eTMOHTokvSZvb2906tQJAwcOxOTJk9G5c+c62/P19cVPP/2E//znP9i1axfy8vIAAMHBwcjPz0dERMTlvTgiIiIiIiKqN0EURdHdnWgs27ZtwxNPPAFBEHDmzBl3d4dakfLycpw+fdrlWI8ePaot7lAfer0eqamp0n5UVBS8vLyuqI9EDWW1WmEwGKR9T09PyOVyN/aI6oM/R9oGnU6HhIQEab9r1641TuknoubF70+ilonfm82jsd8j09WB05mJiIiIiIiIiIioVgwRiYiIiIiIiIiIqFYMEYmIiIiIiIiIiKhWLKxCRERERERERHQZRFGEaDbCZtDBWq6DzVAGm8H+2b5fsW3QwVbuOKeDzWyEwqc9PIKj4D/0dij9gt39UojqjSEiEREREREREbVJNrMRtnKnwK8iDHQOAl2DQUdQWAbYLA16plVbCOPFc9Cd3IWgW+dAc82wRn5VRE2DISIRERERERERtVo2i8lptJ8jDNTBVq6D1WmEoH3/0rbNUAbRanZbv0WLCXm//wfKoAioQqLd1g+i+mKISERERERERNQGiVYLRIsJos0K0WoFbFaIohWw2SDarIDVav9ss0IUbRCtFvu2zVbx2er02X6PaLNcut/lmuqOVdxntdjbFK1Vn+s4XnHMajHDR18GwWaBYDYgd5sJsJjc/aVsMNFiQvH+NQiZ/LS7u0JUJ4aIRERERERERK2QKIoQLaaq6/EZyypG21WMyjOWSSP1rBXTc22GMohmg7tfQoNcbUFGefJxiKINgsDat9SyXVXfez179sRbb73l7m4QERERERER1YsoihBN5ZUKcOhd1ueT1uVz2nbsw9qwdfmo5RBNBgCCu7tBVCe3hIglJSU4fvw4tFotAgICcM0118DHx6fe92dlZeHAgQMAgMmTJ0vHO3TogClTpjR2d4mIiIiIiIhqJNqssBn0lUb6ORXpqHKszGmtPj0g2tz9EsiNFP7BEASGiNTyNWuImJOTg8WLF2PLli2w2S79kJTL5Rg1ahSeeuopdOnSpc52Tp06hQULFkAmk7mEiERERERERESNRbRaYC0rhkVbCKuuCBZtEaw65+0iWHSFsOlL3d1VasV8eo1ydxeI6qXZQsTExETMnDkTBQUFEEXR5ZzFYsG2bduwY8cOPPvss3jooYfq1WbldoiIiIiIiIjqwnCQWgplUAT8rr/V3d0gqpdmCRFNJhMef/xx5OfnAwAiIiIwevRo+Pn54dy5c9i+fTvKy8thNpuxePFiJCQkYNGiRRzOS0RERERERPXmEg5qi2DRVQ4HC2HRFTEcpBbBq+tABN/2OASF0t1dIaqXZgkRf/75Z6Snp0MQBEyePBlvvPEGFIpLjy4qKsLbb7+NX3/9FQCwZs0aGI1G/Pvf/2aQSERERERE1MaJVjOsumJ7KMhwkFo8ATJP74oPDeRqjdO2NxT+IVB36gWlf4i7O0p0WZolRNy2bRsAoEuXLli0aBFkMtey5QEBAVi8eDH69u2LhQsXwmazYcOGDfD09MSiRYuao4tEjary/+NWq9VNPSGi1qryzw25XO6mnhARETUtm7Ec5uIcWEryYCktsAeCFVOKGQ6SO8lUXpB5aiBTayCvCAFlnt4V+5e2ZZ7e9n21xn6NSg1BkNX9AKJWpllCxISEBGkUYuVwxdldd90FHx8fPPvss7DZbFi9ejUCAgLw7LPPNkc3iRqN80hbADAYDJdVgZyIyGAwuOwzRCQiotbKZjbaA8LiXJiLc2EpyYGlOE/atpXr3N1FuooJHuqKkYAaaXSgc+AnrzYI9IZM5QVBxn9/ETlrlhCxtNT+W6OwsLA6rx03bhyMRiOef/55iKKI5cuXIyQkBA888EBTd5Oo0SgUCqhUKhiNRgCAVqtFUFCQm3tFRK2JVquVtlUqVZVfThAREbUUotUMS0k+zCW5sBTbP5y3rWXF7u4iuYsgswdxMjkEecVnQSbtS+dkMkCmqNi333Pp3KVjkMlhsYko1eoAQQZRoUL7DuHw9G0HudoxUlDjtO3NIJCoETXLOxJvb2+Ulpa6vCGqzeTJk5Gbm4v3338foihi8eLFCAoKwtixY5u4p0SNx8fHRwoRjUYjysrK4O3t7eZeEVFrUFZWJv38AMCRzERE5FaizQqLtgCW4jxYinMqRhBWbJfkwaotBESbu7tJ1RA8PC+NtnNao88+6s770tRbmQKQyyEIToFdRcjnGuY5Ar+azrkGfk1R40Cn0yE7IUHa9+7aFRqNptGfQ0RVNUuIGBERgVOnTmHPnj24884763XPo48+ivT0dPz888+wWq345z//CV9fXwwePLiJe0vUOHx9faWK5ACQnp6OiIgIBolEVKuysjKkp6e7HPP19XVTb4iIqC0QRZu9aElJxXTjyqMJS/MBG9f4do9KBTo8vVym5bpMx61Yv08ahafygiDnTAYiajzN8hNlyJAhOHnyJLZu3Yrdu3dj2LBh9brvtddew8WLF7F3716YTCbMmTMHb731FpRKlj+nlk+lUsHHx0cagSuKItLS0qTjnp6eXOOMmoXVaoXJZJL2bTYb/99rYaxWKwwGA7RarcsIRMA+ClGlUrmpZ0REdDUQRRG2cm1FQGgvYGIuzrEHhCW5sBTnQbSa3d3Nq5dMURHsOcI9b8jUFevvqbxc1+OrFA4KLNBBRC1Is4SI9957L7755hsYjUbMmTMHDz/8MCZPnozo6Oha75PL5Vi6dClmzJiBo0ePwmAwYN68eejZs2dzdJvoioWFhSEzM9NlKr/RaKwSEhA1JVEUIYqitC8IQpNMLaHG5+PjU6/1hImIiAD73/mmrCQYMhNgLsyWphtbSnIhmgx1N0D1IihVkGsCoNAEQO7T7tK2t5/TVOFLlXsFhQf/7UVEV4VmCRFDQkLwyiuv4MUXX4TFYsHnn3+Ozz//HF5eXjh06FCt96rVaixfvhz/93//h7///hsAcOrUqeboNtEVEwSh2iCRqDmJogiLxSLtKxQK/kO2FXAEiPyzIiKiupgLs6A9sRO6kzthKc51d3darcrhoEITAHmlbYVPO/x/e3ceH1V18H/8O1v2nSQEAWUTlEUEFESxuGAfAdFKi4Vq9efy1MeqfVzqglULFlosFRWxFcSlCo9QKlrL4oqIWFQEimARBATZAiH7ZJ+Z+/tjkssMSW4CTmYmyef9evHKvXPPPXOCHm7mm7PYYuJ5PgNol8K2QML48eMVFxenadOmqaCgQJKUmZnZrHsTExP1wgsv6PHHH9fChQv5Bxutis1mU5cuXVRVVWVuMMRIRITT8SEiU5mjV91yBykpKUxhBgBY8laUquw//1Lp1o9UtX970ze0Y4SDABAaYV1ldcyYMRo5cqTeeecdffLJJye0g1JMTIweeeQRjRo1SrNnz9amTZtasKVA6MXGxiorK0tZWVnyeDzyer3yelmgGi2vvLxce/fuNc9zcnKUkJAQwRbheA6HQw6HQ04ni58DABpneGtUvnOTSresVvnODZLX0+Q9bZkZDgZOKSYcBIAWE/ZPK4mJiRo/frzGjx9/UvcPHz5cw4cP17fffqsdO3aEuHVAeDidTsIChI3P