{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lesson 11 - Dimensions and visualisation\n",
    "\n",
    "> Introduction to dimensionality reduction and visualisation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/lewtun/dslectures/master?urlpath=lab/tree/notebooks%2Flesson11_visualisation.ipynb) [![slides](https://img.shields.io/static/v1?label=slides&message=lesson11_visualisation.pdf&color=blue&logo=Google-drive)](https://drive.google.com/open?id=1zEGTza7zgBY6bDUxW6spcgr5InYY3Fub)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Learning objectives\n",
    "In this lecture we will have a look at dimensionality reduction and data visualisation. When we look at the feature vector of a dataset it can contain many features and each feature corresponds to its own dimension. In the first part of the notebook we will explore a method to reduce the dimensionality of a dataset. In the second part we will look at a an algorithm to extract information from high-dimensional data and display its structure in two dimensions. Both these methods fall into the cateogory of unsupersvised algorithms. The learning objectives are to be able to answer the following questions:\n",
    "\n",
    "* What is dimensionality reduction?\n",
    "* When is dimensionality reduction useful?\n",
    "* What is topology and how is it connected to Mapper?\n",
    "* What are the steps involved in Mapper?\n",
    "\n",
    "## References\n",
    "\n",
    "* Chapter 8: Dimensionality Reduction, Section PCA of _Hands-On Machine Learning with Scikit-Learn and TensorFlow_ by Aurèlien Geron\n",
    "* [Santa2Graph: visualize high dimensional data with Giotto Mapper](https://towardsdatascience.com/visualising-high-dimensional-data-with-giotto-mapper-897fcdb575d7)\n",
    "\n",
    "## Homework\n",
    "As homework read the references, work carefully through the notebook and solve the exercises. This lecture covers several complex topics and it is important that you familiarise yourself by experimenting with the notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 1: Principal component analysis\n",
    "\n",
    "First we have a look at a method to reduce the dimensions of a dataset. There are two main reasons why we would like to reduce the dimensionality of such datasets:\n",
    "\n",
    "1. Some machine learning algorithms struggle with high dimensional data.\n",
    "2. It is hard to visualize high dimensional data. In practice it is hard to visualise datasets that have more than two or three dimensions.\n",
    "\n",
    "There is one very common approach to reduce the dimensionality of data: principal component analysis (PCA). The idea is that not all axis contain the same amount of variance and that there are even combination of axis that contain most variance. PCA seeks to find new coordinate axis such that the variance along the axis is maximised and ordered (the first principal component conatains most variance).\n",
    "\n",
    "<div style=\"text-align: center\">\n",
    "<img src='images/pca_meme.jpg' width='400'>\n",
    "    <p style=\"text-align: center;\"> <b>Figure:</b> PCA can look intimidating at the beginning. </p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dalineplotrangling\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from dslectures.core import get_dataset, convert_strings_to_categories, rmse, fill_missing_values_with_median\n",
    "from pathlib import Path\n",
    "from tqdm import tqdm\n",
    "\n",
    "# data viz\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import matplotlib.image as mpimg\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set(color_codes=True)\n",
    "sns.set_palette(sns.color_palette(\"muted\"))\n",
    "\n",
    "# ml magic\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.model_selection import cross_validate\n",
    "\n",
    "#dslecture\n",
    "from dslectures.core import rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# uncomment if running on Binder / your laptop\n",
    "# !pip install --upgrade dslectures"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the data\n",
    "We will use the processed housing dataset for the principal component analysis. First we have to load it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset already exists at '../data/housing_processed.csv' and is not downloaded again.\n"
     ]
    }
   ],
   "source": [
    "get_dataset('housing_processed.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_path = Path('../data/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_data = pd.read_csv(data_path/'housing_processed.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>city</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>rooms_per_household</th>\n",
       "      <th>bedrooms_per_household</th>\n",
       "      <th>bedrooms_per_room</th>\n",
       "      <th>population_per_household</th>\n",
       "      <th>ocean_proximity_INLAND</th>\n",
       "      <th>ocean_proximity_&lt;1H OCEAN</th>\n",
       "      <th>ocean_proximity_NEAR BAY</th>\n",
       "      <th>ocean_proximity_NEAR OCEAN</th>\n",
       "      <th>ocean_proximity_ISLAND</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>69</td>\n",
       "      <td>94705</td>\n",
       "      <td>6.984127</td>\n",
       "      <td>1.023810</td>\n",
       "      <td>0.146591</td>\n",
       "      <td>2.555556</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>620</td>\n",
       "      <td>94611</td>\n",
       "      <td>6.238137</td>\n",
       "      <td>0.971880</td>\n",
       "      <td>0.155797</td>\n",
       "      <td>2.109842</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>620</td>\n",
       "      <td>94618</td>\n",
       "      <td>8.288136</td>\n",
       "      <td>1.073446</td>\n",
       "      <td>0.129516</td>\n",
       "      <td>2.802260</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>620</td>\n",
       "      <td>94618</td>\n",
       "      <td>5.817352</td>\n",
       "      <td>1.073059</td>\n",
       "      <td>0.184458</td>\n",
       "      <td>2.547945</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>620</td>\n",
       "      <td>94618</td>\n",
       "      <td>6.281853</td>\n",
       "      <td>1.081081</td>\n",
       "      <td>0.172096</td>\n",
       "      <td>2.181467</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "0    -122.23     37.88                41.0        880.0           129.0   \n",
       "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
       "2    -122.24     37.85                52.0       1467.0           190.0   \n",
       "3    -122.25     37.85                52.0       1274.0           235.0   \n",
       "4    -122.25     37.85                52.0       1627.0           280.0   \n",
       "\n",
       "   population  households  median_income  median_house_value  city  \\\n",
       "0       322.0       126.0         8.3252            452600.0    69   \n",
       "1      2401.0      1138.0         8.3014            358500.0   620   \n",
       "2       496.0       177.0         7.2574            352100.0   620   \n",
       "3       558.0       219.0         5.6431            341300.0   620   \n",
       "4       565.0       259.0         3.8462            342200.0   620   \n",
       "\n",
       "   postal_code  rooms_per_household  bedrooms_per_household  \\\n",
       "0        94705             6.984127                1.023810   \n",
       "1        94611             6.238137                0.971880   \n",
       "2        94618             8.288136                1.073446   \n",
       "3        94618             5.817352                1.073059   \n",
       "4        94618             6.281853                1.081081   \n",
       "\n",
       "   bedrooms_per_room  population_per_household  ocean_proximity_INLAND  \\\n",
       "0           0.146591                  2.555556                       0   \n",
       "1           0.155797                  2.109842                       0   \n",
       "2           0.129516                  2.802260                       0   \n",
       "3           0.184458                  2.547945                       0   \n",
       "4           0.172096                  2.181467                       0   \n",
       "\n",
       "   ocean_proximity_<1H OCEAN  ocean_proximity_NEAR BAY  \\\n",
       "0                          0                         1   \n",
       "1                          0                         1   \n",
       "2                          0                         1   \n",
       "3                          0                         1   \n",
       "4                          0                         1   \n",
       "\n",
       "   ocean_proximity_NEAR OCEAN  ocean_proximity_ISLAND  \n",
       "0                           0                       0  \n",
       "1                           0                       0  \n",
       "2                           0                       0  \n",
       "3                           0                       0  \n",
       "4                           0                       0  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19443, 20)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>city</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>rooms_per_household</th>\n",
       "      <th>bedrooms_per_household</th>\n",
       "      <th>bedrooms_per_room</th>\n",
       "      <th>population_per_household</th>\n",
       "      <th>ocean_proximity_INLAND</th>\n",
       "      <th>ocean_proximity_&lt;1H OCEAN</th>\n",
       "      <th>ocean_proximity_NEAR BAY</th>\n",
       "      <th>ocean_proximity_NEAR OCEAN</th>\n",
       "      <th>ocean_proximity_ISLAND</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "      <td>19443.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-119.560363</td>\n",
       "      <td>35.646739</td>\n",
       "      <td>28.435118</td>\n",
       "      <td>2617.678548</td>\n",
       "      <td>538.136964</td>\n",
       "      <td>1442.129970</td>\n",
       "      <td>501.427352</td>\n",
       "      <td>3.675099</td>\n",
       "      <td>191793.406162</td>\n",
       "      <td>541.629224</td>\n",
       "      <td>93030.145605</td>\n",
       "      <td>5.340245</td>\n",
       "      <td>1.091741</td>\n",
       "      <td>0.214812</td>\n",
       "      <td>3.095953</td>\n",
       "      <td>0.331482</td>\n",
       "      <td>0.439953</td>\n",
       "      <td>0.106774</td>\n",
       "      <td>0.121535</td>\n",
       "      <td>0.000257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.002697</td>\n",
       "      <td>2.145335</td>\n",
       "      <td>12.504584</td>\n",
       "      <td>2179.553070</td>\n",
       "      <td>420.168532</td>\n",
       "      <td>1140.254218</td>\n",
       "      <td>383.064222</td>\n",
       "      <td>1.569687</td>\n",
       "      <td>96775.724042</td>\n",
       "      <td>260.704512</td>\n",
       "      <td>1853.684352</td>\n",
       "      <td>2.190405</td>\n",
       "      <td>0.429728</td>\n",
       "      <td>0.056667</td>\n",
       "      <td>10.679036</td>\n",
       "      <td>0.470758</td>\n",
       "      <td>0.496394</td>\n",
       "      <td>0.308833</td>\n",
       "      <td>0.326756</td>\n",
       "      <td>0.016035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-124.350000</td>\n",
       "      <td>32.550000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.499900</td>\n",
       "      <td>14999.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>85344.000000</td>\n",
       "      <td>0.846154</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-121.760000</td>\n",
       "      <td>33.930000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>1438.500000</td>\n",
       "      <td>299.000000</td>\n",
       "      <td>799.000000</td>\n",
       "      <td>282.000000</td>\n",
       "      <td>2.526500</td>\n",
       "      <td>116700.000000</td>\n",
       "      <td>328.000000</td>\n",
       "      <td>91706.000000</td>\n",
       "      <td>4.412378</td>\n",
       "      <td>1.006140</td>\n",
       "      <td>0.177906</td>\n",
       "      <td>2.449692</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-118.490000</td>\n",
       "      <td>34.260000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>2111.000000</td>\n",
       "      <td>436.000000</td>\n",
       "      <td>1181.000000</td>\n",
       "      <td>411.000000</td>\n",
       "      <td>3.446400</td>\n",
       "      <td>173400.000000</td>\n",
       "      <td>545.000000</td>\n",
       "      <td>92860.000000</td>\n",
       "      <td>5.180451</td>\n",
       "      <td>1.048276</td>\n",
       "      <td>0.204545</td>\n",
       "      <td>2.841155</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>-117.990000</td>\n",
       "      <td>37.730000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>3119.000000</td>\n",
       "      <td>644.000000</td>\n",
       "      <td>1746.500000</td>\n",
       "      <td>606.000000</td>\n",
       "      <td>4.579750</td>\n",
       "      <td>247100.000000</td>\n",
       "      <td>770.000000</td>\n",
       "      <td>94606.000000</td>\n",
       "      <td>5.963796</td>\n",
       "      <td>1.097701</td>\n",
       "      <td>0.240414</td>\n",
       "      <td>3.308208</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>-114.310000</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>39320.000000</td>\n",
       "      <td>6445.000000</td>\n",
       "      <td>35682.000000</td>\n",
       "      <td>6082.000000</td>\n",
       "      <td>15.000100</td>\n",
       "      <td>499100.000000</td>\n",
       "      <td>977.000000</td>\n",
       "      <td>96161.000000</td>\n",
       "      <td>132.533333</td>\n",
       "      <td>34.066667</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1243.333333</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          longitude      latitude  housing_median_age   total_rooms  \\\n",
       "count  19443.000000  19443.000000        19443.000000  19443.000000   \n",
       "mean    -119.560363     35.646739           28.435118   2617.678548   \n",
       "std        2.002697      2.145335           12.504584   2179.553070   \n",
       "min     -124.350000     32.550000            1.000000      2.000000   \n",
       "25%     -121.760000     33.930000           18.000000   1438.500000   \n",
       "50%     -118.490000     34.260000           29.000000   2111.000000   \n",
       "75%     -117.990000     37.730000           37.000000   3119.000000   \n",
       "max     -114.310000     41.950000           52.000000  39320.000000   \n",
       "\n",
       "       total_bedrooms    population    households  median_income  \\\n",
       "count    19443.000000  19443.000000  19443.000000   19443.000000   \n",
       "mean       538.136964   1442.129970    501.427352       3.675099   \n",
       "std        420.168532   1140.254218    383.064222       1.569687   \n",
       "min          2.000000      3.000000      2.000000       0.499900   \n",
       "25%        299.000000    799.000000    282.000000       2.526500   \n",
       "50%        436.000000   1181.000000    411.000000       3.446400   \n",
       "75%        644.000000   1746.500000    606.000000       4.579750   \n",
       "max       6445.000000  35682.000000   6082.000000      15.000100   \n",
       "\n",
       "       median_house_value          city   postal_code  rooms_per_household  \\\n",
       "count        19443.000000  19443.000000  19443.000000         19443.000000   \n",
       "mean        191793.406162    541.629224  93030.145605             5.340245   \n",
       "std          96775.724042    260.704512   1853.684352             2.190405   \n",
       "min          14999.000000      1.000000  85344.000000             0.846154   \n",
       "25%         116700.000000    328.000000  91706.000000             4.412378   \n",
       "50%         173400.000000    545.000000  92860.000000             5.180451   \n",
       "75%         247100.000000    770.000000  94606.000000             5.963796   \n",
       "max         499100.000000    977.000000  96161.000000           132.533333   \n",
       "\n",
       "       bedrooms_per_household  bedrooms_per_room  population_per_household  \\\n",
       "count            19443.000000       19443.000000              19443.000000   \n",
       "mean                 1.091741           0.214812                  3.095953   \n",
       "std                  0.429728           0.056667                 10.679036   \n",
       "min                  0.333333           0.100000                  0.750000   \n",
       "25%                  1.006140           0.177906                  2.449692   \n",
       "50%                  1.048276           0.204545                  2.841155   \n",
       "75%                  1.097701           0.240414                  3.308208   \n",
       "max                 34.066667           1.000000               1243.333333   \n",
       "\n",
       "       ocean_proximity_INLAND  ocean_proximity_<1H OCEAN  \\\n",
       "count            19443.000000               19443.000000   \n",
       "mean                 0.331482                   0.439953   \n",
       "std                  0.470758                   0.496394   \n",
       "min                  0.000000                   0.000000   \n",
       "25%                  0.000000                   0.000000   \n",
       "50%                  0.000000                   0.000000   \n",
       "75%                  1.000000                   1.000000   \n",
       "max                  1.000000                   1.000000   \n",
       "\n",
       "       ocean_proximity_NEAR BAY  ocean_proximity_NEAR OCEAN  \\\n",
       "count              19443.000000                19443.000000   \n",
       "mean                   0.106774                    0.121535   \n",
       "std                    0.308833                    0.326756   \n",
       "min                    0.000000                    0.000000   \n",
       "25%                    0.000000                    0.000000   \n",
       "50%                    0.000000                    0.000000   \n",
       "75%                    0.000000                    0.000000   \n",
       "max                    1.000000                    1.000000   \n",
       "\n",
       "       ocean_proximity_ISLAND  \n",
       "count            19443.000000  \n",
       "mean                 0.000257  \n",
       "std                  0.016035  \n",
       "min                  0.000000  \n",
       "25%                  0.000000  \n",
       "50%                  0.000000  \n",
       "75%                  0.000000  \n",
       "max                  1.000000  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We drop the two columns that contain categorical data with many categories. We could create extra columns for each categoriy but since there are many of them that would create a lot of extra features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_data.drop(['city', 'postal_code'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we split the data into features and labels as usual:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = housing_data.drop('median_house_value', axis=1)\n",
    "y = housing_data['median_house_value']\n",
    "feature_labels = X.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Baseline\n",
    "First we train the a Random Forest with the settings we tuned in lesson 6 as a baseline for future model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rf = RandomForestRegressor(n_estimators=100, max_features='sqrt', n_jobs=-1, random_state=42)\n",
    "                             \n",
    "results = cross_validate(rf, X, y,\n",
    "                         cv=5,\n",
    "                         return_train_score=True,\n",
    "                         scoring='neg_root_mean_squared_error')\n",
    "rmse_full = -np.mean(results[\"test_score\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get an RMSE of roughly 60'000:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 60301.958010516806\n"
     ]
    }
   ],
   "source": [
    "print(f'RMSE: {rmse_full}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Standardisation\n",
    "PCA works by finding new axes in the dataset that cover the most variance. Since variance is the average squared distance of each sample to the sample mean this depends on the scale of the feature. To illustrate this think of two columns that contain the height of the person measured in centimeter and meter. Although height described in these two columns are the same the variance will be 10'000 times larger in the centimeter column (100^2) and the standard deviation 100 times larger."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rand_values = np.random.randn(1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8323069928850167"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rand_values.var()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8323.069928850167"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(100*rand_values).var()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this reason it is important to scale the features such that they are comparable to each other. A common approach to do this is to transform the data such that the mean is zero and the standard deviation is one. The following formula achieves this:\n",
    "\n",
    "$x_{std}=\\frac{x_{old}-\\mu}{\\sigma}$\n",
    "\n",
    "Scikit-learn provides a function to do this for us called `StandardScaler`. We can do this in one line with the function `.fit_transform()`. Similar to the function `fit_predict()` it combines the process of fitting which means calculating the mean and standard deviation of the dataset and then transforming the data by applying the above described formula."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_std = StandardScaler().fit_transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19443, 17)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_std.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the mean is zero (or close enough) and the standard deviation is one:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-4.44386137e-16,  2.19854194e-15,  9.35549763e-17, -2.48505406e-17,\n",
       "       -1.02325755e-16,  7.74752147e-17, -1.24252703e-17, -1.46179650e-16,\n",
       "       -9.94021623e-17,  1.57874022e-16,  7.01662322e-17,  2.92359301e-17,\n",
       "        1.60797615e-16,  1.43256057e-16,  6.13954532e-17, -3.14286248e-17,\n",
       "        1.16943720e-17])"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_std.mean(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_std.std(axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Principal component analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we apply principal component analysis to the standardised features. After initialising a `PCA` object we can use the `.fit_transform()` to find the principal components and then transform the dataset into these new coordinates.\n",
    "\n",
    "> Note: You should never `fit_transform` the test set. Use it on the training set and apply the mean and standard deviation with `transform` to the test set. This is true for all data preprocessing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_pca = pca.fit_transform(X_std)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the transformed dataset still has the same shape. However the columns are no longer the features but the coordinates in the new principal component coordinates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19443, 17)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_pca.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explained variance\n",
    "The explained variance is an important concept in principal component analysis. It tells us how much variance of the whole dataset is contained along one principal component axis. The component with the more variation can encode more information than features with little variation. The explained variance is stored in the `pca` object and we can use it to visualise the distribution. The `explained_variance_ratio_` tells us the percentage of variance each component contains from the total variance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2.32152692e-01, 1.58210508e-01, 1.27146991e-01, 1.00792055e-01,\n",
       "       7.93230339e-02, 7.26018573e-02, 5.93200071e-02, 5.87781344e-02,\n",
       "       4.47812090e-02, 3.66692458e-02, 1.63533745e-02, 7.52994128e-03,\n",
       "       2.65596682e-03, 1.50076877e-03, 1.26555424e-03, 9.18660939e-04,\n",
       "       1.01541990e-32])"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca.explained_variance_ratio_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca_labels = [f'principal component {i+1}' for i in range(len(pca.explained_variance_ratio_))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "barplot = sns.barplot(x=pca_labels, y=pca.explained_variance_ratio_)\n",
    "barplot.set_xticklabels(pca_labels, rotation=90)\n",
    "plt.title('explained variance ratio')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that already the first three components together account for 50% of the total variance in the dataset. We can visualise this more systematically by plotting the cumulative sum of the explained variance rations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(np.arange(len(pca.explained_variance_ratio_)), np.cumsum(pca.explained_variance_ratio_))\n",
    "plt.ylabel('total explained variance')\n",
    "plt.xlabel('number of included PCA components')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that with 7 of the 17 axes we already explain 90% percent of the variance in the dataset and that after 10 we almost reach 100%. That means the components 10-17 probably don't contain much information and can be discarded."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### PCA vector composition\n",
    "Naturally, we would like to know what these principal components mean. For example the first component contains 25% of the total variance. What information is stored in that component? The `pca` object also contains the `components_` which define the transformation between the original dataset and the transformed  one. We can print a few of the components and interpret them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_tabular(labels, values):\n",
    "    df = pd.DataFrame(data=values, columns=labels)\n",
    "    display(df.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The first three principal components:\n"
     ]
    },
    {
     "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>longitude</th>\n",
       "      <td>0.096240</td>\n",
       "      <td>-0.440492</td>\n",
       "      <td>0.279899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>latitude</th>\n",
       "      <td>-0.093538</td>\n",
       "      <td>0.511034</td>\n",
       "      <td>-0.231581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>housing_median_age</th>\n",
       "      <td>-0.228990</td>\n",
       "      <td>-0.102574</td>\n",
       "      <td>-0.203651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_rooms</th>\n",
       "      <td>0.480823</td>\n",
       "      <td>0.110303</td>\n",
       "      <td>0.003569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_bedrooms</th>\n",
       "      <td>0.481068</td>\n",
       "      <td>0.046098</td>\n",
       "      <td>-0.114091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population</th>\n",
       "      <td>0.466057</td>\n",
       "      <td>-0.002745</td>\n",
       "      <td>-0.121771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>households</th>\n",
       "      <td>0.482901</td>\n",
       "      <td>0.023411</td>\n",
       "      <td>-0.149648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>median_income</th>\n",
       "      <td>0.083829</td>\n",
       "      <td>0.066170</td>\n",
       "      <td>0.381905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rooms_per_household</th>\n",
       "      <td>0.029542</td>\n",
       "      <td>0.299368</td>\n",
       "      <td>0.519937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms_per_household</th>\n",
       "      <td>0.006354</td>\n",
       "      <td>0.204508</td>\n",
       "      <td>0.343374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms_per_room</th>\n",
       "      <td>-0.029537</td>\n",
       "      <td>-0.230823</td>\n",
       "      <td>-0.379778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population_per_household</th>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.003664</td>\n",
       "      <td>0.003476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocean_proximity_INLAND</th>\n",
       "      <td>-0.010714</td>\n",
       "      <td>0.326173</td>\n",
       "      <td>0.037222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocean_proximity_&lt;1H OCEAN</th>\n",
       "      <td>0.054867</td>\n",
       "      <td>-0.404136</td>\n",
       "      <td>0.152350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocean_proximity_NEAR BAY</th>\n",
       "      <td>-0.067325</td>\n",
       "      <td>0.233822</td>\n",
       "      <td>-0.269103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocean_proximity_NEAR OCEAN</th>\n",
       "      <td>-0.003977</td>\n",
       "      <td>-0.076523</td>\n",
       "      <td>-0.030817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocean_proximity_ISLAND</th>\n",
       "      <td>-0.006251</td>\n",
       "      <td>-0.009071</td>\n",
       "      <td>0.001835</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   0         1         2\n",
       "longitude                   0.096240 -0.440492  0.279899\n",
       "latitude                   -0.093538  0.511034 -0.231581\n",
       "housing_median_age         -0.228990 -0.102574 -0.203651\n",
       "total_rooms                 0.480823  0.110303  0.003569\n",
       "total_bedrooms              0.481068  0.046098 -0.114091\n",
       "population                  0.466057 -0.002745 -0.121771\n",
       "households                  0.482901  0.023411 -0.149648\n",
       "median_income               0.083829  0.066170  0.381905\n",
       "rooms_per_household         0.029542  0.299368  0.519937\n",
       "bedrooms_per_household      0.006354  0.204508  0.343374\n",
       "bedrooms_per_room          -0.029537 -0.230823 -0.379778\n",
       "population_per_household   -0.002497 -0.003664  0.003476\n",
       "ocean_proximity_INLAND     -0.010714  0.326173  0.037222\n",
       "ocean_proximity_<1H OCEAN   0.054867 -0.404136  0.152350\n",
       "ocean_proximity_NEAR BAY   -0.067325  0.233822 -0.269103\n",
       "ocean_proximity_NEAR OCEAN -0.003977 -0.076523 -0.030817\n",
       "ocean_proximity_ISLAND     -0.006251 -0.009071  0.001835"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('The first three principal components:')\n",
    "print_tabular(feature_labels, pca.components_[:3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The way to read this table is to think of it as a recipe to construct the first three principal components coordinates from the original features. Given a new datapoint we can for example calculate the first principal component by multiplying the longitude by the value in column `0` plus the latitude multiplied by the corresponding value in column `0` etc.. This weighted sum of the original featuers will yield the first coordinate in the PCA coordinate system.\n",
    "\n",
    "${x_{PC,i}} = \\sum_{i=0}^{n-1} w_{i,j} \\cdot x_{feat, j}$\n",
    "\n",
    "From this we can see that the first component mainly consists of the three features `total_rooms`, `total_bedrooms`, and `households`:\n",
    "\n",
    "$x_{PC,0} = 0.096 \\cdot longitude + (-0.093) \\cdot lattidue + (-0.229) \\cdot housing\\_median\\_value + \\dots$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualisation\n",
    "We can now use the principle components to visualise the data. We have a closer look at the first two components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(X_pca[:,0], X_pca[:,1], alpha=0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x122ee7a58>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jplot = sns.jointplot(X_pca[:,0],  X_pca[:,1], kind=\"hex\", color=\"#4CB391\",xlim=[-5,10], ylim=[-5,10])\n",
    "jplot.set_axis_labels('Principal component 1', 'Principal component 2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We observe that there seem to be two visible clusters along these two axis. We could now investigate these clusters further and might find some property of the dataset that might be useful to us or our customer. Let's do it!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 1\n",
    "Create plots of other principal components and investigate if you find any interesting features."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Advanced: Cluster investigation\n",
    "In this section we have a closer look at the clusters we observed in the previous plot. The clustering seems to mainly happen along the second principle component. Let's plot a fine-grained histogram of that component:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(X_pca[:,1], bins=np.linspace(-5, 5, 50))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the clusters seem to be seperated around `-0.5`. We can create a mask for the data points that are below that threshold."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "left_group = X_pca[:,1]<-0.5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Furthermore, we only want to investigate the features that contribute to the second principal component. Therefore, we set another threshold for the minimum absolute feature coefficient."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pc1_features = list(feature_labels[np.abs(pca.components_[1])>0.2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are the components that mainly contribute to the second principal component:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['longitude',\n",
       " 'latitude',\n",
       " 'rooms_per_household',\n",
       " 'bedrooms_per_household',\n",
       " 'bedrooms_per_room',\n",
       " 'ocean_proximity_INLAND',\n",
       " 'ocean_proximity_<1H OCEAN',\n",
       " 'ocean_proximity_NEAR BAY']"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pc1_features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unfortunately, the `StandardScaler` transformed the DataFrame `X` into an array `X_std`. Let's transform it to a DataFrame again:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_std = pd.DataFrame(data=X_std, columns=feature_labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With `loc` and the mask we just created we can now slice out the datapoints of the left and right group. We have a look at the statistics of the relevant features of the two groups with `.describe()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>rooms_per_household</th>\n",
       "      <th>bedrooms_per_household</th>\n",
       "      <th>bedrooms_per_room</th>\n",
       "      <th>ocean_proximity_INLAND</th>\n",
       "      <th>ocean_proximity_&lt;1H OCEAN</th>\n",
       "      <th>ocean_proximity_NEAR BAY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8602.000000</td>\n",
       "      <td>8602.000000</td>\n",
       "      <td>8602.000000</td>\n",
       "      <td>8602.000000</td>\n",
       "      <td>8602.000000</td>\n",
       "      <td>8602.000000</td>\n",
       "      <td>8602.000000</td>\n",
       "      <td>8602.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.767273</td>\n",
       "      <td>-0.858163</td>\n",
       "      <td>-0.236650</td>\n",
       "      <td>-0.099011</td>\n",
       "      <td>0.289184</td>\n",
       "      <td>-0.630324</td>\n",
       "      <td>0.729185</td>\n",
       "      <td>-0.345365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.374053</td>\n",
       "      <td>0.273084</td>\n",
       "      <td>0.523087</td>\n",
       "      <td>0.205740</td>\n",
       "      <td>1.184709</td>\n",
       "      <td>0.389128</td>\n",
       "      <td>0.802984</td>\n",
       "      <td>0.034913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1.577731</td>\n",
       "      <td>-1.443513</td>\n",
       "      <td>-2.051770</td>\n",
       "      <td>-1.764901</td>\n",
       "      <td>-1.787272</td>\n",
       "      <td>-0.704163</td>\n",
       "      <td>-0.886320</td>\n",
       "      <td>-0.345741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.619362</td>\n",
       "      <td>-0.902791</td>\n",
       "      <td>-0.611887</td>\n",
       "      <td>-0.208570</td>\n",
       "      <td>-0.519333</td>\n",
       "      <td>-0.704163</td>\n",
       "      <td>1.128260</td>\n",
       "      <td>-0.345741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.709243</td>\n",
       "      <td>-0.804902</td>\n",
       "      <td>-0.279346</td>\n",
       "      <td>-0.111908</td>\n",
       "      <td>0.105280</td>\n",
       "      <td>-0.704163</td>\n",
       "      <td>1.128260</td>\n",
       "      <td>-0.345741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.874025</td>\n",
       "      <td>-0.734981</td>\n",
       "      <td>0.105771</td>\n",
       "      <td>-0.012303</td>\n",
       "      <td>0.870705</td>\n",
       "      <td>-0.704163</td>\n",
       "      <td>1.128260</td>\n",
       "      <td>-0.345741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.501871</td>\n",
       "      <td>1.367309</td>\n",
       "      <td>1.901482</td>\n",
       "      <td>2.484505</td>\n",
       "      <td>13.856510</td>\n",
       "      <td>1.420126</td>\n",
       "      <td>1.128260</td>\n",
       "      <td>2.892336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         longitude     latitude  rooms_per_household  bedrooms_per_household  \\\n",
       "count  8602.000000  8602.000000          8602.000000             8602.000000   \n",
       "mean      0.767273    -0.858163            -0.236650               -0.099011   \n",
       "std       0.374053     0.273084             0.523087                0.205740   \n",
       "min      -1.577731    -1.443513            -2.051770               -1.764901   \n",
       "25%       0.619362    -0.902791            -0.611887               -0.208570   \n",
       "50%       0.709243    -0.804902            -0.279346               -0.111908   \n",
       "75%       0.874025    -0.734981             0.105771               -0.012303   \n",
       "max       2.501871     1.367309             1.901482                2.484505   \n",
       "\n",
       "       bedrooms_per_room  ocean_proximity_INLAND  ocean_proximity_<1H OCEAN  \\\n",
       "count        8602.000000             8602.000000                8602.000000   \n",
       "mean            0.289184               -0.630324                   0.729185   \n",
       "std             1.184709                0.389128                   0.802984   \n",
       "min            -1.787272               -0.704163                  -0.886320   \n",
       "25%            -0.519333               -0.704163                   1.128260   \n",
       "50%             0.105280               -0.704163                   1.128260   \n",
       "75%             0.870705               -0.704163                   1.128260   \n",
       "max            13.856510                1.420126                   1.128260   \n",
       "\n",
       "       ocean_proximity_NEAR BAY  \n",
       "count               8602.000000  \n",
       "mean                  -0.345365  \n",
       "std                    0.034913  \n",
       "min                   -0.345741  \n",
       "25%                   -0.345741  \n",
       "50%                   -0.345741  \n",
       "75%                   -0.345741  \n",
       "max                    2.892336  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_std.loc[left_group, pc1_features].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>rooms_per_household</th>\n",
       "      <th>bedrooms_per_household</th>\n",
       "      <th>bedrooms_per_room</th>\n",
       "      <th>ocean_proximity_INLAND</th>\n",
       "      <th>ocean_proximity_&lt;1H OCEAN</th>\n",
       "      <th>ocean_proximity_NEAR BAY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>10841.000000</td>\n",
       "      <td>10841.000000</td>\n",
       "      <td>10841.000000</td>\n",
       "      <td>10841.000000</td>\n",
       "      <td>10841.000000</td>\n",
       "      <td>10841.000000</td>\n",
       "      <td>10841.000000</td>\n",
       "      <td>10841.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-0.608807</td>\n",
       "      <td>0.680926</td>\n",
       "      <td>0.187775</td>\n",
       "      <td>0.078563</td>\n",
       "      <td>-0.229459</td>\n",
       "      <td>0.500143</td>\n",
       "      <td>-0.578586</td>\n",
       "      <td>0.274036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.919116</td>\n",
       "      <td>0.828470</td>\n",
       "      <td>1.223449</td>\n",
       "      <td>1.321400</td>\n",
       "      <td>0.748986</td>\n",
       "      <td>1.052636</td>\n",
       "      <td>0.724778</td>\n",
       "      <td>1.273936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-2.391655</td>\n",
       "      <td>-1.406222</td>\n",
       "      <td>-1.655426</td>\n",
       "      <td>-1.667938</td>\n",
       "      <td>-2.026123</td>\n",
       "      <td>-0.704163</td>\n",
       "      <td>-0.886320</td>\n",
       "      <td>-0.345741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-1.298101</td>\n",
       "      <td>0.299849</td>\n",
       "      <td>-0.246291</td>\n",
       "      <td>-0.191329</td>\n",
       "      <td>-0.724091</td>\n",
       "      <td>-0.704163</td>\n",
       "      <td>-0.886320</td>\n",
       "      <td>-0.345741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-0.943570</td>\n",
       "      <td>0.929138</td>\n",
       "      <td>0.056233</td>\n",
       "      <td>-0.092209</td>\n",
       "      <td>-0.309306</td>\n",
       "      <td>1.420126</td>\n",
       "      <td>-0.886320</td>\n",
       "      <td>-0.345741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>-0.034773</td>\n",
       "      <td>1.143562</td>\n",
       "      <td>0.386952</td>\n",
       "      <td>0.040083</td>\n",
       "      <td>0.146278</td>\n",
       "      <td>1.420126</td>\n",
       "      <td>-0.886320</td>\n",
       "      <td>-0.345741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.621713</td>\n",
       "      <td>2.938200</td>\n",
       "      <td>58.069790</td>\n",
       "      <td>76.736388</td>\n",
       "      <td>6.038055</td>\n",
       "      <td>1.420126</td>\n",
       "      <td>1.128260</td>\n",
       "      <td>2.892336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          longitude      latitude  rooms_per_household  \\\n",
       "count  10841.000000  10841.000000         10841.000000   \n",
       "mean      -0.608807      0.680926             0.187775   \n",
       "std        0.919116      0.828470             1.223449   \n",
       "min       -2.391655     -1.406222            -1.655426   \n",
       "25%       -1.298101      0.299849            -0.246291   \n",
       "50%       -0.943570      0.929138             0.056233   \n",
       "75%       -0.034773      1.143562             0.386952   \n",
       "max        2.621713      2.938200            58.069790   \n",
       "\n",
       "       bedrooms_per_household  bedrooms_per_room  ocean_proximity_INLAND  \\\n",
       "count            10841.000000       10841.000000            10841.000000   \n",
       "mean                 0.078563          -0.229459                0.500143   \n",
       "std                  1.321400           0.748986                1.052636   \n",
       "min                 -1.667938          -2.026123               -0.704163   \n",
       "25%                 -0.191329          -0.724091               -0.704163   \n",
       "50%                 -0.092209          -0.309306                1.420126   \n",
       "75%                  0.040083           0.146278                1.420126   \n",
       "max                 76.736388           6.038055                1.420126   \n",
       "\n",
       "       ocean_proximity_<1H OCEAN  ocean_proximity_NEAR BAY  \n",
       "count               10841.000000              10841.000000  \n",
       "mean                   -0.578586                  0.274036  \n",
       "std                     0.724778                  1.273936  \n",
       "min                    -0.886320                 -0.345741  \n",
       "25%                    -0.886320                 -0.345741  \n",
       "50%                    -0.886320                 -0.345741  \n",
       "75%                    -0.886320                 -0.345741  \n",
       "max                     1.128260                  2.892336  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_std.loc[~left_group, pc1_features].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Note: The `~` operator creates the boolean complement. So `True` becomes `False` and vice versa."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just looking at the feature mean of the two groups we see that there seems to be a significant difference between almost all features. To have a more detailed view let's compare the histograms of each feature:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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UmXn2ICdOnKg333xTHo8nVMcFAADQ5bS6zC0mJkb33HOP0tLS1KtXL11zzTWy2Wyy2+3Bbex2u6qrq1VfX6+YmJjgR+t/OS5JNTU1wedYrVbFxMToxIkTSkhIaFOh57tfaiS7PdaUeXoK+mk8I3paXd+k6OhIA6o5v169bLJfFBHyeS4E56jx6KmxQt3PmpowWa0960MOjDzesLCwdr1GrQavv//973rxxRf1+uuvKzY2Vvfdd5/+8pe/tNjOYrHoXOv0z/dllud6W+i/w+L67od+Gs+onjZ4w+R2NxpQUSvzNHhUWxv6eTqKc9R49NRYZvTT7/fL6+26b4IxmtUaZujx+v3+Zq/RBS+u37Fjh8aOHat+/fopIiJCWVlZeuedd3T8+P+9I6q2tlYOh0Px8fFyuVzy+XzNxiXJ4XAEn+P1euVyuRQXZ85bNwEAALqCVoPXsGHDVFlZqdOnTysQCGjbtm265pprFBkZqaqqKklSeXm5kpKSZLPZlJiYqIqKimbjkpScnKzy8nJJUkVFhRITE2Wz2UJ1XAAAoIN6WxoV7Ttp+H+9LV33CrhZWr3VeP311+vDDz9UVlaWbDabvvOd72ju3Ln64Q9/qPz8fLndbo0YMULZ2We/P2nJkiXKzc3VqlWrNGDAABUXF0uS7rnnHuXm5iojI0OxsbEqKioK7ZEBAIAOCfM26Mx7Wwzfb+/RE6Tw1teXer1ePf30n7RlyyuyWCzy+XxKS5uoWbNuO+8SJiOdPn1ay5Y9oM8+O6BAIKDs7Ns1fnzKBe+3TZ8hO3fuXM2dO7fZ2LBhw/TCCy+02HbgwIFau3Zti/G4uDitXr26g2UCAICe4re/XaH6+jqtXv2EYmNj5Xa7lJeXo+joGE2Z8iNTanjqqf9VQkJ//frXy1Vff0KzZ8/QVVclKj6+3wXtl68MAgAAXUZNTbW2bKnQ+vWvKDb27LsFo6Nj9Itf3B/83sXCwqU6efKkjhw5pHnzFigu7iKtXFmkpqYmxcXFKScnT//xH4N0991zdfvtc3XVVYnBL9kuL39ZhYVLZbFY9Omnn8jlcmn27DlKTc1oVseYMVdp0KBLJEkXXRSvPn36qK6ujuAFAAC+Pvbt+0CXXHKZ+vTp02x8yJBLNGTIJcHHffv21UMPlcjj8Wj69Cz9+tfLNXz4t7Vt22taunSRHnvsyfPOU1tbo9WrH9eJE3WaM2eWrr76WvXr93/fT3n11dcF/7x16xZ5PB5deullF3x8PeuDOwAAQJf31XVcr7/+mmbPnqHs7P/UT36SHRwfMWKkJOnQoYOKjY3V8OHfliSNGzdehw8fksvlOu8c6emZslqtcjgS9J3vjNKePe+dc7tt217TI4/8Vr/+9Yrg55ReCK54AQCALmPo0OE6cOBTud0uRUfH6Kabxuumm8YHbxV+KTLy7CL9c3/GZ0B+v69ZgPvyO6W/FB7+fxEoEPA3e/ylF154Vs88s1bFxb/XN795+QUe2Vlc8QIAAF1G//4DlJKSrgcfXKovvjj7waQ+n0+VlW+d84PXBw8eopMnT2rfvg8kSVu3vqqEhAHq06ev+vaNC64Le+utN5o9b9u2VxUIBPTPfx7Thx/u1ahRo5v9/M0339Bzz/1Zq1atMSx0SVzxAgAA/8Jv7XX2ox9CsF+14Uto7r03V88++7QWLLhDgYDk8TTp29/+joqKHmmxbUREhB54YJmKix9SQ8MZ9enTVw88sEySNHNmtgoLl+rllzfqhhtubPa8xsYGzZkzSx5Pk3JyFqlv3+Yf6r5mzR/U1NSg++//RXAsNzdfw4aNaP+Bf4UlcK7v+emC+Mqg7od+Gs+onp72hsm563jrG16g1GsuVpS1634VCeeo8eipsczo5z//eVD9+w8J6RxdidUapoKCX2nMmO8qPT3zgvf3r/274K8MAgAAgDG41QgAAHqURYuWdtrcXPECAKBHsygQ6LpLArqyjqzWIngBANCDRUT00uefH5fX6+lQkOipAoGA3O5Tsloj2vU8bjUCANCDXXSRXS7XSZ04US2/39fZ5YRcWFiY/H5jrvBZrRG66CJ7+55jyMwAAKBbslgsio2NU2xsXOsbfw109jtvudUIAABgEoIXAACASQheAAAAJiF4AQAAmITgBQAAYBKCFwAAgEkIXgAAACYheAEAAJiE4AUAAGCSVj+5/vnnn9dTTz0VfHz48GFNmjRJ48eP17Jly9TY2Ki0tDQtXLhQkrRv3z7l5+fL5XIpMTFRBQUFslqtOnr0qHJyclRXV6dLL71URUVFio6ODt2RAQAAdDGtXvG69dZbtWHDBm3YsEFFRUXq16+ffvrTnyovL0+lpaWqqKjQ3r17tX37dklSTk6OFi9erM2bNysQCKisrEySVFBQoBkzZsjpdGrkyJEqLS0N7ZEBAAB0Me261bh06VItXLhQhw4d0pAhQzRo0CBZrVZlZmbK6XTqyJEjamho0OjRoyVJWVlZcjqd8ng82r17t1JSUpqNAwAA9CRt/pLsyspKNTQ0KC0tTZs2bZLd/n/fxu1wOFRdXa2amppm43a7XdXV1aqvr1dMTIysVmuz8fbo1y+mXdt3lN0ea8o8PQX9NJ4RPa2ub1J0dKQB1Zxfr1422S+KCPk8F4Jz1Hj01Fj003id2dM2B69nn31Wt912myQpEAi0+LnFYmn3eHvU1bnk97fcj5E6+xvLv27op/GM6mmDN0xud6MBFbUyT4NHtbWhn6ejOEeNR0+NRT+NF+qehoVZznuxqE23GpuamrR7926NGzdOkpSQkKDjx48Hf15TUyOHw9FivLa2Vg6HQ/Hx8XK5XPL5fM3GAQAAepI2Ba9//OMfuuSSSxQVFSVJGjVqlPbv36+DBw/K5/Np06ZNSkpK0sCBAxUZGamqqipJUnl5uZKSkmSz2ZSYmKiKiopm4wAAAD1Jm241Hjp0SP379w8+joyM1PLlyzV//nw1NjYqOTlZqampkqSioiLl5+fL7XZrxIgRys7OliQtWbJEubm5WrVqlQYMGKDi4uIQHA4AAEDXZQmcawFWF8Qar+6HfhrPqJ6e9obJuet46xteoNRrLlaU1R/yeTqKc9R49NRY9NN43WKNFwAAAC4cwQsAAMAkBC8AAACTELwAAABMQvACAAAwCcELAADAJAQvAAAAkxC8AAAATELwAgAAMAnBCwAAwCQELwAAAJMQvAAAAExC8AIAADAJwQsAAMAkBC8AAACTELwAAABMQvACAAAwCcELAADAJAQvAAAAkxC8AAAATELwAgAAMIm1swsAAPQsvS2NCvM2hHwev7WXzgQiQz4P0B5tCl7btm3To48+qtOnT+v6669Xfn6+KisrtWzZMjU2NiotLU0LFy6UJO3bt0/5+flyuVxKTExUQUGBrFarjh49qpycHNXV1enSSy9VUVGRoqOjQ3pwAICuJ8zboDPvbQn5PL1HT5DCCV7oWlq91Xjo0CEtWbJEpaWleumll/Thhx9q+/btysvLU2lpqSoqKrR3715t375dkpSTk6PFixdr8+bNCgQCKisrkyQVFBRoxowZcjqdGjlypEpLS0N7ZAAAAF1Mq8Hr1VdfVXp6uvr37y+bzaaSkhL17t1bQ4YM0aBBg2S1WpWZmSmn06kjR46ooaFBo0ePliRlZWXJ6XTK4/Fo9+7dSklJaTYOAADQk7R6q/HgwYOy2WyaM2eOamtrddNNN+mKK66Q3W4PbuNwOFRdXa2amppm43a7XdXV1aqvr1dMTIysVmuz8fbo1y+mXdt3lN0ea8o8PQX9NJ4RPa2ub1J0dOhvwfTqZZP9ooiQz3MhOEeN11pPfZ+fliUq9OdfRC+bouK6/+vLOWq8zuxpq8HL5/Pp3Xff1dq1axUVFaWf/exn6t27d4vtLBaLAoFAu8bbo67OJb+/5X6MZLfHqrb2i5DO0ZPQT+MZ1dMGb5jc7kYDKmplngaPamtDP09HcY4ary09jfZ5dOZ06M+LQINH7m7++nKOGi/UPQ0Ls5z3YlGrweviiy/W2LFjFR8fL0n6wQ9+IKfTqfDw8OA2NTU1cjgcSkhI0PHjx4PjtbW1cjgcio+Pl8vlks/nU3h4eHAcAACgJ2l1jddNN92kHTt26NSpU/L5fHrrrbeUmpqq/fv36+DBg/L5fNq0aZOSkpI0cOBARUZGqqqqSpJUXl6upKQk2Ww2JSYmqqKiotk4AABAT9LqFa9Ro0bpJz/5iWbMmCGPx6Pvf//7mj59ui677DLNnz9fjY2NSk5OVmpqqiSpqKhI+fn5crvdGjFihLKzsyVJS5YsUW5urlatWqUBAwaouLg4tEcGAADQxVgC51qA1QWxxqv7oZ/GM6qnp71hcu463vqGFyj1mosVZfWHfJ6O4hw1XtvWeJ007XO83OF9Qz5PKHGOGq+z13jxlUEAAAAmIXgBAACYhOAFAABgEoIXAACASQheAAAAJiF4AQAAmITgBQAAYBKCFwAAgEkIXgAAACYheAEAAJiE4AUAAGASghcAAIBJCF4AAAAmIXgBAACYhOAFAABgEoIXAACASQheAAAAJiF4AQAAmITgBQAAYBKCFwAAgEkIXgAAACYheAEAAJjE2paNsrOzVVdXJ6v17OYPPPCAPvvsM61atUoej0ezZ8/WzJkzJUmVlZVatmyZGhsblZaWpoULF0qS9u3bp/z8fLlcLiUmJqqgoCC4PwAAgJ6g1StegUBAn376qTZs2BD8r3///iopKdEzzzyjDRs26LnnntPHH3+shoYG5eXlqbS0VBUVFdq7d6+2b98uScrJydHixYu1efNmBQIBlZWVhfzgAAAAupJWg9enn34qi8Win/70p7r55pv11FNPqbKyUtddd53i4uIUFRWllJQUOZ1O7dmzR0OGDNGgQYNktVqVmZkpp9OpI0eOqKGhQaNHj5YkZWVlyel0hvzgAAAAupJW7/WdOnVKY8eO1dKlS9XQ0KDs7GylpaXJbrcHt3E4HNqzZ49qampajFdXV7cYt9vtqq6ubleh/frFtGv7jrLbY02Zp6egn8YzoqfV9U2Kjo40oJrz69XLJvtFESGf50JwjhqvtZ76Pj8tS1Toz7+IXjZFxXX/15dz1Hid2dNWg9eYMWM0ZswYSVJUVJSmTp2qZcuW6c4772y2ncViUSAQaPH88423R12dS35/y/0YyW6PVW3tFyGdoyehn8YzqqcN3jC53Y0GVNTKPA0e1daGfp6O4hw1Xlt6Gu3z6Mzp0J8XgQaP3N389eUcNV6oexoWZjnvxaJWbzW+++672rlzZ/BxIBDQwIEDdfz48eBYTU2NHA6HEhIS2jReW1srh8PR7oMBAADozloNXl988YUeeughNTY2yuVyaf369frNb36jnTt36sSJEzpz5oy2bNmipKQkjRo1Svv379fBgwfl8/m0adMmJSUlaeDAgYqMjFRVVZUkqby8XElJSSE/OAAAgK6k1VuNN910k95//31NnjxZfr9fM2bM0He/+10tXLhQ2dnZ8ng8mjp1qq688kpJ0vLlyzV//nw1NjYqOTlZqampkqSioiLl5+fL7XZrxIgRys7ODu2RAQAAdDGWwLkWYHVBrPHqfuin8Yzq6WlvmJy7jre+4QVKveZiRVn9IZ+nozhHjde2NV4ndea9LSGvpffoCXKH9w35PKHEOWq8Lr/GCwAAAMYgeAEAAJiE4AUAAGASghcAAIBJ+JZqoAfqE96gpMu8pszjVdf+5HoAMBPBC+iBwn0Nqns79N+XOnDiZHmtBC8A+BK3GgEAAExC8AIAADAJwQsAAMAkBC8AAACTELwAAABMQvACAAAwCcELAADAJAQvAAAAkxC8AAAATELwAgAAMAnBCwAAwCQELwAAAJMQvAAAAExC8AIAADAJwQsAAMAkBC8AAACTtDl4rVixQrm5uZKkffv2acqUKUpJSdGiRYvk9XolSUePHtXMmTOVmpqqefPmye12S5JOnTqluXPnKi0tTTNnzlRtbW0IDgUAAKBra1Pw2rlzp9avXx98nJOTo8WLF2vz5s0KBAIqKyuTJBUUFGjGjBlyOp0aOXKkSktLJUkPP/ywEhMT9corr+jWW29VYWFhCA4FAACga2s1eH3++ecqKSnRnXfeKUk6clibf3gAABLGSURBVOSIGhoaNHr0aElSVlaWnE6nPB6Pdu/erZSUlGbjkvTGG28oMzNTkjRx4kS9+eab8ng8ITkgAACArqrV4PWrX/1KCxcuVJ8+fSRJNTU1stvtwZ/b7XZVV1ervr5eMTExslqtzcb/9TlWq1UxMTE6ceKE4QcDAADQlVnP98Pnn39eAwYM0NixY7Vu3TpJUiAQaLGdxWL5t+P/TlhY+9b19+sX067tO8pujzVlnp6CfhrPiJ66a1yy2c77198Q4eFhXf4c6Or1dUet9dT3+WlZoiJDXkdEL5ui4rr/68s5arzO7Ol5/+WtqKhQbW2tJk2apJMnT+r06dOyWCw6fvx4cJva2lo5HA7Fx8fL5XLJ5/MpPDw8OC5JDodDx48fV//+/eX1euVyuRQXF9euQuvqXPL7W4Y7I9ntsaqt/SKkc/Qk9NN4RvU00ueXx+M1oKLz8/n8Xfoc4Bw1Xlt6Gu3z6MzpxpDXEmjwyN3NX1/OUeOFuqdhYZbzXiw672WnJ554Qps2bdKGDRu0YMECjRs3TsuWLVNkZKSqqqokSeXl5UpKSpLNZlNiYqIqKiqajUtScnKyysvLJZ0Nc4mJibLZbIYcIAAAQHfRoXsNRUVFys/Pl9vt1ogRI5SdnS1JWrJkiXJzc7Vq1SoNGDBAxcXFkqR77rlHubm5ysjIUGxsrIqKiow7AgAAgG6izcErKytLWVlZkqRhw4bphRdeaLHNwIEDtXbt2hbjcXFxWr169QWUCQAA0P3xyfUAAAAmIXgBAACYhOAFAABgEoIXAACASQheAAAAJiF4AQAAmITgBQAAYBKCFwAAgEkIXgAAACYheAEAAJiE4AUAAGASghcAAIBJCF4AAAAmIXgBAACYhOAFAABgEoIXAACASQheAAAAJiF4AQAAmITgBQAAYBKCFwAAgEkIXgAAACYheAEAAJiE4AUAAGCSNgWvlStXKj09XRkZGXriiSckSZWVlcrMzNSECRNUUlIS3Hbfvn2aMmWKUlJStGjRInm9XknS0aNHNXPmTKWmpmrevHlyu90hOBwAAICuq9XgtWvXLr399tvauHGjXnzxRa1du1Z///vflZeXp9LSUlVUVGjv3r3avn27JCknJ0eLFy/W5s2bFQgEVFZWJkkqKCjQjBkz5HQ6NXLkSJWWlob2yAAAALqYVoPXNddcoyeffFJWq1V1dXXy+Xw6deqUhgwZokGDBslqtSozM1NOp1NHjhxRQ0ODRo8eLUnKysqS0+mUx+PR7t27lZKS0mwcAACgJ7G2ZSObzaZHHnlEjz/+uFJTU1VTUyO73R78ucPhUHV1dYtxu92u6upq1dfXKyYmRlartdl4e/TrF9Ou7TvKbo81ZZ6egn4az4ieumtcstna9Nf/goSHh3X5c6Cr19cdtdZT3+enZYmKDHkdEb1siorr/q8v56jxOrOnbf6Xd8GCBfrpT3+qO++8UwcOHGjxc4vFokAg0K7x9qirc8nvb7kfI9ntsaqt/SKkc/Qk9NN4RvU00ueXx+M1oKLz8/n8Xfoc4Bw1Xlt6Gu3z6MzpxpDXEmjwyN3NX1/OUeOFuqdhYZbzXixq9VbjJ598on379kmSevfurQkTJuidd97R8ePHg9vU1NTI4XAoISGh2Xhtba0cDofi4+Plcrnk8/majQMAAPQkrQavw4cPKz8/X01NTWpqatLWrVs1bdo07d+/XwcPHpTP59OmTZuUlJSkgQMHKjIyUlVVVZKk8vJyJSUlyWazKTExURUVFc3GAQAAepJWbzUmJyfr/fff1+TJkxUeHq4JEyYoIyND8fHxmj9/vhobG5WcnKzU1FRJUlFRkfLz8+V2uzVixAhlZ2dLkpYsWaLc3FytWrVKAwYMUHFxcWiPDAAAoIuxBM61AKsLYo1X90M/jWfYGi/vKe3ZVG5ARed35cTJarT2Cfk8HcU5ary2rfE6qTPvbQl5Lb1HT5A7vG/I5wklzlHjdfk1XgAAADAGwQsAAMAkBC8AAACTELwAAABMQvACAAAwCcELAADAJAQvAAAAkxC8AAAATELwAgAAMAnBCwAAwCQELwAAAJMQvAAAAExC8AIAADAJwQsAAMAkBC8AAACTELwAAABMQvACAAAwCcELAADAJAQvAAAAkxC8AAAATELwAgAAMAnBCwAAwCRtCl6PPvqoMjIylJGRoYceekiSVFlZqczMTE2YMEElJSXBbfft26cpU6YoJSVFixYtktfrlSQdPXpUM2fOVGpqqubNmye32x2CwwEAAOi6Wg1elZWV2rFjh9avX6/y8nJ98MEH2rRpk/Ly8lRaWqqKigrt3btX27dvlyTl5ORo8eLF2rx5swKBgMrKyiRJBQUFmjFjhpxOp0aOHKnS0tLQHhkAAEAX02rwstvtys3NVUREhGw2m775zW/qwIEDGjJkiAYNGiSr1arMzEw5nU4dOXJEDQ0NGj16tCQpKytLTqdTHo9Hu3fvVkpKSrNxAACAnsTa2gZXXHFF8M8HDhxQRUWFZs2aJbvdHhx3OByqrq5WTU1Ns3G73a7q6mrV19crJiZGVqu12Xh79OsX067tO8pujzVlnp6CfhrPiJ66a1yy2Vr963/BwsPDuvw50NXr645a66nv89OyREWGvI6IXjZFxXX/15dz1Hid2dM2/8v70Ucf6Y477tD9998vq9Wq/fv3N/u5xWJRIBBo8bzzjbdHXZ1Lfn/L/RjJbo9Vbe0XIZ2jJ6GfxjOqp5E+vzwerwEVnZ/P5+/S5wDnqPHa0tNon0dnTjeGvJZAg0fubv76co4aL9Q9DQuznPdiUZsW11dVVWn27Nm69957dcsttyghIUHHjx8P/rympkYOh6PFeG1trRwOh+Lj4+VyueTz+ZqNAwAA9CStBq9jx47prrvuUlFRkTIyMiRJo0aN0v79+3Xw4EH5fD5t2rRJSUlJGjhwoCIjI1VVVSVJKi8vV1JSkmw2mxITE1VRUdFsHAAAoCdp9VbjmjVr1NjYqOXLlwfHpk2bpuXLl2v+/PlqbGxUcnKyUlNTJUlFRUXKz8+X2+3WiBEjlJ2dLUlasmSJcnNztWrVKg0YMEDFxcUhOiQAAICuyRI41wKsLog1Xt0P/TSeYWu8vKe0Z1O5ARWd35UTJ6vR2ifk83QU56jx2rbG66TOvLcl5LX0Hj1B7vC+IZ8nlDhHjdct1ngBAADgwhG8AAAATELwAgAAMAnBCwAAwCQELwAAAJMQvAAAAExC8AIAADAJwQsAAMAkBC8AAACTELwAAABMQvACAAAwCcELAADAJAQvAAAAkxC8AAAATELwAgAAMAnBCwAAwCQELwAAAJMQvAAAAExC8AIAADAJwQsAAMAkBC8AAACTELwAAABM0ubg5XK5NHHiRB0+fFiSVFlZqczMTE2YMEElJSXB7fbt26cpU6YoJSVFixYtktfrlSQdPXpUM2fOVGpqqubNmye3223woQAAAHRtbQpe77//vqZPn64DBw5IkhoaGpSXl6fS0lJVVFRo79692r59uyQpJydHixcv1ubNmxUIBFRWViZJKigo0IwZM+R0OjVy5EiVlpaG5ogAAAC6qDYFr7KyMi1ZskQOh0OStGfPHg0ZMkSDBg2S1WpVZmamnE6njhw5ooaGBo0ePVqSlJWVJafTKY/Ho927dyslJaXZOAAAQE9ibctGhYWFzR7X1NTIbrcHHzscDlVXV7cYt9vtqq6uVn19vWJiYmS1WpuNt0e/fjHt2r6j7PZYU+bpKein8YzoqbvGJZutTX/9L0h4eFiXPwe6en3dUWs99X1+WpaoyJDXEdHLpqi47v/6co4arzN72qF/eQOBQIsxi8XS7vH2qKtzye9vuR8j2e2xqq39IqRz9CT003hG9TTS55fH4zWgovPz+fxd+hzgHDVeW3oa7fPozOnGkNcSaPDI3c1fX85R44W6p2FhlvNeLOrQuxoTEhJ0/Pjx4OOamho5HI4W47W1tXI4HIqPj5fL5ZLP52s2DgAA0JN0KHiNGjVK+/fv18GDB+Xz+bRp0yYlJSVp4MCBioyMVFVVlSSpvLxcSUlJstlsSkxMVEVFRbNxAACAnqRDtxojIyO1fPlyzZ8/X42NjUpOTlZqaqokqaioSPn5+XK73RoxYoSys7MlSUuWLFFubq5WrVqlAQMGqLi42LijAAAA6AbaFby2bdsW/PPYsWO1cePGFtsMGzZML7zwQovxgQMHau3atR0oEQAA4OuBT64HAAAwCcELAADAJAQvAAAAkxC8AAAATELwAgAAMAnBCwAAwCQELwAAAJMQvAAAAExC8AIAADAJwQsAAMAkBC8AAACTELwAAABMQvACAAAwCcELAADAJAQvAAAAkxC8AAAATGLt7AIAAD2LXxZ5/JaQzxOp0M8BtBfBCwBgKn9A+vjI6ZDPc+WYkE8BtBu3GgEAAExC8AIAADAJwQsAAMAkBC8AAACTmBq8XnrpJaWnp+uHP/yhnn76aTOnBgAA6HSmvauxurpaJSUlWrdunSIiIjRt2jRde+21uvzyy80qAQAAoFOZFrwqKyt13XXXKS4uTpKUkpIip9Opu+++u03PDwsz5/NYzJqnp6CfxjOip5bwcEXGxBpQTevzdPVzoKvX1x211lPOv/b5OhxDVxPKnra2b9OCV01Njex2e/Cxw+HQnj172vz8iy6KDkVZLfTrF2PKPD0F/TSeMT2N0dXTsw3YT/fHOWq81nvK+dcenKPG68yemrbGKxAItBizWEjxAACg5zAteCUkJOj48ePBxzU1NXI4HGZNDwAA0OlMC17f+973tHPnTp04cUJnzpzRli1blJSUZNb0AAAAnc60NV4JCQlauHChsrOz5fF4NHXqVF155ZVmTQ8AANDpLIFzLb4CAACA4fjkegAAAJMQvAAAAExC8AIAADAJwQsAAMAkBC8AAACTELy+4t1331VWVpYyMzN155136uTJk51dUrdXVVWlKVOmaNKkSfrxj3+sI0eOdHZJXwsrV67U7373u84uo1t76aWXlJ6erh/+8Id6+umnO7ucrwWXy6WJEyfq8OHDnV3K18Kjjz6qjIwMZWRk6KGHHurscrq9lStXKj09XRkZGXriiSc6rQ6C11f88pe/1EMPPaSXXnpJl19+udasWdPZJXV7OTk5Kiws1IYNG5SZmakHH3yws0vq1r744gvl5eXp8ccf7+xSurXq6mqVlJTomWee0YYNG/Tcc8/p448/7uyyurX3339f06dP14EDBzq7lK+FyspK7dixQ+vXr1d5ebk++OADvfrqq51dVre1a9cuvf3229q4caNefPFFrV27Vp9++mmn1ELw+oqKigpdfvnl8ng8qq6uVp8+fTq7pG6tqalJ99xzj4YNGyZJGjp0qI4dO9bJVXVvW7du1SWXXKLbbruts0vp1iorK3XdddcpLi5OUVFRSklJkdPp7OyyurWysjItWbKEr4IziN1uV25uriIiImSz2fTNb35TR48e7eyyuq1rrrlGTz75pKxWq+rq6uTz+RQVFdUptRC8vsJms+kf//iHkpOT9c477ygjI6OzS+rWIiIiNGnSJEmS3+/Xo48+qvHjx3dyVd3b5MmTNXfuXIWHh3d2Kd1aTU2N7HZ78LHD4VB1dXUnVtT9FRYWKjExsbPL+Nq44oorNHr0aEnSgQMHVFFRoeTk5E6uqnuz2Wx65JFHlJGRobFjxyohIaFT6uiRweuVV15RUlJSs/9mz54t6exVmcrKSv3sZz/TwoULO7fQbuR8PW1qatJ9990nr9erO+64o3ML7SbO109cuHN9YYfFYumESoDz++ijj3T77bfr/vvv1yWXXNLZ5XR7CxYs0M6dO3Xs2DGVlZV1Sg2mfVdjV5KWlqa0tLRmY42NjXrttdeCV2RuvvlmrVixojPK65bO1VNJcrvdmjdvnuLi4rRq1SrZbLZOqK77+Xf9hDESEhL07rvvBh/X1NRwiwxdTlVVlRYsWKC8vDzuwFygTz75RE1NTRo+fLh69+6tCRMm6B//+Een1NIjr3idi9VqVUFBgfbu3Svp7BWHq666qpOr6v5ycnI0ZMgQrVy5UhEREZ1dDiBJ+t73vqedO3fqxIkTOnPmjLZs2aKkpKTOLgsIOnbsmO666y4VFRURugxw+PBh5efnq6mpSU1NTdq6dau++93vdkotPfKK17mEh4erpKREv/rVr+Tz+ZSQkKDCwsLOLqtb+/DDD7V161Zdfvnlmjx5sqSza2n+53/+p5MrQ0+XkJCghQsXKjs7Wx6PR1OnTtWVV17Z2WUBQWvWrFFjY6OWL18eHJs2bZqmT5/eiVV1X8nJyXr//fc1efJkhYeHa8KECZ0WaC2Bcy12AAAAgOG41QgAAGASghcAAIBJCF4AAAAmIXgBAACYhOAFAABgEoIXAACASQheAAAAJvn//xZDuavyPk0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for col in pc1_features:\n",