5ws6j4uLI0QEAKCVMAxDVQd3yr31I7m/WitfRdtfIodwEACiU6tNMbp3767u3btHuhkAAAAAEHI1xUfk3vqx3FtWqyb/YKSbE1I2Z4ycadlypmbLlZbtP07Lliu1o5xpWbLHJREOAkAUiooQ0e12a9euXcrLy1NFRYXi4+PVoUMH9erVS8nJyZFuHgAAAAC0OF9Vudzb1sm99SNV7m3Fm0nanXKmZsqV1rF+WJiaLUdiKiEhALRCEQsRS0tL9frrr2v58uX66quvZBhGg+XOPPNMjR49Wtdcc41SU1PD3EoAAAAAaDmGz6uKb7/0r3O4/XMZnupIN6lpNrucKR1qQ8GOcqVl+UcSpnX0h4TJ6bLZ7JFuJQAgxCISIi5cuFCzZ89WSUmJJDUaIErStm3btG3bNj333HP61a9+pRtuuCFczQQAAACAFlF1eI/cW1bLvfVjecuKIt2cehxJGbXBoH/0oHmcli1ncgfZHFExqQ0AEEZh/Zff4/Ho17/+td555x1Jx8LD+Ph4devWTR06dFBaWprKy8tVWFio7du3q7y8XJJUVlamGTNmaP369Zo1a5ZiYmLC2XQAAAAA+F48pQVyf+Vf57D6yHcRbYs9ISVgunFW8NTj1CzZnK6Itg8AEH3CGiI+8MADevvtt83zUaNGafz48RoxYkSDoaDP59OXX36pBQsWaOXKlfJ6vfrggw9033336emnnw5n0wEAAADghPmqK1W243O5t6xWxbdbJMMXtveOyT5NzvQcczShPyjMkjM1W/aYuLC1AwDQNoQtRHzzzTe1fPly2Ww2ZWZmavr06frBD35geY/dbtfZZ5+ts88+WxMnTtSvf/1r5ebm6t1339XSpUs1fvz4MLUeAAAAQFMMr0ee0gJ5So7KW5IvT8lReUrzZXhqZI9L9IdY6R1r187LlM3RNke7GYZPlXu/UumW1Sr7+lMZ1ZVhe29neo6SB4xUUv8fyJWeE7b3BQC0fWEJEaurq/XUU09JkhITEzV//nz16dPnhOo455xz9NJLL+lnP/uZCgsL9dRTT+nKK6+U08laHAAAAEBLM3xeed2F8tSFg+bX2sCwNF9ed5Gkxtc7D2Kzy5mccSxUTOsoV3rt17SOsiektLodfKvz9sm99SOVblkjb2l+2N7XHpeoxL4XKHnARYrt3LvV/b0BAFqHsCRw77//vnJzc2Wz2fTYY4+dcIBYp3v37nr44Yd17733Ki8vT++9955Gjx4d4tYCAAAA7Yth+OR1F9eOHKwbRRgcFnrdhaGdimv4zBCycu9X9S7bXHFypWeboaL5Nb2jnKlZsrtiQ9eW78FbViz3f9aq9MuPVJ27K3xvbHcooddgJQ+4SAm9hrCGIQCgxYUlRPzggw8k+UPAMWPGfK+6xo4dqzlz5mjPnj368MMPCREBAAAAC4ZhyFdeEjRy0FOaHzDlOF+e0gLJ54l0U4MYNZWqPvJdoxuQOJIyakcuHgsa60YyOpLSZLPZW6xtPk+1yr/5Qu4tH6l81ybJ522x9zpe7CmnK2nASCX1vUCOhJSwvS8AAGEJEf/zn//IZrNp1KhRIanv0ksv1fz587V169aQ1AcAAAC0RoZhyFfpPjZasG7kYOmxUYTeknwZ3ppINzXkvO4Ced0F0r5t9a7ZnDFypmbVmyJdFzraY+JP+P0Mw1Dlvm0q/XK1yrb9S76q8lB8G83iTMn0B4f9f6CYzC5he18AAAKFJUQ8fPiwJKlnz54hqa9bt26SpNzc3JDUBwAAAEQjX02VPwwszvP/MYPBY2GhUVMV6WZGHcNTrZr8A6rJP6CKBq7bE1KCN3lJ6+jfwTi9o5zJHWSzO46VLS9UzIEtyl/3vHzFeWH7Hmwx8Uo6c7iSBoxU3Kl9W3RkJQAAzRGWELGmxv+bz9jY0KxbkpiYKMm/YQsAAADQWvmqyuUpzlNN0ZHakLA2LCw+Kk/xEXnLiiPdxDbJV16iqvISVR38pv5Fu1PO1EzZkzOVXFwoZ/EB/z3haJjNrvgeA5U8YKQSeg+NmnUfAQCQwhQipqenKy8vT/n5odmhrKCgQJKUlJQUkvoAAACAUDPXIizOU40ZDubJU5RnBoa+yrJINxPH83nkKcyVCnPD82FJUkzH7koa8AMl9b1QzuT0ML0rAAAnJizPxZycHOXl5Wnjxo269tprv3d9mzdvlnRsWjMAAAAQbobhk7e00Bw9WFMUEBTWvsZUYzTGkZSupP4XKqn/SMV27Bbp5gAA0KSwhIjnnXeevvzyS3300UcqKSlRSsrJ7yJWWlqqDz/8UDabTYMHDw5hKwEAAIBjDK/Hv0FJ3VTj4qOqqQsIi47IU5IfdTsaI7rZXLFK7DNMSQNGKr7bgKC1FwEAiHZhCREvvfRSzZs3T2VlZXrmmWf0m9/85qTrmj17tkpLS2Wz2XTFFVeEsJUAAABoT3w1VcdGDgb8qan96nUXSkZYVsJr0xyJqbLHJshTfLRN7hLdNJviuvVX8oCRSuxznuyxJ74zNAAA0SAsIeLAgQN1/vnn61//+pcWLFiggQMHnlQAuGTJEr366quy2WwaMWKE+vbt2wKtBQAAQFtg+LzylhaopjBXNYWH5Sk6rJrC3NpRhHlsWhIC9vhkOVMy5UzpIGdyBznqjgNeszldkmqnf7uLav87HFZN0WH/f4vac6+7IMLfTWi5MrsoecBIJfX/gZwpmZFuDgAA31u41grWAw88oIkTJ6qyslL333+/du3apVtvvVVxcXFN3ltRUaFZs2ZpwYIFkqT4+Hg98sgjLd1kAAAARDlfTdWxUKow91hQWHhYNcVHJC/TjU+WPS5RjuQOAaFg/bDwRHYPttnsciZnyJmcobiuZ9a7bo4MNQPGgK+FR2TUVIby22sR9oQUJfUboeQBFykmp4dsNlukmwQAQMiELUTs06ePHn/8cf3v//6vDMPQc889p//7v//TuHHjNHjwYPXt21fp6elKSkpSTU2NioqK9PXXX2vdunV68803VVJSIsMw5HQ6NXPmTJ166qnhajoAAAAipG6H4xozHAweVeh1F0a6ia2SLSYuIBTMlCPluLAwuUPYp93aXbGKyeyimMwu9a4F/n9QFxqbIWPhYf/6lDLC2t46NodLCb3PUdKAi5TQ42zZHGH7iAUAQFiF9Qn3wx/+UHPmzNHkyZNVUlKi4uJiLVy4UAsXLrS8zzD8PxCkpKRo5syZGjlyZDiaCwAAgDAwvB55So76g6HCXNUU1QaFhYdVU5Qrozr6R6BFE5szRs6UgKnFycFTjB0pmbLHJrSqUXI2m02OxFQ5ElOlzr3rXTe8Nf6Nb4oOB49krA0bfVXlIW9TXNczlTRgpBLPPF+OuMSQ1w8AQLQJ+6/JLr30Ur3xxhuaPXu2li9fLo+n6SkmTqdT48aN0913363s7OwwtBIAAACh5KuqCJpu7A93ar8W57GBSXM5nHImB6w5mJJZb8qxPT6pVQWEoWBzuOTK6CRXRqcGr3sr3EEjF+vWY6wpqv3/z+dt1vs403PMdQ5d6Tmh/BYAAIh6ERlr37lzZz3++OO65557tGrVKq1fv17bt29XUVGRiouL5XA4lJmZqd69e2v48OEaPXq0srKyItFUAAAANINhGPK6C49NOa4La2qPfeUlkW5iq2BzxcmZliVnSpZcqVly1v1Jy5YzJUuOpFTZbPZIN7PVccQnyRGfpNhOPetdM3xeeUry602Trso/pKqSAhnOGHnSu6rTsNFKO/3sdhfQAgBQJ6ILdnTs2FGTJk3SpEmTItkMAAAANMHnqZbXXSivu1Ce0kJ5S/NVU5xXu0ahf8djw1Md6WZGPXt8kpwpAeFgapZcqdnmcXscRRhpNrtDrrRsudKyFd9tgPm62+3W9u3bzXPXKafz3wYA0K5F/aq/brdbCQkJstv5jSsAAECoGd4aed1F8rgL5S0tkKe0wB8UugvldRf4A0N3gXwV7kg3tVVwJKbVGz0YOKIw3JuVAAAAhEpEQsS8vDwtXLhQPXr00JVXXmlZdt68eVqyZImuuOIK3XLLLerYsWOYWgkAANB6GV6PvGXFtaFgwbERhAHBoMddyDTjE2Gzy5mcERQQBo4odKZmyu6MiXQrAQAAWkTYQ8RXXnlFTz75pCorKzVq1KgmQ8RPP/1UhYWFWrBggZYsWaIHHniA6c8AAKDdMnxeectKasPAunCwIGCqce1xWbEkI9LNbV0cTjlTMuU6PiBMq/2a3EE2uyPSrQQAAIiIsIaI06ZN08KFCyX5F9/esGGDZfmamhodPnzYLF9ZWanHHntMBw8e1L333tvi7QUAAAgbw5CvrFhV7iPylhbK08joQW9ZMTsZnyy7w78GYXqOXGkdj40oTM1i0xIAAIAmhC1EXLx4sRYsWCCbzSbDMDRixAj9/Oc/t7zH5XLpo48+0qZNmzR37lytXr1ahmFo/vz56t27t8aNGxem1gMAAJw8X02Vud6gpzRf3pJ8eUoLVFV4WMlHD8leVSpbVZmOEg5+b7bYBLnSOsqVniNneseA4xw5UxhJCAAAcLLCEiKWlJToiSeekCTFxMRoxowZGj16dLPvHzRokJ577jktWbJEv/3tb+Xz+fT73/9el112meLi4lqq2QAAAJYMw5BRVS5Pab48tcGg9/jj0gL5KkobrSPqd7mLQo7kDnKld5QzLUeu9I4BxznsbgwAANBCwvJz61tvvaWSkhLZbDZNmzbthALEQBMmTFBhYaFmzZqloqIivfXWW7rmmmtC3NqWNWnSJG3cuLHZ5S+66CLNnTu30esbN27UokWL9MUXXygvL0/x8fE65ZRTdPHFF+uaa65Rp06dmv1e+/fv14IFC/TJJ59o//79kqTs7GwNHTpUEyZM0FlnndXsutxutxYvXqz3339fO3fuVEVFhbKzs3XGGWfo6quv1qhRo/gBHwAQ1QzD5197sHb0oKck3wwF/V/z5SkpkFFTGemmtjk2h8scRehMrx1JWDeiMC2bzUsAAAAiICwh4scffyxJ6tu37/eegnzzzTdr0aJFOnTokD766KNWFSIahqEdO3aEpC6fz6fp06drwYIFQa9XV1eruLhY27Zt01//+ldNnTq1WX/nS5cu1dSpU1VZGfxBaM+ePdqzZ4+WLFmim266Sffee68cDutpQFu2bNGvfvUrHTx4MOj1AwcO6MCBA/rggw80YsQIzZw5UxkZGc38jgEACB3D6zE3ITkWEB5/XCD5PJFuaptlj082Q0FXek5QUOhITmdtQgAAgCgTlhDx66+/ls1m06hRo753XQ6HQ//1X/+ll156Sdu2bQtB68Jn//79crvdkvwj/C6++OIm7+nTp0+Dr0+ZMkWLFy82z3v06KH+/furoqJC69atk9vtVllZme677z7Fx8db/t3/85//1EMPPSTD8O/gmJGRoaFDh8rpdGrTpk06cOCADMPQCy+8IK/Xq8mTJzda165du3TjjTeqtNQ/bSs2NlbnnXee0tPT9c033+irr76SJK1du1a33XabXn31VcXEMJoAABA6/vUHLaYXl+Szc3E42Oz+nY7TOx4bRVi7oYkrvaPscYmRbiEAAABOQFhCxKKiIknSqaeeGpL66oK1goKCkNQXLtu3bzePf/CDH+ixxx47qXo++OADM0B0Op167LHH9OMf/9i87na79cgjj2jFihUyDEMPPPCA3nvvvQZH/R0+fFiPPvqoGSBOmjRJDz30kBns+Xw+vfTSS5o5c6YMw9DLL7+sESNG6MILL6xXl2EYuu+++8wAcciQIXrqqaeUnZ1tlvn444917733qri4WP/+9781Z84c3XPPPSf19wAAaF98NVXyugvldRfJ4y6sPS4MOC6Qp6RAvkp3pJvabthi4uVKywqYahywRmFqlmwOV6SbCAAAgBAJ61reoVoDr24zFZ+vde1g+PXXX5vHZ5xxxknXM2vWLPP4rrvuCgoQJSkpKUl/+tOfVFJSorVr18rtduv555/XAw88UK+uv/zlLyovL5ckjRw5UlOmTAm6brfbdfPNN6uyslKzZ8+WJD399NMNhogrV640RxpmZWXpueeeU0pKSlCZCy+8UHPmzNENN9wgn8+nV199VTfccIM6dOhw4n8RAIBWzzAM+arKGwgEjz8uklFVHunmths2V5ycyRlyJKfLkZQuZ5L/+NhX/+v2mPhINxUAAABhEpYQMT09XYcPH9aRI0dCUt/Ro0cl+cOy1iQUIeL69eu1c+dOSVJmZqauv/76Bss5HA49/PDDGj16tAzD0Ouvv6577rlHLtexEQHl5eV66623zPO77rqr0fe99dZb9fe//10HDx7Uli1btHXrVvXv3z+ozKJFi8zjW265pV6AWGfo0KEaM2aMli1bpvLycv3jH//QTTfd1OT3DgBoPQzDJ195qUUoWGiOKjQ81ZFubrthc8bIkZzhDwGDvmbIkZRmHttjCQcBAAAQLCwh4umnn67Dhw9r48aN+n//7/997/rWr18vKXTTo8MlcDpzY2sdNmXVqlXm8SWXXKLY2NhGy3bv3l39+vXT1q1bVVxcrM8++0wjRowwr3/22WcqKyuTJHXr1k19+/ZttC6n06nLL79cL774oiTp3XffDQoRS0tL9cUXX5jnTe3APW7cOC1btsysixARAFoHw+uRt6y40XDQPC8rlnzeSDe33bA5XLWjBjPkrPualB4wetB/botNCNnMEAAAALQvYQkRR4wYoY8//lirV6/W4cOH1bFjx5Ou6/Dhw1q9erVsNpsGDhwYwla2rLKyMu3bt0+S1Llz50ZH6TVlw4YN5vGwYcOaLD9kyBBt3bpVkrRu3bqgEPFk6qoLEdetWxd0bdOmTfJ6/R8Wu3Xr1uR/48GDB5vHmzdvVllZmRITWWAdACLFMAz5KkpVU3BIntL8BkcMetyF8pWXig1JwsjuPBYK1k4tDgoKa1+zxyURDgIAAKBFhSVEHDt2rJ544gnV1NRoypQp+stf/nLSdf3ud79TVVWVbDabLr/88hC2smVt377d3LykbhTi/v379cknn2jPnj3y+XzKzs7WsGHD6k0TDlQ3lVmSevbs2eT7BpYJHAl5fF09evQ4obp27NghwzDMDywn2q6UlBRlZWUpLy9PPp9PO3fubFWhMAC0Vr7qStUUHFJNwcFjX/P9x2xIEl6OxDTZEtNULpd8sck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      "text/plain": [
       "<Figure size 1250x750 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "FOR WORLD DATA: Plotting CO2 EMission per Year for \n",
    "Coal, Petroleum, Natural Gas, NUclear & Renewable Energy Types \n",
    "'''\n",
    "\n",
    "with plt.rc_context(rc = {'figure.dpi': 250, 'axes.labelsize': 9,\n",
    "                          'xtick.labelsize': 10, 'ytick.labelsize': 10,\n",
    "                          'legend.title_fontsize': 7, 'axes.titlesize': 12,\n",
    "                          'axes.titlepad': 7}):\n",
    "\n",
    "    # Data with only the 'World' values\n",
    "    wd = df[df['Country']=='World']\n",
    "\n",
    "    \n",
    "    fig, ax = plt.subplots(1, 1, figsize = (5, 3))\n",
    "   \n",
    "    sns.lineplot(data=wd[wd['e_type']!='all'],\n",
    "            x='Year',\n",
    "            y='CO2_emission',\n",
    "            hue='e_type',\n",
    "            lw=3,\n",
    "            ).set_title('Yearly CO2_emission for each e_type globally (MMtonnes CO2)')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c81e6cc3",
   "metadata": {},
   "source": [
    "As We can See;  The leading Energy source in terms of CO2 Emission is Coal with a World Total Peak of Over `16,400 (MMtonnes CO2)`, followed by Petroleum at `11,750 (MMtonnes CO2)` and still raising. \n",
    "**We also see Natural Gas Total at about `6,500 (MMtonnes CO2)` which is about Half of what Coal & Pertroleum Produces Individually. All as of 2015**\n",
    "\n",
    "#### 3.7.2 Comparing Time Series Beteen Top Emitting Country & Top Emitting_per_Capita Country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "822ac3ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x576 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "Let's Visualise the actual CO2 Emission \n",
    "of Our Top 3 Emitting Countries & \n",
    "Our Top emitting_per_capita Countries\n",
    "'''\n",
    "fig, ax = plt.subplots(2, 3, figsize = (15, 8))\n",
    "\n",
    "# List of focused Countries\n",
    "countries = ['China','United States', 'India', 'United Arab Emirates', 'Singapore', 'Qatar' ]\n",
    "\n",
    "# Average CO2 Emission each year for top 6 emiters\n",
    "for idx, (country, axes) in enumerate(zip(countries, ax.flatten())):       \n",
    "    cd3 = df[df['Country']==country][df['e_type']=='all']\n",
    "    temp_data = cd3.groupby(['Year'])['CO2_emission'].sum().reset_index().sort_values(by='CO2_emission',ascending=False)\n",
    "    plot_ = sns.barplot(ax=axes, data=temp_data, x='Year', y='CO2_emission', palette=\"YlOrRd\")\n",
    "    \n",
    "    axes.set_title(country)  # Title\n",
    "    # Reducing Density of X-ticks\n",
    "    for ind, label in enumerate(plot_.get_xticklabels()):\n",
    "        if ind % 4 == 0:  # every 10th label is kept\n",
    "            label.set_visible(True)\n",
    "        else:\n",
    "            label.set_visible(False)\n",
    "    \n",
    "    # Rotating X axis\n",
    "    for tick in axes.get_xticklabels():\n",
    "        tick.set_rotation(45)\n",
    "    \n",
    "### Removing empty figures\n",
    "else:\n",
    "    [axes.set_visible(False) for axes in ax.flatten()[idx + 1:]]\n",
    "    \n",
    "plt.tight_layout(pad=0.4, w_pad=2, h_pad=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28c8f0b7",
   "metadata": {},
   "source": [