    "    bins = np.linspace(-3, 3, 20)\n",
    "    fig, ax = plt.subplots(1,1, figsize=(10,5))\n",
    "    X_std.loc[left_group, col].hist(ax=ax, bins=bins, color='C0', alpha=0.5, label='Group 1')\n",
    "    X_std.loc[~left_group, col].hist(ax=ax, bins=bins, color='C1', alpha=0.5, label='Group 2')\n",
    "    plt.legend(loc='best')\n",
    "    plt.title(col)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the most significant difference is between the longitute and latitude. Another interesting observation is that in the first group (blue) the rooms per household seem to be slightly lower and the bedrooms per room slightly higher. We will discuss further below. First we want to look at the longitude and latitude distribution of the two groups. First we make a hexplot to see the hotspots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Group 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Group 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "print(\"Group 1\")\n",
    "sns.jointplot(\n",
    "    kind='hex',\n",
    "    x=\"longitude\",\n",
    "    y=\"latitude\",\n",
    "    cmap='magma',\n",
    "\n",
    "    data=X.loc[left_group],\n",
    ")\n",
    "plt.show()\n",
    "\n",
    "print(\"Group 2\")\n",
    "sns.jointplot(\n",
    "    kind='hex',\n",
    "    x=\"longitude\",\n",
    "    y=\"latitude\",\n",
    "    cmap='magma',\n",
    "    data=X.loc[~left_group],\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that in the first group there are mainly two hotspots while in the second group the hotspots seem to be further distributed. Recall that we can plot the longitude and latitude on top of a map. Let's investigate what these hot regions correspond to."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ref - www.kaggle.com/camnugent/geospatial-feature-engineering-and-visualization/\n",
    "california_img=mpimg.imread('images/california.png')\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12,6))\n",
    "\n",
    "fig = sns.scatterplot(\n",
    "    x=\"longitude\",\n",
    "    y=\"latitude\",\n",
    "    data=X.loc[left_group],\n",
    "    alpha=0.1,\n",
    "    s=1,\n",
    "    color=\"r\",\n",
    "    edgecolor=\"none\", \n",
    "    ax=axes[0]\n",
    ")\n",
    "\n",
    "axes[0].imshow(california_img, extent=[-124.55, -113.80, 32.45, 42.05], alpha=0.5)\n",
    "axes[0].set_title(\"Group 1\")\n",
    "fig = sns.scatterplot(\n",
    "    x=\"longitude\",\n",
    "    y=\"latitude\",\n",
    "    data=X.loc[~left_group],\n",
    "    alpha=0.05,\n",
    "    s=3,\n",
    "    color=\"r\",\n",
    "    edgecolor=\"none\",\n",
    "    ax=axes[1]\n",
    "\n",
    ")\n",
    "axes[1].imshow(california_img, extent=[-124.55, -113.80, 32.45, 42.05], alpha=0.5)\n",
    "axes[1].set_title(\"Group 2\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing to a satellite image of California (see below) we see that the two hotspots in the first group correspond to Los Angeles and San Diego. The second group mainly includes San Francisco, the Silicon Valley, Sacramento, Fresno and Bakersfield. What is interesting to observe is that the second group also includes Riverside which is just next to Los Angeles. That means that the second principal component is not just the diagonal along the coast but specifically encodes Los Angeles and San Diege. If one wanted to build a classifier to determine whether a house is in Los Angeles or an other region of California one would only need to look at the second principle component of the dataset.\n",
    "\n",
    "Circling back the observation about the rooms per households. It seems that in Los Angeles the appartments have slightly fewer rooms than the rest of California but a similar amount of bedrooms, hence the higher number of bedrooms per rooms. In other words in Los Angeles you would get less extra rooms per household.\n",
    "\n",
    "<div style=\"text-align: center\">\n",
    "<img src='images/california_gmaps.png' width='800'>\n",
    "    <p style=\"text-align: center;\"> <b>Figure:</b> Satellite image of California from Google Maps. </p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can also look at the median value of the houses in the two groups:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins=50\n",
    "fig, ax = plt.subplots(1,1, figsize=(10,5))\n",
    "y.loc[left_group].hist(ax=ax, bins=bins, color='C0', alpha=0.5, label='Group 1')\n",
    "y.loc[~left_group].hist(ax=ax, bins=bins, color='C1', alpha=0.5, label='Group 2')\n",
    "plt.legend(loc='best')\n",
    "plt.title('median value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One observes that the median value is higher for the first group (Los Angeles & San Diego). However, the long tail in both groups is quite similar. So living seems to be more expensive for low and medium income people while for the upper class the prices seem to be comparable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compressed model\n",
    "Now we want to use PCA to build a model that is more compact than the model that utilizes all features. We add one principal component after the other and measure how well a Random Forest performs with this subset of features. We do this in our standard cross-validation loop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 17/17 [03:17<00:00, 11.60s/it]\n"
     ]
    }
   ],
   "source": [
    "rmse_valid =[]\n",
    "for i in tqdm(range(1, 18)):\n",
    "    rf = RandomForestRegressor(n_estimators=100, max_features='sqrt', n_jobs=-1, random_state=42)\n",
    "                             \n",
    "    results = cross_validate(rf, X_pca[:, :i], y, cv=5,\n",
    "                             return_train_score=True,\n",
    "                             scoring='neg_root_mean_squared_error')\n",
    "    rmse_valid.append(-np.mean(results[\"test_score\"]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As an additional baseline we also create a median regressor:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rmse_median = rmse(y, [np.median(y)]*len(y))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can plot the performances with the full Random Forest and the median regresssor as baselines for all subsets of components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'RMSE')"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lineplot = sns.lineplot(np.arange(len(rmse_valid))+1 , rmse_valid, label='pca')\n",
    "lineplot.axhline(rmse_median, c='y', linestyle='--', label='median')\n",
    "lineplot.axhline(rmse_full, c='r', linestyle='--', label='full model')\n",
    "plt.legend(loc='best')\n",
    "plt.xlabel('number of PCA components')\n",
    "plt.ylabel('RMSE')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So we can see that already with 4-7 principal components we get results that are quite close to the full model. As mentioned previously this has two advantages:\n",
    "1. Visualising 4 components is still hard but feasable compared to 17\n",
    "2. Training a Random Forest with half the features is twice as fast for training and inference.\n",
    "\n",
    "Looking at the graph we see that there are several steep steps. It seems that adding these components improved the performance significantly. By taking the components with the biggest steps we can try to build a better selection of features:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "features = [0,1,3,6,10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rf = RandomForestRegressor(n_estimators=100, max_features='sqrt', n_jobs=-1, random_state=42)\n",
    "                             \n",
    "results = cross_validate(rf, X_pca[:, features], y, cv=5,\n",
    "                         return_train_score=True,\n",
    "                         scoring='neg_root_mean_squared_error')\n",
    "rmse_pca = -np.mean(results[\"test_score\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "64700.242256282574"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmse_pca"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just with 5 of 17 features we get <10% of the model that used all features. This model is 3-4 times faster to train and to make predictions. In practice there are more systematic ways of finding the best subset of features such as *forward* and *backward selection* (see [link](https://www.kdnuggets.com/2018/06/step-forward-feature-selection-python.html))."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 2\n",
    "Make your own selection of principle components (e.g. the first five) and see if you can beat the selection above."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 2: The Mapper algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is topology?\n",
    "Topology is the mathematical field of shapes where one aims at measuring and categorising different bodies. One way to do this is to look at the number of holes an object has. In this regard a coffe mug is equivalent to a donut in the sense that the both have one hole. A deeper understanding of the shape of our dataset can help finding new interesting properties in our dataset. The Mapper algorithm aims at doing just that: within the unstructed datapoints in our dataset it finds links and clusters and helps us visualize them in two dimensional space. This is an exciting research area of the past few years with many applications.\n",
    "\n",
    "<div style=\"text-align: center\">\n",
    "<img src='images/topology_meme.jpg' width='400'>\n",
    "    <p style=\"text-align: center;\"> <b>Figure:</b> A coffee mug is a donut. </p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mapper overview\n",
    "Mapper uses four steps to analyse the topological structure of a dataset. These four steps are:\n",
    "\n",
    "**Filtering/projecting:** The high dimensional data is passed through a function (called the filter function) that transforms the data into a lower dimensional space. An xamples of such transformation is projecting onto an axis ($[x_1, x_2, x_3, \\dots] \\rightarrow [x_1]$). In general this could be any function that takes a vector and produces a vector of lower dimension.\n",
    "\n",
    "**Covering:** Now this lower dimensional space is covered with intervals. It is important that these intervals should overlap a little as we will see when we go from clustering to constructing the network. In two dimensions such a cover could be overlapping square patches. These patches divide the dataset into subsets. \n",
    "\n",
    "**Clustering:** Now we go back to the original space but keep the groupings from the covering. For each subset from the step before we now apply a clustering algorithm and store the clusters.\n",
    "\n",
    "**Constructing the topological network:** Finally, we setup the topological network. To do so we create a node for each cluster we found in the previous step. Since we setup the patches such that they overlap one datapoint can be connected to two\n",
    "clusters. If that is the case we create a link between the two nodes of the cluster.\n",
    "\n",
    "<div style=\"text-align: center\">\n",
    "<img src='images/mapper.png' width='700'>\n",
    "    <p style=\"text-align: center;\"> <b>Figure:</b> Schematic overview of Mapper [1]. </p>\n",
    "</div>\n",
    "\n",
    "[1] Liao, Tianhua & Wei, Yuchen & Luo, Mingjing & Zhao, Guo-Ping & Zhou, Haokui. (2019). tmap: an integrative framework based on topological data analysis for population-scale microbiome stratification and association studies. Genome Biology. 20. 10.1186/s13059-019-1871-4. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Giotto TDA\n",
    "\n",
    "The application of topological methods to data is called topological data analysis (TDA). A Swiss company called [L2F](www.l2f.ch) developed a scikit-learn comaptible library for TDA called `giotto-tda` and Lewis Tunstall is a core contributor. In the following section we will use `giotto-tda` to analyse a small toy dataset and give an some examples of interesting applications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TDA magic\n",
    "from gtda.mapper import (\n",
    "    CubicalCover,\n",
    "    make_mapper_pipeline,\n",
    "    Projection,\n",
    "    plot_static_mapper_graph,\n",
    "    plot_interactive_mapper_graph,\n",
    ")\n",
    "from gtda.mapper.utils.visualization import set_node_sizeref\n",
    "\n",
    "# ML tools\n",
    "from sklearn import datasets\n",
    "from sklearn.cluster import DBSCAN\n",
    "from sklearn.decomposition import PCA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Helper functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_cover(cover, ax, every_n=1):\n",
    "    \"\"\"Plot cover intervals.\"\"\"\n",
    "    x_interval = list([i,j] for i, j in zip(cover._coverers[0].left_limits_,cover._coverers[0].right_limits_))\n",
    "    y_interval = list([i,j] for i, j in zip(cover._coverers[1].left_limits_, cover._coverers[1].right_limits_))\n",
    "            \n",
    "    normalize_interval(x_interval)\n",
    "    normalize_interval(y_interval)\n",
    "    \n",
    "    plot_2d_intervals(x_interval, y_interval, ax, every_n=every_n)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def normalize_interval(interval, x_min=-1.2, x_max=1.2):\n",
    "    \"\"\"Clip all values in interval to x_min and x_max.\"\"\"\n",
    "    for i in range(len(interval)):\n",
    "        interval[i][0] = min(max(interval[i][0], x_min), x_max)\n",
    "        interval[i][1] = min(max(interval[i][1], x_min), x_max)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_2d_intervals(x_intervals, y_intervals, ax, cmap_name='magma', every_n=1):\n",
    "    \"\"\"Plot a set of 2d-intervals with rectangular boxes.\"\"\"\n",
    "    cmap = mpl.cm.get_cmap(cmap_name)\n",
    "\n",
    "    \n",
    "    for i, x_inter in enumerate(x_intervals):\n",
    "        for j, y_inter in enumerate(y_intervals):\n",
    "            if (i+j)%every_n==0:\n",
    "                origin = (x_inter[0], y_inter[0])\n",
    "                width = x_inter[1]-x_inter[0]\n",
    "                height = y_inter[1]-y_inter[0]\n",
    "                #print(origin, width, height)\n",
    "                rect = plt.Rectangle(origin, width, height, facecolor=cmap(np.random.rand()), alpha=0.5, edgecolor=None)\n",
    "                ax.add_patch(rect)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dataset: two circles\n",
    "Our toy dataset consists of two concentric circles. From a topology standpoint these are two separate objects with one hole each. In the end we will see that this is what Mapper produces."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data, _ = datasets.make_circles(n_samples=5000, noise=0.05, factor=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.scatter(data[:,0], data[:,1], c=np.random.rand(data.shape[0]), cmap='magma')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Projection\n",
    "Since we are already in a low dimensional space we do not need to transform the data to a lower dimensional space. Therefore, we project to the existing axis which does not change the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define filter function - can be any scikit-learn transformer\n",
    "filter_func = Projection(columns=[0, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cover\n",
    "Now we need to cover the space of our dataset with little patches. To do so we can use the `CubicalCover` function. We just need to set how many intervals we want per dimension and how much they should overlap. Then we can fit it with the same scikit-learn `fit` interface we already know."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CubicalCover(kind='uniform', n_intervals=10, overlap_frac=0.3)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cover = CubicalCover(n_intervals=10, overlap_frac=0.3)\n",
    "cover.fit(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can plot the patches on top of the dataset to see how they cover the space:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "plt.scatter(data[:,0], data[:,1], c='black', alpha=0.3)\n",
    "plot_cover(cover, ax, every_n=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With so many overlapping patches it is a bit hard to see what is going on. Therefore, we can plot just every other patch to see how the patches actually look like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ldW1a0PN9arV9+v1EzFq2hSzJyIoCMczNz3F4kEStNE0jl8uzv19jNBrhus54PNKIqWIJ3/cYOAOGvo+qaSiyzHDon/Amezf+WM1mnUpl9sTPbDtLvX4AcNOI5IULL3PvmV+4zV0pEHw2EWJLILhLuFY8tVotyuXEl8p1XdrtRCjFcdIZV6vVTnQPbmxcYjgcpttMCMOQnZ0rLCws0ekcIUkSvu+hqirV6h6nTp0BwDRNTHMRz/PSbSfGpP1+nziOWVhYOpFyeuaZp2m327z99pvIskImo3L27FkODw8ZjRKhpSgZstkspdL0de+5XK7gug5PPPEPmJ+fZ2pqikajju8P6RwdMTVVxHEHjIKAvXHkJQpHjEYhlzc20A0DWZJ45NHHyNrZ1AtL13RczwVgenqa9lE7EZm6ke57YmZaKBRwHAffb9LvJ0aiiqLgeS6XNzeYnZnl1ddewXPd1L8rny/Q7XbYvnIF13VSg9a93V00TeP++x+k3++xe/Uq3W4XXddRlAwwIpfL4Xkeg8GAwlSRfKGALMmYhsn09HRqaDo9PU02m0PrN4ii6IZ2GTdKA05MTI9HxI6LtNuJMYFAcD1CbAkEnwDeT23Vtdtfa71wdNRGVVU0TaNa3UNVtfSh+/zzz1EqlVhcXMZ1PdrtFo4zwPM8VDVDoTCVvna9fohl2QwGfVRVQ1VVgiCg3x9gWTb1+iGnTp1O11cUheFwSLPVYDj0yeXy1OuHDAYOrVYzXW/i3/R7v/e7bG1tomkap0+fZXV1jStXrlAoFPnqV8/jeR6OM2Bubp7f+73fBeLUDuLBBx/mwoWXAPB9j06nQ6fToVAoIMsytdoe/X6fpaVlJEmi2+nQ7/cYjUaoaoZSqYydtdmvVVlbO3fMMkLDdR2mKxViYhxnQP3wgEplFscZkFEyqZmpJJns7+9jWTa2naXT6XDUSYTe7OxcktqTQFW11L9L0zQG/QGyLGGaFqqq0ekkNVaGYeJ5HpXKDFd3d3BdF03TCMMRYRhSqczSajVwXS+9R1zXwbJtYjjR1XjmzCqHnQPq9QMkSUbTNP74j7/NlStXuP/+B1laWr6uJut2Jqa3E2MCgeB6lN/6rd/6rY/7IG6G6w6J49uv92nGtnUcZ3j7FW9BJghwN3Y/pCO6ezDXlgmvqYf5MDl+7TQ1Jg6ObrPFjZkIJUmSME2TIAio1w/JZrNpGu927OxsI0kS+njQ8SS6Uq/X8TwXRVEIgiHNZpNCYYogSOwMBoM+nc4RmUwGw9AZDv1xJEVD13WGwyGHh4csLCzS6XTQNA1JkpDHKapcLs/Vqzs4jjOOmsXpcOh8cYUf/M2PefHFH9NutymVphgM+vR6PWZn58jl8vR6Pf7yL/+cM2fOsLS0QhzH1OuHxHFEGI4wDAPbtslms/zgB3/NK6+8TK/Xod1ucfHi23S7Xb72tZ/D8zxCP+LCD9+kWCyhZFSicEQQBOnx+r6PLMtE0YgwjJOarpVlstkcEhKO67Awv0C5XGZpaZnZ2bkk+rSzjWmYLCwsEYZJ518ul2N19R5GYUijkXQgxkAURURRSC6XS0b3jEYoSgY1o9Jut5iaKiaRwaGPP/QZ9Pv4vk8mkyEIhth2FkmSyaiZcRelSbvVIgiGqKpKYWoKTU1qzAqFApIkEYURpVIJWZaRZJler8fB4QG7u1f52f/lPJ9/8gkqlRnW19/GtrPs7e0yHAY0GnVKpVJ6TI1Gg3Pn7iWXyycisdGg0Tgkn5/iy1/+ahr5ymaz/PSnryNJEqqq0u/36HY7fPnLX2W6aBM7d25moqpmCILwjr3+nUC2ZxiGyke2P2UY0F+vfmT7ezdomvKpum65c4tEmvqetklqJ2/+vPnAka1+v89TTz3Ff/pP/4mlpaUTy9566y2+9a1v0e/3+fznP89v//Zvk8mIYJpAcJzb1Va9G25kvZDPF9KuOgDX9SiXy9h2Fs/zEqd0ySeOwTBMGo0WYRiRy2VpNpsoSgbLslhZOYWiKOi6Po4IqYxGIyBJKRWLJSzLwnEGuK7Do48+ljz4Jbhw4Sfjbr4VZFlhc3NrHI1KOuIuXHgZ0zS5cmWL0SjENC2mpgoMh0PW1u7hy1/+Gs1mk+9+909oNhtIUlIU77ouqqpy4cJLrK6u8q//9a/y+ouvkcvlMQwzrZo/PKiNo3A98vkCiqLg+++M2Ll8+TKrq6vEcczu7u51XleGabF6do0wDGm324RRhH1skLfnOuzt7WLbNvnCFIqcRPXy+SkODw4YjUaYpkk2mzQCjEYjMpkMnu8hITEYDMhkVFRVRZJkOp0jstlcksZ0HBr1Orl8HuKYTCZDHEXEksTMzOyJGZTrl9bp9bo0m03UjErWzuJ6LpuXN1Asieeff5bNzcsEQcD29hXOnl0lk1HZ3LycRPeuSQPeysT01o7yH+yLo0Bwt/KBlM+rr77Kt771La5cuXLD5b/xG7/Bv//3/57HHnuM3/zN3+Q73/kOv/zLv/xBdikQfCq5VZrwRkJJ0zQGg5t3sV2LZVkMh8MTkbDhcEipVKZUKhMEAdXqHvq45sg0DYZDnyAIiKKIRiOJRkxPTyPLSWTq7NnVY2NvLmHbWarVPVzXZTQKiOOYKIoplUpIksTS0jLyOLJSKpVwI5nZ2TmKxRIgMRz65PN5NjYusb5+kWazzo9//Lf0+w6DwQDbzhIEiRFnJqNSKpXp9bpsbl7C910cZ0Aul0uMRT0P13XJZm3+9E+/SxRF3LN8H2EYjtOhPqNRgOM4qKqKZdmoqorrOgTBMPW18j2P7e1twlFSC3Wt15XrDJBkmf39fdSMiqEbBKOAzcsbOIMBhcIUc/MLdI7a1A8Pma5UKBSm6HTaGIaBqiaRykajTi5XIBgFBKMAQzeSdGRGHRe5hxiGjue5BMEw6aDc3YEYZioztFpNWq0WhUKBpeVlzp5ZPSHEXWfAoN9Hzahk1OQbuWmYRHHMc889yw9/+NfMzMxRKEyhqipvvfUm9933AL6f1Ne91zTgh+Uo/07DgINpWbc0dBUIPs18IOuH73znO/y7f/fvmJmZuW7Z3t4enufx2GOPAfDP/tk/45lnnvkguxMIPpXczk5hIpSOMxwOsY5FUG73+q7rsrm5wfb2lXGxto/v+8zNzTM3N5+m0EajYJxakzl9+iyZTAbX9dA0lUqlMhZjEpZlsz/2epoMtE5SXQGKImNZFv1+H9/36PW6NBp1trevjMWOw9zcPJ7nYZomvu+P05MdBoM+zz33l1SreyhKhk6nQ7vdZHl5BU3TGI0CNE3jzJkzPPXUv8I0Lfb29igWy+i6juM4hGGEYRj0+710yHalMotpWXQ6Hfb3awTBEGkc3XJdD9u2yeXzaJpGPp9PuxB1XcdznbH/1wztdpv19XXeeutNnnvuWTzfp1GvvyNiJAkJiTiOk1oqXWdubo58vkB5ehpd05BlKelOVDVGoxGdzhGDwYCYmHK5TBxF6LqGrCjcf/8DzM7OEYYhkiSzuLjE1FSRo84Rhm5Qqcxw1DlC1w3m5ucxTTOZ0zjos35pnVdfvcD6pXWQJAaOcyJzMBoladjXXnuFSmUGSZKQJJnl5VNIksTm5sY4ldul2+1c1+l5J+j1euPjfoVXX3uVN954nVEQYNn2eNTSra1JBIJPKx8osvU7v/M7N112eHhIpfLON6VKpcLBgehWEXz2uF2acG5uno2NS0AS0RqODSuPz9W7GccL40+dOkO9fsj29hVWVk6xtnbPsSHI9/DWWz9N/a9KpTKKIjM/v4gkyUxNTRFFEfX6AZ7nU6lUThSzAxwc7DMcDscF8F7iZ6UkURmQ6Pf77O3tsrq6Ri6XY3bWolKpcPnyBpqmE8eMbQtCOp0u3/3un5DJJK/RajW5//6H8DyXwWDA0tJSGjl56aUXWV+/SLvdZjQKyGazKEpSpJ/N5shmE48v27ZPFPZHUcT8/CKWZdIfDBgM+riuh2UZOI7HYNBnqlhMU6Kbm5dpNBrYdlLo7roOe7u7hOGI8nQF4pjRaJRExgxz/L7BNC3mFxZot9p0e100TWPl1BkO9mtj/64iYTii1WyytLTEF77wJXK5HOuX1hkFAaVyGUg6OifDqyfjg2rV6jtCL47xfI8ojnnt1VdYXl5JI3HOwEnsIDw3nesYBENM0ySOJe6//0FeeSXxycpmc0xPV3jjjdcxTYMoivjFX/zf7rgp6fF71bJtru5s43ke2VwWbexdBtzSBFYg+LRyxwqo4htUtkvH3QffBeVy9vYr3QVUKh/sF8swHGJb766Q+rOEYajkP+C5vRG7u7u8+OKL1Ot1KpUKTzzxBNOlIjE3vgZhOCSXs0/c/5qmMBgMsCx9/Edjb28Px3HIZi3uvXftRLfXzdjZ2SSfz6LrGo7jYlkGURTS73exLA1rfF+EoY9tWzz88EP0en0Ggz5HRy0ef/xxisUCu7u7tFpNDMNgcXGeKIpot5u8/fZPcV2Hg4MDGo0G+Xye0WhEo3E4LsRXgYipqQIQ0ekccfbsKSxL5/TpCj/7sz/DPfes8ud//ufs7+/T6XQ4d+4cp04tJSmkWo3777+fWq3GK6+8SLvdRlEUDg+r/If/8Du0Wi3y+TyDQZdCIU+r1Upr0CzLYna2wtLSPIWCiaZl0A2VGaPCPWvvzCWM45j+YMD83BzPPfc8w2GAZRmEocag38fzXLLZHI4zQFUz+L5LEPjjhoOkGD2TkQnDAMPUWVycY//ggKE/pF7fx/d8dEOnWCowMztNq9miWq2i6SrFqSK6rhEEI6I4ojiVZ3YusbA4e/YUF99+G4lMKrLjeMTZs2tU9/bGKd4RsiLR7bTxPBddN+h1O8iKRD6fpJ5NQ0XXMximlvig+Q5qRkWWJdrtJratIcshX/3ql7h06RJ7e3u02w2+8pUv8Uu/9Ev0+30uXfopDzywltbdHr/HZVkmjmPiOE7v92vrc9Nz7XfhJr+LknvVTr9syLJELp+l3+9SnErudV1T6I8/FzfjVss+kegqRv6jE4/eKMC271xj0Pvlk3hMN8MwVKY+5GfHHRNbs7OzNBqN9P/1ev2G6cZb0Wz2iaK7ux2xUslRr3+wsLnuBQwc//YrfsbQvYDOBzy313J8lMnCwizVap0/+qP/zq/9m/8LjRtfA0XR6PWcE/VUvu+jqhrO+Lopis7KytkT2znv4pq228lYmFrtkCtXtojjeJxuc3nttZ+m0a3NzW0kScEwLEwzmx5Dvd5icXGF7e0disUyxjgq4jguo9GIarVGJpOh30/qoIbDJsNh0skoywpxHDMcBvR6iS1ENptDUXQODhr0g5CLFy/z6qsXcF2fcrmCYZj0egOOjnqYpolhmFy6tAmAYejYduL/FUXw/e//gOXlFS5duszs7MJYJDrIspx2VAZBiKqadDou5eyIOErOi+eP0nOURIs0DustTp85S6N+SLPZJAxD+v0BcRwhywpBEKDrOq7rI0lJND6OJRzHRc1oFMpTqJpGMBwShdDt9ohiMAyDXm9ArbpPqVRC07RUEB61jyiXp9E0jalikbffvkS73UmL8EvlGdYvXqTX75HL5jh3771kFJ1iscLGxjqel1h4ZDIZ4jixj9jb20uGeh91Odjfp9Fo4HkemYzCuXP3EpNkFmzLolKZYWnpDM89931+5mee5L77HqHZPGJuboFHHvk8vZ4PqHQ6A771rd8CYhqNOo1GndnZecrlMvV6A9s2efLJL/LWW5f4H//j/+P06TOsrt5z3ZienB4Q3uS+bbe7WLZNu92l3W5TbzRRZAnDMKlU5k5cq5vd+5alv6vPxScJxQ7odT+61KjqBQwGn6xGBdvWPnHHdCs8L6D3Hp8dsizdMkB0x8TW4uIiuq7z0ksv8bnPfY7vfve7fOUrX7lTuxMIPhJuNMoEoNlqMl+68TYfJE14OyzLotvtcOXKVmr9kERIkpqil19+iampKQ4ODpifnz+x7aQIP5fLMTVVHNd5eWnK07IswjBkOBwyGoVIkoTjOOi6RiajMhwOkWWZUqmMqmbQdYOlpeU0XVRZ+hySBGfOrLK9vYXjOCwvn2Jvb5d6/ZDZ2aRg+/DwgGw2x3AY0GzWyWSSNvlWq8H09AxRFDEcDhyvn4YAACAASURBVJmZmWU4DAjDkEKhQKNRp9M5otmsE0URQRAkBfr9PpcurWNbFnY2iyxJFEslXn/9NSSSYdSu66IoGTIZGVlWUdXkujjjuqfkj8Zw6GOaJr1+n16/DzFJt2QwJKNmcByHURCQzeWIwhDP8xiO05u+nxTpN5sNVlfvoVGvJ87ydpZut8PFi28zCgIKhQIrKytklAz7tWo64Hpt7RzVanVslKqk91pSZ+eyvb1Nt3OU1vsFQUCtto+syCwsLFAoTKHrBisrpwCo1aroeuKG/+STX0zNa5vNJi+99BO2t69w3333s7FxidEoQJYVjo7aRFFEsXiG119/jTBMrCy63W46puf8+c9RrVZpNuv80j/+Krlh74ZpQHN8r046JovFIoeHBwyHwTHvsg/ncyEQfNL40MXWr/3ar/Hrv/7rPPzww/zu7/4u3/rWtxgMBjzwwAP8yq/8yoe9O4HgI+Vm7tnJGJcbe+lMCswnxdyWZbG8vPKe61Ju1NE4NzfP5uZlwnCEZdmEYchoNCKOI95++00MwyAIhhwdtWi1mmOH9cY4JZWYiELi/j4Y9NN9DYdJvc+kFmviHC9JEoqSQVEiFEUhk8mMPbcC5uYWOHPmbFqjpqoqvV6fYrFEGIZcuPATstkci4uL7O3t0em0WV1dI5/PI0ky9XqdwcDAsmxGoxH9/oBGI6n97HY7ic9UYYpqdQ9JkiiVpllZWaFW2+PSpbdZqqyg6wa5fJ5Bf8DAGeC6bnLua1UyigKShOu6yLJCPp/HcQbEMePZgjGu6yBJ8rh7c5fR6B3H9vvvf4But8Pe7i5IUlKLNQoJgiHFYhHf8+h0jiiXK5TL07TbLRQl6bA8PNzHME0qlRk812W/VqPVbIwj9zGO63Lq1KnrBldHcczS8hK+lzQ8dLtd5heW2NvdQVVVwjAkjiEIhihKhnY7idj5nsvM7Fw6XmhpaRld1/iVX/k3PP30907MhtzcvDyeNjBNt9sdW37YdLtd+v3uuH4tSWE+8sijGIZBp3NELpen3W7zh3/437j//gc4ONinurdH89IPeeTRx5ifOynu5+fm2dq8jCTLSSH/CPL5PBlFZb+2z+kzZ97X50Ig+DTwoYit559/Pv33f/kv/yX993333ccf//Effxi7EAg+EdzMPTtJEY5uut3kATIRS8c7/d4NN3