    "The above is a clear Conlusion on the matter showing Though UAE has an emission max at about `300 (MMtonnes CO2)` and China at Over `10,000 (MMtonnes CO2)`, UAE is worst at CO2 Emission as compared to China. `Same comparing US & Singapore, India & Qatar`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "bc3ae9de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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         "hovertemplate": "variable=emission_per_cap<br>Year=%{x}<br>value=%{y}<extra></extra>",
         "legendgroup": "emission_per_cap",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "symbol": "circle"
         },
         "mode": "lines",
         "name": "emission_per_cap",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
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         "xaxis": "x",
         "y": [
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         "yaxis": "y"
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         "legendgroup": "CO2_emission",
         "line": {
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         "yaxis": "y"
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        {
         "hovertemplate": "variable=GDP<br>Year=%{x}<br>value=%{y}<extra></extra>",
         "legendgroup": "GDP",
         "line": {
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         "marker": {
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        {
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         "line": {
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   "source": [
    "'''\n",
    "Time Series for Top Emitting Country\n",
    "Country: China\n",
    "'''\n",
    "c_df = df[df['Country']== 'China'][['Year', 'e_type','GDP', 'Population',\n",
    "                                    'e_con', 'Deforestation', 'emission_per_cap', 'CO2_emission']]\n",
    "c_df = c_df[c_df['e_type']== 'all'].drop('e_type', axis=1)\n",
    "# Seperate country because it's an Object variable\n",
    "ot = c_df.drop(['Year'], axis=1)\n",
    "c = c_df['Year'].to_list()\n",
    "# Scale the features to be compared to deal with Range Variation\n",
    "sc = StandardScaler()\n",
    "ot_s= pd.DataFrame(sc.fit_transform(ot), columns=ot.columns)\n",
    "# Join Tables\n",
    "china_comp = ot_s.copy()\n",
    "china_comp['Year'] = c\n",
    "# Plot Multiple line graph\n",
    "fig5 = px.line(china_comp, x='Year', y=['emission_per_cap', 'CO2_emission', \n",
    "                                        'GDP', 'Population', 'Deforestation'], \n",
    "               title='Time Series for our Top Emitting Country = CHINA')\n",
    "\n",
    "fig5.show()"
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   "source": [
    "China clearly `was` not doing well in terms of adpoting greener policies `in times past`, as we can see that her CO2 emission per capita is racing side-by-side with her actual CO2 Emission and GDP Growth. These was much terrible between 2012-2015, but as we can see [China's Economic Strategy in 2016](https://thediplomat.com/2015/12/china-unveils-economic-strategy-for-2016/), had the Chinese leaders vowing to confront the overcapacity problem as part of supply-side reforms. `Understand,` Overcapcity & Population raise may sound similar but doesn't eitherly mean the same thing. `Paraphrasing the official statement released after the conference, “The nation will study and formulate a set of policies aimed at resolving industrial overcapacity, as the supply glut has presented a major challenge to growth.”`. This move as you can see above, is one of the decisions that lead to the quick switch to better lesser co2 emitting processes even with a continous raise in GDP, Population and Deforestation."
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   "source": [
    "'''\n",
    "Time Series for Top Emitting_per_Capita Country\n",
    "Country: UAE (United Arab Emirates)\n",
    "'''\n",
    "u_df = df[df['Country']== 'United Arab Emirates'][['Year', 'e_type','GDP', 'Population',\n",
    "                                    'e_con', 'Deforestation', 'emission_per_cap', 'CO2_emission']]\n",
    "u_df = u_df[u_df['e_type']=='all'].drop('e_type', axis=1)\n",
    "# Seperate country because it's an Object variable\n",
    "ot = u_df.drop(['Year'], axis=1)\n",
    "c = u_df['Year'].to_list()\n",
    "# Scale the features to be compared to deal with Range Variation\n",
    "sc = StandardScaler()\n",
    "ot_s= pd.DataFrame(sc.fit_transform(ot), columns=ot.columns)\n",
    "# Join Tables\n",
    "UAE_comp = ot_s.copy()\n",
    "UAE_comp['Year'] = c\n",
    "# Plot Multiple line graph\n",
    "fig6 = px.line(UAE_comp, x='Year', y=['emission_per_cap', 'CO2_emission', \n",
    "                                        'GDP', 'Population', 'Deforestation'], \n",
    "               title='Time Series for our Top Emitting_per_Capita Country (UAE)')\n",
    "\n",
    "fig6.show()"
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   "id": "de68bd77",
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   "source": [
    "The UAE has remained Busy with her manufacturing sector and of course as a leading country in terms of Petroleum production, and also being the one of the tourist center of the world, it's only normal for we to see the high peak in CO2_emission_per_capita comming from here; But she has got two very good signs as we can see from above graph;\n",
    "\n",
    "1. She has greatly matched reducing the CO2_emission_per_capita even with her every increasing activities, from policies to embracing Technology. See [The UAE's response to climate change Article](https://u.ae/en/information-and-services/environment-and-energy/climate-change/theuaesresponsetoclimatechange): The UAE monitors the emission of gases that lead to the greenhouse effect and has reduced its per capita carbon emissions. Due to better technology and transition to more natural gas in power plants, emissions of carbon dioxide (CO2) per capita have decreased.\n",
    "2. She has flatten the Deforestation quick raise, proving her committment towards a more greener world. [CNN Reports](https://edition.cnn.com/2019/07/15/middleeast/abu-dhabi-mangroves-scn-intl/index.html) revealing Abu Dhabi is replanting mangroves in the fight against climate change"
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   "source": [
    "'''\n",
    "Comparing Total GDP, Manuf_GDP, & Agric_GDP\n",
    "Country: WORLD\n",
    "'''\n",
    "g_df = df[df['Country']== 'United Arab Emirates'][['Year', 'e_type','GDP', 'Manuf_GDP',\n",
    "                                    'Agric_GDP', 'emission_per_cap', 'CO2_emission']]\n",
    "g_df = g_df[g_df['e_type']=='all'].drop('e_type', axis=1)\n",
    "# Seperate country because it's an Object variable\n",
    "ot = g_df.drop(['Year'], axis=1)\n",
    "c = g_df['Year'].to_list()\n",
    "# Scale the features to be compared to deal with Range Variation\n",
    "sc = StandardScaler()\n",
    "ot_s= pd.DataFrame(sc.fit_transform(ot), columns=ot.columns)\n",
    "# Join Tables\n",
    "GDP_comp = ot_s.copy()\n",
    "GDP_comp['Year'] = c\n",
    "# Plot Multiple line graph\n",
    "fig7 = px.line(GDP_comp, x='Year', y=['emission_per_cap', 'CO2_emission', \n",
    "                                        'GDP', 'Manuf_GDP', 'Agric_GDP'], \n",
    "               title='WORLD Comparison of Total GDP, Manuf_GDP, & Agric_GD')\n",
    "\n",
    "fig7.show()"
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   "source": [
    "Remember the [Global Economic Recession 2007-2009](https://www.investopedia.com/terms/g/great-recession.asp)???\n",
    "\n",
    "The global financial crisis (GFC) which refers to the period the world experienced extreme stress in global financial markets and banking systems, occurred between mid-2007 and early 2009. This as we can see has been clearly captured by this dataset. If not for this event, it was an upward trajectory for the Manufacturing Industry (Purple Line)  in terms of `World GDP and CO2 emissions`, which is the Contributing sector of GDP that sustained its trajectory resulting in the corresponding rise in CO2 Emissions.\n",
    "\n",
    "Simply put: `Manufacturing GDP Contribution is the primary GDP factor that correlates the direct rise in GDP to CO2 emission.`\n",
    "\n",
    "Also; It's worthy of mentioning that we can see a stip decline in Co2 emission per capita (GLOBALLY) even with the raise in ManuFacturing GDP & CO2 emission; This shows that the world is actually taking a good turn towards lesser CO2 Emissions by adopting safer manufacturing technologies and processes. In Fact, This shows, that while we are gradually migrating to more greener energy sources, we will be seeing a much decline in CO2 Emissions.\n",
    "\n",
    "**`It's also great news to see that the Agricultural sector is picking up again globally.`**\n",
    "\n",
    "#### 3.7.3 Choropleth of CO2 Emission per Capita of each country (MMtonnes CO2 per capita)"
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     "metadata": {},
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   ],
   "source": [
    "cd2 = df[df['Country']!='World'][df['e_type']=='all']\n",
    "\n",
    "temp_cd5 = cd2[['Country', 'Year', 'emission_per_cap']].groupby(['Country','Year']).sum().reset_index()\n",
    "\n",
    "px.choropleth(data_frame=temp_cd5, locations=\"Country\", locationmode='country names', \n",
    "              animation_frame= 'Year', color='emission_per_cap', \n",
    "              title=\"CO2 Emission per Capita of each country from 1990 to 2019 (MMtonnes CO2 Per Capita)\")"
   ]
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  {
   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "<a id=\"four\"></a>\n",
    "## 4. Feature Engineering\n",
    "<a class=\"anchor\" id=\"1.1\"></a>\n",
    "<a href=#cont>Back to Table of Contents</a>\n",
    "\n",
    "---\n",
    "    \n",
    "| ⚡ Description: Feature engineering ⚡ |\n",
    "| :--------------------------- |\n",
    "| In this section we will be manipulating — adding, deleting, combinating, and mutating — of your data set if need be, to improve machine learning model training, leading to better performance and greater accuracy. Most of this have been done alongside or remains identified in the EDA phase. So, let's Proceed towards execution |\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "44a8992b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>e_type</th>\n",