KI39i4xNraPUxNFXFdNzUVdV0nTfXFcUyz2SSfz1OrVTk4qCU+TnpiYLqxcYliscRgMEid1UejUSoKs9kcpmmkpqiTIcuGYZDN5shkklE6pmnx0EMPA3DlyhYAsZa4tnuey/T0NGfOnKXfTwTQmTNn+eIXv4yiyKiqxjPPPI0sy6lgBIlcrkCv12N5eYV6vU6r1aRer1MoTDE9XeaBBx4mk8kwMzPD6uo5dF2nUCig6XpaKD/0fXZ3d6lUKuRyea5c2WQwGBBFMZ7nYhgGmqbh+x7DoU8URfT6PWQpcXa3LIvRKEhruwaDAYZp4gwcwlGY2ixMas3CMEqEhCRRLJbodo+QZQXHccjlC+wf7NM5OhrPewRFkQGJQb/PwcE+MzOz7O7u0m41qdVqOM4A0zTJ56colacZBQGjYEguX8BzHXx/SBSFaJqOosj0+30gTq7/KKTZbNBqNVFVNbV2uNYhvl5PBoSvra2xtbWJbVs4jku73USWFTRNp9/v0et16HTabG21CIKAn/zk7+l2O0mH4fpFTNPCNE0kWea1V19JI3THPwOTCKo3jqCeOnUawzBxBgPO3XPuXX8WhF2E4NOGcBgVCN4Dxx9UuZyets2XS2Xg5t2214qlbrfL5uZlpqamKJXKtx3Ps79fI44jGo1kBI6m6WSziT1DqVRCVVVqtSqHhwcoikIUJREXIE2LjUYjJEkmipKoVLGY+G+98srLPPDAgyhKBs/zcV2PMAxpNBroukE+XyCfL9DrdYmiGN/3KZXKFAoFVFWlWCyxtnYPAG+88Tq9XpfRaIRdOmJ/v4pl2YBEFMXk83mOjkLW1u5JR8MAPPvsnzMYJBG7g4MDoiikVJpGURR2drbTdJbnuUBMr9fFcVympqb46lf/Ic1mnbmp+WQu4nCIrukUi0UM06TX71EsFWkftTFNC1mWCQKfKJLHkb/E+DWKEvuFTCZDRsmgqhoQjyN5Cu12Ox1IHQSJXxaAkkmaHaYKU1i2nXYEJh2SWbLZLLu7u8RxjGmY7PV7xHE8Nn6VUZQMmgaNeoOhP0zSd50OnuciSTKO4zAcBpSnpxmNRrRbTfL5ZBxRJqMgyyqZjDr27cqgKBmGwyC99n//9y+MrT5O8/TT3+P8+cevMSWdHr9vNRW71WoNWVYolRIhrigKhUKBF1/8e+bm5rn33vvxfZ/XXnuVfL7A/Hwy1BskTMOkP+izOR5eflwUFUuldNj3hKHvY75Lm5Nut3uiozE49qVDCC7BJxkhtgSC98Bx9+yDgwNMM8sXvvAlTMsiHGdmbpTu2x/bADSbDXq9Xho58n0/9d261QOj1WrS6XSI4xjP82i1WgDMzc1x7ty9bG5eptNJIiaynCEIRoBEHEcMBgOCIBh7d9lomkY2m0TmEgHXYXPzMlEUE0UR+XweRVHY369xdHSEpmmUSiVs28ayLFw3iQg5jsP8fJI6zOVyvPbaq7TbLWw7S7fbJQgCLl++jCzDcDhidXWNtbU1ZmefRFGUE8XVP//z/5iXXnqRK1c2iaJoXB/WxzBM1tbOIUmwvX2F0SjA83ziOKLZbHD27OrYoPM++v0+nu+n1ge1/RrlcplcNpd6ZbnuO35aST1akM4cnJ6ujOu2+oxGIcOhh6pqWJaNoiTjfnRdx/M8ctkcxWKRdrudXMtxZK8/6PPaq6/QH/SxLZt8YZpGvc7S0hL9wSAVvBClfmFhOEpr7EzLJBg6RFGyXFEUDMNMxunUkw7QYqnEwsIiW5ub48L45Nd4EARomo5lmaiqSqfTodFo8MMf/pDHHnuM3d1dDg8PuXjxLZ566l/xjW/8IpA0fXz723/E1tZl8vl8avlhWRa6bmJZNisrp9nd3SaKYk6fPkMul08jg/1+N3HtHzNxyd/Z2Wb17OoJUTQ3P89+LYnqTpoN3kudVmLMq6diTdhFCD4tCLElELxHJu7ZJztJE8+lm6X7er3ueMizls7rS+qDJBYXkzb6W43n8bxElCWF3QqGYeC6Lnt7u6iqRqVSodfrouvGeHCxPn6wJ35TE8d3iNMC9NEo4OiojaapRFGE7/uEYTgeehyi60ZqUqppyczFw8NDZFlmaWk5FVkT9vf3MU1zPPA6JggC4jii33f5mZ/5WSzLYnX1ntQZ/sKFxPfpwoWX2d6+wsbGJRzH5fTpU1Qqs2xtbVIuT6dO8NlsDsvKMhqFTE/PMBz69PtJCvcHP/gBa8v3UavuoWmJQMpkMjTqdR559DF+/MLfEscxnc4Ruq5hGAa6bjAajfD9OG0IiKKQTEZFUZLuv2w2m9oe6FpyTY/abcrlMoZpMq0o5Pwsa2vnyOVy5HI5snZ2nOZKRv8kXlrT5FyXdrs9HnLtYpoG5ekKvW4H13VQ1QyKrOBHHvpYYHW7XUzTZGl5mVq1Si6XY3FxCdO0OLu6iud59Pu98cglA9vOYloWnutSKhXIZDJIEqyvX6RYLJPLJVMAnntuhm9+81fT+/mpp/4Vzz33LK+99grz8wuoamL+evr0Wc6eXaVcLvM//+f3uPfeB8jl8mnN1j/6R/8rf/EXT9NutygWEz+xIBgSRTG2ZZ0QRa7nsn7xIoZh0O12MQydYqlMsVSitl9jc/PybdOCA8dB1U5aP6iahvMepi0IBB8HQmwJBB8ixw1MXdel3W4xGAw4ONhH0/RxB2Af284Sx6TpntuN5zEMg4ODfWRZHtcGhciyTBiOcF2HmZkZZmbmyOUcNjcvAzGqquC6yTiWiQhKBFAS0ep0OoxGIffcc46DgwMGgwGSJNFsNrEsM/UFGw6HNBp14jgil8uzsLCQGnpO6PV6dDpHxHGEYSQjahZmbM6cWWVr6zJLSyt4nntiFt+lSxc5OKgRhhHtdgtZVsYCsMNwGFAqlVlYWODq1V16vQ7FYolMJoOmGRwdtRkOPUajEWfPrtJqNYmiCF030hE0mUyG2dl5snaWjKrie0lhfBhGqKpGLpfDNC1qter4XIYYRuJ473mJ/YOqJsJLVhR0XSOXy/Pggw+xu7tLrVZL7RqurU06/v/1S+sEwyGmZWFaFsViMW1qiKMoGfkzN0+/3ycGwigiGotd2w7TGjpZlllaXsY0LVzXod1uk81lCcOQe++7D1VV2b16lV6vS2GqCIAzSLzDJt2jINNut3nhhR+mYgsSwXX8/8ctTmw7S6/XRVEU1tbuwbazbG5eHn+BcHjyyS/QbDY5ONgnDEOiKKZeP2BufiFNIbZaLbavbDIcBiwvr5DN5ZAliVwux36t9q7TgrZl0e+7J9KQk3MrEHySEWJLIPgQmcw5dF2XanUPVU1sEpKZdwGKUkgHDk8KsOGd8Tw3m6FYKpU4PDwYWxwM0/RWr9dJhU+xWML3k7RSEkVT0wLwKIqxbZuHH34kjbTJssQDDzzE1FSRbjepPUvmHYbpqJ1SqcTR0VFqhWAYJoXCFL7vp5G4STQvl8uNU5lDut0OM+GIwaDP0tJymnLqdI4AxqaqRywsLHLx4tvYdnbsAF9AVTWWlpa4enUHkLBtG8cZ0O/3xx5gfUqlEisrp+h2j2i3W0RRUrhvWYlppqwoY/f0mNp+jYWFBZrN5rhTsU8QjOh2O0xXKlh2EgUbDofjFGt2nNojsbM4Noswea/rVCoVFhYXCYbDE3YNN2J+bp6NjXVcz2XQ7zNwHGRFYX5+Hl3XU8+tN998g6NOB0M36HaT66ooCpZtMzc7i7KwQEbJ4LpO4iyvapimhSIrNOp1pqamxuftKooso2QUZEXGMKyxv1kXSYJO54h2+4hqdY+FhUWq1T0uXHiZZrNOuVxJ07vH67pkWebMmbP84Affp9/vcfr0GbLZHO12i1Jpmm9+8xd5443Xx+dQZX5+gWh87qemimxf2SKK4vG5DWk26pSnK6xfvEilUnnXacGFhUVef/2nwPtLQwoEHxdCbAk+E9zsgXK7Ze+VyZzDdruFqmqoqkq73RoPQtbGdTXJDEBI0lSTOYalUomNjUvj1FufWq3K5uZlHn30sfEAZpcoCjFNC13XkSTGJqLKeN8mc3ML7O1dJQgUbDuLZSUF4YlXUzJa58EHH0rryJIhyY3Uk2l/v5pGtJIoUlKvNem+9H0v7VSbzLBLbAF0lpaWx3VQyRxG3/eYnZ3l4YcfY2vr8jgFKvE3f/P9sTO5wurqGt1uh0JhKj13ruuMU2LWOD01xf33P8Bf/dVf0O/3sCyLqakisiyh68b4ONW0ni0IhnieSy6XZ3ZuDtcZkM8X0FSNdruNBDiOC0Aul+fzn1/kytYmnU6Hfr9HFMXMzi3w+c8/cZ19QW2/hq4b76lmKJfLMTe/wGuvvkIUx9iWjZ21kSWJs2fX0u2KpTIZVaXdaiX2Db6PqmYoTE2xtpZ06m1srNNut9MuyNFoxOLiUmLDoaqcu+cchmmlRehJqjSg1wvGnYNder0emqbx27/9f/PP//n/we7uVfL5ApXKLINBn2eeeZqvf/0babp8EuWan19gYWGRK1c2uXz5Eg8++BBf/OKXUVWVarWaRiJ9+XQqCINgxPrFt3E9d2zdUSCjJlG2qzvb9Po9JCn5ojCJTt0qLZjP51lbu4fafg1nMMB8nzYqAsFHjRBbgrue4ymRax8owE2XvR/BNTEwHQwG6dBp3/eZnq7Q7/eRZZn5+QUcZ0Cz2Uz9qJaXV9KOw2azSSajYttZPM/lJz95kXJ5mqWlZfb2dsfWDj6Li8upMPJ9H03TUBSZQqFIoVAiCIb0+32GQ39sBZEMRQ7DEf1+n/n5+dRewLZtDMNgZmYWw9DHBeQRCwuLtNutdH4gwP5+FUiEShAE7Oxsc+rUaSzL4tSp07TbLXRdJ5NRefzxJ7AsiyAY8tOfvokkxTzwwEN85Stf4623fsoLL/yIXC6L53nMzs7x9ttvYllJZHBqqkipND12co/4F//iX/KjH/0ISUoEnm3bSRfg1FQyHkfTcV1nnA40sG0bz3VhaupEGs/QM3S7g1ScTFi/eJFRGKapwWuFFpDOLDxOIg76xywJBmm0aiICJhYWx9Nfnc7R2HS2gGnZ5HI5mo1GYuA6O5tu5/s+b775BsVSmbn5BeqNBhJJ1G16ehpz7BHmjH3SJpE0YNzQ4NFqNdLU86Tj8o03XmNzc5N/+S//z1RMT/4+Xk/3/e8/h67rPPhgYu3x6KOPj33adEqlcjpTEyCTeRCfZF5ksVRia2sTx3WwTItMJkOv30vf1ygckcvm8Hyf2n6N+bl5TMu6bVrw2jStQPBpQIgtwV3Pcdd3uP6BcrNl70dsTQxMu93uuOPQplKpjO0DZFzXw/eTFN9DDz3MI488mm47MZfs9XrjeXwqmqaOzT4HLCwscPr0GVzXxXGSDsPHH/8cwAnD1NXVtXQotKqqqSu8NDb09H2fcrlMr9c7cay2bXPq1GlM06RYPErn4k1NFbl6dWdcw5TMN4vjmFKplBaW1+uH6bamuYjvT2OXzrC+sc8PfvB9KpUKjz/+eGriKUkyDzzwMC+88De4rsdwmDiWJ2LP4PBwny9/+av83M/9/InrUCyWcV0nvU6tVpMf/ehvmJ+fw/c9DMNAlmXy+QKSBOXpaSSg0+mkQkw3NNSMnvqC9Xo99mvVd5UaNK2krujamiEkiY2NdXTdSIdDb2ysp4Xz14o013VoNBpEUXRin4oijzsUQyQkFEVG0xLX91EQsF+rMjs7i5pRb1C3ZKeCL6mza+B5y0xPJ+fMdd3UNkRRlPG4pgavvPIKBweH9Hpdcrk8Z86c4a233uS55/6SMAw5OKgxP7/ISy+9mKbEr00JTzy8JhHb5D0mgllTdUzToNvrIQGNZiMZrq1kWFxcot1ugSSNTWAVkRYU3JUIsSW467mZ6/vk2/itlr0fcrkcjz/+ubQrMQzDVKycPbuaPlDOnDk5C1GSJA4O9tNOuuRheDB2bVcYjULa7dY4vbOQjtqZ7HPC/n6Nt99+a2xqGiHL0rjGy8LzfPL5PP1+H0XJXHesicGnjyTJPProY/R6PYIgYGlpGYCrV3fI5fKUSqWxwzxUKjNsb2+l0bXJOKK1uQVKpTI///O/QC6X5/nnn6VYLOJ5Hpubl3niiX/Ak09+kVdeeZnl5RWOjo5YXl5idfXcTVO51xpyqqrK2bNrVCqV8cig5D2Ylpn4bBkmrWYDODlj1fc9trYuE8cxR0cdsrnsu0oNHo8avVMz5KEoyk3TiwBHRx2qtRq2baeWEZIkYVvJgPLJ+vV6gzNnzyJJEtXqHmEY4jpO8h6kpH5NGR//tcdQLJVSwVcqTzMYJIao3/jG/86f/Ml/Z2fnCoqioKqJQ3zSfTri7/7ub/kn/+QXKRSm8DyX559/loODA1ZWTuF5Hvv7+1SrVe6//0GKxWIq3AqFQuoz94UvfAmAIGgz9H3UccOHLMssLC5SPzwgjqLx2KMulmmlXbiTsUDNIKAwVRSeWYK7EiG2BHc9N3N9n3wbv9Wy2zGp9/r84+cI+pfTgvbjI3qOi5UoSryVblVn0ut1AWksekBRlLHT+sStPBmtYh1LtUwK61ut1nhwcdI9l0RPYjRNQ9d1giAgk8kwGPSZn18AEqE2Pz/PxYsX6fd7ZLM57r333nQc0HFM00wHNk9QFIWVldOoqnpiHJFpWSeEbj5fwPM8DMNMoyK6rvO1r/2j1PPp+Dn9q7/6i+tq6K4t3C6XKzz11C+zsLDI+uvrnDt373WGmZ7nU6lUqMwkxxGFQzYubxI1IpZXTlGt1fB8D03V0vTVKByxu7d7XUpwMrMwqRnqY1o2y8srbG5uoGraiXOlahqtZoNBv0c2l8XzPTzPo1qtpp5dxWLxxPpIpJGz/tiPTRq72YejxGh2qlDggQceuu4Yrq0nC6MITdNpt1s88cTPcPXqDrqupV2sURRhmgaDQZ+trcsEwQhVzVCv1xmNRqmp7cLCEtvbV3jrrZ/y0EOPcP7847z11pvk8/mxzYiWXquf/+rnOayrOGPvsWwui6a+c14m979lW4RRxKVL65Sny5TKZYhjomu6XE9+Lnrs7GzSbndTiwhAuMkLPhUIsSW4q+j3etRqNVx3wNpDSwS53HXRkMGgf+Lb+LXLdnZ2qFQq/MEf/NdbFszv7u6m9V6GYeC0T5qTvtfaEtd1sO3sOOrB2PMpk0Q+tIlQStzKs9lcmmo57u3l+/74YRph21mmp2dwXSdNXaqqOnYml1Ih1Rufs0qlwuLiIsPhkFqthn2DNFoul+PVV18hjmMsyyabzSJJ0k2jEceF7tmzq7z00ovjqEj+uqgI3Lq+7rjgutH1KJXKN4z4GIZ+Qgg1Wy0Mw0xSdeNoked5tNttTMvCdRx2d69i6AaSLLN7dYeLF99mZWUl7Up8t+lFz/PJ5fJoup4W6A+cAVEYpvVWx9efnZ1N38NwOEzd/rPZHBlVJRibut7oGDY3N06kKieCuNfr8uij53n22WfGQj5DFMUYhk4YjtB1gzgGiFNbEM9zkWV5/Bo6s7OzbGxs8OqrrzI3N883v/mrzM7O8e1v/xGtVjPt5Hz43kUWx4Kntl/jtVdf4ejoCFXNpPdPPl+g2+3QbrcwTYvOUSe9Du12i62tzRPp9ck9urFxiXzeTi0i3njjdQAKhYJwkxd84pE/7gMQCD4s+uO2/NEowLKSFvOJkPr617+BaVrU6weYpnWi2+r4ssk4GNM0qVRmcV2HZ555mmp177r9vfjii2m9lyRJqb/WZO7he8XzfGzbZmXlFKVSGdM0keWkq3Bl5TSKooxTQ1Y6HufSpXV+/OO/pd1u4TgDDg8PUguHVquJYejjyFgmTSlGUZR2OMK13mAejUaDg4N9Xn75pbTjEE6KMsuycJwB9foh8/M3jyacP/942gU3NVXk3nvvJwxH5PP5E9dhwnPPPcvm5mVefPHveemlnzAcBuTzhbS+7lZYlsXa2jkyqooz6JNRVdbWzlEslZO6qjG+lwxnnoiRYrFIHMcMnAFxHFOvH0IMuXye/VoNSZKxbZtmo8HGxvqJczJhfm4+ma/o+8RxzND3Twg910l8sfyhj20lxeOyJF23/tkzq+l7gMTRP4oSH7L64QHD4RDD0K/bf6/X4+iow8bGJa5sbXJla4t+rzceMeRSLBb53OeeIJ8vJK76uRwLC4vj+7wyrulLxJVhmOP9Jp2lk/uqUCjw2GOP8cADD3Lhwkv8yZ98h62ty8iywtRUCcdxqFb3+LM/+1Oefvp7/OQnL5LLJdMIgtGIfr9HLp8nm8ulo4dGo4B+v/dO3aQksb1zJT3HvV6P9UvrvDC+xycCWdP1cTrTQRvXI2rje7j2Pj9/AsGdRES2BHcNtdo4jTJ2mFZVNX1Qf+Mbv3id1cPxNNUkjfX009/DMMwTBfPtdpvf//3/zOnTp09Euur1OrY9tkTwfPb29tKoxO1mHd4Iw0gMOWVZplhMis8nHYvJMOhpfD+XCq2JTUTibRWwtbWFZZkYRiLShkN/7DafdDzOzy9QKpWuO7aJN5jjuOzvV8edkEmn3/FIwXFRNhn07Ps+vV7vunTjhGvTfgsLiyeuxXGq1T1++MMfMDMzk9YPXbjwEx577HEc5905hN8smni8zkpWZJzegOWVJDJomhbT09P0e32cQTKqZ2l5eRyR0RLhE8fj4cnGDWu5JunFza3L7O7tQgxzc7MYpkm326HZbKJmVAzdwPVc4iji3Ll76fV6J1KBx2vwPNdha2uLKAoJwwhJgnA0SmvlJky8v7K5xHz0qN1CkmSmikV0LRHQly69zVe+8jWWlpYJgmEaifL9YTpge3LNHcdFVTWmp2fwPJft7SvIssKZM2dwHIcXX/w7/n/23uxHrvw803zOHufEHpGRO5NMFsmqkqqKolarJLcst90jWGPMxWAAoxue6YsGBpi7vpi+9r8xQGPgabcx7YEbDcNQjzyWPbZHssuyVKxS7UyuydwjYz0nzr7Mxe/EYSaZyaWKLBVL8QICS2REZGRmnIjv933v97yapvGLX7zN5ctfwjQtbHvMBx+8j/svvs1gOCCKIyQkkiNbrJqm4di2KMBkhVazTRSHVCpVfN8vAsAtyyoKpmnHVgLCKOLqW2+RpQJLEsURtfw6LYrZwCeD2Thxps+cZsXWTJ85HR0FmmaZpaUlKo/xxul5Eyzr+Fr+/Wb3R42p7jfT9/s9PvzwfeI45mtf+8ax23c6Hfb2eoRhRK/fIEnE2C/LsoeOM04Dl5qmyWDQp9c7JI6Ff2a6mdbr9Wi1WsUH8sbGtQITIajoIsbH930kScpDha08WmftoaOVo2wwVRWjxiiKKJfLRaeuWq0WRdlRPYp8D6eP/e7X1atv0ul0kCS58CkBfPDBe3zzm99+xL1P1/0+q/lOB001UGSFLMuIwhBZkvjyl79CtVrl2sY14hzZUTJKgOBZGbpRYB5OU5okrK6sFmPM0WjEYe8wR2GIMHCyjLlOB9u2j6En7lcGaLqGWaoX9/V895jV37Zt3nzz57ie+N3IslLEEPm+z9LyMr/92/8Npmnx/e//7gNMuTAMcZxJzk8TBVer1UaWM3TdQNNUlpaWqNcbbG9vcenSi9TrDTzPY29vlxdeuIhlVfjww/e5desGcU7FF0kFGUEvoFatIUsymqYzHA0pl8uomsb8fIcPPnifDFDcCaqiIisyuq4zyPMZpzmIkiTTOzwgikIR3G0YuKMhaZIUPkVN1VBUFR5x/c000y9Ds2Jrps+UpqNAwyhhWRWi6N4K/aMKLtMsE0Vh0dmCB83uD8NAjIyHIAAAIABJREFULC+vIMsyP/nJ3xFFYnzlOGNkWaHTaSPL8rHb/9Zv/TP++I//RGzWfUV8aEZRVDzOSVmHp2UnLi0tMZlM8kicah5HE1Kr1Wk2W3S7Bxwedrl16xaLi4u5DytAVTXq9Qaj0RBV1UiSDDkvIgzDJI6TYx86JxV6UzbY9MM2iiKiKKTTWTlWTE2LsqPm+Cn5/mnoxo0Noijigw/epl6vs7q6hqqqdLsHXLny5U/02Ec7XlbZYH/v8AGD+fTfpxuHiiwXHZoojpibmysQCyfpJOBpvV4X41yjlHfGDOY6y5RK5kOLNgCyjNXVMwwHQ3FfXYBjszQF7nW0poVWEieMRgPm5xfQdaP4ekcPHEdBpVevvsnBgYhpOnNmjfn5Bba2Njk42OPMmbP8/u//a3Z2dvibv/krdna2uXTpxeIgIkkSZ86c4datG0gS3LhxQwSII4pE13WBLC+gFJqNJqPxkHJaIYzEz9I0rRzwm6DICmEUEk4EG24wHLC2drYo0jMywjBA1VSy/OuU8oSAu3fv0Gy2AIijiKXlZRRZmYVTz/SZ0syzNdNnSkdHgVNjuGGU2N19tA9jaSn3zYTCBxNFgpp99IO61+tSLj/Y/bpx4xr/8T/+IX/xFz/kvffeIQwDfN/nrbeu4jg258+/cOz2vV6X1dVVvve97+P7IWmSoqpK4YPRdT3/wDmuo6M43/fp9YQ/6o03/iGnsJ/F83wkSc6ZUVJOax/nJneVra27dLtdRqMRqqrmrKsynufi+z6e53Hu3Drr6+dZX18/Vmhdv75RdK2iSBj6AS5cuIhpWkwmk2Pfx9FianFxqaDdZ1lW/PdpI8Qn0c7ONrfzSJcpPPO9936B44z59V//zscm+p+marXKpYuXuHz5CpcuXnog2/DChUvMzc0xmThkWcri4mKO7PBPhJ2CAJ6etJEoRnJzLC4sQiYCu+9u3oEcSHuaTKuMqqgsr6ywvn6e5ZUVVEUtir1pcVe2RKGl5vFMIvMyRgJ6vUN++MMfcPv27cJ3OO3uep7LhQsX6XQWuH59gzff/Bm+L0LM9/Z2+aM/+kOWl5f5t//2f6VSqVIul8myrPBKffe7v02tVmV/f480TZAkmSwT40JD10niRISuA7IsU6lUefXVVzm/fp5vfOOblEyTeqNJpSoQHuERX52EJF7nB/t4rstoOCyo+gLOqrCwsEilUmE4HLG/t8doPKLZamGaVuGTO0lTH9jbb7/FtY2TPXhP834zzQSg/MEf/MEf/LKfxGnyvDDfkvn8qlw2cN3w0Td8iNQowru+9ZSe0S9X21ublEr3QpBBcHg8b8LCIz7UdcOgUhHjLs+bMHf5Jc5/8ZVjH9RbW1u47uRYd+bu3Ttcv77BaCTCjsvlCtvb2zltW6JWq/Haa186dvutrS22tjbpdnvU6zUuX34ZS48KPIMwMpdot9vHnuPW1l1M08wRANsFYb7bPchhnVXSNKXRaKKqKru7e3lnSUKSpDymRgFSHEeEDKdpgm2PieOYWq2OZZm4rstwOESWpWI9f29vtzDyi1GjaGx7nsvS0jLtdpswDKlWaxiGUfCy1tbOFgVipVLB81xcV0TqrK2dPbV7IGtNwujxznN/93d/S6lk0OsJ3MDS0koe1p3xr/7V/3QMzXGaIj/mxi92Hnk7TVeJotMRAyDGVwsLiywvrSArClEYYpRKnF07d+r3O7Zt4igSo6zpcwpDLMvEtm32D/aRFQVZlvF9H1VRaTQax16LR6XruuCsIRXPIQh8zq6dwzAMtrY2KZkmmqoyGo+QEIXOcDjIMy4zXv21F9i4eY319XVu3rzOwsIiV6++yXg8ZnPzDru7OxwedknTmFLJKnI2X3zxJUDirbfe5PXXv02SJBwedvOOaJkvfOEV6vU6a2vn6HYPGI1G2PaI73/vt5l07yArMnEcFYeBer1Bp9NBVVSM/LrY2rqLBCLb8fCQLE3RdQ1ZVmg2WlhWmf2DPcJQ8MDiOEGSoGRaNFtNklgkIZTLFnOdDiVDYCxKZokszYqvc1TTA4csSZRMkziK6HYPqFQqp/4eTrqfbY/56KMP6fV6uJ5boFVOklyeJ0yU019sT1lKGOFce/R18GlK15VHXnOfJVUvrZDq2hPdR2Sz6qf/e5Z9dsuZXs/JidOPLylKiN3o0Tf8jKhU0vD9T/Z8zSyk/4O/f0rPSEjWFDLl4Sfvp6n6V86jlnXG4zFZmiIr9z6k0yRFkmVqtUd/4B6VsdIhUVU816XX7wluFeD7PuVKpfDBHBzs06g3GNtjwQSShLFXVhR0XWd7e4tqtUqpVEJRFEajEZ25Do1GDdcLmDgOZ8+ukPm3kGWZNE1JkoRatVZk2E013RT0fZ8kiYki8buP44RM7N2j6RqKojAc2fz93/9jjnIQXYJ6vUGpVELTVCoVkZcojNwauq4XhZWgdze4cOFiUTSFYUC7PXeskM2yjMlkwuXLXyIK6zgjMcbxPJEdaJomlUqlKCKfRJJaJY4f7zV0/cYGpZJJGATYjgCpTlEVX3j5i4/1GGEQ88P/46ePvJ2qCkDs40jWFKTHvA7sIyPwo+iJCxcucevWDQ4PD0nStOBrKbJyLDLoS19dwdKPf60oivA8jziOUVUV0zSP8dZ8X3QZp0qzDDn//aZZxgtfXGFr5y6QIcsy9XqdIAiLrMxpt67b7ZJlGbVarYDFZhn4vsvy8iqtVovt7S10XS+umzAMabfb3LhxnSRJ6fW6fP1bV7BvvYEkSfcK+hzroKoqEhLVag1N0xjbY6JIvDYnkwmKohTXgFUuI8syE8dB1jV+8eGHjEcjJBkURUORZcIwxDQtlpeXGeSerem4UUKi0WjQbLULs/z9/rZms4lpWoRBUPwetNoikvLgAWE8HucYDpk4TvA80TWbwmzTJKFaq514nUilBlHy6Q2R0kHA3g8efR08rjJkose8jk9TuawzmXyypsKnqaX/9mtElSezR8iyRLtdOfXfP3eerdiNePNPr/6yn8Zjy7L0T9zZevkrS+y+v/eUnpHQ0hcWkZRP7+WhlnXiw/dRg5B+v4eiqiiyQpImJHFMq9UmDk8/NZwkrXGGoe8fo6OHuWk5yEcilmUROX1So419uEMcJ/kHjUAn+L5HHCcYhriv73t0OgtYynl0qgRBTBIEpFGV2O8VYxOArttF0zRxas7HS7oS0u/3mTgOcRKTJmLFPk0zkjSBLMvjWXyac6KLMhqNiyiaaYHmeR6rq2tcufIV3nhDFNqGUeLs2XWGQ5FlOF2Tn564x+PxQz1XgZvx4//zH+n3+6iKgqIoJElCnCQimkc//eR/kiStQRjJ2Pb4hIWA44XzxsZHD8BSRRCzRv/i410fZ7+0zOa7j74ONF0hCh+v2Fp7ZRHlMa+D04Cn1WqVLMs4s3b2gUL3qG/L0iXu/snfPPRrjPI/gyDkoLsvOmR5Jy2OYkpmifnOAoNBH0mSKH04z63Nm6LAjGImEwcjN/0f3Wrc29/Fth0uXLhAP38FR3GMosg49TqXL19ByxdXXG+CZZZZXFri2u4b2PaYw94ho9GQl5fn6b9zvXh8WVFIk4RJXnQtLiwQVzxiIA0DRv0+ZBn9bpc4icW4sVwh1nWiKMYPfF787jd58cWX8kNTl273kCAQSQhn1tawLJHrORgMsB2b0WjIiy++RK1WL9hbi0tL7O3uHvO37e7ssLQ89c8JX6KkyKS9dx74uU/299B0nRhRVGdpiizLxEmM0miSJAnDvky71X7gvnK5QxJ/ep0twhaZ33tqDyeV2sCn+Pw/p/rcFVszPd/SDZ1Wq43tOERRiKrp1Ft1dOPJCq2pbt26yWDQJ81p2s1mi3q9jqZpXMw7Chsb1wjDkGazxZ07twnDAMdxGA6H6LpOo9EgDMMco2ARRRF7ezsYxhqKIjpKGdButQjC8IFipd/v58WKjqHrtFotgiDA89yCGq6oEkqq5BE7GaqmoaiKgD6ORmiahqpqxfOYFkjVapVz59aPFSp379r4vk+apuzsbNNstiiVSjlaQjCmjsbqHM2hcxxHPPf8A3z6p+M4GK0nK7ZAADWnxa4sy2zdvZsDQs+yvn6+KLqmJv2HPbdnpSAMcI500yqV6hMXllOdhp44DXp6mtn+UXIcm5JRQtd0fN8nThJUVRF+KUMXnaPxCFlW0KZjTUnCKouQb03ViPJuWRzHmCULz/PwPV+M1+KYOIqo19pYZrn43oC8aJmwt7tLf9Cj3ZoTIeiyjCxLxQbtNEezXq+jqVruuQqp5Id/QzdotVo4tkO9Xmc8HmOUSmiajh8EBL6fpxI4eJ4gxF9ovsB8Z7HoGMd5Z3gaMr555zZmabFAk0x/3tc++ohOp3PM3wYwGAyYaysPDb4GUDXx/MU1HaMqat7pyq+TfMw700ynaWaQn+kzJ93QabdbLCwu0m63PnahFUURm5t38u6O+ADY29shSZJj5vWp8TsMhUcwCALGYxtZllEUleFwyGg0YjKZiE2pwSAHfApfRBiGqMq9okTNxyG2Y2PbNr7nMRwMiq9n6DpLS0uYliXGDvkUSAIsq0y1VqVeq6OqGmtrZ7EssdLvOKKIyjKxGTgdZRw1rruuy3gsOmHNZpM4TtjZ2WY8HtNqtbhw4SJxHHPz5k22t7dQlOMn1iiKHvg7RVGKceeTaroQkKZpDgiVjgBCN3KiudgKvXDhYhH5o2lavkX5ZKPjJ1UQBvT7PdIkRdd00iSl3+8RhMFT/TqnQU9PM9uf+nyDkF6vR6/fE69hSRRBzUaDWr1RvJYqlSphFCP2+ESXKo4iOnOdwrCvKAqBL3Idl5aWePHSS6RZysRxUBSZdruNJEssLt1LGrh+/RpRHFG2KkRxxHA4ZDweYZoW586dp9kQhX2GGNdWqhU0VRQ2Am56/HVk6AbtdpuzZ8+xsrpKmiQMhn3cyQTTEtuKrufx3rvvit9L/jqfjgbv3t1kY+MaO9tbjEZDJq7LXOd41Jam69iOjabrNJtNojjKvXUCEjx9vIepWqmQ5N3iKaQ1SRNMU3QJkyR5wDIw00xHNetszfS5lee5eQdI+EfSNMW2bfr9PouLS9i2fSzH8I03/h7XdQiCEF3XSNMUN6eK67pRFGjlcpk0Tdnf36dabeRMKBMiUaxIkoRj28h5hyhNE0ajYQ6ZFIWjoessLiyyt79HmqUomYJulJAAM4+SSbOUzc076LrOlCY+JX6nacpwOCy+h2kO49bWFo1Go9jYStOE8XjE4eEhr7zyKpOJQ5IkrK6uFh2kKZNIQnhOkiQ5ZvIWXYqP90EyZXPt7u6K7lzuBQpyLIHAY9zDcDzr4up+OY6Nqqgoqigwp386jv2xOnmn6WEjxsdVkI/YVVXF0HXiJMaxnaKgSY/8ngxDp16viZ+176MbRoGukCSxkWiVyywsLKCoKkHg8/IXhDdu775R4T2/08/wXA8r9ztZpkVnrkP3sEvJNAu/Y8k0c8abcqxwT5Ik35Ds5UgNoQwKaGm7PYfrTgjCsMg7NEsmiqJwfWOD2leuFFDf27du5UHiA/Z2d1FVlVarRRTdA6mC6CBWK9W8kyjyEweDgcjxzNMYHvV70PMunO04qIpKHMVY5XKOWxFWh3qr9di/y5l+9TQrtmZ6bhUGIbbjEOfjxmqlcqwLFscxnc48m5t3mEwmTCZ28QFQrVYfAB8GgU+nM8/+vojtCcMQSZLIspQw9Is4E8sSxZbn+dy4cT3f3BLSNI3xaCQKLXnaOJYE0HEwEPl2xbiqwpkzaxx2u/T7fZI0wTLzjTBJolQyKZXEydm2x8XG1Hg8olyu0OnMFyyv6f+mxY3n+ezv79HtHuQfvAKM+fbbbxXxLHAvsmZvb5elzgqVSoV+vw9w3LNVr3+s39GUzRXk9HWAJI7QdeOxgKjPWlEUHQtKBvF9h9HTHwk9aVbm/XIcuzC1l0omzsQBCXzPR7Zk4tzbOFWz0cIwdJZXVtA1nfF4xNb2loCuahrdwy537txhbW2NCxfu4S9OZsNdw3M9yuUycZKwt7vL4tKS8EXFEXEcsbW1xZr7GmmSkAKTiRh/i86sjJ+nK8iygoTEeCwcaLVaHdedEMcxuq6Lg0YiMiGTOEZRFFqtFoe9Q3Z3dpFljeFgwGDQR1FUVEWlWq0SxyJce3vrbv64tXxJIeDSiy+yl+NjSqZJOYrwPJdS6V68z+MUXO28AA/DQFgdwhBV06i3Wsf4fjPNdL9mxdZMz6XCI0Z6TdNJ0oR+v0er1S4KLlVVi/FXEPgFmVxRVHRdPwYe3dvbxbLKgESSJOi6URRbU6+ULAskgzCew+rqCmkqirqD7j7JZAtN1fBzM3sGRcZcySjlaIkmet496vf7VCsVZEVhbm6OMAyJooiJO2FxYZEYhbUjpuooEh9qWSbglKVS6YFiZVrcWJZgfU0ZWKqqYBgGWZbhOE7haYHjFPjCR+M4hHlR2KrXCw9TkPvZjhaMD/M3Tb1YiqwU7Kcojlic6zxVIOrH1b1O3vEOzMft5D1LRVFUcLw0TaNSruD7HkEYUKlUaLXaGEcOG4ahU63WGU/GTFwH27FZXVktfvdn18oEYYCmag8tNPZy9t200Jp6wAaDAcqcUnRiV1dXMU2TkeuSpCmKLOO6Ls7EodVsoWtacdiZokpE7uMARZFRVQ3f81EUlSTxkHJEhutOuLN5R6QXSMKndf36Bq12Gz/w8wJUwFODIGD9/Hkc20ZVhBdr6vuTFYWt7S2iMCTNMpaXl4+Z6C9cuEi7+Xi/i6OF10wzPY5mnq2ZnkvZjiM2FhWx5aQoKoqqYjv3trtM02JnZxvXdYnjuCiyWq0Wg0G/AI/ats3t27fwfZ/Dw24+gpOLrUTTFB0myyoX40jxwSago4eH3TwHTtxPkRWSWIwW5LxDNR6PiKIQ13XFlpeqoioKh70eZBlhGBYf8mWrTJAb4aegx0qlSq1Wp9WaY2Fh4QHg6FRH/VsipzEjisKCsG1Z5Qdgq/c/jqEbtFttFhcWabfaxwqtfr9PmiTomlZEpTzM3zT1YrULQGjG4uISiiI/NSDqJ1GlUiVOYpI4gQySOCFOYiqVzx55XMt/5kf/v2WVabfatNvHC62jt7l4ScBbG40GtdrxDqWu6bjew7uLrjdB13K/UxQKY72i4E5EzA+S2IQ1pgcUWc5DpmMq1SqWWcbz/Xy7USGOIyauCwg0RJLEhFEkxnGJ2KhMswzf84S/LYrwfQ/btonCCN0Q4eruZEIUhaRZiu2MGee+Sk3TaDQaXL78pQKrcf36Bpqqsr5+XgS6Ow77e3vs7ggP5yzAeqZnrVlna6bnUnEUFttO4v9HeL5XbNtVKxVUyLPU5JzhkxLHCY5jMxj0iaKISqXCu+++g22P8X2fMIxw3UmeESiYQs1mE1XVcN0JlXyVStf1PNBXfBCEUcRkMsE0TarVKhN3IgClWSYKrTimUq6QZhmOY1OpVNFUFd/zCqaX8HeluK5LkiaUaxp3726K7URVLT5IzpxZKwqq+7f1jvq3QOAFpjR4oICSTknc3e4Brjthbe3cI03wH3dTsVoVUNj19fMFAqJUKuWepU/Xo3W/RCevjePYhFGYd/LaH3sb8VmqUqnSzzMDp0iF+0eHD5Nllgmj8Nj3FkZhsW34qPuZpsXy0nLhdzItU4Rv37xejGLTJBUHG1khQ8TqqJpKFIYFjsTzfFRFAQnSVLy2VVXF88SYkgzIMuHryg83iqwQBgHbO9s0mm0q1So7OzvIkjD/G7oBElimxdbWXVZWzgD3ZUdaZUqmyeDIOD9JEnb3dllcXMS2x4zHYyb7e6iaJmwJn8HXwUzPp2bF1kzPpdR8dKgoKnEUYTsiOkNsvomRYuo0qdcbSJJMvd4sCoskSXLTr8POzjZpmhZbcLKsIEnCk1EqlVhfP48kSYxGIyoVwUtyXRdFkVlaWuS9994viPeSLGHbNpUcgCorCuPhAFVRqVQqSJJc+Lh8z0OedpMkir9XZJk0TXI0hEenM4/jOLiugD7Ozc2RpumRYuXBDszUGzQd4cmyLDoE+Vj08uUvcXBwwObmHSzL4uzZ9Xy0YxOEwamFhvA3HR+vCX/T420q/jIM8I8jQzeeqhn+WcnIsSiOYxOFeWHYOrmjdZIWl0TmI4iOVhgJL92j8BpH71cqmbTnxJbhhQuiazQcDtnd2cUql1mTXhOHB1lBkcVodnp9KapKnMREUYhhlPKOmoRhWMfG+6PREEmWi0ipLMtIs4xKpUqaJty4viECus2SKJgCEa1VrVao1+uFEd+2bd599x329nZRFAXPFYcMOceyRHFUbBDubG8XhZ2W+8amyJZZwTXT09Cs2JrpuVS1UilO+Z7vFX8vNpemMTSiWNnd3UHTBHtIYAwCTHOeNE0JwwhNU4uYkjgOkSRZrK1XKhwc7PPCCxcwTYt6vY6uC6Px7du3uXZtA98PCMOINEkwjBKSJOFOJtTqddqtVlGgxHFcZKnJskQURsRJgpkzjZIckpimqRhnpWLFvF6vU8/N6VPI55QP9sif0ZEu12Qywcr9K9PtsvPnXzgGEZVl+aFdqqe9qTjTk8swdAzj8TpZJ0lRFLa2tpCAhYWFY8b40zTdpNzb3WXiOlhmuSjQrl+/RrVSJfAFFytJEpJUbNKWjQpJmpImCSXLQtcNKtUKQRAQR1HeUcuY8ipaLdFBnm7+TjdFNVXLDyMZhmHgeR6SLHHp0kvcuXMbs2TmCw0Sni/yQ/f29vB9v4C7ep4nkC+eS71WL5IayDIyMvr9Pi++9LIgxOc/JxB2hZk3a6anoVmxNdNzqaPw0yAIMAwDs2QWJ9XpqVpRRKjyYNBnMnGK7k6v16PRaOQbd6LQAXG6LpVKpGnKysoZhsMBOzs7lEriFN1sipPu1ORrmiae5+aRKeJDYzqeBLHSPhqJiB5JksjSlChOUTXtnhE9CAijUGxeqQolw8J13fw5HfmeP8b23mkbcNOtxaNSFPmho8Snvak406eno1FC59fPF12tx9VJr6ONa9cKr5au6wwGA0GtL5mQZaRpgqZoqLrOJDfNA8y12wVC4d7rKKbRbDIYDNA1HdMs4UxEyoKsyCiqSpaBJEsoiky1WqPVaokxfF7gdQ/2qdfqgiyWZVy/vkG1ViNNU+IkLjY5R6Mhy8srVKoV/MBHyWOMpnFgwpLgk8QxGczGiTM9Fc2KrZmeO92PfKjX6uIN+UisSpImWJrO3bsf5KG8Kb7vi5DbZpPxeMTBwb7YZEzifIQw7W7FVKs1XNfF9z2iKKLdbhPHAoo6DadO06QwzUdxxKjXo2SaNBuCp+U4DqPRCD/w0VQNTReG+1LJZH5+XjC3KhX6YYhlWscKmEqlIrpcR7/vp7i9N91aPNrZSpL0oV2qR20qzvTZ1XSjcPq7mv65t7v7sXEUrjehbIlDhWlamKZFrVojq9VoNps4toPneyKL1LIKsLDtOFQrFYIgFD45VaNVF3FQU9K8qmo0Gw0OugckSYxhGALIqquEQSTyP10Xx3HY29shCANKhilyEWWZpcUlut0uh4fdI4HrHnEkOspBGHB+/gVURSUIAtpzSu4rSxiNRiJKK+82HxwcMD8/Pyu4ZvpEmhVbMz1XOgn5EEURRBlG3pESRZJPZ7VT8Hdu3LiRn7pFbMw0fzCKQlqtFmEY4Tg2U3hoGAbs7dk0Gk103SgyEwF6vUPa7Ta6rrO5eSfPQ5TEGDAPjHYch739PRRVoaJVCg+WaZromlbATQFkSWI8HoMElXKFVg5HdAPh3XoW8TUnxeNopbToyJ2m58XfNNNxHS2MptI1nYnrnHKPR+skw32SpmiqJl4nbYNer4eRd4Lh3nguCESI9f2qVO91T0slk3arjaKo1Ko1TNOk2Wrg2C5B4HPz1g0818O0LPzAJ4oj+v0+L1y4iGlZVKpVDg72qdXryLJCkvggSbRbbeI45t133qFer7N6Zo35+XkBc3VdgjBAlmUkJHRNx/M9dvf2IMsIwhBD12nPtamUn/3Gqu3YRaajZVoCMvsZ3JSd6dGaoR9meq50IvIhRyQMBgMODg6KVW5FkZlMJjSbbUzTpN2ew8w7SKqqIMsKqqrywgsXmZubo15vFJ4RyxK3m0wmtNtzYuU9ilBVQWW37TGTyQQ1L/oysqJrlWVZjnQAVdVQFVVgIiThiTroHrC/v4/jOPT7fWRZptlsUqvWSDMxijR0nVq1dkJ8zdN5o536uY4+frX68TMBZ/psa1oYHdXjbCI+TItLIoIoCEUEURAGpGlCpXqvqIviU+Kf8tieIAzo9Xrs7e/R6wkPZqvVQpZlwihE13VqtRqlkokfBGiqyiuvvCqC6WMRXG1ZZRbmF6lVa0RxxM0b13n3nXfoHR4iKwLDEuTjQsMwkBUZXdOZ64jDmKaqBaQ1ioTNQJEVTNNE03WyNOPwsEucv6/EScL29jbOxP7YP7vHke3YXL++kccjlYliwRebLgPN9Hxp1tma6bnSScgH1xWeKcO4d4KeZpipqsZg0Mc0zSJKR6zKtxmNhkRRRJqmnDmzxtxchziO6PcHDIcDkkQEzfq+d8T3NaHZbBWICUUR4b+qolAyTdIsJc1SkjDC0EUmYJZlggkUR5BlqLrO2B4zGo2oVqunoBRaqE9ghv84ut+H4wxnRvfPqz7uJuLDdJJxvlqtIdn3CvbpWPD+2B5N1Qpum6qo6NrxDcB2u138u6ZqrJ8/TxSGJImI4smyjFpVFGFIEo5js7O9TZalxXXuBz6duQ62YyNJYFkVZFlmOBpSr9fxXJc4imjm3L3uYZdXvv4bGEYpJ9nHeJ7g8JGJxRZJku51uA97z7S7JUa/xsmj34uz7tbzplmxNdNzpaPIB8g3ESWxKTcFg0ZRRBSFVCYu/f4hURRjmibD4YByuUKWCf9WkiT82q99swBrvv32W2iaThD4yPkp2PNcdnbNt3UTAAAgAElEQVS2BWk6iojjmOXlFYbDIZAWRvZpByvOmT+KruYhui5hcI8xJLafxOjQj0T4tZFH8sCToRRmmulxddpG4SftlE4LdtsW4y7bsYl6PSpVkSxwdCx41AzfqrcYDgYFuFRRVEpmCVVRRayVqjEcDpFlqVgu0Q0DCZXdvV3MvPM8pdD3ez0y0ty7VaJkChyLqqmsrqzS7XaRZAnf99B1nXK5QhQKyHB6RyBQJMT7yNCdkKYJcRSLg1MiuGHD4RBd05FkCVlWiPJO4TS6J46iB/hcYRgQJGM+un4Hy7SKn1V/0MP3BV6m1WydOB6cssGOSox+f7kRVzN9PM2KrZmeKx1FPqRpimPbpFlGqVQi8IUnY4pxiKKQvb09ZFlGlttUq1WSJKXX69Fstnj11deOEcwlSeKDD97Dtu08A9ECLCYTm48++pCVlRXOnj0nmD2ey8LCIpKkCK9X/nUzMlRNmHttx8EyLTzXJYxCZFkuPgT8QIxe7t/+m6EUZnpW+qTZjKfp6KajpqgEaVp0qIqlCts5ZoYHsaWraTqKquTXskOpVGI8HlMqiYOOoig4joPnuZimha7r9Psjzp9/gd7hIQcH+wXMWJEVNE3HKleolCuUy2W6Bwc0Gk2azSa2Y2OUSui6QRSGZOSHmzCgbJUxDJESoapqgWnJsgxZksU4MknwExHEncQxSOBMbBxbWBuQRN5jr3dIvd6gXLZwbAerXaFslRmPx3zw4fvMzc3h2A6SJBH4YnnGmTjCJnCk4LJM6xQI7S834mqmj6eZZ2um50pT5EOapIyGI2RFLlhVGfeKF0GMF2Z3YYYPqFSqnDu3TrPZolQy+Oijj/jHf3yDjY1rBYtqPB6jqqLYGY/HRcxPGAb530tiM6rTwbbHLC0t0W7PkaVi/bzZaDI/P59n1bXQDUO8qcsCaJqlqVhhRwJJAgnxxp1lJHFcbCLONNPzomObjpK49lRFxbGF+d7QDdrtPP6pLej8ju2IQ4W4BFBkGVmRGQwHJGkMkoSax2XFccT+3h4gNnJNS3SIXnnl1fxAJKEoCuVyhXarjaaqOI5DEseomkb34ECkFhglOp15LNPMx5BVZFngTqI4otkUwYiqqomuWM740nWjAKVOn0OapdRqNXqHYlknS1Mcx0HKQ+ddd8L+3r7oYisKkiQxmTiYJZODgy6armOaFpquM5k4GIZRBGVPJTxxwTFPXBAELC79ciOuZvp4mnW2ZvrU5dg2u7u7eN4E0yyLguUJ7q8buugetZpkaYbt2KRpiqpqxJF4o05TMXqoVKq0222iKETTVLa27mKaJkFgiJNl4KNpGjdv3qDTmadSqeL7Hp4X5P4QH1VV0DRx0t7f36NcLlOpVPJonhqKoorMwsaLx7YMp2gHVVXJsowkSUjTlCTwkXOv1+LCIkEY3odSeDwi+EwzfRZ00qajGIeHp9xDGOctq5xvAAugLpkIjK/XGiiyjK7r+J6HJEkMhgOWg4Asi1lbOw+ITt38/ALn1s/jex67e7tkWcpoNMa2xzgTmUa9jqppzM11OOwe0Gq1qNcbeK7LYDBgOBqiqipLi0uYlkUYBiiKgmWVSXI2V5ZmJKmwAKRZBhm0WmLp5vDwkGqthu26ecGoQJYRJ+LwN802BQElLpVK9Hq9YhNTVVUC3z9xPFit5FDi3V0m7gTLzKHEs23E51KzYutzoCCGpf/hN57qY7bOtZA05dE3fEJ5nkt/e4vFr19CVYXHKYxC1MUmWuPMYz+O1bLyEyjU4gTbtknThCiK0TTxuGN3gixL+WhOx/NywnWSFkT5KIqKgGTHcajVaozHI0Bwp9I0zbcbS9i2LZhaUUQQBLhuRLksQIhhGGLWX0S+bwQYxWNaSy3SLCWOYuI4IstAVRXq9Qa1PCD6JElqBUWTTv33py3JCZG0xlN7vOzTbpynGf/d//KtR95MVRXiOHnk7QAW1tvI+tO/Dk5SlQj9tZWn+piK9ux/B0cREP7Yx7zwDZIkpSTLqLWT45lqzTFpmlKebjEmKUig+j5mySyAvkmaYK4t0PEqNF54ieWlBRTl3mGk81KNJI6pajq1c76IyxoNGY/HaJpGqVTCKJWQFZW55iX8IEDVK6RqQr2h0HxBBM6Xy2Xhu7R0rPYZDN3IjfUC6aIHgYgTMvSiGEuThIZaRy2VMOQqiiI2lcMoQs0yZEl0r6NY8PIMw8D3fUp5J15TRbKEYRinjgerleoTm+ElAxZ/99HXwWM/nl4jSj7Z66hU0vD958eLKpWe/oF3Vmx9DnTz7aefVv/l9UWUcunRN3xC/d9/89d4nnssI8+2x1TPNFlqPb5XaX88JoqiAsrpeR43blzHcRwURSEIAqIoJE3Twl/V7R6gKAq6rhWgQ1VVCQIfVVXZ3d0hjiOiKEJR1AJqOH28qWfE98XtoygUcSXVGr3ejzBNi1deefWYL+bD995CluUiMkgUmKLA+853fpPATU/8/gAUq4rjfjof9ABxLBFGz6+z4M4vHu86KJd1JpPTuy5HdealBfTG078OTpI6SdHM5+8t+eim442//Hmx6XjhwiXCUzxiR31euiYisLqHXTxPQFCbzRaWZRLHCWf+++9ybafL17/9fcrNKt3uPfTBra0hf/RHf0iSJHQ685RKJT788AMkCdrtDh999AGSJPHiiy/h+z5vvvkzvvzlr6BpOrqu02rN8d3v/ibvfHSNXq/Lt77xKuFhl3q9Tn/Q5/r1DTzXBQkMvUS1WmF9/QUUdUgQBCwtLnH7+h0RbB9GDEdDAObac/iBz2g45KWXvkCtVqNcrjAYDpif7+DYwlCfZRn1uc5TZehlWR+eYq0gNztE/ifzkTY6Vezurzay4vm7smd6rtXrdel0Fo79XbksoJ+27bK3J8CClmWxuLh0qqF3cXGJd999B88TAFPf94rtpTAkL7aiolASW4MKq6urxHEiTpZ5ZiGQx+AIz5dpWkRRiKoqmGaZcrnMaDRE0zR83xesHlkmjiPSVMAX4zhmOOxz69ZNXnvtcvE8LcsiiqICHTHddFxbO/dMzMozzfRp6+NsOh69T69/yHA4FIR4TePWrZsMBn2SuEbJLGEYotj9D//hf+f8+TXOn3+Z5eUVdna2uXr157z88hfY39+j2z1ge3uLL37xFTY3N3njjZ9gGAa1WoODgwNGoyGKorC7u8srr1zm/PkX0HWNnZ0dvv/93wVASUe81/+g2GrUNR1P8tB1DUmG0XjMjRvXabZavHjpRRYXlyhXKty6eZN333sHXdNoNlvIioKu6ZxbX8d2bBRVoVqt8vWvfQPbtlEUpdhGrFarM1jpr4BmxdZMn6ra7Q6TiZN3g3rcvHmDbnef9bP/I7u3r1Gv1ymXy4RhyPXrGw+APG3bZm9vl36/R693mI//bJJEYBh0XSfK/U9TMOk0D/ErX/kq4/GYLEs5PDzMR3oZQRAU3hHbtlFVFcuyKJXMgg80fTzTNFleXuHDDz8oumT32Dsm+/t7wOXisTzPY3NTrJZ3OvNF8be+fv7Yz2X6fR0tNBuzpaOZPkOa4h1cb4JllkWBkF+bH2fTcXqfjWuiOzzduls//wLd7gFxnDDXnkMCPvzwA8Iw5O7dW/z0p1f5vd/7l1y9+ia1Wp1qtcba2jkA/vRP/4T333+PM2fOsrHxEYqicnjYZTgccHjYpVZrsL29haZp7Ozc5Vvf+me4R7xSpmUVPqlbt24SxRErKyuoisph7xAJscDS6XTY3dulXKlQrVR57bXLeL5LEASEQYiiKMzNdTBLJSbuhMuvfan4Gkc3oGf61dHzOzOY6bnUlStfZjwesbl5m5///J8Y5QbVLEsYDvskSYokiY0/wzC4desmGxvXePvtt/jpT9/gb//2/+XGjevs7u4iSTKTidh4mhZLUSQ8UaIzpaEoKp1OB8uySNM0L95q1Ot1dN2gVCrlzCwJyxJQRoFkiMmyLMdFxNTrDdI0ZW6uQ6lUyr1fCeXycWNwDoDPxyQbqKrK2bPnALhz5xZxHJ9YQF6/vkEURZTLZaIouje+mGmmz4CmYz9BM6/kNPNrBSLhk8j1JuhHQMWWabF25iwLC/MggR+ITNNGo4miKNy8eZ2//uu/pNfrPnD9RVFEGAZ0OvOsrZ1FVRWiKKLX62GaJpJEbmGQ2dvb45/+6Q3a7c6xx6hWqly8eAlN01mYX6BsVZhMJui6TqlkMhwNRRzRfRuErWabSrmCbhiEQcBg0Gc8Hs1QDTMBs87WTM9IosX/Jr1el3a7w5UrX2Z5eYXl5RW+973v8+///f9GHEfMzy9w/vwLyLJCqWQyGPSxLGESTpKEGzc2qNcb+L7P/v4eqqqxvLzMeDzG87xj20y6rhfRMyDlm0UqtVqdJElwXfeBE/gU++D7ft7el4vx4nRTcW3tHK+88ipAgYgQeYpiJCjW02M8z2N19Uxxu2nBCHD27DmCIChicY7q/ttO/+z1ezRas9HCTL98PYsg66lOylicRgndun2Ll3QDMy9YLKuEpmn82Z/9GWfPnqNU+ogvfOFVJAlu3rzB1tYmcZxweLjPuXPreJ6HqmqMRgN0XaRJ1Ot1DEMnDHVu3LjOv/t3Xy6+rue63Nm4huu5jEbDPDJLF9vMuk4SJ5AfqO7fIKxWq3zw4fuYJZNSqYTv+wyHA77+tW+c+H3Pcg9/tTQrtmZ66trZ2eaHP/wBtVqdTmeBycThhz/8Ad/73veLguvcuXN87WvfKLaOphE8YRgUj7O9vZWPAOWiY5UkMcPhMO9IDQDxd5pmkKZJEbMhy8Lg3mqJEFpJknImz3H1+32CIMzREeJykGUZSZKo1xucObN2zDs2/dO2ba5d+4DRaIzveyiKQrPZKsaDrutSLt9Hf86Lwft12m2nkUAzzfTL1rMIsp7qYVFCt2/fOnbb0WjE7du3kCSJK1eu8A//8BP+6q/+HzRNpVqt02i0qFTKbG5usrCwyOrqGTY2rgES1WqVhYWFwjNlWRZnzpxleVkc7nZ2tpGTYZFFWK1W6R4eiC3JIwkV7ZbANty/QWjbNqsrZ5hMnALz0G7PcXBwgG3bx4oqgOvXNzAMg7Ilis3CNjEruD6Xmo0RZ3rqOuqlkGWZarVGrVbn6tU3AfGmdvv2bX74wx/ws5/9lH6/R7VaxfO8olM0Gg3Z2dkmSVLG47FYmS4JY/pk4lAuV0iSuFjNnprbpYKxJVg/lUqloE+f5JXwfR/TLFEui9y0NM3QNI1arcYXv/gKFy9eOvHkXq1W+dKXLnPmzBrz8wucObN2bBPRsqxjjB0QeIiTCr7TbjvtcM000y9bzyLIeqqpWV5TNSaug6ZqXLhwqSiOwjDA80T+6e3bt4njmEuXXmRursO3vvXr+L7HwcEB9XqD7373t+h05jl37jyLi0vU63UuXrzId77zm7l9oMnKyirlcplGo8nrr99DJFy9+iaarmPogsG3unKGarXGxHEKTEOpVKJWr3Nn8zY3b1zH870iGNr1XGq1GsvLK6yvn2d5eQVN09jcvPNAmPStWzeL3ENJkk4cS870+dKsszXTMdn2mN3dXeo3Kmzs3i7Gf0+i0zYOu939ouu1tLTEaDRiOBzys5/9lN/49S/TbLYol8v0eodF96pUKpGmCb7v512rFEkCyApvlmVViKIAWVaQZWFWl2UJRRFvkGfOrLG+fv7EokmSIIpiXFd4MkyzRJoKDtejjKzVau3UoOjFxSWuX98ARJcqDMNT17tPu2271ebxaFAzzfRs9SyCrI/qNIP9+vkXmFSqpKnwdE4mE1ZWVrl8+Qog4KIrK6sAfO1rXweg2Wxy8+YG29tbVCoVfu3XvoUkyfz4x3+bp0JEhGHIlStf5Td/87eLr9XrdVHVV5j2k03T5Pz6C+zu7bKwsMCqJOF7Hgf7+1hli7Nn11FUpehInRSv0z08wCpbD4xft7a2OH/fksws9/DzrVmxNVMh2x4XrW2jZOJ57rHx3+Pq6MbhVJOJQ7vdOdb1KperxTai63mFL+rNN39OlmV5ELSHZVlYlslk4qCqKpqms729RZalOZrBwvflgtQ+Pz/PwsISsiz8V6cVRNNtwVqthq5r2LaNbdt0OvOcPfvJ0AzitH6x8HiJkcXJ6/Cn3da0LJyZR36mz4CeVZD143zd+fXzfPOb36bX6zI/36Zen6PVupc5od+XuNBut9F1jStXvgpQcP2+/e3vFO837fYcv/d7//LY+1q73SlQMFMpqsL6ufXiPWRj4xqVapU0SXOUi0iaOOx2qdXrDIcDOnMdarU6YRTiTiacPbt+7DF1TUeCWe7hr5hmxdZMRTfr9u3bqKpCpzN/ZGtHtNefpNi6cuXL/PCHPwBER2sycRiPR7z++rf50Y/+ouh6tdtt2u02aZrmeYCu2MLzhIdJkiRc1yOKotwAb1Cr1Ys3xIWFRVRVZTwe4bourVabl156GdM0AREie5JHaqq9vV06nQ69Xg/LKjM/v4jve6Rp+gCa4ePoSdbhn1VI8EwzPS39sl6jlmUVHKwgGPHHf/wn2Pa4eG/RNJ2dnW3+63/9czqdDgsLiyiKwuuvfxugeC9qNpu89NJLLC8vnXiAvHLly0ThkNFoJNAy/R5JknDhwkVsx6ZaqeJ6LrIks7snIMWSJDEcDonjmMXFJTRVo3t4QBRHtJpt1s6eQ1GPg4nDKGRhYZHRaITnuSRJgqIoBRR5ps+nZsXWr7iOdrPyXGT2dncKc/Z0/PcwnbR5+L3vfZ+rV9/MT5EdXn/92ywvr5za9TIMg729GxiGgWWViWOBVWg2owJWalllvvrVr/GLX/yCer2OpgkTuSyr6LrOcDhkb28PyNB1g0qlfOzr3C/XdanV6miaUQBHp1uBs8Jnppkerodxt56VVldXj723CE9ola9+9esF2LTf7/P7v/+vi2LqtPei+7W8vELoKrz3xjaj0RDTMmnUGxwednn33XdYP7eev8fsomsa9XqDyWSCoor3n8FwwMryCiWzhKaKjvre3i5v/+ItsjTDKpeplCtIssTS4hK37jP/z/T51qzY+hXX7q7ADui6QckoEScxqqYV/Jzp+O80nbR5+J/+0x8zPz9Pmqa02x2Wl5e5evVNfvSjv2A8HvHOO+9QKpWOnULbrTabG/0CMDqZTDBNE9u2CcMA0xTr1Ldu3SpCpYMgoNs9IIoifN/PI3s2mJubo1SyxNr1109eu4Z7xnTLMgvcxBTPMNNMM52uo3E7ZauSb9NdK4ztz1LTjWaAH/zgzymVzBxsejZ/bmN2dna4cuUrD9z+UXJdF6tsoesavi/ei2RZ5vCwy3g8ojPXYSdNSBKFXr9HHEWomkapZHJwsE8YBOiGjmGIbMXdvV06cx2ciYM7meB5Lpdf+xK2bVOv15nvzBdfe/9gn7/60V+iaRqVarUg1M/0+dCs2PoVl+e5WJbYKGo0myLDT9WIohDbHhfjv9N01IPV7/d4++2rvP32W7RaLX7nd36XnZ0t/st/+VO+8Y1vYlkWH330IVEU02iU6Ha7xSkUYDgcFNuLiqLk6AfBypJlGc9z82JIxfc9bNvB81xAIopCDEN4N/r9AbruUK1W+eijjyiXKyd+ADyJiX2mmWa6p2fJ3TpNOzvb/PjHH3Dz5mbRQX/YMs7HURAE+J5fGNWjMCSMQjzPY2FhkQsvXKQzN49tj4mimCRNqZZMxvYYSZKYuBMOD7vIisDNVCpVDN2gXhcB70EYFBiIsnVvk3Mw6HP71k0kWabdbuP7Pj/5+x9z5sya6PbPOFzPvWboh19xTXMAxX+bLC0tk5FBJv7tUeb4KcW53+/x85//E9vbW7TbcwRBwNWrP+fGjRs0my0ODva5desWzWab1dVVarU6v/M7v8vrr3+bnZ0dev0enY7ooMVxjGWVSdOUNM1oNJqYpkUcJ/T7PbrdLkmSYudvcHEsMhCr1VpOd48plysoioLnCR/YtFNn23ZBpN/b22VpaQlN0woY6v1095lmmulB3U99B2H8dr1ns0037aC7rkuns1As70xRMEf1qG78w2QYBr7vkSQJnuuSphmqokIG9niM63ksLC5RqVTpdDq0mk2ciVMwuKIoQlFVyuUyN65fFxDUIxI/I7fYXJxqe3tb3M8qI0kysqIQBgFbdzePISOmmImZnj/NOlu/4lpautfd0TQdRZFpNpt84YuvUF1sPfL+Uw/WzZs3Cq+VqqrUaiLe5qc/fYP5+Xk2NzfpdOZYXl4FBEcL7p1CgyB4wD+Vpim6rmEYJeI4wvNcJMF9oNVqc/fuZrGBaJpWDj8NkCRBk/d9n2aznfvBBL+mAAnm+Yu7u7uzAmummZ5QD6O+PwtNO+i1Wo2bN7eKrUJdN1haWmJt7ewDyzgfR+1WG0kSXXRFVoCMOBF8LUVVGAz6rCyvsLi0TLe7j6rpghHouoRRROAHqJpKnMd9dQ8POJvnNsK9jcPFI++7uqYzGo/I0hSyjP2DiInjkGYpvu/nLECx9LO3u0v14uy96nnUrLP1K65qtcaFCxdRVQ3XnaCqWsGMeRxNsw4PDvYxDANVVZhMHCqVCltbWyRJQpaBrqvs7+/R6x3g+z61Wh2Ara1Nbt++zWAwYHPzDgArKwIKWKlUUBSNJBFROEmSEgQBQRCwvb1FtVrLURAavu8zHo+YTCZ50HQ3h5ma6LqO67rHYnGO5i9OC7GZZprp8bS4tEQQ+ARhIMLcw4Ag8As6+tPWtIN+eHjI1as/IwwD5ucX8sQJCc/z6Hb3H6sbf5J2drb5wQ/+nJ3dHXRDJ44iXNfDdV3MkkWj2SSOY7bubrK9s0UUBjSbLb75zdc5c2aNMAzxfY8sS9FUlSiOkGSZ0XB07Gc0Go3wfI+bN2+gyApxHNPr94iiiCiOcT2Pw24X27FFV01T2dndFu9/ccKt27d4+xdvsbFx7dQul+3k3ftH3G6mT1ezztZMVKu1h27tPUzTrMOtrS0ODvZZXl7Ftsf0+z0kSWJursNg0KdWq+F5Hj/96U+5ePFF/vk//y02N2/zt3/7N8zNzZHEMQcHBziOzfr6CyiKQq1WJwh8IMP3vWMMHMexi/ieKXV+GloWxzG6rtNuzzEY9PMRY/WJInRmmmmm0/Vpc7emHfS7d29imhamaeF5LvPzC6ytrWGa9/AQT6qjSz6SJJHECZIs06hWMIwSnufi2AHNRouMDHfi4nkel1/7EhPHYfPOHYajEYosI8sK4/GYkmkKfp+m52T8CRKiK6+q6hEwbIBtj8WB0nVBktA1nTRN8dwJyxcuomk6+/u7BGFIqVR6aLyP7dizGKDPqGbF1kyfWMvLK/ybf/M/F29YQRDwn//z/0UURZw7t87+vsxgMMD3BTNrPB7xk5/8f2xt3SWKIubn59F0DVmWOTg4YDJx+eIXX+Hll7/ABx+8z2QyORbNM2VuRVFEGCbU6w0qlZTRaES1Kjhc5XI5D7D26HYPijXs+2NwTovQmWmmmR6uT5O7NWX37e/vU6028TwX153w8stf+ESGeDi+5OM4DtVaDVmR6R0eIisKSZKgahqWZbG4tIxlmgRhwEH3gN3dHQzDoF4T951Gg8myjKZq1Or1Y0BUVVOPLRUc7O/z/nvvoeUbjZ7n4Qc+hq6jqsJCoSoKO/v71GpVOp2F/5+9Nw2S9L7rPD/PfeWTWZlZ99WHutuSrasln7IxM2bBChwas4RhHTAQQAQvCI4Y726ECV7yll0gdhjYGc/GEmtg2SBghvF4QgvGCwZbxpLVUkuWrFarz6rKrKq8Kp987mtfPFnZXX23VN1Wt56Pw9HKrH8+mfVk5T9/z+/4fif2PnB1WbE9ni6/5uBCWX78gVIGWyX7wm6G68SJF/E8l8cff4KFhUXeeuvNseDfIpDjeR6j0ZDl5WVM0yTP4fXXX6PVatHv98iyjMGgzxtvvI5hmDQaDarVKmEYjj0RrXFTfIogCMiyhKYVYqeSJDM3N08UhfT7/WvqZpXThyUl9x67+0uvt8XFixvMzs7x0EPvp9Fo4jjDt90QD3vtxeI4QpZlarWpYjK6YrO2voaiyJNAC4o+q7W1NfIsR68YVOwqqqYRBkWvqSiKTE/P7AlGdwVR1zvrRGEIgsD584XWlqwoxX6mFD2oux6taZoSBgGiJLK8vDp5/t3XcKW9z5VTjtdbV3L3KYOtkptyLdHS64kC7t6/m5o/deoNTNNCEC6ZK8uyTLvdIs8hy1LW1i4SRSGCIBDHMWmasrm5iSxLdDodKpUKqqoShgpJkk6kHwoDagHHcTAMg6mpKZIkQRQlZmfnWFpa2qObdTsWOiUlJe8uFheX+PVf/3X+9E//H6rVGpZVuSV5mptxudCyoqiTdgVNVQmjsGhS92Frs8Xc3AKGYRDFEQJgWiZJklCpVOj3IyyrQhxHNBoNBFHY08MmILC2dgHdMNF0ne3tLQLfR1VVsrQoXeZ5TpamgIBVsYjGvWGLi0vXVKK/srf2Wv6MpQ3Qu4My2Cq5IdcSLX322a9y/PiThWTDdQKw3SvRZ5/9b/i+R61WZ3l5hddf/x6j0QjHGWIYFltbbTzPJc8v9WUVU4XxWPrBG3sgGggCBIGPqtYu6+dior8lSRLDYQfTNDh06IFJM/3lmavSFqek5N7lSgX5GynC3yqX24tVKoe44HtEcUKepfi+j6Yq5DlsbW3hByGLC4sIosDc3DxJEtPtdpEVhfpUnX6/R5KmTDdnOHS4sPx6881TeL7H1uYmUZygj5NTSZIgyTKyJCNJMn5QTFsLooiqqFQse9Kjdejw4T3Ti7v9Xldm5a+ccrzeupK7TxlslVyXjY11/uN//Pd0ux1mZ+c4fPgBGo0m/X6PL3/5j3nqqU/sCcCunAJaXFziX/2rn+Db335u/Lg+Z8+ewfd9dF2nXm+QJClJkpAkCWmaIooSoiiQJAl5LiCKwljyoejViuMI3/doNqdpNOrEcV9LdD0AACAASURBVDLuBYvQ9SpTU3WSJMbzXBqNZpm5Kim5z7gdRfhbPd5uAJfnOUtLK2xutun3e+i6TnUsSDrcGTDcGZDEMQuLCxi6SRhFNJtNRu6IMAiwq1Uee/Rx5ucXrmpWT9OUPEvpdTvEcUIUheiazsgdFfpaCONBH1hYXGR19QC6ruN6LnZlnJVvtXA9F9MYZ+WvaHq/1XUld58y2Cq5Jt5YNHA30ArDkO9+93mefPJDbG62JwJ+L774AsPhDoqi8PWv/y3/+l//wp7jfOpTP8rW1jYXLpzlxRdfwDAMkiTGsizCMKRenyo0bSQJEFAUZVIKzLJsYkItSRJpmmAYFrpe6GSpqoYohpimSZqmE/Po3dLhbmNqSUlJyY3YDeAqekzaSHn5ZA4C6LoxmSLUdYP+oA+M9xi5aE9I0oQwCBElifn5eaxKBbi6WV1WFPxxADczM8PmZhvXdalVp0jTIvhSVJWlpRWq1SobrXWmm5f6vuyKfUtN7re6ruTuUupslVyTXrc7KR2GYYhhmJimNRYT3MYwdL773ecJw5BabQpBEPnHf/wHNjbW9xxncXGJz3/+Z2g0pqnVpnjoofezsnIAyyq8C33fH3szqgiCQBiGJEk8fnRxpSfLMoIA9XqdSsVCVVUOHTrM0tKlq1v1sh6FXV2tkpKSkreDaZhIkjTp3wqjkM3NNqIgYlUqpGlGt9slzzP6/T5Ly8scPnQYWZYnSu+e7+1V2c/zcXY+ZuSOUMfiyoZhULFtZufmqdeLgSBZlhEQ2O5sXVO7rNTSuvcoM1sl1yQMAyyrwuHDD3DixAtAYWWxtbWJJEkEQaH4nqYJr756kvX1dSDj93//f+Hf/Jv/+apy4sGDBxFFcSz+F7C+vs7MzCxhGGJZFZIkQZZl0jRFEGSyLJtIPVQqNqqqoqoajuMQhgHnz59jZmYWURQJAp/l5QOT5yvlHEpKSt4uzsjBD3x2BjtEUcjU1BSu5xEnSZE1qtgoskIUhZw5cwZREDAMk3q9MZkWPHv2DIPBgNbGBqZlUa8XbhxTU3WCIMD3PAzTpD5Vn5QONU2j1+uys7ND4Pvohk6j3riqBFhqad2blJmtkmuiafrYY6zJ8eMfRFWLQKvZnObnfu4X8H0fxxnyyisnOX/+PJAzPT3HK6+8zJ//+Z9dleESBJFOp8NLL32XjY11oqhoXhcEgUajgaKoVCoVFhcXi03LtDBNE9u2yfMcTVPxfY9qtcry8goA58+fo1KpMDXVQJKKSZ7dpvj5+TujZF1SUnL/4nuFl6osyxw5cpTa1BS9Xg/PdanX69QbDVRVI4xChsMhQeBjWRXSNKXd2sAbK71fOH8Ou2IjiiJhENDaWCdJE9Is5YEHjrC0VPjDipKEqmmomsbQGRLFMbVajaXlZSzTwg/8q7JWl5cndzW3NE2j3drrhFFmv95dlJmt+4CjH13EsPY3bq4tV9Gsh1AUFVk+SvLDHySOI5aWCn2speb/yPr6Gp7nIYgiumZMGtslSWS4dQZT8mg2mgD88Ece5on3H0AURbrdDkmSIkki1WqVNE159Pij9A/KyLJMluWIokCeg6IUWa5LDfQitm1jGCZZVoxLm4Yx3uSK6R7TMFBkhYycOBP29bxcDzm3EcL05gtvAyFxsZK78/oBshTUJNy34+WyTIx084X7xKFHFxGlm58vWZZIklt7r9IoJRwE7/Sl3RJynpIEyc0X3gaSIiHcwjnZL6oPrtzSe3A7yGmMONaJSjZDjH0+R5eTyDHHlpcRpeLv9sjyElmaEgRBYQsWBojjael0ZYU0TTEMY7xvZYV8Q5axMPV4UW5cWWboeZx8/XUkSULXDba2Nwn8gKEzxDAMDh96gDiOWLt4gdpUHVmWiwEhcmamZ68SJN3V0vJ8n36/RxSGqJo6EWt20yoDJ8AZKuTqCqKYMEoSTm8kNOpFFu52EOIhSfrOvl8Cb0QQxjdf+C7BNA1UTd/XY5bB1n2AYYl4b/zzvh6zJs4zk/q01lv4nothWizML6D1PdI+NGOHV17/Bp7nousGTpoShgE5IIoijXoDfbDM+Z0dRuO0fBRGJElCON4cZqZnmakc4uy5M4yW6ww3TiMIoKhqoaGVg5ulBEGIIBQNpqIg4m7mNJtNdF0njiPsuXlsGP81R+B7ZIBoz3O3/sSFMCX4h7/b12OKSp0ovntflMnK+4jPn9+34ykHDoB894ItURL42//w7ZuuU1SJOLq1YGv14Xkk/e78DR3/yCLrr+yvT+fKIwvI0t3b5kVJYOc/7e/nwDi6TDLufUosFdeN9vX4l5M/OEO8cZ7LP3U5RcZLkiRyII4idoY7SGJhA7YzHuIRRZEojsiyjKnaFO5Y36/+4GGOHDlKt9ctbHh8D0VVqE9NEccJnu/SqDdZHsszhEEhxjwzvTSZRoQiU9Vutdjc3CTLUtI0xTQtNF0n8H1836fdbjHKUv7t7/6HsThqhqIU+2mSxOR5zsrK6h4drpshGE2i5J19ji1TxfXu3Pu23/zMz/14GWyV3D1upEll2zarq6ucPv0mQRCgazqKopLnOaIkouk6aZrSH/To9/vFB14QkCSJZrPJznAHb2y54XluYYkhyyRJTDSeJjQMk6EzRNNUFEUlyzNEQSRNU4bOEEVRkC9vQC0pKSl5B0iyRJim4+nogmycvapUKoxGI0RBoDpWjNc1jThJCHyfKI4QBRFREhk6Q1RFRR+LakVx0as6MzPD7Mzs5NhhVEw17k5Ox0m8JxAKoxDTMPf0adWnpnjl1VdI05RGvU7FthEEAduu8sILz7Py4A/jeR5ZliIKIrKsIACyrBBHEaPRCK1x68FWyf5Q9myVTIjCkG63w2a7xdAZ4jg3rvEfPvQAiwtL2HYFu2oXI9BhSBiE9Hs9Xn75JQb9AaPRiCxNUdVCPT7NMqZq9aLPod3GrtjUajUkSUJR1IkMhKzISKKEKEqoqkqe5WR5hiSJxFFEmibY4zHrkpKSkneKaZiTloUcSNN0ohAfxTGO4zAcDknTlCgMJxeJpmmiazqqqmKY5thSLMEZOcRjWzBd1/ZOJ1IIj3p+MTk9v7BQ7J9RWPSfjvta5xcWJn1aWZrRH/TRdR1d0yavp1Fv4HkuOzsDhLGETpblJGlKEPgARZZLVYjje6ecdz9RZrZKgCLQ6vW6SLJcZJGyjLOnT3HkyLEbZrcefvgRzpx9q0htpxk5ObZt44+v9ABEQcB1XaRxM2gQ+ExN1ZmeLkqBplUpJmssq8iMiSJJkmDbVTy3UJeXJKmwyYgi4jhCUVQajSaqWma2SkpK9gdZUWg0GoxGI+IoQhnfjuKYjfV1ZFlG0zSSJCnKgUqh/q4oCoqqIo01ASVJmmS74jieCI1GcVQETP1eIXOTJkiSxMsnX8I0TBbmF3Ach26vU7RPAC+++F36/S6NRpMoKva+yrgpP8syGs0mvu/T7XQxzMIEW1M1giCAPCeOI9IsI8tSdM2c2JeV3F3KYKsEKPoBJFmepM8lUUTTdFrt1g0V2G3b5rFHHwfg5ZMvsb6+RuAHhQ2FrBDH0VhHSxsHSoUNTxgEBJqOYRjEURGUGYaBM3JIsxRZkkmTBMM08T2POImRZRlZKf5kl5aWykCrpKRk31E1jYa2t8zWarXG+08RqOz+G8cJi0vLAGy225PGekWWUWybnEL3z67YsACvvvoK/X4PQzdI04ROZxvbrhZN90lMq91iYX6BkTtCkRU6nU7hGRtdyqrNzsyiqCrddmtcHpQQRZEsS7HMGgCSJFGxKjgjhyzNEEUBXTNBEKiU1YAfCGWw9R4kCkOckUMSx8iKgl2xSeIYBAHPK6b6pv0mSZoQx7fR1JjnTDdneP3110izou9BU9WJwarve2R5VmwukkTFruC6RQp9ko43TDzPRZZlRElicWGRKIrodruEYYimaszNzpUbRklJyV0jiqLJtN8usiwThpemdxVFIbtGv5csF1+zdsUu5Bx8jzRN8YOQmZlZVFVjMOhPtAnfOPUGMzMzdDodFFUtJqvzvHDqkGW6vQ55XgRxuqbj+T6SJDEzM0u326HueXi+hyzLGIaBoihomo6iKFQqldtqji/ZP8pg6z3GleXCNEvp9bqkaTElI8sKsiyT5zlraxdZGl+13RKCQKe7XWTChGKex/c9JFEkDCOyPKNi2WiahkDRr2DoBnEST3wPVU2j2dxbHlRVtQyuSkpKfmCoqloIL19WgkuSZM8+ValU6PV6xElCHEVEcYSAQOOyx+zKOfQHfYJOp8hMSTLhWKleVVRGjsPS4hJRGKLpxURcYUlWrDnz1uminKkXAVTVtqk3mvR6XXTDQBAF0rHfbKVSYWFhsQyw3gWUwdZ7jKvKheN/Pc8hv3JxXowhn3rz1B75h+uVFYXxYyzLYjgcIggCkighiAIzMzMA2HYVBIEkjun3+ywsLhLHEdVqlYowf2d+6ZKSkpLbIArDom8rjouAplple3sbYKKDlSQJs3Nze9ZHUcRo5CDLCrquoagqvucRCCJ2xUZAYG3tArphYpgGcRyzudlG1TTOnj2DKImomko0vvBMkgRFLvxiNVVl5LqomlaUIbMUZzgkiiIcx0EQRB544AE0TccwTARRwDCMMtB6l1BOI77HSOIYSdyrmSKJhclztVqdNKcLgsD09AybW1skcYxpVUjimNOnT113SjHPc5ZXVjBME8uyihJltUqWZiyvrFCx7YnXmCzLhFFIHEUYpnXHf++SkpKSW6HI/vfG03vFsFAYhszMzCBJEmEYIkkSi0tLxZTiZeuhMKyWZRldLyYUJUm6pO4uMLmorVjFY13XJRu3XYRj8dSdnR0qlkUcRfi+RxxFE4mJqVoh91C1iwnuieiqqtDr99A0jal6HdO0GI1GtDfbdHtdwmj/BItLbp8ys/UeQ1aUST/VLmlWyDKIokjFLsp1pmHS6/WIopD1jfWxyJ9AnMQMhw5PPPEktm3Tard49ZWTdDodwiik2Why8NChSf9BFIZsb28jSzL1ep3WxgZQpNOL8mLAyljMr6SkpOQHzWg0Qr5G9j/Pcw4cPHjD9UmaTNTkg8BHUQrLnl15hzzPWVleZTDoEyYJqqYhKzJZmiHJMssrB5AkkSROiuGhJGY4HBLHMf1+j8APQIAkThDFIguWZRlZlmFZFoqiFlOOccxwuIMsy6jjPb/X69FoNK6Z6QqjvZm8srdr/ymDrfcYdsWm1+sC44xWlpImCc1mk9HYO0sSJaI4Zmtrk9m5OQRBoNvpkFM0wHu+x+nTp6hWa7z88ksEYSFqisDY9zDi6LFjRS9CGHDsfe+j3dpA03TmFxbobG/jeh6rq6scPvTADacdS0pKSu4mcRyjXDHpLErSZGr6RutlqQi0RFEkSQuXgizLMMcWOaZhEifx5GL07NkzSJKELMuT+/I8J45jjh49NhEzzbOc4c4OURwXfoiaiuu6JEmCaZrMLywiCiLkOWmWTlTnTdMCQUAauwhcS9A0jIrMnCxLtxSYlbw9yjLifcTloqTdbocovDptrGoajUZz0pAuiiKNRpOKbe+5P4ljZmdn0VSNncGAKCoUkFutdRRFRtN0XnzxuzjOkCiM8AMfVdGo1aZwvRHtVhtZUThy5BgL8wscOXIMWVHo9/vsDIekSVIInrqjH8CZKikpKbk2u1OFl5Ol6XX1qRRFIQxDHMchikI83yMMQ2SpcLtI05T5hQXgauFSURLxA596vTE5XhRHk+BsV8zUdUdIslxMdwuQpVkxaCSApuusrKwyv7BITg55EeBVq7U9r1kSpWsKmhaZOakIyMaBmSxLjEbl3ryflJmt+4TrTRk2Gk3UK0aWVU2jqV19xXL5/apaiIa+9dZper1uMb48bmyX5WKUuNfromnauK8hZzRysCoVcnLm5mY5NraggEKPa+SO+P7rAyzLQtd1giDg+e/8Mx/68Ec4MH/wjp6fkpKSklthd6oQioxWNlaRbzQa11yvahqdTqco2akaeQ5BGKBqhSdhtVoF41JfqiRJrK2tIQC1Wg1RlNja3iQdy0YYhsnDDz8CXDKdDsMQURSp1+uM3MLiTFM1BEGgYlUwdJ0ojqjXG8zMzjI1VSfL9gaMaXbtgDEeZ8s8b0iapEhyYZidpqXS/H5SBlv3CdebMnRGzjUDqyu5UntrfnaOTme7UEMe68kIgkDFtlEUhTffPIWqamOX+6L/CsAdjajYlWs2vZ964w10w5i4zu/+e+qNNzjw+Mf25TyUlJSUvBOK7P/VKvJXXrTuEoUhdtUmjmKSNEXTNCp20fPUaDZRZJUY9vgbHj50mCiO2NnZueFrMQ2TaCwMXeyxArZtU6tNUa1WCcMAwzBxPRfTMFlZWcWn6Lna2toiSUaTsqYsK8zOzl7Vn5WmCZ5XyP5I436z4XCHql3d/5P7HqYMtu4TkjhGucJ3q0gb31yU9PKsGILAcDjE2NHp9XsIgohhGOR5Tp5nxHFhZOp5HvPz8/ieTxSFE4ufIAw4cOAAC/MLk+M7jkOr3eLcuTMTawt9bOyq6zrD4XDfz0dJSUnJ2+VaKvLXI45jNE0v+lbH5HBVj9duSXC3DypLM1ob68RJwuLCIrMzcxiGQRiFtFst7KM2tm3z8smXiMKIkTsiCALEsen0kJzZ2TkefviRQqF+jH+D6l8cRTjjsuFuf5Y7csnyHPnKaEC4pV+/5BYpg637hOtNGcq34IO1mxXLs5zRaIQkSkhi8WH0vMLfS9d0wjAgTVJEXcKyLIIg4NChw7Q3Wwz6fZI0KURK45jXXnsV3TAIg5DNrTaKrBSmruMeBlEU6UUhpmHt2ShKSkpK7iWupxx/ZclutyQI4Ps+G611kqTwRvR8j/ZmG8uyqFQK4WdnVFykzkzP0ut16Q96CAgToVNJlDh08NCe/dMZOfT7IadPvwl5jmGaVCr2JIPV6XaxLHPSMC9JcpH1EkXEsRiqJEtUqzXiOKbb6yIZAhvtHvMLC4VOYsnbogy27hOuN2VYazRv+LgoDBkMdsjSFD/wEQUBRVERRIEcgeb0NBsba4RhUIwaqyqGoWPoBiN3RBSFHDv2PtYuXiROEiRRJAe2t7dJsxTf85mq1/E8F0mWiaKIXMyJoghZlhns9HniySfvwhkqKSkp2X9utcdrUhJUNfr9HoqiIiuFYGkhSioQxzFhEOD7HmfPnplkwlx3xMrKAaBoEVlaXCKMiqb8+XEVwRk5vPrqK+j1ByHPESUJz/NIkoRabQpFlomikKpt4/s+OzsDwjAsLIUUhYX5hcnFeRgEBIGPpqloskycxJw+/SZHjhwtA663SRls3SfsThk6I4c4jpAVhdo1muMvZ7d8mOcZYVR86HJBQBQT0jQlikLyPMMwTEajEVmSICsyhm6gahqHZ+cY7Axot9rouo6aZcUki6IUMhI5iKJIGARkWY5tV4mikCRJ8HyPmekZ5hsLe0qOJSUlJfcSuz1e/cFg0hJxLXux+YWFIuNE0UAvSzKapk2a31VFJQh8TMNkZnqGdrvN4UOHAQpf2HFGqwjGfHr9Hr1el43WBrquEQQhvu9jTctIskKeZ0iSRJqmBIGPaJqoqobruYUIa5oiShJ5nhOGAZ1uh2ZzGlEUcD0Xy7TGGTBhUvpst1plsPU2KYOt+4jrTRlej93yoSiICBSBUZ4Xnl+iIKDIStGrleXouo4giGOPsJQDBxaQJImpeh3fczGtCufOnZ2YrmZpDhSjzb1+D1EUx49XWFpcRpIlppvTt1TmLCkpKXm3k2dZ4cIxzm7talXtdnLZFZsjR47SbrXI80LYeXX1IBcvnCdOYoIgGGsRLmLoOt1ud5IJ08bWPQAIAhutdeI4IYoiojAkDALCMGQ0clg4nKOqReAmCEKh2xXFJGrKdLPJ+QvnybIiECukHkRk2Rj34zpMTdXRdf0q421VUSf6XSW3z30XbMmmwhOfO/6Dfhm3jK4rBME7G7GtVlNq4u37Cup9FUmWcUcjEApn+yiKEAQBQRaJohBJVmg2m4RhQH/QJwrzcc1fmqi/t9ot4iiabAiyoiBKAnGckiQx5GAYBo5TZN1cd8TC4uIe9fg8ThHtB9/RebgSwWwgZdLNF77d4+sKEsV7JyQuolLf1+Pn+d3tUFWFhI//4sf37Xjy3ByJdPeC6TRKWX345p8DWZZIkvSm6wBE5c79/VxJEOcs/Q//Yl+POX2ogaTevd9BTmOMo7dhXn9LB717X1OpFyMvPn7bj/OGO9j14uJylyzNCPMMX19hbXsbTdNoNld4cOWDHHjYY319DUVVEWtH8DyPMAjQDQPRMBF1nWNPPkiWZeR5ji3M0u/1kCQJ2yoyTu5oxIJlFjINScLIdaknCZJRx26uYmYZcRSRZRmGYdBsNpEVhaovFM37goA41tUSBIEkTZiqTVFvNBgOh+RZhihKxOPPyuX6XyW3z30XbOWKhFS7e5vLO2VqxmZ7+9peg7eKqATk+u29lY7j8Oqp1yYCfIahY5oVPNfFD/xCME8UsSwLP/DHdjvFh7Db7eIsOBi6zpkzp0EQ8FwPy7LodDrESYyqFAasgigWU4uBj6qqqIqKMJ6mudzUOu5efEfn4FpIS1OMYvXmC98mhmUx8or3zkoEovjeHt8RL7yFfvNlt4xxeA5X388j3phwECDdwufAsDQ8993nE/f6i619P+YnDs+jWXfvPRA9l0S5c5+5O43z0pm39biTL5/AtCwE4dIe4Hke58+f4+P/06/w4rnzuO6I4XCHp5/+DIuLS2TSiG+/8CIvvvg83/72cxw4cIilpSUGgwH9fo9f/dXfAODLX/5j0jRF1w3C0Oe1177H8eMfZDRyEEWJt956E8cZkuc5i4vL/NTnPs+Jl18DmAimPvzwI2SCTpTAG2+eZ3trcywVVHxeoihEFAQeeeQxrOoMcSpx+nTRM6YqhTF2GIaltdo74L4LtkousSu54HsuhmlNghvHcTh9+hQVu0IQBiiyTKfTZaqWIisyKysriIKAZVq0N1uIgliknNOiF0ESJQb9PvbKKoqqTkac0yQliWM8zyvMqCsVKlaFHJiuVDh69Bi6buC5oz2CpyUlJSX3MoZpEkfRnh7ZzvYWlmmiKAqiKE56nU6ceJHFxaXJ/wHm5xc4ffo03/nOP+M4QwzD4M/+7E949NHHeOqpT+zpk6qMpw9FUeD55/+ZSsXCMMxi2rCziaIodLodkiRhenq6mFi87PHvO/Y+ut0OgR+g6RpZWkj2LC+vTJTubbs6KXleruFV9mu9fcpg6z5lN6DSNB3TqhBHEadPn+LIkWO02i00TUcdX7X0+/2iIT6OmJ6enmSdWu0Wg50+eZYTxTGKrFA1TXzfJ8vzycaiahqqptLZ3ubQocOTAOzixQvUGw1qtanJ64rC8JqCpyUlJSX3Kgvzl5rfd/c/1/M4cODgnnWWVWF7e3PPfd3uNqZp4ThDJElkaWmZPM959dWTtNstnn76x7ncPvahhz7AN77x93Q6W0hSIXS6G1gNBn3SJOEDH3h4kpFqtVtYlcokUJpfWOSpj32cV145SafbQZZkjh07xkMPfWBPMGXb1TK42kfKYOs+5fKACoqAyA/8ws9w5FC1q9QbdQzTxDBNFhYX8dwRjz12nFa7xbe//S3am20cx6Fq2ywsLJIkCcPhEN/3qAL+OIMFhXL8lQHY9MwMne1tDN2YbECX92mVlJSU3A9UxpmgVruF57oYpsmB1QPI0t6WFtcd0WzO7Lmv2Zzhuef+ieFwSKVio6oaURTSbE6TZSmvv/49fuiH/sVkvaZpfOITn+Qv/uLPmZmZJQwjdF2nUqkiihI5+WR68MopQscZ0m618HyPgwcP8dGPPXVHA6rd50vTCElS39NaXWWwdZ+xWzo8deqNSwGVYeL7Hp1OpzAotW2CMOD8+XPomkFOYbfTnJ6m1W7x3Le+SRAGWKaFgMBgp08QBFhWhWq1Sk6Ooii02i0W5hcwTBPXuyTYt0u1WpvY/3juCMO0xqnoUsS0pKTk/qJiVzl6WSAxcoacPv0mcRyTZdmkZ+uppz6x53HHjz/Bf/kvf0W/3yPPczzPQxAEHnnkUdI0ZXt7C8cZYlmVPX1fZ8+ewXGcQvLHGdJutzl37i3yPMf3fQzDAC5NETrj16NpGpZpEcXRHdXOuvz5bLuC47jvaa2uMti6h9nYWOfEiRf54MMHiddOYds2586exfc9At/DGQ5ZX79IrTY1LgPK2HaVer3OhQvnGQ6HRFrEVL1O4Pt4rserr5wkzVIM3UCSZKrVGrIsM3R2EEQRu1pldm6O/ljEr98vJmREQcCq7A224iii3miW/VklJSXvOXazXbkks729SbM5w1NPfWLSp7XL4uISjzzyGK+99j2guEi1LIu1tYusrh7gYx97CsMwrzrGM898ln/37/43XHdUiEinKaIoYRgGG611FheWMAxjMkV4pV3QndbOuvz5BKHU6iqDrXuUjY11nn32q1SrNXTdwI9jXnjhebI0pVqtYVoVNtbXQchRFJU4iXGznJnZOaCwiwjDkMAPqFarrKyuIokS586dRVGUPdYThmkWhtaNxmSj0HWdfq/P0Bkyv7DIo489Tru1QRSGZcmwpKSkhCLgqi2v8PM//0s3XFerTXHs2IP0et1JA7zv9/F9n0996kevCtAAjh9/kl/91d/g93//f8XzRszOzvOhD30EXdMREOj1e0xL05MpwjNn3tpjF9Tv9wjCgDznjpT3Lrcn2uW9rNVVBlv3KCdOvEi1WsO2qwiCQJqlbG9vIwiAIJDEMdVajTDwGTpDGo0miiwz3NkpmiizjFq1BkBWKOyhqCqyLJOTk6bpZCy40NBS9wZghok0LTG/sDDJXFWsyrhnoSwZlpSUlNwqeZ7xqU/9d7zyyknOnTtDnsP73/8wS0tL1wy0dqsa3e42MzNz/NiPPc30dNEL1mhOX8Jw7gAAIABJREFUo+kaznDIwvzCZIpw1y4oSzM2WuuFXZBU7Pd3orx3uT3RLu9lra4y2LpH2f2QQWHl0NrYYFfiJUtTdnZ2qE3VsCo2aZrywAMPsLGxQbfXYWZmFkWRiaOY6ZkZREGk3+8zLUmsHjjA+toafuCjazpplhEGPo16E9fzePPNU1hjWYcojLAsk5dfPjGRlihLhiUlJSW3R7M5g+97/Mt/+SPAjwCMJSAuBSa7AdZbb73JuXNneeih97O8vIquv8Fzz32Tj3/8h2g0mmiaxvT0DAvzixw99r7J43ftgvr9HopciA0nScL8wiKSJO57ee9yeyJVkwmj8D2t1VUGW/cogiDyzW9+gzhOmJ96mjzPsUwL1x0BjP0JR+iaTnO6iWGYTE9Ps7OzQ5okVO0qo9GInZ0BWZqRZoVL/cMPP8Lq6gFefeUknU4HWZZZXT2Ioiiomoo7cnE9l53hENu2qdVqk7LhrrREmc0qKSkpuXWOH3+CZ5/9KlDIQ6ytXeD111/j4MFDfPWrX0FRZJ599r+Rji+kTdPk1Kk3sCyb97//EZ577h/53vde4eMf/2RhZn2NoGZXO+vbz30LBNA0nenpGUzDIM/zG5b3Lp9iNA3zlsqOe7S6RiMUWX1Pa3WVwdY9yMbGOtvb2wwGA+r1BnEc0R/00TUdVW2QZRmiAEOnCLzIYWtzs5hoMU3SNCXLc5yRM3GH1y9T+l6Y32sOferNUyRxjKppE82sC+fPkaXpHqkHKCQnymCrpKSk5NZZXFzi6ac/w9/93d/y9a//LRcuXOTo0SM0m9NsbKzzn//zX3LgwEGWl1dYX1/D8zx0XefkyZewbZs0zXjjjVPMzs6xsrRy3ZKgbVc5ePAQcRLfcnnvnUwx7mp1WaaK60Xv7CTd45TB1j3IiRMvsrq6ysLCAmfOvIUwVnivVGzm5uZob7bxfI9mc5pGs4nn+2xubbK4sEiappy/cJ40TZmqTaGqhfDdysoBKpZ1zWBp12ja9zz6/T6jkcP29haiJCErCvV6IS+hqCreOLNWUlJSUnJ7xHFEo9Gk2ZxGEEROnPgusiwjSRK+HyAIIqqq0m63abU2yLKUj3zkYzSbTRqNBpVKhUazecMgaLe8F/gBI3eE57oIosBjj17bE/JuTzHer4g3X1LybqPb3cayKjQaTT74wQ+zunqAarVGnMTohoEkijTqDd7/gQ9w6NBhpqammKpN0el0CIKAer2OIAjsDHdAEGg2mgS+j6Kq+NdIJRumxXC4U1j/+B6u55JlOUmc4HserY0NfN8jjqJSHb6kpKTkbbA79BTHCYZRWPCYpsW5c2dpNqcZDndwnCGe540FpnfQNJ1z587S7XZYXFzmzJm3eO17r/LmqTdwnOE1n2fXIWS7s4XnupiWycz0DK1265qP8XwP9Qq/S1VR8XzvjpyH+5Uys3UP0mzO4LqjyVVF0RA5zcgZ4bkjkiRleWVl0lwZhiFxEpPlOUKeo2s61WqVMAxRFAXTtAjC4LrB0sL8AmfPvIUgigRBgICAbuiFUJ/nMjVVZ3tri3q9vqdP4HrejCUlJSUle9kderLtKkHgYxgmuq6T5wKGYeC6LhcunB/v+wI7OwNUVcVxHHzfZ3t7m+XlFRAE4iS+YanPcRxWVlb3lBLDKLxmtqqcKtwf3lGw9ZWvfIU/+qM/Io5jfuEXfoGf/dmf3fPzP/iDP+Av//IvqVaLN++nf/qnr1pTcvtc2UwZxzGiIPDEE08CMBjscO7cObIsQ1UUojhm5IzQDYMgCBg5DgiQ5zlBEOB6Lq47Igh8DqwewHGcPUGRbdtMTdUJw5But4tpGNQbDfI8Z9AvvLiiKKI5Pc2ZM6cxTAvbtmm3Nq7pzVgGXCUlJSV72b2IPnz4AU6ceAEo9ujFxXkcZ8SHP/xhnn/+OyRJgqLIPPnkhxgM+kiSxNmzZxiNHDY3N/n0j/34TUt9t6OBZds2L598iTzLMS2LilVBEAVWVlbfVuP8e5W3HWxtbm7ye7/3e/zVX/0Vqqry+c9/no985CMcOXJksubVV1/ld3/3dzl+/Pi+vNj3CpdrqDSbMxw//sQerZXdZsoTJ15ke3sTST7GkSOF5MLp06dQFAXHcZAliSiKUNViMjFJYkzLIo4isixDUWSSJGZra5PZmVkWl5aQJfmaQVG90SCJYxAgTVJkRSGJY2Zn57AqFp3tbRRZmUwmnnz5JaZnZsoG+pKSkpJbYPciulqt8fjjT/D889/h9OlTrK6u8thjj1Ov11ldPYCmaXzgA49w8uQJ3nrrTVqtDYIgwLZr6LqG647wfB9D1687YXir2SrHGdJqt5iZnqHX69FqbZCmKSvLK7z++mtsbbYxLYuZ6dmbZtPe67ztYOtb3/oWH/3oR5maKqbTPv3pT/Pss8/ya7/2a5M1r776Kl/60pe4ePEiH/rQh/jiF7+IpmnXO2QJe5XhZ2bmcN0Rzz77VZ5++jNXBVy7t20lYPD9c7z44nfxfI8wDKlWq2RZRhAEkAvMzs4y2BlADnbVJsuyIhBTVA4/+MBkynCXK4OiwtX+FJZl0el0iJOYPM+Zrk3T2d7eE1ilacpgMMBxHGZn54oGerNsoC8pKSm5HpdfRG9srCOKAp/97H/P8vLqxBPxZ37m5zhx4rsoikK73WZra5s8B103SNOUMAxI07SwUZuevm6pb2+2yhxnq8Sr5CJ2m+PTNCPPc2Zn54jCkI2NDXJy6lN1BEGk3W4xv7CIpmll4/x1eNvB1tbWFjMzl9zLZ2dnOXny5OS267o89NBDfPGLX2RpaYnf/M3f5A//8A/5whe+8M5e8X3O5crwwOTfEydevK6SsJz0eeUfvo7nejSbTZzhEEEQaDSaNOoNgjCAPEfTNWy76NUSgBxot1v0ej0225t4nksOTE1NUb0i+2TbNvMLi5x64w18zyVHoNFoYNvVQq1+rEbvex6tdqsQTU0S0jSdGFZLklQ20JeUlJRw/QrG4uISX/3qV1hcXLrqe2BjY2MSkJ07dxZZFpmdXcT3fYbDHeI4JQhCPNcltO1rCoheylbNTqYRfd+faGK99tqrBEGIruvs7OxQn5piY2ODMAzQdYM4jhGEQusxCAMsqwIUPrmLC4vvWTuem/G2g608z6+6T9iVMAcsy+JLX/rS5PYv/dIv8Vu/9Vu3FWw1m5W3+/LuKWZmLgU2UTRicXEOUbw0KGrbGpubm3vWAaytrfFP//R3fPCRo0xN1ciylMGgj6oq5OQEgYemKVQqJnEco+kqhw8dwPM81tbXEQQByzJptdZxXXes06WytdUmSSKSJJz02w2HQ3rdLZaXFzh8+ABRFNEfDMiyGNcbEUYB83NzjNwhpqEjSQI7gx0URUKWRfqDLs1Gg8OHjmCadym7qSnoU3e2ZLn7nqTbAcLd+r3uEVRdwZy5eyXjTpBiWrf2HtzqunsdXVeYvovvQbIZkljqzRe+A6w7fPz9RtdlKtfZu6empjhy5CCj0Yh/+qe/47Of/SzLy8s3/B547LEHeeyxB/nrv/4LsiwdK80bVKtVBoMBYRiwvr7G0Nlha6vNwQMHOHLkCNVqleFwyCuvvITnulQqFebnZzFNk0G/z/lzZ5idncV1R4iCgOs6pEmhqSVKIpVKpXAnGQ5oNBooskwQhiiqhKKI+EGAIObU6zUs8+r36Fr3vVvRNeWq79t3ytsOtubm5njhhRcmt7e2tpidnZ3c3tjY4Fvf+haf+9zngCI4k+Xbe7pud0SWXR3U3U/MzNhsbzuT26paYWNje08atvgwVfasA/ja176BKGrEUQK5SMWq0vG3ybIYBIEgcJAVlenpaciLD+3mVoeLFy7gBz6yJCOKIqORO/ZXzEjTDD/wERD5+tf/noOHDrEwv0Cr3UIQZHIkwijF90K2trYZ7jhMz8yydvEip0eFp5dhGKRJxsrqgcLwOgjJc1hdPYwsa3heeFfOrRTGhXDrHeLy984KYvy79HvdK+RBjLt9587/lYRBjOfe/D0wLe2W1t0PBEF81b5xJzGCBNe9c+KVlqXe0ePfCeQgwb/O3p3nCo4TAgqiqPG1r32Dz3zmmVv6HlhePsiFC2sMhyOCIJx41+Z5ThgGyL5CHCcEQUi7vYVhGmxtbuJ5Ho3mNH4Qce7ceRYXluj1d4iihF5/B0GQkGWFOIlxPR8QiMKYSIlJ0oQ4iul2elSrNkma4nlF5SQnZzgcceTI0asETO81UdMgvP3PjSgKN0wQvW2draeeeornnnuOXq+H7/v8zd/8DZ/85CcnP9d1nd/5nd/h4sWL5HnOn/7pn/KjP/qjb/fp3jMcP/7ERE8lyzIcZ8hwuMPx409M1mxsrPPVr36F//pf/5rvf/91kjRhu7NFf9BHkmWyLEXXdWRJJoljup0ulmUyOztLZ3sb13MvXQntDFBkBVVRSJIEAFmSiaIQQYAkjjl9+hT9XhdFvXRl0u/3iz6BLMM0LVZWV9E1Hc91Ic9ZWFykXm+wuLjE0tIyBw8dKhvjS0pKSriklXg5llWh290Gbu174JlnPkuSJKyurjI3N4fv+/h+gKooSLKCJEnEUcRwOOTMmbf43ve+RxQXF+Ldbmc8JKWyudmi1dpgNHLY2tokS1MAZFkmiRNmZmdQFAXXcxmNRtjVKpCTJCmGrhOGAa7rMt2cKZvjb8A7ymx94Qtf4Od//ueJ45jPfe5zPProo/zyL/8yv/Ebv8EjjzzCb//2b/Mrv/IrxHHME088wS/+4i/u52u/L7ly0lAURRRF5Wtf+39pNmdYXFzkxInvUq3WWFpaYmNjnZ2dHXzPxxhb8SAIVG0bbXpm4me4vrGBMxyyvFzob6VpMVEoiiJZmqIoKrphAJCTk2UZmq5Pmt6HQ4c4iia3w6i4ktodeDAMk5XVA1iWhaqqSKJEnufEUUQYBu9Z89GSkpKSK7lSKxHAdUc0m0Uf9JXfA7vK8bvfA8ePP8Hx40/yEz/xkzz33DcZjVw0TWVhYRFJlsdVCwlBSNkZDDAtC4GcNEkZjUaFXE8YMT09Ta/XRZYVbLuK57l0uh2mp2cQRRHDMMiznMWlJaIwxHGGxHFCbWqKqak6SRxjGCZPfPzJMsi6Ce9IZ+uZZ57hmWee2XPf5X1an/70p/n0pz/9Tp7iPcluk+Tlk4mWVcF1R3z5y3/MQw+9H9uucvjwUU6efBlFVpBlGXfkEARFn5XnedjVKt1OB0VRqVgVBoM+a2sXOXToMP1BHwC7YtPpdoiimKpu4HkeaZZiGib1eh0ARVXRx1cwu7clUSTwfVZWLwVRcRRRbzQnZUfPHWGY1th8tMxqlZSUlMDVWom704ZPPfWJyZobfQ/sTqj/5E/+FKZpUq3W+PKX/5i1tYvEcUyaJqRpQhxH5OQoctHH67ojZFlGliTSNGV9Y52qbXPo8AP0+z1MyyLqD+j3ulSrNWq1GhsbG1TsClEUYleqCKLA4sJSEYiNDazLQOvmlHY972Iun0wURRHbrpKmKZubbQCazSazs3NIksjQGWJVKhw6fJiZ2Vm63Q69Xg9FUZEVBQRhktHyA38yHahqGtVqldm5OURRIM8zNE3jyNGjEwX6IohqcOTIMWRFwXNHNKenqdcbkwxWFIaEYTBRiT929BiPPXacY0dLEdOSkpKSy9nNXBmGyfb2JoZhXiXvs8u1vgeq1dpkQv3ppz9DEPj4vockSSiKQpbluKMRYRgiiRJRFBJFEWEUkWc5WZ5Tq1UxdGMytb64sIRpmFTsSiEnYRjjsqFNFEU4zojtzjaNegNjXAUpleRvndKu513Mrn1D8d9dzpx5i83NNhcvXuDw4aMAdDodBoMBWZqSZTnC+H+mZdHrdvd8eCVJIoxCLl64ADlYFQvbrlCt1lhbW8MZiVTH5tSWaV1VBrRte0/gtGvHU2awSkpKSm6Py7USb8Tl3wO7WFaF7e3NyXHq9SY/9VOf58SJ71Kp2KiaRjSuRBiGgappheYiOcPhAFmWmZ0trIF2e3UNw8AwlmhG0yiygu/7uCMH3TCZmqoXriDtFm+deYtGo1CuNwyThx9+ZH9PzH1KGWy9i9mt60dRzIkTL2AYJgsLS3z/+6/xJ3/yf+J5Hp7nk6YpiqriOEPCIGBqaoqV5VVOn34TP/AxdAPPc3GcIVNj8VLXc9kZ7lCr1VhbX8MyLWZnZhmNHHq9Lp7rkuc5iqoyNzd3zdd3ZfBVUlJSUrK/3Ky/C4qAbHl5FcuyaTSarK6soGoqW5tbBGGA57qF/lWeI4oiqqqT5xmmZeI4DmEUoioqURwRhiErK6t84xt/TxiGeJ6HoqioqoogiPT7fbIsR1MVJFH6QZySe5L7LthKwoTwHhoxTb2YIIyv+bMPP/4x1tfXcByH1acPjOUcAp7+1GeKFHEUoWkaxx/7ACOr+J0FBAzTxDRNlhdWCKMI8pw0Szl6+H1F06NZpH091yVJEw4uHyLNMqIwZKZZBFYjd8jF9QvMz89f18JnP1Hqiwji/la1BTHDVu7ciH8epNhKcVUoRhmqmO7v8RGJM+HmC/eJdPUBomz/Ns9oBInv79vxbkYWpyRBctN1XpKRJNktHVNSJATp7rwHi482SYWbv/7bYegPkNK794U4LYoE/v6KWsqKiiwr+3rM65EeXsbfZ7WhyPVJrrPH3wrHH3+S9fU1VEUtJgSThEa9ydLSMoP+AIAnjn+INEk5sHIQ0zR57LHjhV9tYwZBEEjimDRLyfMcQRAQBAFJktE0lYce/EDR55UkVOVa0T6Sw+GDDxQDVHnG9994nVarRZIm6LrO8vIySZLgei5nz57h0Ucf36/Tdd9y3wVboRfx1S9/5wf9Mm4Zy9Rwb6DP5DgOzz33LZI4Gmum+KiqShRFeJ5Hc3qaA9NNLjx3Ck3TyPO8KANWLBqNJgAjx6Hb7aJpGoZhIMsyjuOQZRmu62JXq/i+TxLH5HlGlmU8/rFjSKLEoD9gcalIdd9JX0NBFMkv7vP7Vp0nTe/gn7ilko41fwRlhtxp7+vhBXseuHtflFEm8f/9H9/ct+MpBw4QyXdPyPB9T65w9pXWTdepikQU31pgfOiRBWTp7myTqZDwv//b/2tfj7n68AKyfve2+Z/45EdZe+l7+3rMxx//wF0Ltvwc/u9//5/29Zj6A6vEyjt7/Y7j0G638DwX07SYn1/Ats/s+fnp06fQNJ1nfuJHeOE7rzLc2SEIg0Lp3ffJoWg3yTMkQURRNQRB4PADh4nCiDiOimGqSoXRaESv3yMMAj72iSeQJIkg8EnTBFmS6fV6VCoVDN2g3W7z6KPv8CS9B7jvgq37Ddu2mZ+fY21tjWqtRpLEgIDneYUQaZqO5SFksiwjjiMgxxaKoEhTVbRmEXRlWTYRvkvTFEEQkGWZOI6LLFdSXH2JoghCoRqfjDVXSl/DkjvNtb9QyjJ1ScnNWjZs2+bIkWO02y2SJEESJXRdJ8sz4jgmzyHPMwRBQERAVlQ0TSVOEjbbbaq1GoqqkqYpvV6XNE2p2jY7WQZ5ju/5JGmCKIhUa1WyrPBftCv2HpX7kutTnqV7gRx2CxmyrJBmKZpWXJUM+n3CMCCOY5IkRjcMms1pRFGk1+sSjidQgiCg3W7Tam0UDfVZRpIkmKaJOxpNAi1BEMiyIruVpilxVNwfR1Hpa1hyx9i9Mo/jGMuqEI/FdB3n7qmfl5Tcy9i2zdGjx2jUG1QqFZKxllaegySJZOPASRw7h8RJQpameL6P53kkcZG1ksalSkEUqdWm0HQdSZawrAq6riMK4qRXazAYMDc3/wP+ze8NyszWPUBOzvLyCv3BAEVViOMIu1plZzAoREVzyLKc/5+9N/uRLD/P9J6zLxEnMrZca82spdlkN5vVXIczFCVKwhCmBI8gCRAGkEzIAw1sAXPhW1+MAc9fMYOxZRMwxoAtmRbaaG0UKQ5Hoppd1VW9sGuvysolMiMzthNx9sUXvxOnMmtlN6ua3VXxAo3qqoyMysyKE+f7fd/7Pa+qKsJEKYnOVxzHeJ6HIivEcYxliRDR8XiMpmkiVidNUVWFKJLKzpcsy+RZju8LVtcU6zADk870tNTpbGMYZgnJnf7aeYKj6ygMGY/HZHmKLClUq9US0vugx8VxROtEBS3WZh22mT4xiuOYXm8f3TDQopAojFAUFUXNyDPR3ZJkiTzLkWQZXdPIs4zhcICiqsLjm6YCWm2aAgdRqWKaVmk1ieIIWZZRdJnVtbVDf7/rjuhsb+P5HrZls7S8TMVu/4J+Gh8fzYqtT4Bsq0KcxBwp1oQ93+PqlctIkoxl2Vi2jWmKEOkwCAjyHLkomobDIXmeC7+WbVPRddLihGMVHBXxcZNpBIOg0IOiqmiahqppM6zDTE9Vnje5L75E13UmT2h0HYUhvd4+iqpi6BphJG5IzWbrUMF18HGarpNl2VNfDplppg+rB43efd8vKfKKojAej/E9D03TkCUJTdfJ8xxFlonjGFVVBSsxipBTEcEjlpWkYgISY9k2TtVB13X6/R5hGCIrMu32/H35jdeuXcUwDCp2hSgWQda2paOo5i/uB/Ux0KzY+pjLdV1832N9fR27YjPfnkdRVSRJol6vY1cqqJqGJEn4vkeSJGJFV5ZJk4Q8z8nzjCDwSZIYu1JF13WSJCYnp16vi5ZyHDOZjFEUGVVVUGQFRVF4+eXPsry0/Iv+Mcz0jMu2K0TFdu1UURRhP6HR9Xg8Lm9ASFJpeh+PxzQP/J2HHgfIioxhmE91OWSmmT6IpgXW9vYmnc4OlmUyN1cnTVPGY5cXXzpeenM1VaNRb1Cv1wWcutFkPB6zv78nuliShO/7YqqhCt9vmmU4jiM2FmWFRrPFq69+nmvXriIrMsvLK4xGQ7p7XXzf5+qVyywtL+M4NTrb2xiGgaEXHeri182tLY4fX3vo9/Q8aFZsfYzkum7Rfp0gFZiH3Z0d7EqFhcVFxmOX27dvcfzECaqOAzloqkqWZmRZil+s2RuGSRxFYu4uHbbleZMxklRFkRU0VcMwjHK0KEmQ55Qt5NWTq7iuOyu2ZnrqWlpa5tq1KwDltu2THF3HcXQoSB0og3of97jZcshMHxdNvY15ntPp7JDnOUEQous+QRDQbrdJUzGdOLhFmxb5t7ph0DQM4iRmNBqhqSpqpcJwNCIJQyzTxHGcMt5nen04To3Tp8/Q2d5mvydA2vPtBWq1Wtm9On36DJ7vUbnngKRrOt7kyeJAPomaGeQ/JioNwkmMLMlsbGxw88YNNE2A5IaDAfPzC6ysHKHfHzCZjBkM+gwGA6IoJEkSVFUTa75BINrEhRFSlmXy/K75PfADVE3FMAzcsYvjOOi66I7leY7jONQbDeYXFvG92UUy09PXdJtK0zQmE+EpfJKjO00Tm1YHNb0BPe5xs+WQmT4umnobx2PxvjxF+YRhgKZpojOrKKRJQpIm5OQkaUKaJFSrh8f006UrRVExDQNd0zBME63AbDzo+gAYDUdomlZATiUM3cAwDDrb29iWTRQfPsBEcYRdmV0/s87Wx0Si/Wpi6AY3tzYJg4DxeEySJCwtr6BqGjudTrkpWK047PldETwaRaUvSxRMGUmSkucC3Cjov8I4KUkyuqGzsLDI2HXLub7j1MhyQfOTizHL7CYz08+jOIm5evPWz4xy+CCJBA/yqjxK1WqVXm8fAEXRyhvQXHPukCEeSRIbuKbofGVpNlsOmeljo6m3MYpCDMMopxBxHKGqKpPJGEM3aDZb4jUdCXaW5Qh/btwXeblJHFOr1fCDgCRN0A1DvN6zlJxckOMnE0zTZDQaMhj02O6IESESxFHMT99/j0qlglN1qNcbxHHM2toprl27CnCISP/C2dO/4J/cL16zztbHRJ4/Qdd0fN9jr9sFJCzLIooi+r0eWZoyGAyQJAlNEyeZkq+V58RxQhSFKIqCJMlF4ntMnufYto1dqeI4NRYXF2k1Wxi6TpzE5WzfsiyyNIW8OAllaRksPdNMH1RRGDIajZ4KyuFhmIg4fjilWzfEDUiRFaI4RpGVEvrb6+2TZiLyasoMyrKMOBIbVzNz/EwfF029jbpuYJomaZoSRRGqqhEEQbE0JbIQm60Wi0vLAlLquuVrPM1SgiAgzTJqTo1GvUGj3qBajA99z8ObTLArFSzbJs9yLl56izzLMXQDSZIZDMW9KI5jkjTlzsY6kiSV40ZN1Zh4EzRV4/TpM9Rqtcd/c8+4ZsXWx0S2JTY3+v1+eXrQdR1FEYDR4WggTh15Tg6ieKrNkaYZeZ7dTXqfjMmyFMuyqVSqyAX2QZYkbNsGCeH3QpgnpyMTVVXv3lBykKXZTWamD6/pOGPabTUMA8Mw6XQeT3h/nA5iIg4+t+97QLFRuL/PTmeb3v4+USgSGqY3oJXlZZotsYV40BAvITq6hmmgqRqLS8vUarXZNTDTx0ZLS8uEYUC1WkGSxIE8yzJkWVhEXnnlc2j30Oof9Bq3K5Uyrm06apSAVrtNkiSlXytJEmRFoIDGU99iMQGZIoWgGEkWMUeOU2NpeRnbsvF8j872NqPR6KP5AX2MNRsjfkzkOA4XL73F/t5ekdgeoqoq8/OL+IGPNxmzuLhMq9Wi1+uhqipRFDE3N4daGN3FyUaMCw3DRFHERmFeXBxhFKGqCmPXBceh6jgHRisKkiRhWibNZotarYZufTQRGTM9e4rjGOsesvSTQjk8DBMhII6H0Q1TIva9iIe7X+fPZpyfaaaPgw6S4uM4Lk3xzWbroWP6B73GDcMgS1NRMB0cNboucRKja3q5ODWN/Ynju/ihdqvNaDQExPVy9OhxssK24roj3nnnbXzfK8eco1Gfsy98+hAm4nnTrNj6BWm6eZimEVGcMJlMmG/P445c3NGINE1wnFqJZzh9+jSrq6e4du0KsiKTxDFhEKAoCqZplc9rmhZIInJHkmVM0yQIAoIgoFarlXP+6Q2o2WyB5902AAAgAElEQVQxdl2iOEJTNZpzYsQ400w/j0Sn9XDY85NCOTwME6Gq6n3ohochHu5+nfpDN7ceJ9d12e5s43tiezgHwa+zKyzPooZmegJ6WITVB3ltPew1blk2zSLKDaC3XxxSikIrjISHMcvE5GQ4GLKzu8N4Msb3fVRF4eTqGs1GkzAKMQuO1s0bNxj0e5iWjWmKQ1Cv1+PmjRt89pXnN7B6Vmz9AnQwNNRxKmxdvU4YBLTbC1i2RZalyLKCrIjOgGXZrK6eKk81N29eZ/32bVRVoVKpoCgKuq6XQdRxHCMrCoosk2YZeZ6jaZqA1ikKge+LiymMWF4W3bKZZnqSqlarBGlKGIZPHOXwMEyEZdkfuFOlGzo7nR1AXCOariMBc8258jEHi6ppIQWU17Aky2zcuYMkwZGjx0gKD9mTHsNHYYQ7dkniGFXTBGTSmB2MnlUdvE8IU3z0oV5Xh5dDFIGGKJZDDmp67Vimxd54DJKEosikWYqu6SyvLLOxcQfLNFEVBbtSpd/roRQH++m1vbPTwTStcqsxyzI83+fd997BsqySyfW8aVZsfcRyXZfz59/E9zwBJFXnydIM07TY3Npkbm4O07QYj118z6Ner1Ox7fLichyHz372c6yunuLmjetcv3GNIPDxfY88z8myHF3XkSWJNMtEq1hRyrGjmMEraJpWxjo0m3e7WWEUMXZdWn2L0cZwdkKf6UNJNwz0Wg1t6DKZjLHtyhNLITg4Sjn43JqmfaBOVRSGjF0Xu2ITRzFxHBHHCYtLi+XIcWq+NwwTu1IlLm54sqJgGCa6YbC3tYdl2QAM+gNWjohRy4cFoT6oqAIeMR6dFVzPop5khJUky4xGIySgUq1SdZxyOxFJQCDGkwmy71OxKyI9IU1JEjFqXFpeYaezTZ7nWJaNbdvkQBInuOMxr776+bKAyg/8vWEU0u/3UBRZ3HOSuGRyPW8F16zYeoo6CCm1rQqO47Dd2cL3PCqVCkmasrmxWQJPAt+n1WohAXJtjmajyfLyChPvfp+L4zisrp2i1++LoGpJKvxZFEVVLPgppvBuJUkibkKaVna8NE1DVVTGrovRahFGEb3ePqqioqrqUzuhz/R8SFM1zpw5+1Se+2GjlJ/lFB+GIf3+kMFggCxL2HYFxRSP9X2PO7fXabZbNOoNfN8viyqg/HVzc4OTq4KIHYUhhmESRSH7+3tEkejmTW86Bztij7uOojB6YFElyRKKqpbbw9Nf3bFLy5h1pp9FPYkIq4MexkajQZqmhEHAIIoxTLFgMiyKMMu28TyP0Wgo/L6yLIp9p0aw32VnZwfLtjBMkyRJiOOII0eOkuXZocJpaWmJjY07IEmMx2L7OE0S6o1WSZTvbG/Piq2ZnowOtYDtKlEccfHSW8y358tCS1NVkBTSIMIPfHRdI4ljwfqJI+bbK0RxhITE1StXyqJtaVmMMc6ff5PdnQ6yIosbRsFbSZIEoIzwSdOs7G4d7HhVHAdFUUoI3UHuloRU3lhmUSUzPW09zJvyQT7n+KcFWyhNM8LQQ1VVVE1FkmX6BV9IN3QB6i2TFSRGwyFplpIkScEaynBHI+Iopnmi8kCifJ4L2KluGOiGgedNGAwG6LqGYQg20XA4oFqtUqvNlR2xxx1c3LH7wKJqNBrRaDQOPXZm5H+29SQirB7kYRwX94eKUqHv9kmThDTLSNKUmlMjjEKSOEaWZexKhZycq1fexw98NF1Ah6MwIggDxq7L6XsOVKura0wmE3zfw/N8DENH13Qg5+bNG+iGceh7el40Qz88JR2ElE4pu2J9dkKj0RAjiyRBVRSSOKbRaHL06DEmkwl5nrG8tIysKAyHAyaeR5zEVOwqcRLzzjtv8847l/A9D7l4M55ufsRJUpLgASRJZB3KsoyqqSUGwnEcVFUVI5Zitn6QuzWVpuszivxMT1UP42Y9isl17+e47oi9vT3CKMSyLeyKTZIkjIZDxq5LGIaEUchOZ4ccyu4tQJImhGF4aDVekmTGYzECvbN+u8RKgCiylpYWCcOAKAyp1+v0+32yLKVWmyNJkrIrsXHnDrdv3WRvf48sz9m+B33hui5Xrl7h4sULjEYjAt+/7xrMsowwCOj19nFdlyQR6/bTTvVMz6ammIcwDMlzARoNw+CxAN+DiuPovtdTnmXkWYYf+AyHQ4IwJEszkjgmCHwqtk2tVuPYseNkWcag36ffFweHMAjY2NgQ14uq4vsBk8kE172LdnCcGi+99DLHjh6n1Wph2xU0TUNRVAzTFJ21Qf/Q5zwPmnW2npI8f0LFFi1g3/fo9/uMxy7D4ZBmo8HK8krxZ2Ms2+all17GcZxy9Njr7xMEIeOxi2VZONUqki6Ktukbv12p4BX/L8kyURSRJglZlqHrOpUiIiFH3CCqlSpZnpXdqzRNSdKE5pwYQ0y5WwcvzhlFfqanrU7hBdnbm47gDKrVyiO9Kff6WcbjSdHpiTENkzzPGY9dZEmmUq2SZRkTd1yssIvugKqqBIFfpjLkQJ5n6KpOFIbk5GUUyp31dY4eO4aqiN+fPi1O89udbeI4wnGcckFFURV03SAqkh2q1Sr7e102N+5Qq82VBvsbN69zZ30d27Zpz8+TZxlBEJTh1wBJEjMaDdENEY2SJgmu62LbNhISc83ZCPFZ1cO8iT/vJqIkywKS3e+LrXVJEtiGLCcnZ+J5zNXmiOKIwWAA0jE0TcBOfV+8PseTMfW5ORYXF5mbm7tvLOg4tZK39V/+y3/G0A0UVS2nLvPt+edulDgrtp6gDnq0BoMhaZKi6zpb21tomo7jOAwGA9bvrHPs6DFa7TZ5nnD8+NohAzzAeOLiODWiKERCYmt7i5XlFSzLLkGk8/MLuO6ITmfI0qvfEKv2OaRZim3bZdGUZTlSAUmtOg6+55OmCYqiYtl3t0bMJMYdjQSM8uQKxrCHXMzlFdt+qj87Sc6gtvREnzP/KBu3qoTxjV9/ok8p2U2U7KP7HqIxaCdO/EyP9XyvJMRrmkatVsO2Dr9GcvX+txfXdbl58zo7OzuC76PrDIcDkliM8MQWroQ7GhLPP5wIf6+fJYpCwjDiW3/8NaqOg+d5okucZWX3J00FFFgtzO3Tg8fIHRZRVhJKsQUsy8KzcuaVVf6p9zkGgz5pmrG0vEyr2cI6cD34nseVq5cJwxDTEEG+m1ubxHGMIsvkCBRLlmXIklRu/y59oQLSK0hIBIFP69gcpz9/gjRNi7xSncl4zHLWKg9uYZmDqtJqth7b2VI05ZEff9IaRRFHf+ebT/Q566dXy+LTNFXUIHmiz39Q0cTHPPVko5ly9cP/G3xQzANAmuX86//+dwGx4DFyR8W1JV6DYnv37qhwCiZVVBVZlpBlhXarTa/fIwpDPv3yGb7yz14kiWNxAFFUJFmi2WyxuLiErusEQcDp0w+O5PnaL79MnqX4QVjeBx/3Ob9o2bb1+Ad9QM2KrSekez1aaZKysbkhkAyFKVCWFdbWTuOOR2x3OqyeXGVt7TSKenh+fXAEaRhmuU3V7/exrLtFlG3ZHD9+gv/n//wxvf09JEnmxMkT7O7sYhgGpmWRJAlJHNNqtXCcGmfOPtqwPC0Yf+O/+TIbu+ucO/cqqdbEffh974nI0ULS9JP7ckz83Sf+nEplhUn80XkbEt8nUh+/2dbpbPPGP/4Y07Luctx8ny9+6csPHXFMi6zr168TRSEVu8LEm4iO02RMnuVouo5t2/h+xH64h+/7fPrTLz3wZjP1s6RpSr8vAtn/j3//f1OvN1hdXePK5ffZ2dlBlmXqjQbD4ZA0SVBUhWqlQr3RIopC9va65c0nzzMkZNIsQdM0ms02f/g//g7/71/9GY5To1ar8W9+/X849HVsbW3y+uuvkaYZ77//HrIsPF+dzjaDwQDLMrEsG0mSCIKAhYV56nXhvYrjhLm5OuOxy/vvv8cf/MG3udO5w2DQx9AN6vU6w9GQpaVlYu6GY+d5zmDQ58iJox/kn/cj0ff+4fwTf85vr52gWXTXq/MOfvfnj3x6mJIwJv6Ej2YvXbh66PdTb2Ovt08QBJimyd5eF98PyLKsuJ8I20mSpLz44otYls3161cJw4g//KPf4n//zv9KGIbs73eBnKWlFV599Qt84xu/huuOsCybL3zxiw/8em7cvMbt29cZjSbUanOsrZ1C07Tyc7a2Nrlw4Tz7+11arXnOnXuVlQKe+izpk3t3+5jpYIEEMDdXB+DGjesodXGSbrfb2JZNo9Fg4o05c/YsFdtg4oWHnuvgCNIyLW7fvlmOOibeBN/30VSN4XBArTbHysoKrVazHG0AXL92DUUR+W+tVgtJlkpj/aM0PUmdPn2GV774ypP68cz0DOny5cuYllXiDqa/Xr58+b5ia1pkra/fxvM8PE8gSobDIY5TwzKtYitQhjxnOBhgmhaKohHFEe+88zaVio3v+wRBiGmKjEPHcbh58yaDQQ/TtHAch05nmzCMiKKI/f2u6OYaepn5mWYpkRdRcxy2NjfwA48szXBqNZyqgx/4+L5PkoookiSOkRWZuTnhyer19tna2gQobw63bt1ieXmF48dPUK1WuXHjOjdv3mBvr8v8/AJbW5vUagnNZpujR9u0Wm2GwwEAtVqdIPDpdDpUKlXyPBNbW3MN2u02qqbRaLZw3RFbm5uEUYihG6iqiEm5ePHCDKA602NVTkvGYloiNhonRYdUw7btIltRjNRXV09x48Y1bLuCJMkkaQLkVCo2QVAhyzLm5uZ4//130TSVZrPFr/zKr/Laa39+X8G0tbXJ7u4ug8EA06wQBAE/+tEPWVs7ze/93r88dFjZ2enw5ps/4W/+5i/5/d//NufOff4X+4N7wpoVW09IBwukqWq1OWpzdY4cOVoWYQBRHGFbFVzXZX39Bv3+sNwydBynzElM05TBoI9TqzEaDplMxkiSxOraKVRFobvXJU5imo1WCZS7du0K1arDSy+9THevizcRW1mra6eeyBvy83IKmenhGo/d+4JlTdNkNBqVxVWns0MSR2R5jqYJKrXritGhaVolJmGuVgNyZFnGDwKSRAB5bdsWgbeDHqPhAKnwloRhgKZpjMcuSuFtmvoM63N14iTGm3goigqkVKsOWZoSxzFRFIqOWBwVYbwhWZYRdHcFR8u2abfbxFGM501AAkVRCYKAyWSMrmv8u3/3P2GaJi+++Glsu8Jbb53njTd+zGc+83LJv+v1ekiSuP7jWBR/9focsiyztnaKd999G4BGo8lf/MX/x61bN1AUhW9+85t4nsfx4yfQdB1vMmZhcYn3f/pe2UV0R2IR4MyZMwVMdZ3Ll3/K8eMnWFt9Mtf4TM+e7vVFTqUoMmma0u3ukqYpR48e4+bN6+zu7pCmmSDNmzZhGLCz0xccusUl4jguk0tc1+Vv//ZvcBznvoJpa2uL48dPcPbsGm+99S6uO6JerzM/P8/KyhFee+3PSdOMy5d/im1XWFxcot/v853v/AmLi0vP1L1lVmw9IU0LpHuLqunWEoCu6YxGQ7p7XSzL5sbN6xxZWS7RENPV8KVlQcju9/tiY0qSSNO7m05Xr1ym0WhiWiaWaZWjwatXrtztrukGJ45XCKMQTdWeWKH1+uuvUavNMT+/yGQy5vXXX+Ob3/zWM3VRzPRoVasOQRCUHS2AIAjQdZ033/wJO51tJFkURhIyaZogyTJpkpCkCeOJWy5oBEFQ+kiUIl4qSWK63V2xwVQE7C4sLpcg3vF4QrvdptvdY21tDUmS2NzcRJlTS0O7YRj0ej2GgwGKqqCoKrZSgRx8zyfLcrIsJU1FiG8cR4xGcWk+V1UNVdXo9/a5dOktsizj1KlT7O/vcfz4SS5ceBMQjC7XHfHmm2/w3nvvYlkWrVaLkyfXaDabbG5usr6+zng84l/8i98px5Oj0YDz5/+RJBGet2nhF8URSHcXU1zX5cjRo0wmE8IwIE5i2u02nucxHo/RNI1KpcL21had7W3q9TqNZmvW7ZoJuDtCfPfdt4miuMjSVRkOh3jeBNd1qVQqtNvzOI5Dt9tlPHZptebZ3++SJGKkLh5XZWFhEUmSiaKQr3/9G5w6dZof/vD7rK/fEvmKls3i4jL9fo/vfOdPOHnyJGfOfIpGo8IXv/glQGzXdrs7AOzvd9nZ6WDblfL9pNFosrOzzYUL55+p+8oM/fCEtLRcrOlGxZpuJNZ0V1dPcfr0WTRVY7+3R3evy3x7HgBZkul2u/iBX/qzxIaG2EJJErEtmBb/geCsRFGE502Io4j19fVyRd7zJwXP5K50Tcfz76IbXNfl6hWxan71yqPX6+/VhQvnqdXmcJwasiwXPpY5Llx48j6NmT6+euGFFwj8aWpBhu97BL6PaZrs7GyjqiqmaRHHidjAHQ0ZjUYClJskxQp7SJKkRHGMrhkoikxUBN9OJh55DnkO7niMOx6TZcKzJJIQQtI0YTgccO3aVW7evMH21ia9/X0621sMBwP6vR67uzuCDaRqpGlCTk6cCCN8mgkfpAhgF5u8WZYRxxGTyVj4ydIE27YJgpBer8f582+KVfkg4I03/pEf/vAHrK/fYmPjDkHgU6vV2NjY4PbtWyiKwqVLF9E0laNHjxKGMf/wD39PEPj83u/9S06fPkMQBNi2zQsvfIozZ85QLQj17733Dm+9dZ6rV97n6pXLaJrGysoRVldPUalUcGo1BoO+gBJrGlmW0+/3kGS5ND4/Dp0x07Ovg3gUkEqvX7e7iyRJmKZFnmcYhsnCwkJxgLIwTYsgCDh6VGw+xknCL/3S1/na175Oloms3qNHj/LGGz/me9/7K65cucrNmzexLLv0J04BqoPB8D4I62QyptUS98BWa55udxfTNMuPB4HP/Px84Q97djTrbD0hlWu629tMvDG2dXhN13Ecrl65guPUMHRx6jYtC0nK6ff72JaNruklLd5xHFZPrhInMXt7e+KUOxoRFRDDIAjI85xWu10WaA/rrtmWMJc+CLT6QQjx+/td5ucXD/1ZpVItTykzfTL0YUfBByGii0tLDIeiiKpWHV5++bO8/fYlJElC13XiJCnCbMMiRirDHSfkeV5y4MTmk4SqKqRRgiSJzVlFkctuEwg479bWJisrR8X2VBTz3rvvkmYpg36PJEmJk7j0oqiKQpbnRJHoFklI5HlWUrHr9Xq5LaxaKmEYivX3LEOSJGyrgq7rDIZD+v0eu7sdAJJEFHh7e7skSYZhGHiez2QyplqtkCQxhqGzsLDIX/7l6/i+T63mUKvNceLECer1OfIcVlaOkGUZ9Xod3/fx/QDbrpRmf0VVOHr0OLqusbu7w80bN1g7dQrLsjEMsZCQQ8kJ6+3vEycJo9GQUZ7TaDYxDHMGI37OdRCPousiXNr3PSRJRhBTcmRZwbIs+v1+0RE2AalkYKVpSpomfOELXy66XzX29/fZ2FgnTTPOnDmLJOXs7HRK/huI+9P8/AK1Wk28LkcWWaYwmYwZjYZ89av/DICVlRU2Nze4desGzeY8jUYdRVE4duyFsiB7VjTrbD1BOY7DmbNneeWVc5w5e38Bc7DzZBiGaNGqKlEoZugHCyMQ3bLhcEhne4ux69Lv90rGVhzHDIcDnKpTdq4e1l2bGuNv3rhOv99na3OTre0t0jQtu2k/i1qt+UeeUmb6+Gs6CvZ9j/n5RXzf4/XXXyuN3w/TvRDRatWh3W7zS7/0y3z967/M0tIyeX6X1TaZjMnzjLyIkpoCdPM8xzAMLMtmbq5OuzWPJEuQCzSJaZrlY7MsI0lEZmG/3+PmjWvs73Xp7u0y8SbkWc5wNGLkik3DwWBAHMd4vs9oJHAOsiyj6zr1eoM4jsXX5k3wA58wCsnSFFmWqVYd5mp1kcSgihFnlqZMJh7jsUsURThOjcFgSLfbpd/fZzDoE4YizkfTDM6e/RSf/vRL7O7usru7Q7VaJUlStra2aDRa1OsNLl16i62tTd5++23On/8Jt2/fKgpOVYz8C8NxpVJB03Qa9SZ+4NPd3SXPcyqVCoHv41SrxEmCN5kwHA4wDRNZlpEVhe2tLZI0mcGIn3N53gS9SD9wHKf0WSZJXE4mBD4lLwutKZB3MpmQpgIxomkaf//3P6LX22dt7RQbG+skScrc3BxBENBqtWk0mly/fq3sdHvehMXFJU6dOsM3v/ktbNum293BsuzSdiIOfW/yla98FU0z2N/vsr6+zuLiIoqicO7cq7/An96T16zY+gg17TwBJUXe9310Q7+vMAKYjMfs7+3humIUIysyFCbhyWSMLMt0djoMBkMuXrxAZ3ub5aUVNFVj4o3RVK3sWgkz/joSEoYpTMWd7W3SJDk0ZnyUzp17ldFoiOuORKfCHTEaDZ+5i+JZ1ocdBR88JUuShGEUY+8DRPSlpUUURQSeTyZjAQrNxRbtwcgoRVZQFYWaUyNOYrEZVYTepmlSfF5OEYKAoog3/CAM2NjcYDDok8Qx47FLEARirO77hGFQjNtz8jwXiQpxwnA0wPd9kQmaprgjt3xcGEXEcSSuKW8iOm+I2JyJNyHNUioVhygK2drawPPEFpckiZFdr9dHUZQynqRSqXDixAkMwyxMxCbLy0eKQ4rEZDLh9ddfI45Dms0WQRBy586dMgEiSTNqtbs5jrZdwak6JGmCNxnjODW++KUvs7IinnMw7KNqKuOJizsaYVsWmqax1+3OYMTPuaZ4FBD3G0mSsG2bubk5arUasixx5MhRAdKVFer1OqPRiK2tTeI4YjDo43mTwqcF7777NvV6o/B9yUAu7imSzNraafr9Pjs7HXRd54UXXkRR5LJr/lu/9Vv8wR/8Id/61m+WXfTpe9HLL7/Cb//27/LlL/8Tjhw5guf5z6QPeDZG/Ag1Nb4DmKZFu9VmMOhh2Qaaqh0aO7quy8VLb2EYBvV6o9ggESvfkixuWlmWs7W5SavVKseC252tEgHR2d4WK7xWBT/wsCs2SBISiFxGoLvX5djRnw3it7JyhG9+81tcuHCebneHVmuer371nz1zF8WzrA87Cu719gusQohhGDQaDUzTOtTpXF09xWTisb/XpbPTQZJEXJQkSUwLIBA3gTRL2e5sk+cZsixj6AZB6JMWnabp6DFJxOcpioKhGyTJBEVRCQuPVZalSJJEksTF44WhV5bFOTJJYtI0KQqpjCiKaTWbjCeTcmyo60YRP0Kx6p6VHrEsyxgOB2RZSlh0oOM4pt1ewDD00gOzunqKEydW+du//SuiKObYsWPEcUyr1UbTtIK5ZVGpVMVBp9MpPGMyg0Gf0WhQdBFURqMhWZahqRqmaWJZFu12G9Oyy27V6uop5hcW+dvv/TW6bpDEMYZhCp+WJBHHcUmqn+n51NLSPfebdpsoConjmDzPWVpaRlFUkqRBkiS88847uKNh4WfUisOOuD6+8pV/yo9+9Hf8+Z//GdeuXS3SF0JOnz5Du71Av99jdXWNL37xS2RZRqs1z8rKChcunOev//ovWFs7ztrai4fuFQffi5rNFs1mqzTPP4v3lFmx9RHKcRyWl1a4fOUyY9el6ji8+vlXqdfb9z22s71NnuWYVav0xbjuqIhXAMMQBF5VVbl29SpbW1vU6w2ajQY3b14vR4TTIuz6tesYpsFoOEBRVGRZKYz3KZ9+8TM/8/ewsnLkmbwQnhfJssyPfvR3xHF8CDD4qFGw67olC8s0BSh3a2uLdrt9T0SHQI6cP/8m7bbgSSnK1NQelR6s8WSMLBVbipIkPFex2Kybdn+nVGugwDjkuGMxmpx+jiSJj087YVPf1XR8OI0GyfOcOI4Kr1iGO3bJc4oDS1aMNvWiExYiYaCqGlNTcRiGmKaJJImcuTzPGY0GZeSPoqicOnWKt99+C9O0OH78JJIkcf78m4zHY6IoQtdVKpUKd+7c5ic/+TFBIIrWNE1pNBo0Gk2qlSphGDEZj6lUxHXruiPmFxbp9Xpk2R5+4BMEAe++c4lK1aHZbGEYBlmWMZ6MC0zFhNOnz8z8Ws+57o37cZwaX//6CwCl99I0NRYWFnn33XfQNJX2/ELRMQ5pt9sYhsnYdYvNxTGuOxKZnxt3iutSdGv7/R5pmvCd7/xvLC8vMz+/SLVa5TOfeYn5+UXu3LnDn/7pdzl58iSnTp3l3LlXS1vKwfeQZ9mWMiu2PkK5rst2Z4v5+XmOrBwhiiOxsq4YD/R32ZWKuGFI4oaSZikScgmmG4/FTD7PcxRZobe/RxgIzMTq2lpplE/TtNzgmqs32Olsk6YZjuPQaDbZ7mxRqVZnb87PuKaAweFwQL3euA8w+DB1OtvFdtB+GRUj8Axdzpx54ZBxXpIkBv0esiwTRXFZnJiGia6LfL/JZFyOI3XdIM9FJmCSJKSS8GkdDFMPw6AspKaSimvi7u/vPn5aQE0lF+PDaUEWBEHxdVF2w6qVquiYhUFZ6KmqiixJ6LroMEWFF1LTNJHMUIS+Ly4uYFkW3/jGr7Ozs8sPfvA3DId99va6ZFmG41RRVZskidne3i4xD3t7XRHOa+j0en36gz56sV0YRSGKqtJut0mTGC8RcUb9Xg/P84oOt8x8e15k36lqOXYNw4CFhcPdy5meTz0s7ufgn/3gB3+LZVnEcYSqqlSrVQaDAd1ul5MnVwkCn5/85A16vS6OU6dSqdLv9/H9CZ3OFq475Nix47z//k/xfZ/x2OXatavousHCwgJxHPPee++hKCqj0aj0iZ479/kCoSK66/ea5581zYqtj1D3UuZFqHTM+fNvUq/P3Qc2TZOU7e1twmLzUFU0kjQhCILCDyJM9mkqTIm6rpcG+oMIiH6/T71eLy4Qn7m5BmkmqNpHjhxFUZRyo3GmZ1cXLpzn+PETLC2tcOPG9fsAg0HfP/T4Tmeby5cvc+fObUzTRNcM4nhIDtTrder1OpPJmIsX3xIeq6KAGLkutmWhqgpJkpBlKaZpUZ+r43grPwQAACAASURBVPkepmFSqVYZj92yuyXLSjF2FOwq3/dL/xZQFkogOl3TfNCpDhZXBzX9nOn/T7tdYlQJYrwJWZ6RJGkxWhR+lKnfJYoigiAsfGTCg6ZpOrVaDUmS+fSnX6Lb3ScMQ27duk6z2eT69atIkoSmie1EAXUdMR5PCr+buFbDcEIQ+FSrAogcJzFRLEafehGyPRj0OXbsOINBH9d1UVVVZMuFIf1BD0mWyLNMAGRVlblajc72FtXK7AA10+MlIMVzeJ5XFO4ac3NzYplqawt37PLuu5cIwwiQBEC4Xsc0TQaDAc1mm83NTXzfx7JsqlWHblcsdPzgB9/n5Zc/S6VSwbIUsdRVdLK2traeK1vKrNj6CHUvZd7zPbrdLlEYl52ug2DT8cRFVZUCESEV/habSqXCZOIRBD5JkhSnkpgoEieTRrN5CAERhSG6btCen2fQH4AEmqahqRq2ZZPneYmcmOnZ1dQj4ThyGYZ8EDB4UNP8Q0VRyNKM3d0dJEniyMoxnFqNIPCQJImLF98SW3CyzJ076yJ7zTAJwpA0FYXLlFLtjl1830dVlLJoEMWY8EgZhlEGRee5KLJEeG7ONLtNKsaPIN3zFUvlY+BucTYt5MTHpOI57hZdoiASnSpVUQvvV1oUaRJpMZbUNA1dN0ScT5IgSWJjsdmsYxjCV/XTn75Lmqasr68X16WNbVt4ns/KSpOf/vRdTNMouoo+WREYnxTYijiOCYMQJFE8RXEEeY7v+azfvkUQRsjTDp6EQFkoKnvdPc6+cBaJwqu1soIiKzP0w0w/k6aQ4mpVdKyA8rAzjfAZDAYFG0+AfxcWFnHdEWEo+HJXr15GVVXm5uoCRlyEvW9u3uHEiRMsLy/Q643KQmvqE32ebCmzYusj1L0crH6/jyxJVCoVseFV/Hlne5szZ89y+vRZ9rp7OI5Duz0vNkqATqfD7u4uiqJiWRZpmhEEProueCrHjh07RK2XFRk/8Dl+7LgwGRddgWmg9b3IiZmeTX0Qj8Tly5dRFAXP98nJURSVPM/p7GxjmAbkMBwOiaKIPMsYDAcl1yqKI5IkLrtAeS6jKDmKbKHrWgnmFcWCUhRGwiQvSXJxyFCJorjARtw1zOu6Vpy+FdKU0pt1b2drWmiJ/yi6VaLYEo+Vyk7atPuVHSjwJEkuPWZTfMR0bCjy5KySUbS7u8PS0iI//vE/oOsanifigkQnakSapvgFjmJ+fgFZnm6FNYo1ea/4+ig7dpomfk69sIdS/CziOEKRFTRdI09zFFXFMi3CICBNUgzTpD0/j1UcoLzJ7AA10+P1wguf4h//8cdYlkW9Xmdvr8tg0Kdeb5apDZIko6o6nueRZYLPZZoWtZrgYmmaCJEXSKOYuTnBkJNlBcepFVOVkE996tMARfSc/MA8xWdVs2LrI9TBbURd0/EmE3RDo91olI+5F2x6sgCbHgSVyoqM4zgkSVxsUYlTtySBpmusrp4CKAGr7VabiechF+3fOxt3kICjR4+VyIlptuK9mmUhPjs6d+5VXn/9NeDhHomp/+rOndtISOiGgSzJmIaBV1Dj97pdzr7wAlubm0RRJIoTBCtLFCiiyzTtGMmyLA4Gtk00CEta+9QvpaoqpmGSk9NutwlCsfgx7UBNC63pm7qipOXn3+vPmkoQ6MW4T5al8rkkSSr9WneLLRlFUfB9H0kCWVbKbt3UK+b7/gGPmIgZMgyvWEyp89u//busr6+zvn6LJEmIIpFt6nkpWZaWKAzPE6BTWVbIsowwDIrDVlHkyTJ5Jg5P5BKyIqCvvlcY/MlJkxRd1zEMAz/wmZ9f4MiRo+XYEe7G/dwr4RvdxvcmsxDrZ0wHvZO2XWHpZ/y3XVpa5ktf+jKXL7/PeOximiYrK0eZn1/g5s3raKpGuz1Pr9cnz1VkWWZ/v8tXv/o1fvu3f5eNjTtIksSlSxcZj10kSWJurk6aJnzmM5+hVquxs+Ny9uwL9Hr7vPbad9nc3MRxqnz969/gM595+bmIfpsVWx+h7qXMK6p4w+10OuU6vawo94FNDxZoURwxHA5L34aqavi+R5II2OSptdOHqPVTua5LZ3ubOI44evQoFD4V8x7kxEHNshCfLT0O3eH5Xpkw4FQd9vb3SDNR2ESh6KpUKw6arrPX7RLHYvwlImx84mI0l2UiGDoMw4IUL1OfazCZjAnC4FARM+VhybKMrunsdLZJEjG+mHa8xH9gGGZZeAmPV1KOAw/qrh9LFFxpOt1opOykqaqGrmkoqmBkOVWHuAh/F76tw0b7ewu6MAzY349RFBXXHfIf/+O/p9PZRlW1YtM3LzYw725VappGlqWMx2NarTaGYRBFEUeOHGVnZ/eQ4Z8cZEVCLnheaZaiyKITnaQJxAJBoagqn/rSi2UnW9N14ih64AHqYIKEXUQDfZAEiZk+vjqUDlKpEt3zb/u4QmxpaZmlAhVy8eKFMjsxCAKCMCiQLxqt1gq2baEoCv/23/7PJZxU03QGgx6DQR9F0ahUbD73uXP80R/9d6ysHCEMh/yH//C/8N3v/inNZpulpWWiKOL73/8etl3h1KnTAM9cHuJBzYqtj1jT7RDXdUWYrDtCVcWI4vqN68WoROfWrZssLi6yunbqvhigaqVamOF9qobBXL1O4PtIksTq2qlH/r0fRAcBmOI5auWfP6sXxLOuR3kkevu9Ely6cuRouX2YJolYqABqczU0TRXNKwkmnodhGCCB3++RZYKLNe1ICd6VxHAk6O5TsOm0EJtuEYZRiOPUGLmjMgcUKFAPwvelKiqqpkJuoKoK/QLxIIzrh/1aU6wDgG3bpKnIPZSLsOssywS2QVWx7Qqra6fY2tpkZ2e7QEDE3OsBu1ciyiQlSWJu3LhGlmU0Gk1GoxGSxCETv6qqxTjSRFGkMnOxWq2yvb1VkLzFjzVJRTcwS0FSJLI8Q5ZkkMSBK4xCAYbVNDRV5datmwKEOhphmiaNZuuBB6jtAkw77YBNf515uz756nS2yfOc/f29kgZfqVRK6PCjCrF7ZdsVJpMJvd6+QKDkOZPJhCzLOX5cxEh96Uv/pHwfWVk5wu///rf51V/99XIKMj0g/fVf/wWt1jy/9mu/RK/X53Of+wLNZotLl96i2WwyHo95440fc+rU6Wc++m1WbD1FTbtJnj85tGkIYsQ3N1en1WrQ6XQZuy6T8Zg8z6nP1QHY3Nxg4k146aXPcubs2fL5JpMJSRJhmjZpmhL4AbIssbCw9ETfNGdZiM+XwjAo4z2azSZnX/gU169dxYs8ao7oaJGLontxcZHL779PfW6OJElBAtMwyfIM3w8O+aHyXJjMpwXOdMvvIK4hTTM8f1KOHBVFJo6TMjKk5syJJZBQ8KmGo1FZPE2fY+q9mhZ5063CNBXbkEDZCavYFRG/MxzQaDRJkoS5uTn29/cOFG/3mvAfrOn3EccxOzudAg9xOBB+ioqYqtfbR9M08X17fuGLEbmSAvEilcgKVVNRDY0g8EmzVJiQixiVNBPYjLnaHO35BcIweOho0Pcm2JXqoT/TdH3m7XoG1OvtMxwO0DS9jN3Z2+uWndXpIUr8f+ENfkiRvbS0zI0b16nV5gpciyicFhcXGY9dPv/5L/LSSy8f8lutrKywtbVVFlrdbpfjx4+XdoXvfve73LhxlTNnPgWAZdlEUUSlUmFvTwROP8uMLZgVW09Njwt9nm4mZnmMBAfWbsWbKACShO/7ZXbh9PmarRauO8L3POxKhUaziaoqxHHCxYsX7ivsPqyeN+jcs6pH+e4OfuyF4y8yGg3Rdb0Ipg1ZWlqiMq5QrTrYdoVGo4Ft24RhiG3bqJqGoqq44xGKqpLFUbE1q5RFkKBR5wXvLSo7TlPKO4gOluu6YslD04pYq7z0TiFBpVJht7vDeDIuC5xp9+hg4TbdJNR1FVkSxVhSQFxdd0RS4BWiKCSJE3zP4+boevlc06JIURTkgoA/xUQ8SHdHjXfZXyLx4X5NKfQiDNjA9z1M0yKKQqIoxA98DN0gTTOqTpXJZIKEwE/IkkyWZiSxeM+w7Qq6LMaxYRQ+tlNl2RXiKPqZvF0zfbIUBAGSJJf3jqlfMggCPG9Sdk6nEqHtDy6yHcehXq8ThiGGobOyssw//+f/VeGRhF/5lV/lwoU3S3vJxsYd/uzP/i++/OWvcPTocX70o79jMBiwvLxcRoJJUkyeSwUqosXS0hI3blxjPB7TaDTL6LdnlbEFs2LrqelBTK3pn085WqPRkOGwD5ICEmXkiCBO60Ukgo/nTw49X7MhVsf1uTqGaVCtVNjY3Cio3UO2t7a5cfM6r3z2c4eyFj+ofhZD9Uwfbz3Kdwcc+phlW9y+dasc78WJiPVoNJrlllGns42iKFiWzdFjxxiPJ6yv32I0GhXIhrsdpmkBNGXBiU7NXV/SvUWXeO2HpedKkmRkmcJwHpYwz3vHhnC3m5VlGYZhYpomeZaTpOJkH4URUTF2FMb0kCDwMQ0L3dDJchHLI4o7BVmWBAi1REZkPEpTu9W9qIqHabqRKcuFJysVeYu6bkARPzQcDMnJxN+eZVAEeiuKMPD7xVp+XGRR7u/tiQ1Fy35gd2v5QHxLkibsdbtMvAnHj5/Add3ZKPETLNM0CUMRxaOqWrENnGOaZpmRaBwosqMown5Ekd1stojjGMMwWFpa4Vd+5ddw3RGWZbO1tXXIXnL9+lVGoxF/8zd/xUsvvUK/P6DZbHLjxnWaTYGYqVarnD59htu3bwEUCykem5tbvPTSS/j+s5mHeFCzIOqnJM+fHAKLQrGBWIQ+Ly0v093rFqvkKkox9lBVlU5nm52dHbrdXdI0xbYqh57PsmxWllcwTJNeb5/19XUC3+fqlStsbmwQRiFJknDx0lsiK+1Damqotqz7E9tn+mToUcHT936sUqmiairD0ZA4STANUzChfJ9er0ccxYyGQ/a6Xfb396hUqvR6++R5jlN1ytN0nt8dmwlPU1IY1YXxfIocOaipGX26yZckcWlYn2YXToG9B0GlB6VpGtWqw9LiEoqsoCiieDFNC1kWKIcg8HEcB8u0BB7Bn9Dv9xmNhsiy6AxYplliKQQvSH/g3zeVKE5zsiwtisBHF1ri+51uVKaEYVDyxoLAJwx8VFUFigWCYiFAlmTSJGE8mZCTi1gV3yt+ZrFgIyUioPuddy7dd+1PF3SSJC5veidOnERTNa5du/JzvVfM9ItVs9mi3W6XKQiKItIHRBdpmTAMSp9kGIoN9KVHZGcuLS0zHA65ffsWW9tb/PCH32d9fZ1z515lf79bdsr29/d57713C/uBRK+3x7vvvs358z/h0qWL7O/vAzAej3n11S/wx3/8bwA4f/4NqlWHb3/7v+U3fuO/LjErz7Jmna2npHuZWnCYZzVt1WZpwmTi4zg10jSj19snyzIsKyJNM5I4KU+cB5/PsmyqUVRQqEN8X9C/4zgijrRyXPDzkuGfJ+jcs6jH+e7u/VgYhlQqlfLfPIpCdnd3CAKfRr2JU5srzN0+165dJU1FUebnPv7YB/IDY7d7lZejNkVRyiDo6QkcpLKgmm4s5nlehFRnJXvq0NYelODSil3BtCyx5RdHaKqG53sEBe9HUbLSFzUK3NKXJQCq0t0tRklCLbYX8yyjVpsrjP9ZiY+QJKkcO+Z5TlDEZB0cZz5c02IxL7pgB35CeU6W50RFlqOuHeB7aSpJLIqyfq+PrIisSk0XWadRGBKEIa1mS3S4HzBOdBwH07I5tXb60DgRZkb5T7KWlpYZj13a7Ta6rhMVG6nTrcODGYm2XXnoBvph3fs6Fr8/aC+Zerumr9GtrU3q9To7O9v4vsd/+k/fYW3tFC+++AK/+Zu/U2wvbvHlL38Fx6nR6+1z+fL77O7usLGxwb/6V//6mb3fzDpbT0lLy8VposhTm/KsDo71mo0WC4sLrK6usbq6hl2pIMtSwQUSLC3DNNjt7jzw+bp7Xebb82RZXkaIKEphQC5W66edtJmeT03fGA9q6rt70MemhUyvt8/W5h027qzjex5RFOOOXXY6W0wmY8yiMxRFMfVGo/R0TUOjH9Z9Ag7gG+Sys1utOKRpWnaT4K7BfjxxD2Ub3itRbMmEUcj8/AJf/NKXkWWZ0WiIoijMLyzgVJ3iGtFwqg5pmpRdqDRN0QquF4jOm2ma6LqBbVdYWFgqMhzzgm9lFqNGBU3T7osEerwe3f2aFmx5Joz2pmmiaVpZAE6/vvpcnSxN8TyPUdGN1DQNVVPp9Xv0e/uHntd1Xa5cvcKVK++zt9fF97zyY5qu43uz94pPqqYFlaZpTCYi1P3gtqHjOJw5c5ZXXjnHmTOPR310OmKB68SJk6wsr/C1r/0yx4+f4MKF85w79yqj0bDwWQ2YL8Kr4zhC03Q0TSMMI1qtFpqm0+12D10X085Yr7fPm2++QRiGLCwssr+/x+uvv8bW1uZT/Vn9ojTrbD0l3cvUsq37TxNLy8u8fekCnc4OURQxGg0xTYv5hUXiKCIIPEbDIZcuXsQybZaXVnBdt3y+er1ebIx0Cj+MCKud8o8UWZmR4Z9zPc539/rrr9Hv99jZ6WBhEoUhcZKgyApJkhJGkQDiFkZsCdjd2aHZEkiIMAzY3d0hS7Mi+kYljg8T2B8kgUJQymgcd+zeZyqf4huED8so/WD3do8EUkGjUW+yuLjIzk4HVVExDLMImFYwis5ZEATc2bhT5LzdZWgJNlaKokCtVhP0a0miXq9jGDppGpcQVkVRqFadMnhb1/XCkyaVm5YfVmW8UJaR5WKsqKoqaZaWz51lKUkKURyLcW2aomsaeZYRBgFhEKCpWtltg8MLOzWnRhCGbHe2WF5awbLtmVH+GdCHwfs8TA8y1YdhyI9//Pfs73fRNL1k4VUqNt/61m/y/e9/nySJGQwGrK2d5tVXv0ie5wyHA06ePFkig6aHvBs3rmPbFSzLxvc95ucXS4vDs9jdmhVbT1EHMQ9Tk/tkPBaMLX9CGIZsb2+T56BqGlmW43kTevt7GIZBEARl18p1R4wn7qHTytUrV4jiiGrVIStGkGEYous6ll1BVZUHGuQfhaSY6ZOtra1Nvve9v+Ktty4iSTmf/eznOHfu82xtbT0QZHru3Of5znf+hDRNMUyLSrVKt9tlOBoShkHhmbq7TZilKTmxiKhZXGJpaRlvMmG/t0+eZeQFZ0uSHj1KS9PsUD4h3MUiTE/BSZIiy6KYMXSjMOxnHAaZivicatWh6jhFmsJdunocx2VXzDRNJpNxYTCXyhHe/8/em8VIcuf5fZ+4MyLvzMqqrKPvg+zm8CZnd2dmd/aQZkdewYahBSzJGEAPtiTr1QLsF9kyBAOGXyS/2g8WsIBhwIAlrDwCF9qd1e7OLIfkkJwZstnNvo/qyrryjMy4Dz/8I6Ky+iI5bHLYPfkFiCpWZ2ZVZWZF/OL3+/4+X7E5mWDoBqomipQ0TWm3l3A9lytXPs7MwiWSRLC1ptMpcRxl2YZinChiTOQHjjnz4vCTDPRpmgpoKQdw1jCKBJM/FSZ5KRUB13GG3MijkfJO23A0ZLW7lo1mheYZW81Wi97WFkgSw+EgA9A+PEVioV893Wuq7/f7/PjHP6JebxSLNpPJmL//97/H+++/SxwnmGaJ4bCP4zg8++w5gMwjWaNSqXD16k3g4AJwd3eH5eUVXNfBdR2effb8U40WWhRbX6DuxT/s7u3wzjtvUa3WqDfqGdIhpb20jKHrSEjs7m6Lde8sRgRiKpUq09mMpaWlQx6snC5fKZfxXJf20hLObEapZKKqCi++8NJ9RdQnISkWenK1tXWX//v//r+4fv0qzWYLSHn77TfZ29vl7/7d//KBV4tbW1t84xvfEsb5ahXf86jVasLYnnVOLLOM53u4rptBRiVM0xJZf8vLrK2vY5QM7m7eLTYYH0R2z5Wzt9I0Lbxb90JJRRajKFpM0xJQTzhEZJdlGVUVYM8kjllbWytODo1mM+vyRpQrZWbTGfV6HUWWUVSF6XRaBExbVrkwx7dbbVa6XQaDIVt3N3Edt/BmxXE0V6BJpKmSMbXUe+J8QHjAMvIrB9uTYkQqjPEPfX6K30/BMk0UVcH3A6IwRNW0AsrqzGYkSYwsSShZxFAci66k4zp4nldsGc4ztkzTYnVtjeFgwMSe0F1d+5QenoV+VdSd21xN05SPPvqANIXnnnu+WLQBcfzIL9g0TUPTDJaWltjcvFMEUj/77Hmm08NZiJqmo+sGu7s7dDorPPvsedoZ0uhpRQstiq0vUPO4Bsd12Lp7txiNxHHCZDKm2WwynU4xWi3K5TJpStbRElcKpmnSbrcJfP9QbiIcjCpf+o1VymWp8LzouoFpmQe8rjlNxhN+Oz0mRhWZxChHplY/4Gm1m6AZX96GiCrFKOrDT0C/iNJUJow/HZjy88pWGkzdx/t8Sbt9wuTT2yr39no8//x5XnjhuSKeJvcm7e31MIzDW4CO45CmIZKUMJn0STsbnH/ufIE/ADE6yI3s+Sgxj8vJOyeSBM3mabrdleK9naYCtvnWW28d/p2yMaCqqkXXSVXVQ2bz/DHznyGOIvw4BtJDDCxFUTB0gW0Io4i//Xe+RcUU7/nAf47p1CZJE6yMLyUQCzFJVujl0FMx/tSp12rMHKegvfu+z8aZZf7l//A/i5+JQ0z5opOlyDJR/KAwbPH4h0aekiwcW1khOQ9iPfHcef72733nUIi2IiukgK6LzneePSnLB7mRIrqIbOU/Ehmpmk69XsezJ8D9jC3TtFCWFLqra5w9c/ZTvb8+jX7vN16m/gnbm59Vy6qE4YlNyXjPo+yFn3CPX1zTOESPHu/fcaqqhF+iPfo3v/4sNf3+jd/PqjB8Fdd1Odmo8Pe+813a7RaGcdAtTUnxPBcJiX/4d/6QJE2QENiSyWSCYRhsbBzJ/pZczrSWKZfLqM+cIQpDvnVOAE41TcN1XTzfQzKXOHXqNJb7ywXtJrqBp9x//vw8WhRbX6Acd4YsyWzt77Ozs8NsNqVSrRVr3mkq0e/3KZVMDF1nOrXnCiSx4dRsLSFnJ5b5bcZc1WqVY8eXsa+/d+jrXh887tfOznaGkJgvQrLtp5Vu8ZWoso5sPt4326OkVFdInb3H+piS1QE+/0Hn02jqBvyf/8f//lgfU6p2CZKDn9+2bXq9Hq47wzTLrN4z/v3Zz95nc3MzwyYIs3S5XCFNE5aXl3nxxZcPPdaHH/6cW7dukaYptj3hn/3T/5E//dM/y4ohDdM08TyRi6YoKqqqEMcJcRxnJ3dRlOSYB0VRM8+WQD785m9+84G/lyzL1Gp1hsNBUWTlJPg8MzEvwKIoYubMik5XXviJvx8oWxqKIhMEAVIS8Na/+reZlyksisYc4Oj73hwZXmxGKoqMaVosLy/Tl2T6/T66rmWZoy7BC2u8+2f/HhAsI1EgRhyUXgdbiSCKRPH75NuWBwWVeN5kVFWZG6Ee/Iz1/6pK791LKMrBKFIukDDiIsrz3Cy/MS2er3yhRiweCA9cuVyBzjKt50/S2+4dYmw9Kj/x86pu6Oz88f/3WB9z9aWvkVgWAJJl4DoPBsY+DsXrxwhv3Xqsj6kdOwbq4y1AH6WartD7f//ksT1eunca9c4t9jPuVi7fF4ih27dviSIqK/ajKKRUMtnc3qZnmVQqVer1CrpuEs3dfzwe0+v1GE/GKIpMu9Wm1Wrz0X/8MadPnzkE0/6yVfkb34LHfP5bbCN+gZIkiTubd4jiuKht9nZ3GI2G3N28g2mWisJrZ2c7G0XEVKtV2u0lNE1nf28XZzZDVRXu3LnNYNjnyuVfnImjqfqhkwOQbWN9eQeDhT678vFvFIVYVgXbnvDXf/1D3nrrTS4X7wcJ27azQkuYtvv9PeI4wrynSBdFm5t1Vu2MQJ2PvSSSOUO2pumUDKM4oQvsQUIYRtn7N83M68JndcCbku7bzjOMkiBKzxX7+fsxHydKWfhyPjIU3K7wcMcnK74m9hjP9wmjkNlsxnQ2JQi8wqelaSqWZRIXFzhpVrSlWXGSUjJKSBnDyjTNDE8hvGqi80Xx8+XFnuhsJcXPk28Y5tmP4vcQAdi6bhS8L9GRU7O8RzUbY5rkHTYlA8PmP5souuY/PwDGikKMwrifF1o5lmI8HpMmKa4zK7rgqqbhzKao92yrLbTQoyRYXf49rC5R9FqWRf63rmXe462tu7TbLZ555lk6nQ7b2zuHzjuu67K/v8d0ZrPa7bLcWSFJ0sJvmWc6Pk1aFFtfkGzbZmd7h+FgIK7go7g4MeVBu0EQUK0KY2+QjTnW14+wtr5RBInKsiB527ZNZ6lDu7VEGIWHIIRhGNLvD9je2abfH+A/YiOqUq0QxVH2M4ifJYojKtXKQ++z0C9fvWwkHccxt27d4PLlS0wmEyYTmyh7P/i+h2maxIdeX1EUrd6zKOG6MwHMtcrF+HkefZBfpYriQIZs607ANtOsE3Vwks8p8KIrk4/O0oLsnuMcwjCkVCrhuLOicMuLC1FoiCLFMATuQNcNDEMvjOf5bfLCIkkSHGdWUN+TOMb3gwItoWka49FYXPAAgqsFeRElyzKO6+DMZlSqVaqVCpZlZjE/oOsG1WoNwzAKEKk4sciZJSAuRnmKko9DpaITpShKsQ5vGAaGYdBoNLAsC8MQJxZJkvB9LyuaDjpnknQwVtV1bc47lmQFY3yf301EtugCyxEGeL6HaZVFV3S7h+vMMK3yQ/MTF1roQapWa5w+fSZDS8wytMQZ0jSl01kmDMMi3WHmTImikOXlFSRJwjAMymWLvb3d4vGGw0F2wSGONcLvpTEcDtB1HWcOS/K0aDFG/AKUdyHiOGal28WeTLDtCbIs0Wy2GI9H2faQTLfb5eTJM9zdusutmzeIk5jRcIimaTSaTVbX1vE8j42NjQdG/wCMhiMmkzFJmiBLLo7rsLwsTPf3ytB1NGQ0cgAAIABJREFUWq02U3uagR91WvX6A2+70FdHrjtDkmS2t3vC45d5J/b3d+l2uxhGib29fU6cOMnu7g7D4QhJSul0OtRqtftOrKZZJo4j9vZ2CYIARVGzbTYVyP1ACYpSwvPCDCciigfPO/Ab5Vt9ovBJURSKQitXPhJTM5bVeDwiDEUhl3uM4ABkqus61UqNiT0pukY5m+veDMR8kURVFYIgQNU0mAuGzpl0uQ66QQePV6/XsawyU9suLnxMy0JRFKrVKq1miyRNmUwmBDnnzg8ykzyIKJ+8kydnIbs+pVKJcrmSEeJj0jTOmFk6GxtHGA6HAIzHw+K5mVfuxUpT8P0ATVMzD15SYDAOMhtTZFnNRruis+U4Ia7roKhqsRRjlSuEwcFSDFAUYZIkiVctTRcF2UKAgBpPJmM+/vgilmVlkNSD8Z5lWYRhyNraGsPhQLzXw5CVzJKytXUX3/dRVYXxeFxsy89m4gKpUW8S5Xw4VdDvRZSQ9cv6lb8wLYqtL0C5Mb5cLhPFcVb5RyiKnMWGWFSrVWq1Oooq47oO4/EI254QxzHVWo0gFHlnx45XkRAm4a39/SwcVFwdh2HAjRvXeC1oZ9RrTUR+uC6j4ZCVlZUH/nyGrmO0W1/uk7LQ55JpltncvJ216RN0XSeKYgyjxHA4ZHV1DUhRVZXjx09y/Li4XxD4RFHI5cuX7/N6jccTplM7I6C7hFFIkqSoar4hSLGxF0URrusUJ/P5Mdw87iB/n89nIM5nJZbL5awzkxZFnvCCxVmHTUXXS8XY8IDVdVCI5OHUsqygqkoWdC2KEglhvg8CQWD3PX/u55DnqPEHBZtZMlGzzlvg++JiZGoTBgGapvEb3/gmH3zwAaPRSGQXZp09wQXLO2RqtqkpkyQxR48cRVYUHGdWxAXlv7/v+5StMivLK1z46EPiOEVRpDl/V15gCl+n2F5MiuzUXPcb8ileg3xcmiYpf/lXf0G9VmOps0yz2cQ0xYnso4sXGA2HJGmCqorxoqaLQjAKw8WW8q+4gsAXcVzJOrIsc+fObT7++BJHjx7jxImTVKviIu5nP/sZabaI0mq1iWPx+dbWVtbRLRHHQXEcCcMQ07SoVitomsH29lb2HdNiMeVpxJAsiq3HpHl21c7OLqvdLs1mk62eeCMZho7rurTabTaOHBUHuSRBQeb2nds4sxnd1TUm4zGj4VAAS+sNbNum2WxyZ/MOpmlhlITP687mHTY2Ntje3hGjnnyMI8ugqkyn04cWWwt9deUHfoElKKcmYapRrVZZXV3l448vFkbUIAgQIdFNfN8jDANWVrr4vliL0DSdMAwYj8eIIkzDsiqEGeojH+fFcSwy9QrfVIzvRwUtXVWE/yg3rOejtXx8KAqnONu8oyg4ZJnCgzTfjQqCEMuyME2T4XAAiLGlWTJxPbcg0M8cpygscmO5YFpFmYFeZBiKEYTOeDwU3bU0gRRUVXingjCgUq4wikbkY9X50Z8sSbgZ/FPV8pgrnZYhAnSrtRrNksbuzg6ljN01tW2GoxFR5BTJDXnBWalURJEX+Pzmb34b27ZxHedQ1whJONaGoyGz2QxRsCnktVO+qZimkP1Z86Dw7Xslfjd/jumlQObfGo1GeL7PlSuXKVsW1VqNQb/PSneVSqnM3t4uYRhQKpmMhiPW1gUmZBHh8+QrKI4pgvBeqVSyi4ZHazqdoqgqSZqyvd0jScRo+uLFi/R6PdbX17l79y5+IDaWw1Dkc54+fZqrV69maBY1WwZJWVtbwzRNzpx5Btue8OGH4gImCIRNRpIkTp06XRRyT5sWxdZj0L3sKlXtc2fzDkePHGVtdY3hcFj4VpbaS6KjJcvs7e/h+2LcQCoO7PV6g8l4RBwnIq7H0IWB957vKQGk3Pf1hZ5c+YHPYDAoujVJmhzqLhw9eox+fx9d1whDn1qtnuERUnzfOxgL9Xo4zhTTFPyo2WzKdDrDMAyazSaGUeLq1SsFz8Y0zexgR8GREmM44S3UVC37muh2xTGFAT3f6kvTOBtFSsW2XP44Ytvu4KBbrdaY2ja6bhAEPp7nFYVcEPjZCM4sNv9kWaZUKmGaFidPnmF3p8doPELOonjsyUSEuSsKiqwQJzFmycridsyCnB9GYeY5E4Z7EXtjkqYJ09kU0zQxdIPAD7L4kZD2sTJqqGFaFrPZTDz/mkGn00FVFfr9fvYzGlmhJX7WUkk8p/mJ5cKHHxRFrYCqytjTabF9nGMcDhdUaVGAfZrMxfz1gYPtzjgSncbZbEYQhsWG6WAwIAgDwiiiXq8RhRGaruN5HnLW5dN0HWf2y13BX+jzKe9OKaoqlmaSmMGgT6vVfmTBFQQ+o9EQsXQzwfd9PN8TKQW+y95+wNVrV6jX6pRME0WWkVWVTqdDkiQ0GvUi8DoMQzzfZXtnD1UVo/l5Or2u6xnmyHpqCy1YFFufqE9DW5/naQFUKzX2dne5cOECq2trVMplKtXKobidarXGmbPPcHfzFqpqcPPmDfb3dsUYR8ujRsrY0yn7e4IoH0ciIkXP+CVJmrCysiJGMJkhON9MqtWezjfs06zpdIqqKgUjS5EVDKNELwPZnjx5iiQRo8PpdMqdO7dxnBnd7ird7tqhHDQQRddPfvIWiiIKkSDz6pimxXRqU63WCEMxrpvNZkj37cuIgisvnA4b1HOf0tyt04Q4zgu2tCge8qLGcWZYlkWz2WQ2tQtkQW4EV1WNJDngTpmmia5pYpSpa7TbHdbWVmk261y/do0ojlBVlXq9jqbr2UHbRMr+DpIkplyuiNFge4nRcEAQhpmhXym+j+u4pKREUUx1rXZwctJ1kiTh2tUrdFdXuXH9OvVaA9dzGQ4HJElMp9PB87xsJV6MCauVKqZpFtmDN25cZzgaYpbMbDnA4e7du0RRlNHr/bmsxntegfTAD/fZJEaRcZIQ+IEowrLlg6kzE+NeWSEKQyYTMUquyDJhGmZAXBYRPk+B8u5UnquZf5xOp7RaDy628gJNkmUkJJI4EUgUQ8f3fBRVRMIFvs9wNKCeNNB1LbPC2LRaS3S7K1SrNRxnxuUrl7GygPg4jnn7nbfprnSp1+ssLy8X39f3fba3e4ti61dRn5a27rgzylYl+9xhNBJjQNu2cWYzXNfhxRdeoru6el98jlW22N8b4Ad+5o/RCYOQqW3j+R7Hjx3PvCdi1NFdXcUyLfzAp6RqdFdX0XUd0lSwhSSZklmi0Wx+eU/UQo9FuT9qXpqm42Qg23x9//r1a+zsbNNsNjlz5iyqqrK9vUWlUinel7Zt8/Of/7TYTBuPR/h+QKlUyrxGEjs7PUolC9edEYYBaYYfEB0uuehcRVGa+Ynup7jnyjcD863E7KuF70qRq1SzSB1JklleXuHGzRukqWBqlctlcdsgQM8uNLRsmcP3Pba3e5RKpaJT1lleoVy2SNMUyyrT7a7S6SxzJUMhaJqKrutMbRFibeg6JdNE0/WMt8Uhyr2cea1ms/zkJIoxWVEwDAPbtmk06kxsm4k9oVatU6vXiaKQ27dvsdQWiwi5J6VcqWBmJt+dne2C+n536y7D4aAocvPf6XCdlW8izn/t0cXWvYsDB13ImCAM0DWdOEkYj8aiaM46X37mS5MlCXsyoVwp02g2CLKuxJEjRxebjE+w8tHhvBRZeWRuaV6glctii1WWJeJERFRpqophGAwHA1LEsWA4HCDJMpZp4XkCX3T79i3CUITX65oulmH8QCybJAm3bt/k5ZdeOfR9c+P806pFsfUI3duxmt8CnD/YWGaZIAwwdIPhcCg2otBYscqsra3jBz62bR8qtPKO2XQ25tq1a1jlMu32EpPJmCgK0HWNsmVRrzfQdZ1bt24VRvpWu41pmnztay9QrVZpNJvManXCKCj4RcPhAE3VqVQri03DJ0TC/B4XnS0QB8t5Rla1WsU0LU6dOn3fGCDvgNm2zXvv/YT9/T0Mo1QsXsiyhOc5gESj0SQMA6IoYjKZHEII5PiFfOMtVx4H8yjlHRjh1xIsqSQRnLlXX32dix99xJXLl4gzbEG1WstO/grlSgUQnabpbEo8ibKV8iAj08f0+/u0Wm2+9rXn7zvhR2FIrVYvCiWAKI7xfZ8gK2QNo4SiKDiOI+JEVBXTNDMfF0ynM5r3XKiIcdqMZqvNbObQXelmf+PCI7naXWXmTJEVmbJVplavI0sS3W72956KgOrhcMhoNCx4XWJ0mhRLBrk5Pmdo5c/1J0wP7xsxHmwoZjywOCGUBGgyANIwJElTZElCy3xtkiRjlkqcOHGKNElQS1phUn7YJuOi4PrqKx8dqnPHlDiJ7yvA5pUXaJIkUa1WxQVgKv6+Wq0WdnYBA6n4ehwhxRJ2PMEsmdmyjZjCzKZTfE2jZBo0m60sUD4h6keHsheBp3YLMdei2HqE5jtWue6NzIGDjEIA3/dQFZUwCuksrT3wPvMds6WlJTbvbOFkeYhLSx2azSa97R5hELK1dRd7amfoiPmQ2/vdWlEU4XkeZatctGzz+fyi4Prqq1KpMBgI07iceY8eRPl23RnWPe/LvAOWv7fG4zFpmjKZjAtPVO4L0jSNIPCJ4yTzGFlEUQ4QTQ6NreaLpnzD7+BkfqBDkTSylI0uVUqGgWla1Os1er0ew9FQnOhlJdsehPW1dUqmhaZpjEZDxqMxJbOEhMRwMAAJnnnmHO226HJVq1W2t3tcv3616GpVq1WiOCp4XrlyyOjMcQSkdM7sX8qCpXOjf7VSEUVeHB8q2MIMBdHtrvLxx5eE3yRNiy7WseMncB2HZquF6zjFbfNxSLe7wkcXL+C6ToG6yLMhgyAs8iHF833/c/tJenAxJhUcMUVVkCSZKBQnwCRb3Uyz7lYYhCiyysrxVc6fe+5QEXX5yuUiwBooPi6M80+GxDGlD1D4GeMoot6qP/Q+8wWaloW8P/vsOS5f/pggCMQWcbZBLEkS8VyqQxTHOI4jLmDiGFXV8D2f/b19fC+gZJqoikqtWufOnTvZFqNV+B2fxi3EXIti6xGa71jlelhkzunTZwX3KhWZUWura8WK9b33me+YSZJEvdGg5JUolUpFWHAcJ9j2BDPjmKiaRhLHLHWWOXb0OH7gF5wtezIRJ4woRkLCcRxkRSmMzVN7ukA9PAEydINWq1VsI+qS/MAOgmmWCcOAOI7Z2dlmOByRJBHNZrsolHzfyxAIwmTu+0GxHajrehYqnVKplFlbW+PmzZsoivwAjhWZcT3IwpMfNOKCA1p8WhRokJJknq0witjcvCMI0bpBkiT4vpdtyg1RsyLHybIJPc9DQjCwavW6MHvHMbs7u1y6eJGVbpdOp0M4hyhQlep9hVIcx5imiaqpOI5LlMToukqtKvAqaSpGiFbVQpJkgaaYy19Mss7YxpGjVKs1jh09xv7+Pp7viYulTgdFlmm2Wpw588wDX9fjJ05y9drVjK8nvGEgFUXWQfaknIFRo+JElr8Oh0Ou79e93a388TRNp91eIgpDFFVlf2+v6JjlUUD5NrOmqvz1X/+QRqNBs9Vmtbt6KMA6173G+fkx49945RxBEAhrw0K/dOm6kaFMDrYR6636I83xeYEWRaL7NJlMsG2b1157nbt37+LMnKLblaZp9vcmiVF8HDOejJlObaIoEoiaOMR1kyzVIsbzfVaWl0nTlOlsyngypmyVee21159avxYsiq1Har5jpWs6QfjwPLFqtUq1Wi3uI2dG4slkzN7+Ho1GgyuXL9NdXb2vY9ZsNultbTGbzQryc5RtDoGYiyuyOPDnZ7m8W7bd66Eoxwp6taodsLa0qlZkKi70ZMjQDYzMuCpV64eyEXOtrq7y4YcfsLu7g+u6QMp0OmU8HnPjxlVqtQbVaoXpdJphBPJA5AOOk9g2DJhMhKE1jiNkKSfHh1mHRcruMw8pvddfJCTM7lI2NkwzzpZErVojSRM0VSNNEozsPS3LMrph4Ps+M2fGysqq2FwKQiRDYm1tjclEQE1VVWU6tfF9D8eZFZ2a7e1tut1VDKPE9nYP0zx1qFCK4/wqXmAc0kQY3w1dQ1EckklCtVYtyPxxFNHKbptztmRZ5tRcTtvxEyeFB8wwiozB8XhMuVzm5z97/76uFmT07VOnGY9HWXF1wDLLC1RVPchEzUeK8+HcD9tGnA/TPvx6yEVnK0kSPN8jnsUZuDbvQkRoaFiW2Nzc39+j3miKzLusiFUU5VCANRw2zs936a1yhSRN5rbdFgXXV0Gi4Ppk1MP87Q2jxFZviyROiLMIuTAMefHFF5FlmVu3bwrEiqYSR0mRn5qkibAnSKJ4D6PoUNKDZZVpNBpMp1OWl1cEizKK8DyX3d1dut21L+6J+CVrUWw9QvMdq5kzxTLLHDly9JHt8/n79Af7jEYjOksdNE3jzuZtPv74IkapRLsVU683ALBMi6WlJezptPg+neUOlmkxHI2yR05pt5cOeEVZt8xxZ3NRKUphUs5POovcw6dP1Wp1jjkV43keIiJGw3FmWc6miJgRY7U0Y1+Jgsh1naIDFgQ+tj0RHR5FLkjmJaOEm5ldxfvq4aMtSZIL9paAlEpFF820TDY2jjAej5nYE+IoLvALIC4klpeXOX/+Oe7evSsuKpKEIBAeozAImEzGyJKCaYrfuZRF+QDs7Oyg6zq2PcF1XxUEeN8vgKT1VhvdEO//HFaad6ur67WH33aOs6WWDpYWqtUap06fYXu7x6DfZzyZMJva1OsNljodojDk2tUrhwo0EEXardu3ssw3ac6rJaEoWtFV1LOuX/4fHGx33vuczxdZBdRVyplcAoiaoz9c10WWZCRZIgqEOV+WZFRFbD5LksTEnuA4LnEsOhrNVgsZDthtDwiw7m33Do0ZxdhSxZ7atLPCdaEnS0GGoDFLJqqqoms60+mUUqmEbdv8+q//BpqmcePGdVJSSoaWAbsVPN8jSWI0VUOWJRzXQZYVLMuk3V7CyzIVlSxKC8g+pty5cxvTNHEc54G0+iddi2LrE5R3rH6R+1y5fJlqtUYcx2z3eqiaJuI7Ap/Nu5sAdIw2fuAjyRKvvPJq8b2uXL5MGIWsr61jmSY3b95gb2+XkmkyHo+QZIkjR46y3esVB+WclyRm5WqRe9iqP3w+v9BXTznYVI40Lly6zmQiYi6q1Spnzz6b5Rym1Go1HCenr+dXlwppmggujudmIcia8IDNjY+AbNRHcT8BC1UxdLG5Nr/RNm+4vleSRBZjIz43SxaKKrb4VlfXOXfuOW7cuIY9mTAcDkhJkbOwaQnY2Dha/By1ep3hYIDvebTabfZdh8iPMhyBKC6MkogqSpKY/b0d2ksdqtUqSZowtW3RVTHuv8DIYaW6phJkDDEqnz0TND8BzKZTVEWh3mggIbHd67G6tlYE6d7b3Xrttdf58z//M8bjMYqiYlllVFUlDAWdX2RBHox48+c7J+wfwErlgoZ/wNZKi9HhwaKD6CaInDkJWZXnCjdJFF4ZuX86tSGVUC2RUdfv7+N5Lp3OMufPf43edg9nNsW0Dl9wPmjMmHfDFnoyNZ1OSUmFDSXrjmqaVtgbAEyzxPLyCoNBH8MQ2Z/NZlPkH0oSrutmf98Seva+JstJHI9H1O85JwVBwHgyEZu85XKGqbnC6XsuWp5kLYqtL1D5uHBrfwtV09BUlRRx8lpeX8aeTrGsEpoqAmnfe+/dIp9tY2MDf+bhua64yrAsXEd0sfb293jxhZeKA5442QrmkGVZzLJRiywri9zDJ0zzYFPihCtXPkaWFZaXl/H9gHfeeYvXX/81TLOMoij4vp/5mUR4saqqlEolPE/k8SlKQq1WZzqdEgQHpm4RkCwOgpPJJDOsp2iaQCN4nockgaYJ39fDuit5hyYf90EqYn9SweQql0U01YkTp5jNHHRdZzDo43oOiqKytNRhOrUFU0s3irgqz/NI05RGo3GIiXX8xAkGA4FOmIzHxfit2WwVXZXp1C46U1+Utrd7YgklSSgZRpGVI6KTVnEesMLe7a7xO7/ze/zkJ+8wHo+LK/skERdHmqZRKVeIY7EYIXAbStYlJBvNpsVo98BbB2kqFeOaw5uJKWn22sVxgqIIH1cURZglE90wCMOAMIwEowywymUkScZ1xfvgURecplW+b8yY2xkWejIlvF3CjiJnF2SqqjIaDbNg9irt9hLVao1Wq4WiyNy6dZvReETJtAoA8c52DyVb1BJdU4d6vY6EsBuEYVgQ5oejIe1Wq9hOzD8+TdytRbH1BSo32Ae+X1yNR1GEYRhZLqLCq6++yrVrN3n7nbcwSya17ERz4cKHPPfc19jc3CxW5I8ePVYwtuZREpIkMRwOiSJhpK/X6jSazUWR9QRqHmw6cxxKJRNFUZjNZoWf6PLlS7zyymv0+/vFydX3fZJEmKrzSJvcl6UoKhsbR7hz5/YhIntuSAcolcT2n0ROfZez6B6fB3mFDvIFD0aG+chSlkWYtOD0HDDCvva158X4bdAX4/WOGK9v3rnD5uZt2u0O/f4epHDy5EkURT1Exs+9QYZhsLe3x3Q2Y3V1lZWVbrEy/mV1VVzHwSqXMbLxqZoF6Xq+V2wvPkjd7hrf/vbvcOniBa5eu4qiKKyubqAqAhQ5nowPebUgyTIgdVQ1LbZK5wn9cGCQf9BrFccxsiJnUGQKtEhKSrVSwc46dFqGwSCF6UzEDEVRyFtvvVkY5u8tula7B77WHAI775Nb6MmTpukkaVpAeVNSPM/D9VzW19cPFUT53+KpUyfZ3++L9/B4RL3eoFYXF3k5DDlJEkbjEY1Gi3qtXlggFEXG0I1iOSzX08bdWhRbj1H30uar1Sq97S1kRSYKQ8gAj52ltUMbih98+PPCO+K6LpVKBbNkcv3aNQAU9bBJOjfH5+bU3/zOxtzJTkAdF8iHJ1PzYNM4jtA0DUkSnCYQRdFkMgbAssRV5HA4FDErsvBlhWGUgUKtAt4psA0ypZIwqItYnAM4qe97RHHIzJmK4kEV4yRRjD3Kr3WwhRiGwlAuOmoqs9mMGzdusLm5ia7r1Ot1DMPA83w6nU7hWTxy9Ci7u7uMxyPW1zcA8R4uZayn/AR/+vRZtrd7hGHAkSNHWVpaQlW1Q6yeOI7vA8N+ETItizAIMkyLyD9NEev1+fbig2TbE7a3e4xGE7orAsRqWiau66JnBZumadh2UBjlxcJBkJn+o2z8K5EHgeevQV6k3auUNOOsZaNHUkqG2Hw2dEPEGTkzKuUK9tRmPBlBKo47qqYxGo9RNY3+/j5W2YI0PQQ3PX36bDFmlCV5YY5/wlWpVAgGPqZlEQQBUSgu3rorXWq1Oq4rEhR832c6m5EkMebUxPUcbFtsPQ6HA0qlEr7nZRMXkyQWy19JHBdJErk/a2nJvQ/b8rRxtxbF1mPSg2jzve0tVrtrKLLC7du3scoWq91VZEURG0yWxQ9/9ENu3bwh4KVzbCyrXGHQ32NtfQMJqfB9dVdXURQFyywXCIkwjJCz9e04SYo36QL58ORpHmyat9rzkR9QRMPk77WTJ08znU6LgiyPoimVSsiygmHo2b/5KIrMdCquVn3fLzYO8wIpTVJc18s8QlEWnZMXWgd+oHnvUA5AhdykLcz4cRwzHo+ZTe2Cc9XbUjl3/jyu6+D7XhavY2GaFkePHmM2m/LCCy899Lm5d5yV/82BuAr+Mrsq3e4q165ewTAMut1V9vf2mDkzjh09xvGH5LvZ9qS4TxgFTKceO7s7LC11kIBT2rPZUoMqshNtmzAMChN8zkLLx7d56LcY5T4aDQGigM13FkumiWVaxElCFIW0W22BjJEkkV05tTF1wT+aTacMM1ZTo9Hg1Omz98FN89elVqvhLgqtJ1rzuAhZkqjWqnzjG99ke7vHZDJhf3+/AATf3RIoiNlsRhInGCUDw6hiGAayJOH5Ins0zcC9jXqDKIoYjcZ8/eu/XnxP255w9eqV7PvrBEGA7/tPFXfrqSu2DEvnD7739S/9+27eucOvx6cOXVWHYYiqKGwcOYLjOAz6fTzfQ5IkAR8tV5jNJrz2nRMkSUKlUi3arc5sim4Y1Go1+v0BYjyjoOsa7fYSJ06cZGvrLqWSycaaSbd2uvi+cRxTqVSIoohW8xcrtlTtfuTAF6k0TZHWX3+sjymV6ijxF/h7lFQUTxitpd0+UrX7mR8iDEU3M4ojVEWlvHwC1xWcNHnm4Xlu4dlyXRfPc1lZ6YoNMN3IDnw6y8srjMcjwjAsiiFxxdjh7t07uG6C5/kYhjEHMBUm+bzNvz/a43v/3X+GLOfgUnGjotySpMIiLyHGUWmaiODiFJL04ISfJgkvvvQi569voKoqSWbEtqwKjWZT+Hx0nfbSUvY8hKiKysbGxmd6/hz3dQb9gdiQ63awfuf5T+xsqaqSsa4+WcpD/g7mtxLDMGTjyJFP3J6a93kJiLFgXPV6W/i+x9roJf7Jf/uPxfdVFBxnhu/7yLLAdcwzuYDi84eNDwGWnjnGy994sfj/YkvUNIVtoV4nDEPq9bo4Rg0GonCNY6xyBd9zkWQZx3GK0fOJEydFwZhdCBzZOFI8/rIqsfrS1z7Vc/tppelfnv/LkuHv/tf/+WN9TKW7QqR8eb/DkpzQfvH0J9/wU0rT1GL0fP36daIowvVcnNmUyWQssEh+gKZrBEFAmvqMR2KJy3Uc2u0lEXYeJ5mfT81wMgeqVmuczv6eZjORoXokY9s9LXrqii3VUFGNL//Xeuvf/YhOZ+VQNlySCIPzqVNn6Pf3aLc7vPzyK7z//nu4rkO1WuPNN/+Cfn/EO++8jWWJ1PPpdMrFixd49tlzJEnC5uZtokiMAZaXl/nd3/0OGyfX2dy9nW0xnWTv+mVUTcvghQpL7SVUTaO7tvKlPxe/iMLp7mN/TMVoY4df3FV2qSGicQDCRH4gE+tRmu+GappOmHHcut01bHuM6844c+aZggJfrVZ5/vlbEVqjAAAgAElEQVQX2N3dLuI2fN8vToKyrGCaKiAVCxNikzEgisSJUYwYNRQlyCJqxEEvjmP+13/5vwgExFwHax5gmo+rBKJAp9FokiQJYRhmhm5RBLTbS2xv9/gX/+J/4l/9q/+NctkkTclI9gn/6B/9E65du0oUhXz3u3/ALDtof/e7f0CpaX6216Bp0loTnSx96uBUP3nsUC7rzGaf39dVrdY+08kg93nt93rUanUGwwGe5xbP55t/9G/prqwWyI5bt2+iKAr1WoM4jtnb32U2mxW+u3wLcT6T8t4O12v/+A/55//8nwEilUCkASisrx8RXapTp2k0Gpw79xw/+clbvPXWWzSbTapVkfNoWWIUvbW1ydraOmma8uyz53n99a+TJAl7ezu8+OJBxp3h2SRP8OjHuHOLT0+k+nQyTx9jVvryaPu6KzANj1vVag3TLLGzu0OaiBG2oZcyb6eHpmvMplM8z6NUKtFqtXEdh36/j6xI6JpBEASYpsnKSrcYqc+jHh4GBn4a9NQVW78stdsdZrNpcfAdDPq8/fabXL16hd3dHc6dew7XdXjjje8zndqcOfMsAPV6nSSRef31X+PChQ/Y39+nUimzurqG67oEgU+93kSSJGzbplKpcvToUd5//z1efvkV3njj+5hmiSAMCCPR1Viqd566FuzTqF42Bs5pzvlH27Y5e/bsQ++Xj5fy2/u+x2QyyRhZasbdEl8X3ZBYRGxknp+8s5V3S/LuSD4OPIiOyTP64kP/pus6um5QKgneVRiGOI6K5/kZrf6g8FIUheFwSLlczbYKU65fvyo29hyHvb0d2u0O3/jGt+4zyD5tyn1evu+JMf/MLkLBK+Uyjuui6TopKa7nZsVOudg2juMDHEfO6kqzbmIONX6U0jQhDEWB3e/vMZ3anD59mrW1DX74w7/i9u0byLLM7du3ME2RcXfypMjgbDabzGZTnnnmHLY9AWA2m9Jud77YJ22hr5TSFBr1JqZpsrOzjSSB63l4rsfUtkVnC9H9ns6mNFstHMdhPBrTarep1xvU63WWl5e5mo3U51EPq6ur2Lb9VLK2FsXWY1Je+IDoNrz55o+4e3eT06fPIssKP/3pe7z88mvUanU2NzeZzaYEQchkMuGnP32PUsni9de/zuuv/xqTyZi//Mv/yHg8xrbt4oCrqgqe51IuV9jb22FtbZ3vfvcPMDWPRr2O54kuR7VafeDm0EJfLT0q4/BBsm1b5AsO++zu7pGmCePxiCAQMRymWRJGa91AlgWKIU1TrNzoGkVZHuK8sR0Eo4kCfDq/DXdvBAyQIR4SRqNRRqqfZWHRMYqiZTEdogiLohBV1Qq8wNmzZ5Ekma2tu/zTf/rfP/UF1rxyn5cii/iiKIqxzDKtlsBW1ONYoDjsCUeOHCVNUoajIaqi0mi22N7ZLjIlRZEMIDxbgvovjPMPW2jIX8vcM1OrpXS767zzzltcvnwRx/Go1+s0Gq2Mq2QzGAx4/vkXBDX81k0++ugDms02t7Ou2ze+8a0v6+lb6CugUqkkkh6yCLkwCpEQJPkkjkkBNfMPB75PtVLhxPGTDAb7nDl9tiig8pH6/Gaj53n87Gc/48iRI08la2tRbD0m5YXP+++/x49//GMajQZpmlIqmWxubjIej9jb2+dv/s3vIMsy/+E//Am3b99idXWF1dV1dna26fXu0utt0Ww2GQwGaJqGqgrvRrlcptNZyba8Dq4o19bWqRoBa6Xf+CU/Awt9VuUZh/M5ZWEYYN6TvQmHR46maZEkMf1+H8MQ3Bvh06uytNRhaWkpK7Iq/PSn71MqKWiaQxBMswJKPKYsy5kZNYvaSJKi0DowvedoAbkIdZZlGc/z0HUDTdORpBlpmqAoKoahYZoW5XIFyypnTCiZer2OaZqsr29Qr9eo1Wq/UoUWHPi8bt64zq3bt7KN0TKyLBNGoVimUWS6q2KccuLESS58+AGu6xadLkHpP9g6TtPDwfQPi/WZV77lGIYh/+bf/D/Issz+/j6yLOO6DsvLK5w8eRLTLCHLEi+99AqXLn3ExsZR9vd3UVWVixc/4nvf+wePfA3v3c7uri4uAJ90tVqiEJ/NpkCK73koqorr5tuEaXGRZpRKeJ5Ax2xsbPDiiy8Xj3P9+jXK5cPHuTxe7GllbS2KrceotbV11tbW6ff36HRW+Iu/+AEff3yRSqVKo9FgNBrxgx/8KWrGs2m3W3iex3Tq8Pu//7dQVY2LFy+wuvotzp8/z4ULF9B1g3JZnMBETMYGk8l4cUX5FGh1Lntz3rP1oPFvPnKM45jr169l24SCyLyy0s08WSqrq2s4zrQo5CQpZTqdkWfu3TtqEiPD+7EBOaF8/nZ5Zys34VcqB1DddnsJwyhlJPkUXdexLIuzZ8/SaDQ5fvwkJ0+eot1ui4B188n19XweVas1nn/hJY6fOFkUXbqm0+2uoijyIWxEtVrjua89z40b17l9+1aBU0iSuAiqzs3zpZJZjHs9z+dh3S1N00mSGF0voSgy/X6fRqNRFG5pCpPJhPF4nHm36vR6W0RRxNraOt/61m8Vr+HW1hYvv/zqA7/Pg7az57cXF3oy1e2uMp1OKZcruK6LuqQxscckaUIcxJSzKYwsy4RBQKzEuJ7L668ffp/k3fa8oHIcl972FoqicPfuXZrNFpZlPlWsrUWx9QUo92/NZ8MKHINJv7/P8eMnGI8n7O8P8H0HTdP56KMLrKx0BUG7WuPFF19hPLYZDPYL8FulUuXVV1/nd3/3bwLw/e//O/r9Pf7Tv/VtqqG9OIg9YSoYRb1eUSA9LHvTdWdZ+HKvMMX7vs9oNKTZbKLrOp7nFagA13W4ffsWcZwwndpFmPH8AofYOkyKfzvI2UuL4urAz5VH+wSFodswDJaWOtRqwkw9HA5otdp4novjOMRxzD/8h/8Nm5t3qNXqlMsVbHuyuFjgcNG1vd3DdRzUUomNezaw8s81VSteD1nOsyrTYpkhygJ/QULTBJUbKOj7uZIkQdM0SiURCyRJMuVymdlsiuf5SFLMbDblypWPOXfuPN/85jdJkoTXX/+1Q++d3MrwMOVYGiPr2uYft3u9xXHqCVa+Nfjee++SJKILVaOG73m4rvBqappOnAj4brlU4uuvf5219TWcuaWUbne1QD3Ecczm5h0xCTJK7Pf3ubu1SWepQ6vV/kzvlweZ7r8qXbFFsfUFaG1tjT/6o3/NpUuXqNerOM6MIAg4f/45bHvCeDzi8uWP0TSdRqOObc946603OXv2LM8+ex4Qobm/9Vvf5tq1q1y5crnYGmo22+zsbPP+++9Sq9XpdFaIo3hutr04kD1J+rTZm6ZZZnPzdnaiLJEkCaZZIo4j+v19VFUlCKJia3F5eYVjx46ztXWXra27xYkyL6zE5/lIKTn074Ien2T/f7Ddlo+fcgzJsWMnaLVauK7DhQsfoqoallUu+Fnr6+sMBpNivP6rZIb/tPqkjUbbnnD79i3CIKBSqeD7Pq7rFhl19xZTcRxnnC6l4GrlLK48UklVtcy7JxfLDsePn+TGjWtFqHkQ+Ozv77O8vEIYRoeWf+CTzfF5VNm8chjzQk++fD8gjhP2+9ui4EcgIsIoQpZFt7zVarO+vkG3u/bAxxBdrM3MP1hlY/0It+/cQtcNDKPEcDTCcV2+/vqnQznlrK57TfdfFc/Xoth6zNrausv777/LuXPnGQwGWVCnwXe/+wecOnWav/qr/8jly5fodJaZTOzM+C7Gitev32RpqcMPfvCnVKs1Tp48xcqKCPs8f/65jMs15Y/+6F9z7tz5g6teTVC0e9uLq8anVaurq3z88UXK5QrlcoWdnW2CwC/8NuVymbW1DeI4LLpKllUuOme2PcmM7RS8pryoUhQRGp3H/hz2/EhZhzYtblsuVwjDkDt3blEqGaiqiq7rVKu1Arq6tNTBsspcuXKtGK8v9Nm1vd2jbJXZd53MAydGtHkeZhRFGVcszXxzStHtKpcr2WurZ/yjlCSJiSLR0VRVUbhPp9PCc6MoCq1Wi05nmRMnTvHGG/+e733vH/D+++8CFMege7uT4rj3Hq8c38C5fBkJiSAMio4WcCg1Y6Ffvn6RLlBe0CRJxHRqEwY+sqwIgGmWuypYyRJxkjCZjLHtCVZ5qbh/PhbPv2c+Evd9l3ZrSURehSGSBBvr6yKa7lMgDB9kus+/vii2nkK9//571Gp1qtUa5XKV99//CbPZjLff/jEff3wRz/NxHIeVlTUsq8x4PGA0GqFpOqPRgJs3b7Ky0uXu3Tv86Ed/iaIo/PZv/y7Vao3BoM/169e4dOkSg8GASqVa5OVpuv7A8NuFng5Vq1VWVla4c+dOgQTJR4nlcpmlpQ7dbpft7W0g5tq1q5TLZQyjRKlUwnVnWexLboA/8PtIEsUYStzWLW6Ts5x0XUfTNCxLmN9BEM1v3brJ0aPHOHXqdBZsfXByjaJogQb4nHIdh6VOh35/nzRJs2In9+ApQJLlJR5EL4niS0SD5d3LWq1GqWQyGg0JAh9d17P3T8BwOESWpWwJZxldN3jmmWdYXu6ys7PN1tbWQ7uTW1t3+bM/+w/88Id/SafT4bUTf48wCpllMU/1ekNALx/hR1zoy9cv2gXKCxpV1UACVdNIk5QwivA8cdzIR97ObIZplrh48QLD4Qq93g6j0Yg0FaPs0XjMzu5ulslpMZm4rKysUC6XC2BurVb/1J4tx3HuM91/lTxfi2LrMSs3xwO0222OHz/FX/zFnzKdOpw+fYaVlS5bW3ew7TGWVc7CeA0GgwHr6+t0u6t88MHPaDZbtNsthsMRvd4W5XKZa9euYlllVlaW6ff7vPvuO7z6qqCuPyr8dqEnX7YtuqCmaSJJ4qotSURXdHV1reBZhWHA5uYdARnMIjUcxykM9QfbageJBL4fAClRFBfjqVLJKEzyYRgSxzFpmtBstkjTlFqthmlaRT7hg8z+YRjw8suvPPyXWugTZVoWURhy/MQJrl69guM42YKC+Hcpy1vNP8+jkvJlCEVVqNfrKIpGtVrNXssxiqLRarUZjYYZnw0Mo0Sns0ylUsG2p9RqHp3OMv3+3gO7k1tbd3njje9z/fo1lpeXkSSZ/qAPcUy9XieKQjRVY+ZMsR7hR1zoy9cv2gU6KGhSltpLjMZjgZ/xA2RJLtYyNF1HVRR8P+Datau0260sDUFmZ3cHRRFd1ZJhEEYivBrySCqJKApZWup8pnzEe0338NXKV1wUW49Z98JNh8MBx46dpNFo8NprYvb87W//Ln/+53/GxsZRbHuILM/wPJeXXnqZfn+v6C4sL6+gaTqyrPD2229x5MhRoijCtqcMBvvcvm2iKCrf+e2vLyCmT7l6vR71eoNKpcqlSxcLI2o++lFVLcst22E2m2Un3hjfnxAEItRYVdW5zpacbaWJLlUYRui6XowRZVlF09QiU1HE20ioqkK1WkOSJJrN5iEumKIobG5uAikrK13W1zcW48PPqZzNJcviNQ4CnzgW48AkSQ8BaAVmg4K3JcbFKbYtwsV3dnrF4oOiCF9W3s3Mx5C2PSEIfHZ2dtB1nVdeee2h3cm8ix+GEfV6g9nMxnNdbn58ieXlZQzDeGTW5UK/PD2sC9Tv97ly5eOHjhbzgkbXRY7vyvIKlXKFW7duIskymqJQrdUESiaOmUzGtJpNDMMouvFpAkEciO+fMePK9QqO6xRRPfPbuZ/2vDZvuv8q5isuiq3HpNyzcO3aFW7evMG5c+fZ2DjKzZvXGY1GdLtd3nnnbU6ePMVzzz2P67qkacrFix9QqdRYW1vj0qWL3Lp1IyNzi25XPhvf2dlhZaXL5cuXAHj55dcZDvd57713ieNoYY5/ypUDUHVdyrZWReyObU8Iw5AwjAjDgOl0VhjZRTC1OBnnHxVFmYviEYZpIwtAr1brTKcT+v19PM8litSiGyaKOpnBYEAYRnQ64gQsuipSsebf7XbZ39/j9u1b9HpbKIqxKLg+h3I211s/fpPxeIRlVSiVDHq9HrKcZFuJB2vPYqFBznhFogPh+142TpSKTdM4ThgOB0XweBRFzGYzxuMJlUqFVquN7wfYtn2oO5kf5/r9PT744Oe89NIrVKs1+v1dUWj/9reRJPA9YeS37cWW9FdRD+oCTSaTDFRcfehosdtd5cMPP8BxHIbDgajus+ULTVWzLqlYosm5fbnVReSyRsVoL45jyBZyNE3l6NJRzp9/rvCRlUqlz5SP+FXPV1wUW49BeTu9Vqtz5swzmKbFxYsX2N7uMRoNWV7usra2gee5vP/+Tzh79hlOnDhBs9lmNNrn+vWb1GoNbty4ThQljEYTDEPj+vWAs2efYXd3G9ed8eabf0Wns8LZs89SrdZoNgW/SDcMqln2lm3b9LJVctOyFiT5p0TzANRms0mvt0UYRlQqwjC/v78HpMSxML4HQZideA/M7mKUCPnJOU0pOlliPJgUY8Q0JftcYB+q1SqKIhePL8syd+7cptlsFt6wOI7Z3u6haRrlcoXxeMyHH36f7373DxYF1+dQtVojTbNsupKJPbWz6KW8i5VLFF754kMURciShKpqRFFIvd7Add0iXzEM02zcK4rwA45Xgmma1Gq1oqj+/vf/3X0XkoZh8OMf/4hnn/0aP//5T4uNVvEzpVSrVd577yc0Go0F1PQrpgd1gfb29uh0lj7VaFHXNSzLZDAYggSKqhDFIUEYIPtK9v6MqddrtFotAJrNFltbWyK8XpYZDPqEQUilWsE0LUzT/Mx5o/fq897/i5T8yTdZ6JM0b4qXZZmjR4/xjW98izSF3//9/wTLEjljpVKJ2WzGH//xv+VP/uQN3nzzh4BY175580YWFCuRpiJU2LJMLl26yHA44g//8L8oYnvSNMF1HRxnxrlzz+H7PpCDBK8QhSFWuUwUhly9eqUIS17oydXq6iq+7zEejxgOB3iex2g0KE7CL7zwEs1miySJ8TyvCJl+FExcUURHQ2wZyoxGQxxnNpfBd3Dy9jwPyyrTaDTxPBfPc3Fdl8Ggz/b2dsbZGmapBxqaJoj0tVqd999/70t7np5aSSlaNgaO44hSqVQUvUIHL3SaptTrdZFbGUWUSga6rqOqatY1VwmCoGCyzfu8dF3PupxVRqMhN2/e4I03vo/rOkwmExRF5fLljxkOh6ytbXDnzh1+8IM/YTIZ0ettMp6MSZKEkmkVW45lq0IYhVy9enlxLPqKKO8CCRr8DE3TaDTq1Gr1Q7fTdR3HcYr/397uUa/XOXbsOM1mm/X1dSzLolKp0Gy0KBlmNmbUWVnu8hu//k0kSS7YgJVKhTCMSNIU0hTd0PE9j35/n8GgX+RuPo36le5szbfE2+0OL7/8ygNNoI+6zdbWXf78z3+ALEO93uDkyVO0Wm3K5Qq93havv/5rVCoVrl+/xt27m+zv75EkCcePn2A2m/Luu+9imhVs22Y2m1Gr1VldXcdxZkSRIEIvLy9z+vRZXnrpZa5fv87169d54YUXOXfufIF9gIBeZnrUsyuS/OMCCfHkKM8/dN0ZpllmNesGVKtVut01fv7zn5IkCY1Gg3J5A1mWqFar3Lx5oyh6HqXc1yPLMoZhIMtKxnK6jSRBkuQjRnFbgRgQPi8BMVSLbaRm0yKOo8yrdQc4gHDm44JyWX4k/HKhT5Y4AUnY0ylJIrxzgqUlUyqVME2xZZimaXbSbNJZ6rDV2wJE91J4traz1/SAnabrBpIkZY8LkqSQJMKDtb+/y89+Zhe+Hdue0Gw28TyPn//8p8RxxMrKChcufJjFi6k0Gk3kdpvt7R6WZVHL/H0LqOlXT/d2ga5c+fgTDebzXq8g8HE9D13TSZKEdmsJ05wym9msr23wyiuvFu+b4XCf4XBMGIY899xz7OzssLOzDZKEomlouobruty4cf2p9fn9yhZb86O/TmeF2WzKG28cHnnM30ZRVN5884f88R//G771rd/i935PUNzfeOP7lEp6xgnxiw1BTdNYXV1jNptmBzjo9/fJCc+j0YgLFz7IEs69An5qmiaaprG8vMJkMqZSqbC0JFr5L7zwMkEQEkURr7zyWsG7abfa4Pz/7L1pjCRnet/5izsi76Oy7j6qD7J5DK+RqZmRLEEezw7Xs2NjJcMwDO3AWMjwYgEb8Ad/sgzsYj8tVlh9WCzgXRuLBQQJstcCJI8H4kiekWhLIjUi2dPkkM0m++66s7LyiMy4j/3wRkQdXc1mk82e7mb+AbK7K6OiMisj3/eJ5/kfNq7jUDpEepxaQjw62B9xUipVCA9FnNi2zbFjxwt7Bdd16Ha3C8L87u7ukZE8+yFJIkg6SRIcZ1KQ7HPrh6O/VziUD4dDQCo8uQaDPnEc02w2s9DpCFmWM/Wj8MpZXV2djhA/AzY313nnwgX8wEfTNJJExnU9kiShUqky25lFksV7UqlUSZKEwaDPrdVbGS80yTqdyYHz5l0xwzCyIlscJ0kyjUaDyWSCYVjU63UuX/6Q7e0tbty4jqZpHDsmuKhLS0t0u11KpRILC4usr69j20M8z8O2R9j2CMMwcFyHklWampo+5Djs6t7tbuM4DsePn8C2R1SrtQNcL1039jJ8s5t+WZZpNhvU642i0Lp27Sq9XhfH8RjZI2rjGju9LuVyBcM0IRXcT9M0uXXrJpZlPZQO8J8VX9gx4uHRX7Vau23ksae2CTl//i1kWWF2dpZLly7y6qvf44c//GNqtTpPP/2lzHkZLKvEe++9y2g05Nvf/jvcvHmD11//L/i+cH0OgoDhcMRrr/2A3d0emqZh20N2dnqEYcBgMMD33YK8vLJyqnDgbbXanDv3NO32DN3uFpZV4pVXvlXceVilEmEQHHidU0uIRwd5/mHebcidlDc2NgBBktc0Pfu7w8bGOkEQ0O/vsrOzs0c6PQJ7cTyioMqVarkp5v7uRvYdB+JZgIznIzhd3W6X4XBAHMeMRiN832c8trlx4xq2PaJeF0Hsf/mXr7O4eLSD9BQfD9se8c6FC0iyTLPRpN1qoyiK6BjVqiwtLtFut1haXGJxYYk0K5gMQxiVBtlacLjQkiS5ED2IYwSHTxCVddptMY7+xV/8GxiGwX/+z3/C+fNvIUlCIPHuu+/gui43blyn19thNBrhOA7z8/OkacrGxnqWdGCRJDEffHCRSx9+wM1bN4r0gikePuSjxSiKuHHjOgAnTpxEVdWMjjJifn4B3/fxfZ9ms0mapnieRyXzxoqikEqlQqlUwrZH/OQn77K2tkqSiNgw15kwHPYzQcaYKLOV0TRN7I0j0f3Kvbbyn/s44Avb2drvh5XjcN5Xfszbb79JqVTGskqkacpwOKBWq/PGG2/w9a//TapVmRdf/BmuXr3CaDQgTdOiQ/bee++yu9sjCAJqtTqGYbC1tYnjOLTbM8UGpigqzWYb3/cxDINnnnmWTmeWDz64yNzcLEmSMJmMURSZX/u1f3yoWyAW1YV9dyaarhM+ZNLXKT4eueJwP/ZbK1hWmdFoyGQyYX19Fc/z8DwP3w8Oub4fDWEPkCvY9jIQhVuzKMRy7s+eYhFE4SVRrdaZn59nbW0VEONLwzDxfS8z5lU5cWIFx3GKLtjP/uxXPjaweIo7Y3NzgyRNqJglyG6+hDFthCyLjmSSpAyGA3q7PXZ3d0W+nCk6n6J7pdx2Xk0ThPkgCKnXa8zOzjIajajV6pw8eYrl5WNAyvvvv8ubb/4VkBTB4flYOQgCtrcHLC8fx3EmRbGtKAqVSoV6vcHu7i79/gBFUfA8F0mCyWQyVSg+xKhWa1iWxalTpw+ME0Fcj2fPPlko/sIwZGVlhe3tbcIwpFTSqNfbSJLM/PyCyPx0HUzTwnHG6IaBrMiMx2MUWSFJYsZjG6tUplSq0R/s0mq2H1oH+M+KL2yxddgPC27P+8qPGY2G1OsNADzPzdzhK0hSWpyj3W7Tbrex7RGWVSqKod3dXUzTIgxD5ubmuHjxvWJBEgXUhFqtRrvdoV5vZKRFFc8LeOqpZ/j617/B+vr6kc7NOZdsfxD1mTNn2djcEO69hfR1urA9CtivOMwRhgGWVca2bfr9Xd5//yekaYrjOAcCo+/c0crtHkSH46ia7HCzIedr7QUfS1lMUJnFRTE60jQt64iB73uZUjGmXC5TLleEoaWmsbx8fMrZ+pRwHYdyqUwURaiaxmAwIAiEerReqyNJEjdu3mB7ewtN04miEFVVGY38TJEaHHld5ATmKApJU4mvfvWv841v/FdsbW3xx3/8h1y4cJ5Sqcz6+hq9Xpdyuczm5lqxzi0uLjMajbhx4yqbmxsF3zSPBcrVj7IsAtElScYwdM6efRJFUaa8rYccd3NiP8z1ulPsz9WrV4jjBNPUCSPRUBAqRdFpjcJQFGlWCU0TXNClpaU7/txHHV/YYuvFF1/i1Ve/B9w57ys/RtMEeU+SxOJx7tzTTCZjnnvuBUajYXGO1dWbXLz4PidPrvC9732XxcVFrl+/lnWtmkUnQowCyhk3x6JSqTEcDmm1ZJ5//kWazSbd7hbf+ta3s+dxsCtwmG92OIh6upA9mjjKhd33PZrNFpcvf0i/v4uuG0wm4wNmlnnBdVR3S1EUhMFl/DF8Lqk4V87liaKwGGWbppmN2Wvs7HQxTYNqtYbv+5mXl5D5u64rCgNVKBLDMGQymUwjez4lrFKJKI7o9XoAjCd75rGVShXP89je3iIMAxRFQZLkYpSTjwqP7nimRFFIuVzl5ZeFgOf3fu//wzRNhkOxcfq+h+eJom0ymbC93SWOU5aXj2ddqpRKpcatWzcLd3rP84oxs4iBEmHEeS4jTMOoHwXcqxP7newWSqVSZogcoakaQSjEO7quM9OeoVIpY9tjYQ1SKjGT5XPux8PkAP9Z8YUtthYXl+6Y93X4mB/+8I/5L//lNTqdWV544SV0XWM0GvLKK98CBLfrzTf/kgsXfjpriM0AACAASURBVJx5iaxy9eoV3n//J9kdZ8Ts7CzLy8cxTZPBYEijUc8IhMMsrNrkF3/x60V37PAGtb+Tdf369UylNg2ifpwgOpMiONpxxlhZxMnGxgZJkmZqMrFplctlXNcDUsIwKjgPuVmpMDYV/Jwoig6oCvdjf1dLONGrqKqG51F45eQdK03TmUzGnDhxkp2dHWq1Gqqq0u128TwR7bLn05Uiy9JtNzBTfHLMzy8wGY9pt9tMxhPCMECWFZqNFv1Bn52dbjYClgsLD2HZASDy5+Q7cKQkSWJ5+RjHjh3jtdf+JDNMLbG5uYEkSVhWqeD0hWGUdagkXn/9z5mfn0eSZGzbZmXlNHEcZ35tCbVaDTuKqFaqRIZZ8MZqtRr9fh9lRpmGUT/kuF9O7PPzC+zs7DAY9LN9bwvf99B1A8cqoWkaL70kGgnXrl3l1q2bDEdDWpmlhKIojxUN5gtbbAFH5n0ddcyv/uo/5G/8jW8UxY5lNW8rzH7wgz9iZeU0qqpmgdMeu7u71Gp1KpUKrutx/vybJElKuVzm6aefodvtYttDKpUq3/zmK5w6dQrbHh3YoNbX1w4Ue0899Qy93g7D4ZAgiOj3dzm5VMPe6d42Y5/i0cNRncn33/8Jg8GQJElRVeEAnycQ7PGqyMY4YVFw5Y7NH8fnykeMuq5l3Aqn8HnLPd2iKGRjY50TJ05y4sQJVlZO85OfvIvrOpn/lgWQOdvH3Lp1k8lkQpIkvPjil6dqxE+J3D1+c3MDVVE5fvwk9miI6zlFESNGyTHCsTvdV2wrYj3IbD7yrwOYpkWjUcd1J9y4cZ21NWHbIfzU/MKrDSh806IowXVdxmObhYWX0DSdt956kziOOXbsGIqiCqJ0pYqu6ximyLwTXNUaJavExJng+5XHZvN8XHG/nNir1RrPPvslzp9/m6tXL2OPbXRNp1avo+saIKg7165dYzDoUyqVUFWN/mAX13M4ferMXYOxHyV8oYute8HHFWbnz79NHMfMzMxy5cpHVCpVxuNx5lmT0Gg0M3WOuNM7deoUlUoNXTd56qknqdVanDp1hm53C0kSxoL/6T99H1mW2d7eZne3x+zsPJIk8eMfv41lWYxGI1577YecO/cUuqbj+dN4jMcRtm2zvr6O57mFuahQEgojUl03M2+tFE3TUVXRWcr9ttL0ziNGIOtimMRxim3byLJMGEaFFYQYPQqbiGvXrrK72+fWrVt0Oh1mZmZI0xTLKlOtVul2t1hfX6PZbHL27BPMzHQ4f/4t5ubmpwXXp8T+EY1tj3jttT8hcdN9ogaBw6PkPIJpv8N8PqKRJLKg+xnef/89wjDKKBJukSIQxzGlUjnrcroFZ29hYYFms4UsS5imQb8/wHEcnnjiCZaXj6HrOs1mk5mZDkuLy7iuQ7/fZ5LZ2uQ2JlM83PgsTuz7OVy+77HT26FULqEoKn7gs9PtImXUhXfffRdFkTFNK+OB6ui6TpomhaP844JpsfUpcNjo9MqVD+l0Oniei+NMKJcF+V3X1eKu0nEmBcl5dnaWarXGCy+8yIkTi1y+fJ1vfevbB7hY5XKFP//z/8xwOCBJUpaWlhmPxxkhdUy/38eydEzTLDKmZjqz01HiY4TcdyvfJOM4xnEmBa9KlhVM06TT6VAqVUjThJs3bxTdrFx9mKZi1HgYuXu4LCu02y1s2xZGha5TZCjCHrE+CAI0TcW27Ww0Psezz36puN5s2+b06TMFwV/TtMJOZVpsfXZUqzVmO7MiMUKC0WiYrS95h0s4/kuSlHFDZTRVRdf1TPGsFDFMW1vbmKZBr7dDkoiRb24HAkIgkfPAarUardYMlmVx/PgJJEliMBhSKpWzMOwY13UZDAYYhsmTT5xjY1MYqpqmRXtGoeJXpoXWY4y8wNrd3WUwGNDpzKBpOpcufYDjuqRJgm4YGddUYqe3Q6VSYbu7TbvVPlBUqaroku53rr/bz30UfLmmxdY94igz1OvXr7O4uMhwOBTVu++TJCmKovLss8/R7/dwHJednS6qqrK6usq7717AdV0WFxc4e/apooDLvb9ALIqNRpPVVeE8v7a2hq7rmWu0ied5rK2tIisKC4uLYgz0mCg3ptjz3VJVlcnEIY4j0hTiOEFVJUqlEufOPU2apnzwwUUAxuMRQSC6HuVyOTs+LfLy9iMfQxqGgaZpVCplRqM423xFMba/cJOkvY5JHMeZ19decX+UdcVhO5Up7h35huI6YmxbqVY512zxo7/6y0zMkBTvkaKoRYGdJAl+4Bd8riAICiW0qipcu3adMIwyfp+M73tFR1SWJdrtNsPhkDgW/l26rvHGG39OmgoO1vHjK/T7u/T7u8XxKysrSN0e5UqFzY0NJs6YUsY9nBZajydse8Rbb73J7m6PwWCAoiqFKj8IQmRJJkpjHMdB13U0XSMMAiaZ2tbzPKyMwwWiK68o8l2J8bY94vLljzAM447B2Q9TMTYttu4R+wuiXq/H1atXsG2bN954na985avIssI77/wYw9CYmZlha2sDx5mQJGlGZDcz/xGXJInZ2dmh1erxu7/7O6iqTLvd4dKlHzEaDdne3s5iWcqZ6ke8XZqmUqvVWFhYxHEcwjDA7vcpl8PpgvYYwXUnSJLMcDhAliU0zczUfwm6bpIkCR988P4B/paIcYmIopjJZJJ1M+7sKB9FIePxOLNxEB0zVVULQn2ejyj+ndDr9dB1rSDP9/s9PvzwQ1x3wmAwIIriwiYFbrdTmeLeYNsjrmQbSqlcJooj1lZXWVpeRlHkfTE7ooMeRWKMrChq8TVRPMvZWFGi1ZohCHxKpRKj0SizgEgPxPiAKMAsy2J2tkOaSnS7XSDBNC2iKOa99y7wxBNP8yu/8vcKBXXJKuFyNPdwikcTdytYLl58j9W1W5imhaqKParb3abRaGKaZhGcHsURcVbMK6poSpw+dZq1tVU8zyX3+HNdj2azyfz8wsc+r80snu5OvlyfpBh7kHjsii01iknc4O4Hfko8vXQC07QI/ICeXuLZ5RVkRWE8trPuQAXjH/xDAj+gu9MVYZu6Tn/QR1VUFFXFcSakSYokC2n93Ow8KSlJnBDFEV86dloYAWZmkY16XdyZhgFhENJoNNB1YY4qSRKnj51kku5kvLEZJP/j8/E+CSRNIZEfnNuzpHRI/Lsbc94L4kGAHn/238Wd4EUhuic2NzmMUYLwLt9xbzixuMzb715AlhVqtQaDQb8Y70VRiK5rWcyKWzjLa5peOMTnxZLgDh5dcInOlzjun/zj/5FGuUkUhfuI9bnRaYokiUIsfw55tmK5XEaWFcIwwHEmlEpCuThXmUU7qbG0tEw09O7r7+YoqElM8gmufTdOSKLkrscByKoMyoMJ2mj/zEm0inbga6XRkM4vnEbZ5+YfhAFhGHHW/rJ4nxJRKO3/9EiZWVr7yZP8P3P/B2ki3kMRdr8nrw/Do9dKSRaFloTooCrZJpqmKc5kgqwoSJKEaZqcPfOEsJ9Qn0FVU3Tt/n6O01TiiCn454Lw2Cm85HYj2M8CZ5wQuXcfid0vaHJE4N2ftSgMQ+yRXbi6H1Ww3LhxE9MwhXLR90nSBEmWi3ix0WgIqiIMkDPOqWlaSMB4bLO0tIRpWpnaWmJ5eZmVlVN3LYju5gd2t2LsQeOxK7YSN+DaH7z1uZ3/ykeXiMKQnZ0ecSzMBvPIAdHSj5mfn2Nza4s4jiiXKjSbTS5dukiKiFkBcecpSK0pJ46v4HkeQRAgyRKWaZEkCcPhEHtsU7JKlEoWllWiMztLYvVEDtloRBiGPLk0z+Sjm2i6RnBrSKvV/syvs/nkIhgP7vJI/JTt7/7ZfT2nVOoQxPd34dyPUknHccRm5Z1uMP5w7b6ev7Yyy2QyQdNUQEJVFTRN8GR838vIz2IDFQWScPYW4784MztNDnUsbocg2ys0yg1+7zd+n1KpJMZHWegxpMiShJRt+LquC86YJNNuz2CaZnGu/Do2TZPez32VcqnKoPpgRttP/cwi6+9t3PU4TVOP5LAdhcVnFpAfULGlVTSC7vsHvjbc3ETTdfbf9qSIGC5v0Mdx3WL9SUmLAlm8ayl6Y8S1i38KpKiqRpomxLEQV+SF9mGIsaIws1VVlVqtjq4bxVjHdV0URXD9dgKfVmmM7/ucOXOWwJXY2byM6zpEUYyqqliWRaVSOWDWey+Q9SbwYG78vEThP/7ff3Jfz6mePEGo6vf1nB+HX/r5Y2xdWL0v5+r1ejz90vGPLVh83yNNExzXQUJQD2RJJo4jTNNkpjPLZGwTBLmxabZuKRL22MaySqysnLrnAOq7+YHdrRh70PhMq8h3v/td/tbf+lt84xvf4Ld/+7dve/zixYv8yq/8Ct/85jf5F//iXxR8gEcZeTbUxBmjqCpRGGaSZkFaDaOA1dVV4eqsasRxxMbmOqVSmTiKM/dciTiORI5UuZLNqBU0XWN5+RhxHLO9vQUSLC0uYZgGSRYT1N0W4aCTyRhV0zh9+gzVSoVqTUSn7JkKTvGoQ9M0Tpw4QalUwnEmRQi54M/oLC8vi+5DVlzlCMOoGCvm/J2PQ77xJqnotnqeR5ImRQ6fpmoHlG+aqlEpV1FVMRbfD8MwMU2T+fl5arXadJT0GaFpGr7vMxgMWFtf4+atm6ytrWZFuI6qiE6VoiioiopU6LwEUvaEEEkSF0V4/u+jIMbUelackeW1+jiOQxzHWJZFq9UmSWIURS3Wr/fff4/t7S2cyQTf84njCN/zCHyf3d1dgsB/IL+zKe4foii4LfJJ1/WCvG7bIxRFpBXIkuCFer4nCjBSfN/n3JPnePbZZ6hWq0iyEHCYloWq6qiKhmHobG7e/SbpMPbnNKZpWvw9Hz/mxdh+/DRNUj91sbW1tcVv/uZv8ju/8zv8wR/8Af/23/5bLl++fOCYf/7P/zn/8l/+S77//e+Tpin/7t/9u8/8hH/ayL1vSlZJZBWqKqZhUiqVkJBwHbe42K5eu8LW9hZjO8u2K1mUrBJJIvg0YRhlQb5DLMtibm4eVVHQDYP5+QU6nVnizPPGMEx0w6Q/6HPhwnnG4zHVSgUr8zgCSLJAzykeD4RhSJqKTgJApVLOCqe02OREiKtejPbECFFsosJYVL4tjucwdN0Q3a8UqpVawdsiFZwuRVXEHams0JnpsLi4RK0mMtQOb9hJMr0G7yd0w2DQ72OP7WK0GwQB47GN40wK24acz6koinjPM8WqgKAy5K7ywpMrPjK6KUcQBARBQBgGhddav7/LeDwWN45xjK4bvPTSl4lj0cHyfR9JkhjZI1JSNFVDVhSCMEBVFMbjqXP8owZV1W/7jO8vWK5du0qlUiOKI8bjMRNnItYdRaHdnmFkD9na2mQ0GtFsijD1TmcWQzdo1OuUSiXG4/EnUh4eRu4HpmladvOhHRhv3q0Ye9D41MXWX/zFX/CVr3ylsNr/5je/yauvvlo8vra2hud5vPCCaA3+8i//8oHHH2VUqzVefOnLzM/NM9Nuiw4CMHEmeL5beBTlzsthFLLb36Veq7OycpJ6rU6r2aZarZKkKYqicHJlhZWVU6JrNtnrmo2GI+q1OrIsMxoOaDVbLC0do1qpsLMjzE2jOGI4GLLb3yUKo+kd5GMAP/AZ2aOMB1jDMEziOKFSEcTjMAwYDEQgumkaqKqSbagHKyvBx7rzz1FVYR8xGo2QMgPMOInRNR05yztMYsH/ipM4ex4xURTRbs8UBV8+koqiiEpl2s26Xwh8H13XIRWDNDnLqwyjiCiOUVWRNReGIVEhaNgXvZT9STZizIUQd8Me3090PR3HIUmEoqzb3Qbg5Zd/liRJCl5MEPiCD5bu+bzJskwcxSiKMu26P4KoViv7EgIOFiy2PeLmzRvoukaj3iCKI8J9iQGLC0s0Gy12M7sjVVVFJ1ySUFSV8XiMqqoF8f7TPb8aZ88+yfPPv8jZs08e4GLdrRh70PjUpJzt7W06nT2V0ezsLO+8884dH+90OmxtPT4S8P3uzikppCmmaVIqlZlMxkiShKapWdRBQK1aJQhDJt0xSZpSrVaoVGvMz3WIogTbtpmfX+T0mbOMRiMmkzHlUoVSuUSpVKLb7WKYJqqmQZoSxypLs7P0er3ijrHRaCBLMru7u7RarU/NkZji84Ef+IztMWEUilFctYJxh/dobI+py/l7mNJsNun1dpAkmWq1hiTJjMd2wVdotdqF+ajj7DmM56HS+5EHTCuKwpkzZ6nX63z44SWiKGIw6B/g8SRJIjZtRUaRRXeiUilndhRjZFnKFmAPkKhUplEsnwWBL7pWYRgeyGTVNKEA9Tz3UEGlICsxSRpDnBLnmZlIaLroeOp6ThJ29/mvHbwo9l8nOWcrHy8Lk0mRfJEkCU8+eS6zFqmwtbVV8GLyxII4jvEDnz2eoZZ1YKcdzweJIPCx7TFRFKCqOtXqvfPmdN2gWqtjO6Pb3OQ/+ugSmqYxGA7QDZNarSYoCJkhbi6giMIQ27bRdYM4TrDHIxRZFN+e52VrWpWPPrp03y0aPos56/3Gpy62juKB7L+rvtvjnwTtduXuBx3CJIwolx8MGbFcnmF+foZTp05w6YNLrG9s0Go12d3dIQwjyuUyiqIIm4c0wXUngm+jaXi+h2EarK6tsbS4SBwHlMs65fIMP/fzX+XSB5cwTZPtbRnP9wmjgPn5eXRNXKSVSplOZ4bRUKgVzXazeF5KLOO5LpXKp59Nq6qMVnpwxZrvKGjafSazqzKq8fleC6WSOH+kfvzz932f4XCQEYZFd2g4HDDTbh8Zs5SmMZqmYpoqlUqZ7e1tNE1lNBplQdBlLMvAMHQqlTJxnBR3n8I1nszs8uB5FUXBsqzMAdyi02nj+362saaiENQ0Aj8oxpCaJlSP5VKZSqWM7/tYlpVt/l7mryU24vF4zGQyYXFxAVVVKJUf3DWkqnImJrg7PulxqipjPaD1JE1jhsP+gWskCAPRccxIxXEcI0uSUC8nopMYR5Hg2MkKcZ6PSEoYBIUnWq6WTlNBfPc8/7ZCPFcpWpaZcQD3In7UzBw1ikKCwKXTmaXf79Js1gjDCMPQqNer+L5HHEeFSlaWJWbaM6SkNJv1T/UZl1QZVdt7D0qf47rkqvJ9X4eUB7yWKopCkkS3XUvDYZ92e+aeY90s0+D5F75029fjOMAwdBRFRlVksa+5LkigKBJatlfVajUmE4fjx4+ztrZKq9nAHo/xg4CRPaDdavP+++8yOztLq9UgCAJu3rzGuXNPUq3dvVCyRyPW1tYLJfTS0uIn+r6Pg2FqlDv3t0P/qYutubk53nzzzeLf29vbzM7OHnh8Z2en+He32z3w+CdBrzcuHI0/KWQvZDL5/KwfjoKimBw7vsLOzi6O66BpRkEqTJIETdPRVB3bHqNrGsORLWIMdnZot1oEfsip06eL552fb3NzA1lWCfwx9Vo961x4hGHIwuIiY3tCGCakSBnxXiBNJVzPIwju7K90N0RRQug8uHFkGsWE4ad/vkdB0hIC//O7FvarEaO7PP9+fyioy6lEHAmRhIREvz+k3b5dPRrHCaORzcUPLwkezMguCMlxnBDHEY1GizAMqFTqxYhHbJJSkW14+3mFLYSq6ll4dUy3uwNIJGkqLEkkSYwQMzJ1GIQYmfvzYDhEVZTsjjkqrAMGwwElq5zl6EWsrq7juh669uCuoShKPpHK8F7UiFGUPLD1JLXH2Ygv/zyLzoBt24AQPsRZVFNeCOfmpSkpyLkKMTsfuUhiz1lekqQiY1P8jDQrsg7mKspymiUG6EVGpm3bNBpNdncHBEGMbY84duw4k8mEer3O9vYOjcUFJEkqumFJkuJ6HsszHSRJ/VSfcVlKCEJxHZVKBs7nuC6Ja+j+rkPpA15Lhf/dECSZNJWJohSQQZLvuN58HKI4wTniM6AoOp7n02y0GE8mha+boRtEUYzjeERRSKs1g+dNGI8nxHHK9vY2E2eMpuk06k2iSNAQNja2SFOFUsnC90P+7M9ep9FoFAV/mqa3db32e2npusF47PDOO+995nGh7IX0u/a9fY8sfWyD6FNztr72ta/x+uuvs7u7i+u6/NEf/RG/8Au/UDy+tLSEYRi89ZawYfj93//9A48/btjP42o2m1QqVUpWGdMQRm/CFiIiCANc1yla+SN7xMbm+m2qrXwW/fLPfpWvfu3nWFhcYjIR5MP5hQUUWc5m53PC1NS26ff72LaN7/vTlv1DhjAKD/gbgbgDDaPbeSx+4BNkcn5BeBaeRvn7Kssy5XKF0WjIZDImDH3q9Tpnzz6BYdzO29oPSaIgN+cxUsPhQBiaSlJBjBcGvAaqpiLJUsHXGNs248kYx5kIFWQcZ6ODpCBk56aoObF/CgHbHvHRR5d458J5PvroErY9OvB4FMfIh64RwzApl8o0Gs3CciPNcjENXXR70ux/aZqS7GtVSUiF+itJEnw/IIoiDEMX6tMsT1GW8+I8yYxxBf8PKEKuFUVFVbWsQzvE9z2q1WphYhlFEd2uSMio1Rs06g2ajSb1eh1SppSGB4woClAOqQgVWSGKbi+agsCn1+uxtbVBr9f7xJzf+fmFTNWa0mq2mJ2dY25+Hl03SOIYRZFpt9tYlsWTTz5Jt7uD67pomka1UsMyLSRJprvTzWxGNPp9UU/s7HRxXQdZllldXRVJKbJMGIZcvvxR8dnZ76UlSVLx90+jbvy88Zk6W//sn/0zvvOd7xCGIX/37/5dnnvuOf7RP/pH/NN/+k/50pe+xG/8xm/w67/+60wmE55++mm+853v3M/n/tAh53GNRuJCSOIETdfRAk1IuAMhh7asUkYWTUV7XjPY3t7Gtm1cx8E6VL1XqzWee+4FVlZOFbEdqmmyfOw4k8kYZ+IQRRGqKhRqnutRXVr8Kf4mpjgMYQMSF6oxEEWPpt5eFI/tMWbmepxvcDMzbXZ3ZVqtGWRZptfrAhRu7Zubm4zHNnEcUy6XGY/HhWO46FqQmZKKon80GgLCrTmvzRRFzUaMCkHgE0tiTJUv2mEYCsNCJEAqwrFzXlcOYR2gFW7RU9zuBB8GAVcuf8TpfXfgqqLgZQV2jiS3Wmi3mZubY3trS2wk2QxQURTSJCFJ06IwypEiOpX52pBL9HMBT35t5EUWQJKkTCaTTG0qQs4bjWbRJR2NRGEeBD6nTp3FMAzq9TqaJhIzDEMnOFQwPiCLrCn2QVV14iRGkfetN0mMesjvKwh8dnd7KKoquphJzO5uj1arfdcCuVqt8fzzz3PhwgUmkzGlUonZziy7ym4W/+TTaDRZWTlFv7/DsWPH6PV2iCLxM2RZRESZhhDozMx08H2Pfl98f6lkMRj0sSyhuO/3+ywtiYzV3OfrYfPS+jh8JtfKb3/723z7298+8LV//a//dfH3c+fO8e///b//LD/ikUPe4coXVk3XGY2GrK2uoWsaPXtU3E1WKzWxAIYhFy78mOWlZWY6HWzb5trVqzQadZqtdlF4HUX229zcoFQu4SmqMBHMNszD/iJT/HRRqVbY3d0FKKJuojimVa/fdmwYheiahqKqRYBzmqZY1hqe59Lr9dA0jXK5khXtwkiwXC5nXwvQdZ1ut1sYmubXnNhoZarVClEU43luweFSFKUw1iWFNElRFQVZUQmjEEmW0CQtMzsV54yTBKS9LV6EGccYxp7r+BR7d+B6xpfRjzCHtKwSg1zFpygkmbpTVhQ++OAiQRCIQF/dKDrjmqYTqAGu45AcYV6bjxIFj0oqchDz0eF+q5CcGC9JMnGcYBgmshxSrdbwPLfYBPPYsdXVG5imQbPZZDKZMDc3n6lWk6IIj6KI2kNCUP4ioVqtsLvbA5WMyxcTRxH11sH1xraF8j0vyhRZJUojNjY2MpWzThjOoZtHT0rm5xcplytZCHWPbrebdd8VFEUuih7HmaDrBr7vi7xXTSOJ4yz/t8F2dzuzOBKFkiwrNJsttrY2Ci8/IcI5WEzdzdj0YcJ0NfwcsF+p6EwmVKs1nnmmwVtvvZmRVIXrt+u5GIZOFMXUqlUkSeLmzRuA4Dz4foBtj7LCq4FpiYiDNE2L7pfrOGiaTrW2N4ZM0zvHcEzx04GhG7RaLcb2mCAUasRWvX6kGjHvgu1HGAYsLCyysLDA66//BZIkih3bFlwu13UxDJN6vV74ISlKztegGCWlKZimAchYllEoxUT+oehwxJFIQxAdCdGWUGQRtxFGQdExy8dQzUYrM10N0HUNwyghSVJxRzoFuI5D6dAduKbrB4LjNU2j1WoLNWIQiE1LUdjYWC/4Wb7v43qiG1CtVtE0DdVX8T0vc+0W/JfcQV4gzTikey0mwzCYTCKSZI8En1mgIssi6ULTdMpli1qtzmDQzziCIZIEpVKZIPBZW1ujXC4XXJp4KEMWJyVLMqZp0WjuiXemeDDQdYNWq41tjwlDoUast+oHulVB4DMY9pEQWYWWKT6vjuOQpinVapU4ibFHQxLETcBRGYn5f++882NkWahf8ylLv9/n2rWrNBo1xmOnUKxWyhV2el1hMSPLNButwkYkTUWxWCpZxfH5axLPe6+Ymp9f4PLlj7LH9Uz973Ps2PEH9av+xJgWW58TDnehPvroEqfPnGFzQ4x7NF3HtkcEgfgg1OoNVE0rOlL1Wh3bHuH5HpIs0+vtMLKFseHc3BytVpvJeIysKKSHjSWnMuuHEoZuYLTvzl3Ju2BJ5nUUhgG+72WS6yonT65g2yN6vZ2si2Tiui7jzPgyioQaTGyyYryXE6U1Tc0WJT/jCRqsr69jmjGqqmFZFmEUkSQxElmBliTESUwUhVlXRBRmSUbSVlWV48dPEgR+YVlQqVSn1+A+WKUSYRAUHS0QkTvWoTtw3dBpGYLAHPgBH1y6SBzFRGlIitgUiSJ83yOKIyQER07VNEzDxHEmhQgiL65kWUVRVAzDwPNcHEcIj/LRoSDGYEHWIwAAIABJREFUk42aU3w/EI70akK1KjohURQhy0GWwSk6ZcK/aFxsbtVqFSSdsF7fdx18+pieKT4bdN2gfYf1Jh8fFutDkmKPbVF4S2SfXQlFFlmo165dJY7jjw113tzcwrJM0jRhe3uLyWRCksQMR0P+61e+Sa/Xp1yusLPTRZJkKuUKiqIwmUw4fvxEkYeYk97zMeStW7eQJFhePlb4fOXFVO6ltbm5cZs1xcOGabH1gOA6jsgY00SAtPAzEhV+qzVTBM0Gvo+fbVphGNKZ6aCoCptbG9SqDXRdx7Zt0iSlPTODglCuxVG8N3qII1r11k/3BU/xqZF3wWRZxnHGWFa52Mxs28Z1HS5d+iCzZEgZDPoEQYjv+yI2Q97zZcpb7EXeYRxnXk1kvl1SEVodhgF+EGRbtFTkLCZZx8uNxMhR13SiWFyfqqrhug6NRvOeVU5fJMzPL3AluwPXdJ0wuwNfvsMdeOAH7O72iMIwG9fmQdJqQRSWkrgItw9dt3DvlmQZiZQ099ySENl1jpOlEqQFLyzvoOZGp/tjfFRVo93ukKYJqqoShiGLi8tIEpnrt5Daiw1XdNbz7twUDzfy8WG5VMYe2yiySB5wJg6maRZdLgBZVtja2mRpafljMxIlSShY+/0+nu+hKiopKc5kzJUrV1haOoZt24W/Vi7UME3zQBe8Wq2xsLDApUuXGI+FP1e9XssCrM3biqmHyUvr4zAttj5n2PaIzc0Ntra3UBWVzuwsc3NCsREnMbphYBgmm5sbhFHIaDREVTVKlpxJ/kekaYIsK0UgbRCKEcNkPKZer1OtVfEVmTD7eqs+NTR91GHoBpVajednXgTAtm0uXPgxN2/eyMY2gpc3HA5QFIV6vU6v1yUMwyK6x/f9wtU9Nxgcj8ekqTCs9Dw3GwnKhRllEscEYUiSxMiSLFzpU1FwCfVhVCgia1VBjI6iiK2tTXT9OMbn7Gv2qOIwtcAqlVj+mDvw8dhGzUjLfuAVBXBeGOcRPaqqikxEWSbO3vskSfbx5KXi+NzBPed7SRJZKHB2pCRnRHqFcrmMYZhcvfoRnc4srVaLwWCA5wk5v+s6JEnCl7703DT/8hFEFGVdSlmiWqniei5JZvVSKpVQ9wl3RLSTVChUcxwmos/NzXPx4vv4QVAIgdIkpVqr4TgTbNvm7NkngT3LhjRNGY/HXLlymatXr/L8889TLlfY2Nig0+mwtLRUjAZPnTr9SBRVd8K02PocsV+BND+/wOrqLa5euYyiqui6QblUIYoCbty8Rr1Wxx04RafBtEx0XcPzfCaOTa3WEIsmgtOjqirjyZj5hQU0VZ/eTT6GCMOQy9ev0e/3GAwGhYt3vnFGUYRpmllcS0CSpEVOoud5RddCdDUmJEmKLIvvDYI0i+dRipieJEn2dbZEMHWcxHtxMdmIQZIkSmb5gNVDntdnGNPr8E64lzvwMAzRdJ16o8HW1iZpkpCSjYOTZF9nSgT/FvE6mTUEkoSMMELdK9D2QqmF8a1cfB+Apoliq16vkyQiAiiOI7a3twrezPr6KoZhUKvVmZ2dFZ5JmSVNqVTi7MKzn8evbor7jP1qRVXVqFY04iSiXMlpA9EesT6OmZ+fuysRfWXlFFeuXMZ1HcH+kyVMy6TdahPH8YH8w83NDdI0ZWdnpxD7eJ7HhQsXWFhYKCwc4Ogu