       "      <th>Year</th>\n",
       "      <th>e_con</th>\n",
       "      <th>e_prod</th>\n",
       "      <th>GDP</th>\n",
       "      <th>Population</th>\n",
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       "      <th>ei_gdp</th>\n",
       "      <th>pop_growth</th>\n",
       "      <th>pop_density</th>\n",
       "      <th>Manuf_GDP</th>\n",
       "      <th>Agric_GDP</th>\n",
       "      <th>Deforestation</th>\n",
       "      <th>emission_per_cap</th>\n",
       "      <th>CO2_emission</th>\n",
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       "      <th>1950</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
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       "      <th>1951</th>\n",
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       "      <th>1952</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>nat_gas</td>\n",
       "      <td>1990</td>\n",
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       "    <tr>\n",
       "      <th>1954</th>\n",
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       "      <td>0.024676</td>\n",
       "      <td>0.017454</td>\n",
       "      <td>101.0988</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Country   e_type  Year  e_con  e_prod   GDP  Population  \\\n",
       "1950  Antigua and Barbuda      all  1990   0.01     0.0  0.98       62.53   \n",
       "1951  Antigua and Barbuda     coal  1990   0.00     0.0  0.98       62.53   \n",
       "1952  Antigua and Barbuda  nat_gas  1990   0.00     0.0  0.98       62.53   \n",
       "1953  Antigua and Barbuda  pet/oth  1990   0.01     0.0  0.98       62.53   \n",
       "1954  Antigua and Barbuda  nuclear  1990   0.00     0.0  0.98       62.53   \n",
       "\n",
       "      ei_capita  ei_gdp  pop_growth  pop_density  Manuf_GDP  Agric_GDP  \\\n",
       "1950      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "1951      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "1952      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "1953      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "1954      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "\n",
       "      Deforestation  emission_per_cap  CO2_emission  \n",
       "1950       101.0988          0.006397           0.4  \n",
       "1951       101.0988          0.000000           0.0  \n",
       "1952       101.0988          0.000000           0.0  \n",
       "1953       101.0988          0.006397           0.4  \n",
       "1954       101.0988          0.000000           0.0  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "059c2f3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Country: 0\n",
      "e_type: 0\n",
      "Year: 0\n",
      "e_con: 0\n",
      "e_prod: 0\n",
      "GDP: 0\n",
      "Population: 0\n",
      "ei_capita: 0\n",
      "ei_gdp: 0\n",
      "pop_growth: 0\n",
      "pop_density: 0\n",
      "Manuf_GDP: 0\n",
      "Agric_GDP: 0\n",
      "Deforestation: 0\n",
      "emission_per_cap: 0\n",
      "CO2_emission: 0\n"
     ]
    }
   ],
   "source": [
    "# Checking missing values/ features\n",
    "for var in df:\n",
    "    print(f'{var}: {df[var].isnull().sum()}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "39778b9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# feature Selection SEE HEATMAP\n",
    "wf = df.copy()\n",
    "#drop rows with World Data\n",
    "wf = wf[wf.Country != 'World'] # Drop all world data; Acting like outliers to Model (Got XGB RMSE 47 from 55)\n",
    "wf = wf[wf['CO2_emission'] >= 0] # Removing all NEGATIVE Prediction; Obvious error in reading (Got XGB RMSE 27.8 from 47)\n",
    "wf = wf[wf.e_type != 'all'] # Drop all Energy Type = ALL; Acting like outliers to Model (Got XGB RMSE 18.267 from 27.8)\n",
    "# Drop Country and Year\n",
    "all_df = wf.drop(['Country', 'Year'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "f26c9d07",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_s = x.loc[(x.Country=='Kenya')&(x['Year']==x['Year'].max())&(x['e_type']==5)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "ff3dcdeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['Kenya'],\n",
       "       [5],\n",
       "       [2019],\n",
       "       [0.33],\n",
       "       [0.08],\n",
       "       [211.47],\n",
       "       [52587.9],\n",
       "       [6.31],\n",
       "       [1.57],\n",
       "       [2.273],\n",
       "       [92.374],\n",
       "       [16.6574919],\n",
       "       [44.768199],\n",
       "       ['Africa'],\n",
       "       [36111.933],\n",
       "       [0.0003565458974402857],\n",
       "       [18.75]], dtype=object)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd_s.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "54900fc5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['Kenya', 5, 2019, 0.33, 0.08, 211.47, 52587.9, 6.31, 1.57, 2.273,\n",
       "        92.374, 16.6574919, 44.768199, 'Africa', 36111.933,\n",
       "        0.0003565458974402857, 18.75]], dtype=object)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(pd_s.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "25414ca2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "A a\n",
      "False\n",
      "A a\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "s = \"A man, a plan, a canal: Panama\"\n",
    "\n",
    "l = 0\n",
    "r = len(s) - 1\n",
    "\n",
    "while l < r:\n",
    "    while not s[l].isalnum():\n",
    "        l += 1\n",
    "    while not s[r].isalnum():\n",
    "        r -= 1\n",
    "    if s[l] != s[r]:\n",
    "        print(s[l],s[r])\n",
    "        print(False)\n",
    "print(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5138eb02",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_s = pd.DataFrame(\n",
    "    [{\n",
    "        0: 345,\n",
    "        'dhf': 45,\n",
    "        'dfeo': 34\n",
    "    }]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dd53a98c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "89c802a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([45], dtype=int64)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd_s['dhf'].values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd62d987",
   "metadata": {},
   "source": [
    "### Observation:\n",
    "The following were observed after several iteration process in the modelling stage leading to the following being dropped.\n",
    "1. All world Data was dropped as the appeard as Outliers to our Models\n",
    "2. Dropped a Couple of Roles with NEGATIVE CO2 Emission values which is obviously an outlier/wrong reading\n",
    "3. Dropped all observations with Energy Type = All as firstly, there is no such energy type, and secondly, it caused some level of distortion in which the relevant features will poss to accurate prediction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8e295a50",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = pd.read_feather('data/220714_full_dataset.feather')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "59692724",
   "metadata": {},
   "outputs": [],
   "source": [
    "# engineer existing features\n",
    "\n",
    "# List Energy Types\n",
    "# energy_types = all_df['e_type'].unique().tolist()\n",
    "# Encoding The Energy Types\n",
    "x[\"e_type\"].replace({\"all\": 5, \"coal\": 4, \"nat_gas\": 2, \n",
    "                         \"pet/oth\": 3, \"nuclear\": 1, \"ren/oth\": 0}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c2382268",
   "metadata": {},
   "outputs": [],
   "source": [
    "x.to_feather('220801_data.feather')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "65d62df6",
   "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>Country</th>\n",
       "      <th>e_type</th>\n",
       "      <th>Year</th>\n",
       "      <th>e_con</th>\n",
       "      <th>e_prod</th>\n",
       "      <th>GDP</th>\n",
       "      <th>Population</th>\n",
       "      <th>ei_capita</th>\n",
       "      <th>ei_gdp</th>\n",
       "      <th>pop_growth</th>\n",
       "      <th>pop_density</th>\n",
       "      <th>Manuf_GDP</th>\n",
       "      <th>Agric_GDP</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Deforestation</th>\n",
       "      <th>emission_per_cap</th>\n",
       "      <th>CO2_emission</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>5</td>\n",
       "      <td>1990</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>62.53</td>\n",
       "      <td>95.45</td>\n",
       "      <td>6.07</td>\n",
       "      <td>0.845</td>\n",
       "      <td>142.12</td>\n",
       "      <td>0.024676</td>\n",
       "      <td>0.017454</td>\n",
       "      <td>North America</td>\n",
       "      <td>101.0988</td>\n",
       "      <td>0.006397</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>4</td>\n",
       "      <td>1990</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>62.53</td>\n",
       "      <td>95.45</td>\n",
       "      <td>6.07</td>\n",
       "      <td>0.845</td>\n",
       "      <td>142.12</td>\n",
       "      <td>0.024676</td>\n",
       "      <td>0.017454</td>\n",
       "      <td>North America</td>\n",
       "      <td>101.0988</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>2</td>\n",
       "      <td>1990</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>62.53</td>\n",
       "      <td>95.45</td>\n",
       "      <td>6.07</td>\n",
       "      <td>0.845</td>\n",
       "      <td>142.12</td>\n",
       "      <td>0.024676</td>\n",
       "      <td>0.017454</td>\n",
       "      <td>North America</td>\n",
       "      <td>101.0988</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>3</td>\n",
       "      <td>1990</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>62.53</td>\n",
       "      <td>95.45</td>\n",
       "      <td>6.07</td>\n",
       "      <td>0.845</td>\n",
       "      <td>142.12</td>\n",
       "      <td>0.024676</td>\n",
       "      <td>0.017454</td>\n",
       "      <td>North America</td>\n",
       "      <td>101.0988</td>\n",
       "      <td>0.006397</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>1</td>\n",
       "      <td>1990</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.98</td>\n",
       "      <td>62.53</td>\n",
       "      <td>95.45</td>\n",
       "      <td>6.07</td>\n",
       "      <td>0.845</td>\n",
       "      <td>142.12</td>\n",
       "      <td>0.024676</td>\n",
       "      <td>0.017454</td>\n",
       "      <td>North America</td>\n",
       "      <td>101.0988</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "               Country  e_type  Year  e_con  e_prod   GDP  Population  \\\n",
       "0  Antigua and Barbuda       5  1990   0.01     0.0  0.98       62.53   \n",
       "1  Antigua and Barbuda       4  1990   0.00     0.0  0.98       62.53   \n",
       "2  Antigua and Barbuda       2  1990   0.00     0.0  0.98       62.53   \n",
       "3  Antigua and Barbuda       3  1990   0.01     0.0  0.98       62.53   \n",
       "4  Antigua and Barbuda       1  1990   0.00     0.0  0.98       62.53   \n",
       "\n",
       "   ei_capita  ei_gdp  pop_growth  pop_density  Manuf_GDP  Agric_GDP  \\\n",
       "0      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "1      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "2      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "3      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "4      95.45    6.07       0.845       142.12   0.024676   0.017454   \n",
       "\n",
       "       Continent  Deforestation  emission_per_cap  CO2_emission  \n",
       "0  North America       101.0988          0.006397           0.4  \n",
       "1  North America       101.0988          0.000000           0.0  \n",
       "2  North America       101.0988          0.000000           0.0  \n",
       "3  North America       101.0988          0.006397           0.4  \n",
       "4  North America       101.0988          0.000000           0.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Review\n",
    "x.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "da9e4483",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(22779, 14)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check shape if we have sufficient rep. data to model & Test with.\n",
    "all_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43b2d523",
   "metadata": {},
   "source": [
    "<a id=\"five\"></a>\n",
    "## 5. Extract Modelling Data\n",
    "<a class=\"anchor\" id=\"1.1\"></a>\n",
    "<a href=#cont>Back to Table of Contents</a>\n",
    "\n",
    "---\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "b45f4d7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Extract & Save Data as CSV\n",
    "Unhash: To Run\n",
    "\"\"\" \n",
    "\n",
    "all_df.to_csv('data/Our_CO2emission_Modelling_Data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7b3470e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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