2qOIabF1H5F3sXL7BkFaFgokHTi2fJwPP7qE6/nMtE1My6S/KzgWw9GQNIV6rSEiUDyPUqmEHwQYhkWlUmE4GADQnungZoTYn1ao5hSfL/zAx7dHRFGYBfzK7O526XTmMAwdyyqxvX2dSkXwHgzDzPg0YjQkZ0HEwhRY/CkI8qKrFcdiLCU4YWFBwE5zg0zxaKEoUxQFOVOiBWGIrhsiGSGJMxNL48jsO9u22djcwHUmWKUyC/ML007IJ4CWqbWqlQpB0GS31yPNBAlppgJNowhd00hyQ+M8hikrgnMBQ648BMHLEoame1YReRGWprC4uEy73WZra5MgGGZh1CEzMzOFh59lifVI03TW19eI44hqtYaiKHSsJYzAn3bWH3LcSa2Y37TvJ9ZXa3XKtfJdiejVao3Tp89w+fJHws/NNKmUK8iy4HnuL8wcx2E8HqNpWsHtNE2TyWTM5uYWp06tHHi+D6udw73gU5uaTnEQeRcrCkNK5TJRGHLz5g2ifaoyq2RRq9aoViskiYjXUDUNy7RwXRfLNNENHVXTCMOIY8dOcPr0GWY7s4RhSL1ep9WeIQyFBPy5559/pCv9Ke6MQb9P4Aesra2ytbWNLMsYhln4Y8Wx6Grl0DSNxcUF8ogVkVwgOqCmaWTmqHLhJp4XWknG6/F9v3AiF2WYgIiDEcVbHMckqfBtssejrDsiESfxkepXYUD4YfaZqBBl/84d0ae4MyqVajHalWWZUrlcZB0qipw5nUEURyTZSFDNOHpJkmRfF55osiyOzg1IRccqKdI5FEXNrqWUbnczs4oQppSmaVGpVFEUteDwpSns7u7y7rsX2NraYjQaFZYSQeAz6Pd/Wr+2KT4hcrWiLCmEYYAsKYW3liDWt5mbW6DdbgsT0k8Q6pwbjeZjatMwkGUJ13UplcoHGgOlUgnHmRTXJIi1plQqFdyv/XhY7RzuBdPO1n3CUT465VKZnW6X4ydOFMcpioJne5SaJZI0wfM8BoMBkgT22CYIRHfANE3W1laZm5vjZ7/y1eJnHGV6OsXjBT8QLt0lFjFNkzTd5datG8JTKRCZdltbWwXfan5+nlarRRhGWJaFYej0+32iKEbXtSyvbs+4Mh8J3Qn7jQBA+H5JnpQ5hmtIgOM6RafLNCzSVEQI9Xq9Qok2tm0Mw7zNW2pjc2Pa3boLdENQA/qDPmN7jK5rKJbYbJIkxnFdkjgmiRIkWUSkyIpM4rogSaQJRfChiHDajz0loogEMtAyCb5tj7l160ZBYs7Hj8JjSxRmURRmo+igUKP2+7u0Wm0URWE4GXNvwWxT/DTwcWrFo/BxY/D9sTlnzpxlbW2V7e62SBSo1m4zHp2fX+Dq1at4nifCqqOIKAqp19s0Gk1838+e48Nt53AvmBZb9wlH+ejMdDrcuHGdwPcLBZJlWQyHA/zAxx6NUBWluIN1HAfTtJAkoQTr7mzz/AsvHHCSz0eV165eKYquKR4vjG3RXkcSd3RBIDY+z/NQFIXV1VtCOl0po6o6/f4uiiJTrdZ48slzDAYDBoMhrmtncv49f6XD4cNH4fDDEmSGmZkxahxjGiaSJKFpuiBpqyqj0TDrrAhumG3bRHGEzt6CLrylxvftd/U4Qzd0NFWlXC4ThiG+76GoIrpJgsKzL04EZ0+K5T0pv5RlXRZ5h4K/JcsKqqrg+0ExPhSk9z1+X6/XA0QWo6aJjmgQ+FlSgBg7ixSMgDiOKJUEj3A8zt7Xe4uzneIxwLVrV+n3d7P0CIN2e4YkSTFNg+PHTyBJ6QGriKPc5+v1NpIks7JyCuA2OwcQFkqHfb4eFUyLrfuEo3x0VEXhxPETqJpWKJCeefZLlMpi/p2kKYauFSMaWVaykGARrZGmIrRzfl5E79wp8uNcdO6n9bKn+BwQRiGlUpk0SdjZ2SEMAwzDFN5KkYj8qdcbGIZe+CdFUUyz2aRWq3Pt2rWswJKBvdDifLx4r7thCsiSUC8ahoGmqsSZ91Z+V9rb3SEKo4InlCsX19fWOHP2ib3XFgRYpfKdf9gXALY94vq1q2xuboGUMjc3z8rKKeaPOnY8xnVdYdlACpEYIeeFbhSFRcFFbjabk96zGluW5QOpEq3WTJaB52WjxLTw3RIjxzSzFUkIAmFBoWaiHHE+CU0T110Yhpn4IsmOD6lU7hzGO8Xjh83NdX7y3k9QFQXDNEmShK3tLWrVarEeGIaOYYQHSO773eePKqAOjyjzztmdfL4edkyLrfuEO/nonD7iYlhZOcXNmzdoNptZjIEucvI0rVCZ5WTjK1cuF2Zvd4r86G0OmD/x0n19PfJsGzTl7gfeJ8SDAKnUua/nTB8gJdGSNH7tn/zj+3Ku0WhEkiRUTs7z0o9eLoolIzOtzK0dOp1ZXNfNSPQBp0+f5urVK7z8srgW4jje56MkFf5M6R1aWy+88Dy9Xxwe+ZgEaLpGvd4gSRJc1ynOrWk6ge+DJIoyTdeQkHBcl263y/HjJ/Z9JrzPbRwQRCnH//7dw+5FPuTt0TZHYeZkC/k+fg4c16F37SrVlTIz+s8AKY7j0JVljldVUrmKVbLQVI0wCilrAWUWkLL3LooiSEUxJMlyEeEjAqjTIrQ8jmNIU2zPKbpXeZRSt7udCSiUjCQvul6iCyYThhFBkIsmyNSMwixX13WWl5cplcpMJmMGg2E2ohab6iTyOPm3/1tM6/7xayS1ghKJylE3NVLvdiHG/YIzTlBPnrj7gfeAVHmw2+w4gLlf/pv37XzV0x00/fbX4DgOGxvrXJccjv+9vy1ieBSVOImpR5FYL2oNZmY66LpCJYjwPJfK6bPFOSpA3XHY3e0JVa1hIrfat/GzBqu3OPbiU4UICESqRqyqVJaP3bfXmiP5HAQe02LrPuFefHSq1RrHj5+gt7OD4ziZkivC8zzSNC06FlrmKH/t2lWee+6FO0Z+/Oj3/pznnn/xvr6elb/TJqk+OM8kPY4I4gdX3N1vpJe7mHc/7BMhzO7invrvXuE//If/QJqKbsOZM2c5f/7tjKCq8vWvfxPbHvHee+/Q7e7w8stf4Q//8D+i6wbj8ajoNOQb4cLCAv1+nzRN8Ty/MK/M8b//L7/Ja6/96R2fV6Pe4Ny5p3GcCdvb28SxGH+3Wi02NjewTCvj/khUKjWCwC/czZ3JGKu0Z84K91+peOXHG5/ouFLZwJn4n+jYv3ZqDrVyv95Z+P5rP+D11/8MWVawrBK2PeLChfO4rsP/9r/+TwSjy1hWiWef/RKbmxt8cOl9PE881zAMcF0Hx3FRVTUjsStFykCU+STl/+WO33k2oohkIiO6Z4rHRHSqxDUWF+fIxROiQyphGKaI4JEltre3mZnpYFklFhYsHMfB8zw6nTlG7ibXug5n93UzPyuU8hwTR6wNpU6VSffzE1hErkOoPtpecX/1o1v39Xz/zcoSo36f8+ffptfr0m53WFxc5Pz5t7h69QoXL76PLMvcvHmjMCedTMZUq3V+7df+B9pDm3rdYnV1C8sqsfjs3l61vr7Gq69+j1qtTrlcYTIZMxoNeeWVbxW5sAD/8fXX6XTmbgu873a3+M53nrqvr/fzwrTYuo+4Fx+dlZVTOJMJsiRlAZtp5tSsZZwXQWBsZD478MkjP6Z4tJErf1RFpdVqs76+zqlTZzLOjMLa2irlconXXvuhiHTyPL785ZfZ2ekSBD6u6xZdrf0Zhjs7PSRJotFoIMuj4rhPCkmW8X0P1/WYnZ1lOBxiGIKfsbvbJwj8zOR0rxNSq9V44uwTRWF19eplrFKZarXK5sY6hmFSKlcIg4DLlz/kzJknHmvyfK/XJQgCGg2RF3j9+jVs20aWJSSEB1a/v8u1a1dJ05R6vYkkDen1dkhTMh+1gCgS3Z0oSrNuZZIVSOLn5ErUKAoLQYQkiTGhGBnmnCwhu89VqYeRjxbz/MxyWVg+iExN0emamenQbLawLIs0TR95if4UB+E4Dq9+XxREnc4ck8mY3/qt/5ennnq6UMmLLFYFx3Go1WooipoFUds0m01GoxGj0ZCvfe3nD5z7/Pm3qdXqt40Oz59/+0Cx1W53sgJub3+dTMa02/d3GvJ5YlpsfQoc9tP6JES9/d+DJOF7Lqurt9jt72b5iFoWFitGPKZpMjs7K9y9Q7FY3mvkxxSPLqrVGvPLx/j1X/+f+d3f/R1u3rzGe+9dQlUlOp1ZFEVidfUmjUaDarVGu91mZ2cLRdkjP6fpnolDmkKUccEEJ0fH83wURRynqtoBIv1hSJKE40xwXQddFxu04zgFf6hSKTMcxYLIHfi4roMkCwXjxubGbYXVOxd+zEyn84VTKrbbHXRdx/M8LKvE1tZmVhgpKKqaFT8Wm5ubrKysEMcxW1ublMsVdF2n19sBKDh8grh+cCycv/d5BqaUBYoLQryMLO9ZfqiqiiSJwivH4TFzfv6cn6coCsPhkHK5zMLCIvV6vTj2cZDoT3EQu73ebQVRfl3mKSeXLl0kimJUVaVarTI3N89f/+u/yMaGoL6cOnX8tm4ViJuPTmfuwNd83+eNN94oumgvvvgSL774Eq+++j2AAx2ww8Xbw4xpsXWPuBNJ/Shu1lHfI8myKLJ2dwvioKIo+zoMEu12B1mWGA6HOI7D3Owctj2658iPKR59LC4u8ff//j/g3/yb/4s0FXyuU6fO0unM8eabP6JWqxNFAaurNxmNbCRJRpIoJPv5xmkYOs1mizAMGQ6HeJ6XcQTjLKQ6uSOXC0SnRJJk1tbX0FQNyzKZmZnB81yCICCOY1RFKQxSDd3MruuIt978KxYWFw8UVmmaMhlPqNcbez/jC6BUfPHFl7h06QOuXr1Ms5kWnadOZxbLsrCzly9J4uZqPB5jmgZJImxi8nDeOA4z2sGer1EOwbPa4+qJr6WZc/zecbIs1KWmaRGGo8KPC9g3QkyzMaPgdIliqoxlmUiSWMsAarXaYyPR/6LDtm02NjZw3QmWVeb0l6v4vs+lSz9iNBpSq9UxTZMbN25k2ahuYS0jgs4dlpePs7CwSBxHfOc7/z2dTpULFz7ge9/77oEi6nDH6urVy3z/+3+ILMs0GnV8P2Bra4NXXvkWr7zyLc6ff5tud4t2u8PXvvbztxVvDzOmxdY94k4k9cNRAvs7WYPBgEq1gm4Y7KytY5kWUSRyzMTF6qOqCo1Gg/HYpt/fJU1TqtUqtVqdVrt9oKA7qrj6NN22KR4NLC4ucfLkSf7aX/tZ/vRPf1AUKPV6neFwyBNPPMn583/FaDQoNtO9sZCEYYhgaxDy/Jwsb5olfF8YUIrOxsHOlthqQZYkFFlBN/TCBiCOYyyrlMVsuEVciyj2BMenUhHu0dvbW7cVVrmp4X58EZSKefH8wx/+MT/+8QVqtSZxHHDq1GlBig9DPM9laekY1WqVM2fOMhqNcF2HZrNNksQYhslw6BeF1OFiK4/kyT2K9pvY7j8uTx6wLPG+jcc2whRXLnI1cxNTEGao1Wq1MMAtlcrMznawbRtFUQqJ/uPcmXzcYds2ly9/KLrQpQphGDAYDPjBD/4Ty8vL1OsNPM+j292h293k3LlnqNVqhRVIqzXP4uIyJ06c5OLF9zh37im+973vsrV1i5/85CJPPfU0y8vHmUzGvPrq93jxxS9z/vxbgOhoff/7f0gcxzz11NMEQcClSxd58smnOH/+bb71rW8/UsXVYUyLrXvEUST1KI5ZXV0rCh3BR9koul/rG+vYtk1/t093p4tllbLWfIymqfsk+RSbVW4yOB6P6fd3aTZbd8yG+jTdtikeLeR3gLVavRhBieJ8TBRF1OstJpNJoWTd39EIw5DJRGQjipwxQZh23f3FTqZmkyRyj3k5CzU2dJ2UFM/ziqNzVdBg0Gd2dpbTZ85y6+bNYiQVRSHj8ZhKpYyiyLcVVuVKBdd1D3jQfZ5KxYcJi4tL/Oqv/kN+9VcFQfh3f/e3uXnzBt2dba5fv4qqqrTbooipVqu89NKXC9l7EPh0u9uFetn3vWLMJ8tS0dkUopsgMyJVCmuGHLkaMR8r67pW2D14ngukqKqCrhtFbqZYp9LMaDclCHxu3LhOrVbnpZe+PC2yHgOIsZ9ZxC3puoGiKvT7PZaXl8lvyMpliySZoV6v8eGHDsePH6fb7QISm5ubzM3N0uvtoKoaUXSR69evEIYxnudRLldpt0Us0Pr6etGxeuONN5BlmaeeeoZabW80vbW1+VgE3E+LrXvEYZK667qs3rqFaZpFofPOhQvMdGaKYzRVo9/vEwQBmqYxHPZxnEmmSDIxTeFXI2INSui6ju/7VMpVUlJGoxFxHBMdkT0Hn7zbNsWji8XFRX7rt/5fUbT3RYFjWSVefvll1tfXsSyTdrvDzk6PvIsRx3HhrRTHIlA6SRIcxy1UbAchxkiWaRJmndcoDJEkGdIkI+jLJGnKxHGoVkWMS78/EMcAo5GNqqqFncnOzk7W8ZIOFFayJPHc8y9g2/aRSsXHBevrawdUXC+++NKBu/PFxSV+6Ze+zr/6V/8nSZxQrzcol8vs7HR5++03aTZbpGmKoiiMxzbj8ZjxeIzv+1l2nVqMcISwJkFRNGq1OkEQoChqJlZIiKIgy8cUXK1ms0UcC5uHer1GrVZna2svdNo0TVqtGWRZWEeMx2Phs5ZZ1Gia8Aj0fW+f59Hj9f590eC6E0qlgz5psiyzsLCIrhsMhwOq1Rpf+crPcf78ec6de5rxeMyHH14SquSNDXzf5c0332RxcZGdnW6RLCBJKpubG7zzzo/5pV/6OuVyhW53i8XFJRYXl+j1ujQatSJFRUxr1tna2iRJvsb6+toj3dmaZiPeI+bnF/B9n8D3SdOU7vY2SNDpzIpAXsMgSRMm44N38rkpZBiE2cZnoKoKrusymUyK2Iu5uXniOMky0BRURc3uKuUDnYX9cB0HTT9Y+Wu6Lsj4UzzyEBv2Wzz11DOcOHHy/2fvzWIsOdP0vCf2iBNnzz2zFtbOYpOsZpM9a6vttjxS2w0ZMmQZ8kAWpAvrwrrwjS58aV/oxgskGJgBLMCyPA1LhiFBGPUQM7JmkYbdPRyy2cVis7v2rC33s2+xL774/4jM2sgqNreqzhcgqliZec7JOEt88X3v97y0Wi329nZpNhucP/8yf//v//f89b/+X6GqKu12G9t2UFUN23aoVFxMU2yPiatVUVAV4dGFxEhbR9c1slyAdZuNVtkhyRGjyVD6s8gzev0es9mMKIoIgoA4jsottdlsRrfXodvdY29vj9W1tRIBoRsGyyurTCaTZzqgemtrkzff/B6/8zv/hDff/B5bW5sPff0P/uBNfN9jYWEJ3/f4gz948xHft8XCwgLz8wssLi7hulU0TWd7e5tut4PruiRJzL1791BVlWPHjqOqWolnEEG/quxsiaWElZUVjhxZQ9M0mXdnlhuKuq6Vm4qFd8+ybFy3Sq1WpVKp4LouzWYLwyiux3NarSZzc3OoqiI7pKJzatsOlmWxs/Nk6I1DfXnlOO5DOadZljEaDZlMRtTrdU6dOoVlWXz1qxcYj0cEQUgQ+PT7PRzH4dy58zSbTW7dWscwDGk3cAmCgMlkyp/8yR/xz//5/82//Jf/L7dv3y7fD3NzCywtLeP7Hp3OLjduXGc4HFGpiEWMR713niUddraeUg+a1JM04ciRozgVp/wet+IyOzA2yYFmq0W328HUVer1BgowGo/KFf3ig3A4HJa+jER2s4IwIIoiGvV6aZQ/qEMkxPOtg+vRx44d5+tf/2UmkzGOU+E73/kr5fdFUYxl2WVXI4oEn0lRdFZW1mi1Wty4cQ1NUwnDuDSzHzRDZ1lOkkZoqkocR9RqNQaDAXEck6WZpIcb5FlOEsekpthANE2Rx2hZFrpusLu7IwKUKy5plvL+xfc4d+48589/BWDfF/KMYh8O8oGKdfg/+IM379u4unjxx6RpypUrV8r37dLS4kNr7QUOQtP2OXNB4EtMg3hu+v0+0+mEJElQVVV+XS1HgyJJQMcwTE6cOEme57huE03blt2roMyb0+QiQxiGmKag0I/HYyaTCWEoTPdLS0ukaVaOpFutthxHpgwGQ3Rdw3Wr1OsNKhUH0zQPkQ/PgVZWVrhx4xogrALj8YjAD7Btp9yi/cEP3uLkydP8jb/xmwD87GeXJZJEJ88zBoM+CwtLbG9v0+kItlav1+Py5Z+iKOI1Ox6PCMOQF188X75vXnvta+zubnP27Dl+8IPvE4Y+lmXzrW/9RY4dO85kMn7ovfMs6bDY+gQ6aFK/fv3qQ+O9B/0omqoSRxHtVlucTBSF0XAgM8Zs4YOwbMIokuZlTV4pdEnTlFarTbvdxjTMR3qxDpEQz7cetR5dtOBhf1Q1Pz/HlSt7hGGIqirU63V6vR6aptFsNvjLf/k/Ic9hd3ebwaBPEIhVbTFaysuIF1VRy65XlmWYlkkYBKAqGKaJZVpEcYSCgiYz9yaTsSTZh0BOuz2HaYoPa8u0cRyHjY17GIZRGrOfZezDk/CBbt68xp07d3FdVxqLfa5cuYLv399xLnAQB5lnYRjKcayF5wkSfxRF+L4vn6+MJBEFsqYhO1UCMnvr1i1M0+Ds2RexLJter0OeiyIrSVK5oq/IkfIMwzCpVmsYhkGtVqPT2WM4HGKa+50w27YBBd+f0Ww2RFEuw4NbrbVD5MNzIrGUcZbt7W08T4ysl1dW+It/8S+xvn6TyWRMs9lkYWGhfJ1fuHCBy5c/JElSXLfC/PwCnjfD8zzefvttLl26hG1buG6N4bCPpmnYtsWJEy/Q7XYZDgf8w3/4P/Pqq1/F82bcuXOHfr/HSy+9xIULX6PdFv6ug595z6IOi62fU48qdIQf5QJ7e3tsbG6IGXSeoRsGcZIwm03Z2LhHlmXl+EZRVRYXFgkCn+2dbTRNwzBMLEsjDEMCP2Bt7Qiaqj7kxTpEQjzf+iig38EOy2/8xrdRVZ2dnU18GZVTqVRYWVlhbe0ob7/9Q7a2Ntjd3aHVanPkyDGuX79KFMWS76SgaYK7ZJgmrltlPBkRRzE5CpquU6/VRZRUnqPqGkmaoKMDCpVKhel0yszzyjEVgOu66LqO582wLJuNjQ1OnDx53+/4rGEfPq4ABhgORzKXUBQhjlPB932Gw/sjkVZXV+l0OnS7HQZ7u7iuKzNSLVqttgwa12TXKS8DpIuuVpqmsoAT470wFKPBjY170isaHyDCU+IiDkJvwzBgPB7iOK4cQ4uLvjhOME2LSsWlWq2Sphm7u9t0Op0yH1Ft2vykAAAgAElEQVT4tg6RD8+LarVaedFz6dJF3IrL3NxcaWovyO0gLvQ6nQ7j8QhNUwGF27dvSR6f4LwJX+egfA2dPHkGx6lgWTYffvgBFy58jXv37vL22z/E931OnTrD0tIy0wesOM8axPRBHRZbP6ceV+gAZOk2R9aOYMgr/K2tLcajMdPZVHpbUjkOEOODAhA3156n3W6zsbkh70VcRRaEZu8R7fqnodcf6tnSRwH9DnZYoqjH4uIiu7tbjMcjjh8/ziuvfJV6vck77/wZP/vZhwCl6XljY0N6egwcx5FeHo04isjSlDAMMA2TUA1JM9ERmc6muJUqc3MunucTRQGNepMkSfA8H9O0mM2mYqRoW1QcsbkbRRGOU8EwTbGx+Mix97ODfXhUAbyxcY/t7S1+53f+iWTlqWSZKIRs25b5hCnN5j4Co/DjvfHG12m12+zdi+n1ehw9ehRdN9A0gWTwPLFpWmQVHgwTF11JSs8WgOfNJArkYUhpgYoQBVgKCH6WZdnCs5dlVKs1zp0TAfdhGLKxsUG73UZRFE6cOMnS0gqDQY/JZFKCTtfXbx4IE342OpTPsx7kZa2sPP3z4jhuedEE0O/3+OlPf0IYhrz55vcYDHocO3aMM2fOcuvWLaIoJElEIH2z2UTXdRYXl+h2ddJU+P5sW2S83r17l0ajyd7eLpcv/5RWa452e45OZ4/BoI/ruvze7/0ua2tHME2Tdnu+HF0+izostj4FParQuX79Klme0+31CMMAy7JZXV1jZ2ebmTeVIMhEfqAKD8Vg0CfLUlqtY5iWiOpJ04w8SxmNR9y6tY6maszPz//cj/mQy/XsaHV17bFAvz/8w3/DwsISvV6Pixd/xGQyxvN8+Z/H1tYGP/7xj+h2OziOw2w2JUmKTpbojBw9eqyMbjF0XQBHvRkzb3bAE6Rh6CJgOoqFH0yYrs0SP1CpVERxMLNIfQ/TMMnznOFwgGGYHD/+AnEUsbi0JCOq+NSxD5923uLjdLAADsOQd999hw8//ICXX36FU6dO4/siXHd1dY0wDBmNhtTrDY4ePXaf56Twde3u7gGwsrJKteqKBIHlFW7dWmc0GpJlGbVanclkUhZKhc+uqKWKDpWm6WRZKgst8fyJTDlFYiLyskASRZrovi0sLDIc9lEUtdwIAzBNkziOuHv3jkCBWKLjNj+/IAGrIoOx4HodbiZ+8XoUL+uT+CJXVlaI4ojJZEwYhvzZn/0ARYFf+ZVfx/c93nrr3/PNb36LU6fO0Gy2GY2GXL16hTAMWVxcYjAYkCQxlmWxu7tHnosN6Xa7RZblnDp1mvfffx/HqVCtii1IwXCr0Onssri4fODRPB66/CzosNj6jDTo9xmOhpiGiW2JmIvtrU26vS6NegNFUcrtQsEmirFtm6pbI5OfnlW3Sqezx3Q2xTQFaT4IAmaz2SON8k+qQy7Xs6diPfpBFR2Wwk/x7rvvEMcxuq4ThiGXLr2P4zhMpxMJMQ2J44RqtYpt2+U2rK4bJTsrjmMxcoLypJ6mKYaui8DjNGV+bo6XX3mVrc1NNjbuUa3W0DSVfr9PmiZUKi6KopQbinNzc7iuSxgGnD4tQoq3d7Y/VezDfSeYz9h4XxTAf/RH/5bvf/9PmU4nvPLKq9Rqdd5//8e89tobnD//Epcv/4xf+7Vv3NeRfO21r5W3c9DXZRr7uIw4jjlz5qzc7nqRmzdvMplMDgRLpzKz8CDMdJ+rVuAiRPh0LgOm7/8dVFWVrxWBcDBNU8SDJff7r8bjEXmeE4bCKJ0kCXfv3qHVauO6LpZllduJ1n3YmcNi64vSo3hZxb9/1PPyqG7Y2tpRtjobvP322zSbTV566ZVypLiwsMjlyz/lK195hcGgz9raEcIwYHNzE0/aCcQF4AzLssrXa5pmzM3N47pVLMsuX1eA5MlFxHHC669/nTfe+CX52B42yH8cWuXLpMNi6zPQZDJma3uLwPepuC5VV9DjfT9AVVVct8pwNCy7AqKFb4mTUJ4zHA4BJDwQGUjbRNcMjh5ZRNMe9m09jQ65XM++Ll58j+9973dZX7/BdDolz3P6/X65YQi56Fz6vuxMiJge8bWU0WiIKXEheZ5Rq7nSgB2QpSmqKuC6ai4Qp3mekWU5TqVClmZ4nsfmxj1AIUkTRqMhqoznsS2HWq1KkiScPn0W3/eYTCbohnFfUXXwQ38ymXDt+rWfqyO1vbP9uRrvV1fXaLfn+I3f+Mu8++6f02g0S97Y+vpNXn/9DXzfw3Eqj40Yuc/XpSgyyDsmCMTmoAj2bfDCCyf4yU8uyRNWIv1WKoqyT4V/eGSYo6rqgegm8a8ilkcU1Zom8DNJIgrser0hDcwFuDSi0+mwurqGYZgMBn2iKMS2bVzXLTMYD+pwM/GL16N4WYZh4nmP90U+rhsGv853vvNXuHnzGuPxmEuXLlKr1Tl58hTnz3+FP/3Tf4dhGLz22utcvvxTVFXlyJGj9HqdcjEEoFJxOXr0KKdPn+GNN36pjPq6dWtdWg/Eee/IkSOsr9/EcSqcPHmqfHwPeiKfZCP4y6TDYutTVtE10jQRLBtHMf2wT71eJ05iKk6F8XhEkghPjK5rGIbB6uoa0+mEtbUjnDl7lmtXrzIej9B1jQsXvlpuZACP9W09qR5FwRcG5cMPyGdBFy++x2/91v9Gq9XmzJlzbG5u8tZbf4KiaAfI4QpxnEjztF/+7L4pOiXLMhzHwfcDtra2SZKYnJwccGyHNE1FkZVmgEKaJsQy/iXPc+7eu0vVrdFqtugPBuiKgmlXqFQqcotNF0WYqpZds0fpaTpSHzUm9L0ZFfeBE8xnbLwvjPIHyf627TAaDZnNppw6dfY+PEfB5iquxFVVLeGNg/6v0OnsYhhmSdCuVCpy7NIu199FgWOVxvgCDP+gN2vfTA/Fc1ZE+aiqWv6/GDWK7mWSxDiOeO6vXr1CtVrDcRzq9TqKolCprJW3PZvNysdnHfDfHW4mfvEqeFkHWXpxHOE4j/dFPq4b1u/1SJSQ27dvo2kChhsEPhcv/oizZ8/xjW98E8cR8Vsvvniec+fOMxj0+cM//P9kbmLKhQsXWF09RrVaZTQa4rpVPG/Gt7/9HWazGf/6X/8rms2GXLKZoCjwzW/+h/ed9x40yD/JRvCXSYfF1lPq47xORdeo2Wzhex5BEBCEAb7vU61W8TyPVrOF5/skSYSqqjQaTaquwEUowPLyKsvLq8A+WmIw6LO5uVl2KhYWFrl+/eon8lwdcrmeXW1tbfKP/tH/ynDYlydd0S1aW1tjb6+L49hEUcB4PCnDiB9UnuclbLAIGRYdGQVVESZrBTBNQQovtg8VRSGSTC1VVYmjmHE2wjItNAnlzbJUksZNms1Wufk4v7DAxr27XLt6haPHjrG4uFRCTYfDUZkdCo/vSH1cUeZU3M/deF+McU+ePMV7770rj2+GYejlEkOh4kpcbPTt8N57P2J9/QaGYeIeuPhJU1EE7+xsc/36Vba2NtF1nWq1Xm4kOo7DYDCQhVN+oHASnixR/CgkSVKyjQQjzUTgIvQSNWGaFo7jEMcCLaGqKidPnio9WPfu3WU8Ht2XbVkUVMvLK9yQ29jF9x9uJn7xepCXFccf74t8XDcsDAMuXrzG+fNf4erVywSBj23bdLsd/s2/+f2yKHrllQtcvPge9XqD+flz7O3tMhoNOX/+JVqtGnmu4/uiU1sUTqura/y1v/ZfAvDWW/+e2czjxRfP8/f+3n/HxsY9JpPxQ0tBhZ5kI/jLpEOC/FOo6FolcUzFdUnimJs3rjOZjMvvKWjujmNLcFsg1qM1MZZxJBzOdV3m5xcFvyYHTdc5cvToQ1eny8sr7HU6XLlyhTiOsUwLz5tx48Z1up3OYx/HR+lBCn4UhoRhyPLyyqd6vA716ao4WXe7e1QqVdbXb/J7v/c9fv/3v0cUJdLPI7oUiqJKttLD11OKIhAPvu8RxzGLiyucOXOWWq1e8pb8wCcMQhGzIX9O0zQs04I8JwgE7ylNRHGVZilpKlosruuiKCrD4QDHcVhYXGQoCwPXddne2uLdd/6cyWSMoqrs7m5z7eoVbt9aLxlUIgHh/k7rwTFhkdZgWTbbkly+srwixvL3va4DVj7D1/Vrr32N8XhUjlGyLGVvb49z584/NM4QZviMq1cvy2LFZTAYcPnyTwkCn2qtRrPZRlHg2rUr/O7v/itu376NqmrC87m9RRQJ0OxoNJRLNmmZe5jneWmEj+NYht2rIkqsUhFWBF0ny3LiOCqLrXZ7jpZkAGqaWrLXtre3JLE7Z2tri1Ae1/DA50URlm0YBrPZDMMwDs3xXwIVvCxdN/C8KbpufKx38VH0+DiOSlbbkSNHef31r2NZFltbG3Q6e2V3fWtrk3/wD/5HfvjDH3D16hWGwwFf+cor5DmEoYh66vd7zGZTFheXSu9i8Zm2srLK3/k7/w1/62/9HV588Twvv/wq3/72d8oRvONUHno/FRc6B/VlxkMcdraeQh/ldSr+3N3bJcsykiSRowUfz/fQVI3l5RWarZbwZOU5uq7zwgsniKKE1dVVojBEt+3y/oou2vbWphj7yHw7x6lgGil7nT0Wl5ae2nN1yOV6NvVHf/RvWV+/yXg85u7dOyiKKrlKIZ7noSgKr7zyOleuXEHXdRkMi/Rb7YcQF2HnYmyUsLFxl83Ne0ynY4EnSDMUOTZMvBhFValXa8IPpqkEQUwUJ4IPJ13Xhm6Q55ncUhO8uJ2dber1Bndu3y6ZcnkuPhDn5+cZ9PtkWSYz9jQmkzFZlrGyuoqmag91pD5uTFgCGT9l4/1H6eCmqOfN+NVf/cZjTbq9Xofd3R0qFZckSbh16ya6btBsthgOR/R6XTp7O/i+z2QylksLBnGckOdZuXQwm80k+T0ly9LSJ1YUXpomQKRhGJKmGaZpsbZ2hG63U8b7iEzFFMcR3qzRaESaCrREpeKytbUpOX82SRLjeX4Zcl6pVB7y3h0WV18+Pe3zcrAbliQJ3W6H2cwjjEJUVWU2m9JuCzzDj370DlmW43k+b775r9nd3aHX6zCdzhgMBrz//o/51rf+Y371V0WG4okTJ9jc3KXZbLK6ula+R95883uPHQV+5zt/5SPHgR+FxPky6rDYego9yuuUpCm3bq1z9eoV3IpLs9Fk/dY6WZaxuCi8HE6lwtzcHNPJFF3TWF1dpdVqsb21JVapTbPsLhWMroMbgyhQq9YJo5AkFtEapmkST/fXs5/Wc3XI5Xq2tLW1yfe//6csLi5KmOkWigJJEhNFwmdz5sxZGo0m9XqdVqvBcDgkikK57n9Qxf8rZUcEBMKgYMA5joOmi+1XkW4QksiTfpIkKNI0L5pZCpqmkaapxBOM8TwPz/cYDgdyA3IfcJrnwmA/mYxZWlqhXm/S7/dK/ERnb49Wq/XQyONJxoRfxIn/cZuiB7W1tcnt27d5660/QddNZrMpaZrS6/Uki0vkpvZ6vXJ0G8cJlmVjGDpJkmIYOUEQlGPgSkVsl4oYHUGVV1XBTRMjRYMsy8oCyT1QqBZbi2EYEUVduYkovHzb25ssLa1QKY+rQqPRKF9jh3o+VVys3Lp1kzt37uC6LsePH0fXNPb29gCFY8eO4bpVbt1aZ3t7m3PnzjEcDonjmH6/j+MI+PZsNuXf/bs/5jd+4y/xrW/9R/ztv/2bdDqTh+7z5xkFfhQS58uow2LrKfSg18n3fDY27hGEIa1WGwUYjobYtk2WpgwHfRYXl5mfX8B2bJK4iDMRm4Zz8/MMh31UFTY2N4mjkE6ny/LyEjmUXTTHrhAEPkEQSGaJSRCEaJqK7/vCb3HouXqudfHij1lYWEBRVBzHodVq0uv18DyPWq3G8eMnSJKYo0eP8Ju/+Tf57nf/KdevX5PZdvubaFB4tnTZacokcNQpu1RJkpAaKUomTNS+72OYBqZp4AcBSE8XIA3XCmEY0mw2WVpeZntrC8hpNVukacZkOsUyRXbadDpF0zTGMhe00WiWxUWWZeK+jEePPFaWD/hQfg4+13g8Zn39Dr43E0WJOChPvAX5NOvmW1ub/PEf/1veeuvfk+fQ6fTI84zhcCDHfhqO4zKdTpjNZoRhKCO7VFkoReVzFkXi78VxEkBaU3YdZqRpRppmZbaqGCWLYmtzc4M8pxwRzs3NE4Yhe3s7RFEkgsebLWq1Gpub9+h09nAcR44wY5aXV/AOg+2fe9VqNWy7wqlTp0uDvG4YHDt2XJ5rxFgvjmOOHz8uMxC3iOMY160SRSFxHOG6Lt3uHpcv/4zvfOc/e+z9fVQ6xpPoSS50viw6LLaeQg9G83Q6e5CLzS1D14u1HwCarTZpmrK6JozuURjSas+xvLxSju9qtRonT77AlctXmc2mslgSZO8wDDh1+gwmsLq2xk9+8oG8Go3KeIy59hw3b9zAsi1UReXVCxe+gKNyqM9DvV6H8+e/wsWL76HrGqqq0Wq1yfOcl156uYxzGQ5HvPba6ywtLUuP0AbValWOlBKiKBKF/tw8vu/JAj4lCMJy1Kgoyn7QtBw1xnGEbhgAJRZCURQMOUoMoxDXrTLoD4jjhPF4TKVSwTAEMX46m6LrOuS5/FCOSNKEW7fXqdca2LZFrVYny1IajQbbO9usr9+4rwD6NMaEk8mEu3fXURQRkbVx7x6KAmtHjpLE8cdyuT5u3bwoxG7evM69e/fY3d0iTTMWF5fZ2LgDQJblshOlYFkGuq4QBFlpcDcMnTzXJY1bdASLuJ2CtxeGAWG4j30QBZqAlqYSzaHrOpr0ik6nE9rtOWazGYqi0unsUq83aTRapKngrhUdhmazzXg8YjAYsLi4xPz8Qun9OtTzr0cZ5YvtwWKzdjgccufO7RJtcuvWurywU+l0OmiaQBwFQcC/+Bf/D//sn/mYZoVTp87cd3Hy2mtf4x//49/m+vVrTKcTqtUaZ86c5e/+3f/2c/+9P2sdFltPoQe9TkmScuToUYbDIUmSoBsGum5gGiaB75esmoPB0A+O7+7dXRdXDLZDlmdMpxNCucG4tbnJ6TNnaLfbNOp1ur2u9G40qNcbTCZjojjihfYJdF3ng0uXuHvnDq12+5AI/5xpbm4B3/d4/fWvc+nSRT744AN8f4ZtO3Q6exiSYVVEwayurvHCCy/gebPyddDtduh09qhUKpw8eZrLlz8sr1aDICg7W3mWEUYhCkq50agoComEZeqGgQKkckRlWTaWKUzre3u7JesrCEKCICgJ4wJHEeN5Hq7rEoQBURgxHA2oZ3XJe0oYDoccP/6CNIVvc2v9Jq9e+Op9Rdcn1fbOtnhfotHb6pa5hcPBkNW1tfJ7Hncf+yb3K4zHI+r1BouLS1y8+GOActvwzp3b3Lt3j+l0wmgkTkzTqbiCt22rZAwZ8jPDMHQ0XRPIGE0UWgUd/mDBpaoKYRjd58ErvqZpOnmeUGAeBEVeeEMLEGrRERMdyx3ZKbXvu71arSYje6rCS3q4YfgLpUdhIx7sNp06JfIN9/Z2gRzP86hUKlSrNaIoYDAYiPNWo8GdO3epVm2m0z0cp8Lu7javvfY6W1tb/PjH7/KDH7xFpVLBcSokScKNGzfY3d15ZjpWT6rDYuspdbBYKrAMhf8KICfHtm0cx6Hiuo81oBfm9/X1G0wnU9xqlel0iq7pWLYgzu91dllYXBSMG1WlXm+wtCgM8f1ej9ytYdkiOuPu3Tt4vsd4MmY2m9HrdvnKy68cFlzPiQozaL3e4JVXLnDp0vv0+93SIG/bNqdPn+HUqTPlz8zPL3DhwmtyhXrC6uoaCwuLhGHA3NyczMIzCAK/3EwDUFQV8pxURr1okskEsuiSUS+6rqNKTlO7PU8UhezsbpNnGaZlowBZnpFnGWmaYhoGVbdKlokiwq1UMfRQLJF44gq5GJfduXObdntOXh37fHDpfapu9ef2Y/nejHa7SRilhGGIZYluzcH4IG82LXle7ZtVbmzfLq/Gb968zp07t3HdqgQ2Bly58rNyi7Jebwj/piugkNPptCxkh8MhQeDTas3RarWIJUYjDEMcxyVLM0l7j8tjJJ+Rcqzo+/upE/mDVjzEWLJ4LrMsR9cV6ZfTGY1EWLAYVYpFiUajwWw2w7ZtwjBgNBoRhiHVahVN00qW1me9aHCoL1YHyfHFEkaj0cQwTOkTvt94/tprX2N3d5tz514U3EfP48MPP2AwGFCvN1BVlU5nj8lkzNGjx/nqV1/FdTX29nZZXFziu9/9p/zar32DmzdvUqs1MAydU6dOU63W6fd7fO97v8trr73+BR6RT1+HxdbPoWKsaFkWyysrdDsdZt6MY8eOc+LEyccWOgfN7/V6ncl4ys7ONlW3WhqNbdsRgLfJBF3TsGX3QJUnQpFHlxL4Pj/96U/wAx/XrZYjnsFgwO1b67zy6lc/56NyqM9CB82gb7/9NufOvUgUhRIf4jAY9Nna2uQ3f/O/Ln/m1Ve/yjvv/BlvvPFL2LZDt7vHlSs/I4rUMuh1YWFRbjZKJISqkZOLgitNUeXmoqqqZHle0uWL11m1Kk7A4/GIWq0mIjfyvIznEJwnBUWyvGbeDLfiyq8JwKppWiUssdvdI05iWWSJ0aRti0zHj+o4PWkmolNxpfdJw7IERsXzhN9pa3MTtyo2BX/4w++T5zkvT8+xtbXB7u423/72dxgOh9JnJTpijlPB932Gw2Fp9i2YVAUqIYpCDMOUG4QJ3W6XpaUl0ZmOQlqtOeI4Is8z8pwSoQGU3caDxTA8qtBCQmh54PuyEmBa+DsNOQ4uAqwFYythZ2cbx3Fot4UFolqtcfLkqcMi6znXo8jxBT4kjiM0TX8Iu3Dw8+jGjaskScrx4yeJogjPm7G7u02rNYfjuIzHIy5duoSuW4Iz2WphGAa1Wp3BYMD8/DxxHLOzs8Pp03WazSYbG/e+uAPyGemw2Po5dHCsGMcx8/PzzDEPeV7iIB5VcB1ESMzPzTHoDxiOBviBL6nzEdVqjdW1NfIs49ULr+FUKkwmwkQbhAFZlkkfjCH8NLrObDalXmugGwY2sLOzyyuvfs4H5VCfmQozaHFSHwwGrK/fZDQa0mjUqdfr9/mGBoMeUSS2V3u9LltbGzQawmvk+z7TqcjcFJ4uESWlqAqqRAnkWY6qib9n0jMkkJmgazqqJsjwo9GQNEuFyT1NUVVhvA98H0VVURSVilPh+PEXuHv3TmmgLflQiO26NBUdszRKy4ghEIb9SsW9j7t1sLhCURgOBqRpSpqmaJpGr9vl5ZdfeaTJvvBsWZbNnTu30TSNhQURjt3p7JV+E9t2yLKMa9eucvbsOS5e/DHNZoPRaITve9i2U/LGms1GafYtaPKWZbG9vSUyT6t1FEXE7+Q5RFHI8vIqvV6X3d1tEcnVbOK6FeI4IUkikmS/m/gkelQBJrpblFDTOI5lcVXkZwacOnWa6XRKlqVEUYymBaytrVGpuIcZh78AehQ53jRNhsMhzWbjsT9XfB699967TCYTNjbu4rpVtre3yk6v67oMh4MyGP348RP0eh0Mw6LX69FqtZnNZlSr1ZKZNRwOWVlZ/ex/8c9ZSv4gRfNLpF5v+oi19Y+WOvG59bvvfUaP6PHa2dnig0uXyPIMt+LiVl1URX1kuPMHly5ScQUzx7IMhoMxV65eZjQa0mw0aTZbLC0tE8Uh08mUZrNJEAZ09vbQdB1D19mUkMGqW+VX/+q3aDRqqIqKaVlUKhVxEsuyTzz3rh6bIzc+v1pcSxJ2v/f2p3ujukamfnbc3krFxPPEhph6Zgk/fzSx/ZPKOTJP9ojnYGPjHkmS3BeBUxTc7fac3DzLZcj0lDAMJSrALfEAeZbRH/Tl+n9IFIX8ha99gz/+P/60NGoXVHKRSM19o8TC92PKMSYg/F37VAmiMOSdd9+RfDgLy7ZIk5QoijBNU37AG9K071Ctis5st9vFcRxs26ZebxDHEXPz89Rqdc6eOXvflbhhmty8cZ1ut8Nf/bv/OXbNEeb+NMGtuLTa7YeOX56nTCbTMlNSlcWMqgl4aEFHV1BYObvM3a27MtPUxbJsfN8TqIY4LjEZjiPwLsWxF3E9szITMs8yXLeKYRrifrOsvODqdbukacp/+u1vMO3+TAJi04e6WU8qBUWGLoHve7zzzp+jqkpJjS9CyJMkIQxDFhdF4X7kyJGSARbHESsrq2RZxoULT94dN/Q6app9/Dc+ze+j14gT8RzZtkEQxB/zE59cvUHKm9/9s0/1NnNFI84/P374udfWULUnK9AB+v2+WF6RStNUXhTk1Ot1jp1ZotvbZW3t6CNjmH52+aeMhsOSkxfHMYqqATkVp8J0JraR0zRjYWFBBt/L+1NgNBIpFLZtY9k2URjy4vmXmDsQ1fN5y6lYGNbjI8YeJVVVmJurPvbrh52tT0GTyZgPLl1CUVWqtkuSCF7O3NzcI0GjDyIknIrDyZOn6HY6HD16FMM0GY9HbG5ssnbkCIqq0uv1hNHYduj1u8SxyEubzaa0mg0u/e9vomkqmqZRq9bJ85xavUa0tPyJfqfmuVVy6/N7eSy8fJTx1a1P9Tbr51bB/Hw+5Pw85f/87e9+qrdZPbNGahoP/fvBYmM/IiXg9Omz7OxsM5mITpauC/P1eDxiZ2eb5eUVfN+TV5OiCBuPx0ynU5Ik5n/6H1q89dafldl54mRfeIdEIHXRZFEUpSz2Ymmcz/P7T7J/4Zu/Spok4idVhTAQXqE0TQjCrMzuazSapYG+8AhNJuMST1FvzKMqSkmCP0iS932P3d1dEc6sZvzW//JdUVRkKVmacerUKR5UlqcMBkN6vR6WaWIfGK31ul2m02m5bfnSr59n/d66CIRuNFCAnd0ddE0vO0EocPTIURqNJn7gEQQC3xAGATu7Ozi2TavdFhiFOMaX3TDHqTDo9+l098iyjNWlNneufv9AsfukRYvyUNZh8Wo9VPYAACAASURBVJx94y98vSyOsywrL8TG41EZPJ2mCa5bYTgckmV5+XqaTiecPv10XC01zcgu/+lT/czH/nZmizSW3daKSepFH/MTn1yZ/QJZ99MdYanzR/k8w1pUTeH/+u3ff+LvF6w3AR0G8fmSJAJaXKvVeOn1F9jr7qAbBmcfwVn74IP3uX5dJJiIrE6xlFGr1zF0A8/z0HQVXRMZwIqqcPfuXVRVYW3tCP1ej16vS73RYHFhkbPnXmT7VvKpHY9Pov/ib37rqYutj9NhsfUpaGdnmyzPqNoVUChX5GfTGfoj4lIKr5cf+NKUOkZVVE6fPk2aZXizGb1eH9MyZcTBTFw91xtosnsBCv1+D9M00eVJqfBszLwpjbrokB3q+VOBQNjZ2WY2m1I5gEBYX78hFi0kfTyKQiaTEVEU0ensomk6YbiNokAYRjJnT2wjqnLkJ/hMeUkZ348AEvcvxlqK3IDTyvt5pBSRt5ilKWmWk2epLNtA0zWiOCq9TIL3ZdNotDhy5KiMn8qZTqYoCvz4x+9h2yIGa2l5mdRP2d7aklmEJmmaMhqPBfJAVdH0h997k+mUbmdX8KjSlDCKSGS3B8APfNHBkyyxOI7Y2LiHoqrMzc8znUwwTZOdnR3SJEFVVaq1Guvr61RrVRr1Br7v4wc+y0vLnDsrgsJ3d3aIk6REZaiaJgrdyYQ0SchkcbVfKD1pZ0IUvXmelc+VIMqLzmSOQHVomkaSRHKMuN+dECMji2q1yu7uDjs7WzSbLXRdxDkV3bnDUeLzq2qtRr/fA0R3N5JB9razj/p4VKB7McpfX19nMOhTrdao1eqMxyOmM9E1Pvfii2xtbpYZhygQBgHNRpM4iQnDgPbcHEePHSs718+rDoutT0G+5+HK9ntRaOm6wXQ2YXnl4Vy2Wq3O8soKH1y6hKopcuxYZW9vT6zEBwHd7h7t9hy2ZdPZ6zAcDrFtC3keYDyeEAQilDrPxQhHVRUc2wZ5JXuo51ePQyBUKi7b21u4rvjaYDDA84QxOssybFuMsaIoKjsoootD+XdNU0hTMYYqgo3FyV8pOz7iBK5imRYzbyoLtEePvYpNuvwArV5BZC0WWIF6vcHZs+dEt8oT3aq9vV2msyluxcUwTOr1Iog5Y3PjHoZhYhimNNr2S4q6GGvmmIbJZDqlJgupMIrY3d1B11QMSUz3PA/LtgnkWDCJE3Jy1AO1jud5NBpNtjY3UTURwE2eY5gmFaciDfYpM7nFqOu6ZHbdYGFhHt/3AXBsG90wiKOY4WBAkiTyeOwjNvYllxQQ3rmD24eKqkCOXFTQSFPRBRDFsHLgeVXLYPEsy6nXa+i6IM9PpzNWVlawbYfxeCTJ8xZRFJX+rqWlZRqNxqFv6zmXZZq023NMJxPiWOBITNPE0Pe76g8mNRzsrsdJXLL8UMRGrmVZBEHIvbt3CeVY3nbE6Hpnd4dmo8WpU6fKwj/P84eKuedNh8XWpyCnUiFJU3rdLiAozX4QoCrqY8OdJ5MJR48epVavEoYxvuezuyty0XRdF8bj4VBwupIIEOG/YlspRVHEVWkYCqq8oEMLRo9lWdi2xWw6FXE/h/qF0fLyCuvrNwkCwXmbTCYoilIa0pMkIU1TgsAvx4BlwQWSOJ6VBRLsd7IelKpq5Ym86H7tm7aEd4hc/JnlGWmW7W/XZVm5rbe7t0Mcx9i2he1U6OztCs+TN4McfN8vi8NWq4Wm6QTBjJ2dHQlCFV0dVVFIE1G02LYYM+7u7mCagg+1vb2F53nYtoWug2GYVCpiDOr7PnEiPFiarpdmf03TZZagJrtdCoNhX/5+AvUShEHJsSo6fIZhkuUZ3p0paSbyCRv1OnGSEEoURBiFZGkmb+hhb2pRZAHl48jkMdR1Hd0wyNKUOBYYhyxLH8jAFJ8RlmWXnwmVisvc3Dydzi6+75fB43EckSQxrVa79Mk1Gk263Q6TyaR8bR0WXc+nLNPEmhMeqTCK6PeFbUWV4+cHkxoOjvJBwbRsTMsmigTuJE0TVFVD0zVs1WJtdYXRaEoYhTiOg65r93VYHyzmnkcdFlufgpaXV5hNp8zNzzObTpnOpiXR/XH4hwdzFgeDAbZtC2NslNJqtel1O3KrUSEIPOI4YX5+gSAQV8r1Wp3ReESe51hyvpxmgvgtSNKfnZH0UF9O1Wo1Llz4Kpcuvc9sJrxHxesqScSYqQgjNk1LxvWISB9N08sO1X7Ha39kWJz4i/Hh/PwC/X6v7KTsa7/oMkyRz6eVHrB9o30URWWRUak4hGHI3bt3mc2mRHFEKjvFSZqipilGGBAEgSiINJ2iI6TrBpZll+MyTdepuC6aphFHEcNBnywXRHzTNMnSlCBOsB1HmNclqNXKLIIwABR0TSNIEoLAlwWq6AqKCx2VNI3RDYPZbCbebwXbSh6BtAjeznI5OvEZZjlOxSEIBM1ftKk/6tkUfjlVE7DTAq1hmgKKGieJ6FypKmmB2JBPkmmaJf0/SWLq9Trj8ZjxeEy320HXDSCnVqtRrdaoVqsMh0NZyGlUq22Gw4F8TdWJ45gbN65z+vSZw4LrOdeDnS5hcdlPVZhMJty+vY6CgmXZuG6FyXiCoioMB31s20FRVSqu8CS22m083y+hwZ43486dO0Rh+HPFbj1OT4qB+bx1WGx9AhVAUt/zcCoVlpdXSgSErmksr6x8LMG9MMnbtiiSwkgEyhaQxTRJqNUb9PpdKhVXAh89gsAvfTKra0fQdL00x2qaTsWplOORev0QaPqLqOXlFVy3ys7OtsgmnIxlxyqS3h0RcFyMrlqtBr4fkFP4tBRJK5fYB9lNMU2zDK62bUde/YpOmei6FCNHOSpUFVrNFpPJROAd8lwUTuV4LENRVdyKy2QyodfrMxwNZAG23w3TNY081/A8Txp3DVy3wvLysnwvmEBOJosmTdMkSFQgKrrSCJ8U3S9ZFxad4ixNsfIct+ISJwm+75WdNBDFTq/XLZcK4jgShUwqcBeP7kplKLqOoiL9WAA5eSayCyP5XCiZ+B0fLwXTMAWjbDaTneq87FjHcUKapGR5hpLvV24Ho30MQ5fPtShOk0SMHZMkYToVqIparcY3v/kfSAyARbfbEb9HntNut8v7Oxwp/mLIMk2o1ZhOJiRpQn+nV37txo1rwousKKRpQp6JreTxaCjPQyq6YTI3N8doNMKbedgHzOa6pnPs2DF0w/jEsVuP033MMLdKHEUfG8H1eemw2HpKHQSSVlyXOIq4eeM6p06f4cyZc098OyUQNTTIcwVNVQl8n6PH5Mhja4vZdEq1WqPiuEBebhlmWVrGp6RpimVa6LqOY1fQii2pOMKtPn4N9VC/GJqfnxejut2dMidP1zUqlYpYpphNSdMMx3GwTEvGxWhloVFE7xTbSnmeU6vW0A2DwaAvoaVQdLNEl0v6h+QIEHKqbpU8R4zg8mI0KQqcRqPJeDwkCAI0VSUpjd7SpJ4kKEoqPtgRhv40TcmylPmFhfuisbIsK9fKRfB7hKYKj1bsiYQFRVVLn2OBbkiTRGSz1Wp4nrdfaKkqpmGSyGJHROIIv1maJORFoSRNVQe7fOWGlxz753lOGEWkMkaHXHzPIwFZUoqqkGUZhqmXtz0cDtGk0V5E+eSoiloyyxSleJ51DNPAcSrlur1pOgRBQBzHNJtNqtUqv/zLv1LeX1GkC1N8nXa7jeM4gOiWzWazxzzSQz1PKkaJuqYf8CBeKxsCC4uLbG9tifdPxUELNXzPpNmysEyLRrOBaVrU68LzN6/NsR9dF3xmxc/9403KPz8KiPx56bDYekoVm4fdbo8wCrFMC7daeSTi4aNUAFG3tu5y984mcRySyaiSer3O3Pw83W5H+CeiiLrcROx2OyRJwtmzZ5lOpqSJOGG0W3NiZJCK0UKj0Tj0a/2C6uDV3dzcPIZhsLe3g2lauG4V0zTxfR9VVXGcSmmet2yRUCA6X1b5QRtFkYzbMalUXEzDKDP2BG2aElOQ54I3k+e5GH/pelmkBUEg4n3YHy8maSKgh3KbTtN11CwjzXKyA+iDopBSEGMI13WZzTy2Njc5efIUc3Pz2Lbo1vm+V7LExOPS8TyPwPdRNQ0FhThN5MKAYGTFcYwniylN07BMU3DEZAEaRSGqpmI7NrohusnebIaiZGUXUMQT5WXxlEoD/EH0QhHencTivfrwFHF/FCg4fFZ5G1malYb3PMtkESoikQoemorYwlQVhSiKyLO8pNkX7C5XjlhXV9cYj8f33fvBxQuRe7n/GVLwxw71/Eskl+jlolVRtGxsbHDi5ElMRWFldZXBYMBkMsabiWzEMAqF11Ia5bMso9Fosriw8Kl3sR4l35tRce9vMjxqk/KL0GGx9ZQa9HsMR2NMw8C2bJIkptvtkcRP7o/a2dni2tWrDAZ90jRhZWWNhcUTjMcjup0O0+kUcvEh6TgOtVoNPwgIQ7EyK04GFs2jLc6/9BKO42CaBrZjk0lvziH24RdXO/LqrjhRNhpNVlfXGI1G1Ot1qtUqOzs7hGFApVKh0WhISKqB6wqafJqmTIOp9CgpGIZBkiaYlkWSpni+Vy5mHNxmFFJk9I8qEQ86nu8RRzGaJsznURjiVqvkmTCYF10hBWG8T7PsoNf+Ps1mIm/QcQSPq8gbPJ6L9fEo2g/AdhwBOZ1NJ6iajq4bomuWiu6U583KEWnFdQnDsIwmKjo6eZ7jBz6KohD4fsn3UlQFJVdRYZ+u/0CXKs8yUNXSX4UCcRQL6Gieo0om2EEVnUIxbhUdwMD3sWybTI5wkyQut0L9IJBwVpUsF0iLDPm8qIqM/nJlFqPodBWj1iJu6UEtL69w48Z1gAMst8Mw6l8UiWWR+zlThmmCkpeMyMLgPpVokCQRnwuqqsr4nW0ajSZvvPF1Tp16AW+2j4f5rHxVTsW9j2EJXx7z/WGx9ZQqgIUl4sEwiJOEIHgMZ+gB7exs8e4772A7Dsir/Nt3bqEbBo7tyLX2DdrtFoqisLW9hd7ROHniFPNzc4RhyPLKCpPJBF9erR/JTjAei40htyqo2U/S1QrDkNl0WpKw3Wr1sBv2HMjzZqiqytZWlzAMyg6X7/tlh2hubo4kiVlYWKTdnmN5eYVmo0XVdfG8mfQ87WcggtiCnUzGZZdGMJ4MOcpSZL6iMNrXazUZZxMQye5XlmVouYgEyiU8s+pWiZO4jAbKs7z0hRVSFUV0jORj0A2DNEuZTseYpsVsNmM8HvPL6S8TRxFZJvyLeZbLkOcKSizYUyJOaH9EWJDyiyLKtm0WF5fY2tyQ5nLh4VIUBV3TSx6YoioYurHfdSo2MhXlvq1BKIK8Bcw1SVM0VS0LyQLbIFRgNbTyGIiiSnrnJEcvU0WHStd1Ye7X9sOnC5O8uH+R3SjAsQ12d3fx/UTmNFr4vs8rj8nzEiy3M5LldhhG/YsmQxebrlme4Xset27dRFM1mo3mfaHtnb09wZbUxRa8U7EZDUekWcbqygLVapXJZMJ7772HppklmPjDD3+C73sfG6/1tFpZXuHGjWvl4/u0zfc/jw6LraeUbdsEYUAis8UEKyfDtu2P/2Hg2tWr2I6D4wi+jeM4kCvcvXOHeqMuYhLIGY1G5MDc3BzT6ZQbN69z+tRpcuBHP3oXt+JSrVXpdrqcD78qo04UkuTJIj7CMGTQ76PrmhjppGm5OXJYcD3bUhSFe/fuCR+WJdg2nU6HtbUjtFptPG9GGIaMRiO2t7e4e/cuinKRV0+fLlERxWtbjMBUWUgp0iuVScaTIrtCBlEUl12wSsVh5s0EUTrwZQdHjCNy2akxLQvDEKwrtyJieqazCbq+P5qE/b1G0ewRFydinKiUgdhhGBCGYnvR8z0x/jItAU0NQ2GEz3IyMkzblEsAWQlvjOMYVVHkeFJktNmOw6DfLxcAbMkTEtucKUqukCgq1WqNMBAjOjJxEWYaJlmWloHShmkSys6YglK0rsrCDPaXEIoOoWEYEmmRlEciigSEVtM1dBm9U4woi+6YIgvgwiBPnrO6usZg0CcMQ3zfwzAMqtUq586deyyaBh7PcjvU869qrcbe3i6B75Plq2Un1HEcjh47zmQywZtNSdKEI0eOCn6dLkzzCwuLBGHA/MICd+7clrBTl8nE48aNa8RxzGDQLyO5kiRhMOhz69ZNXn31yaOhHqUC+Ly9s/25jC2fRofF1lOq1W6XK9+B7BrMNxpP/GROphPqdRHuKcJ3UwzToNfrMjc3Ryx9HoZpoSB8EstLywyGA3b39oiiSGaXxezuCs5QmqZ0e12qMnvtSfhas+m05HIB5Z+HbK5nU5PJhJ2dbTxvxt7enuw2ORRsAUURFwpnzgjy/Dvv/Dmapsn8xFl5Ig/CgDAMsSzrQLGll4yuSqVCmmYlY0pRVMhzdMegVqsxm82YzqbiIoT9sdpB7IMqPUcV2XUpNhuLLpFpWoJBJUdzha+pGDNmqcA9FP4y4RHLZDEkbiOKI0zDFNuJqvCM5VlOmmVkUUgc7xeH3mxaFj61Wh1P/g5ZnknAo0UYBftAVtntKwpQy7KI4xB0EW6tyN83lxR33/P2oaWKAkleGupLQ78cx9qO2FKOoqjMN1RQ9hcGpGE+zuLysRS3o6oqlmljWWbZIUuSBNsWnc1qtVaiG4rXy+7uLhW5Uf1lOCEd6udXHIu4uDiJMXSDaq0mtgufQpZpiq61jOLSNYOjRxbRNI3JZFKS3q9dv8ZkMmY28xj0B1i2jW1bOHaFbqeDW3ExZRRXMdq7ceMGc/Pz902HbGBnZ5dXH91ofSp9WS8SDoutp1TB1JqfmzvQpgw/8grxoGrVWnmFUK1WGY2GxJG4eh0M+sxmE/IcMVIExpMxQRCUbC3bFlcDWZoxmU6kX0OEf06m+wDL9txHh3jGcYzxQO6eqmmCjn2oZ0oHDfGuWyVNtyRZXIybTNPiyJGjZFnGZDLh7bd/yHQ6JQwDokiMkBUF2dLXgUh6l0SYbFFo5bkYy7muS71WZzKZoGqCYB6GAb1+rwSVyuTqhx5rESGTSWCnpmk4jiMKOacix5LyvqJQcOsLRleWYzsOYRiQ5RkaKmmWkSRZebFQFIh5npcFF/J+XLdadvWg2IiUnTM5ThyPRyLuR9MIQ+H98vwZqozAAQVNVdB1UYSlaUoSRyIgXnpcsiwrQauFqf/AAQBAVVRyRSwW5FmGponbD4OgJOGXPyKbYWL8qaDKSKU0TciSWEQz6YYsGEXx51ZrZGmCpmuMRqOyA7a+fpMig7LRaOC6LlEUHTK0nhNNJhPGY7HwYhiCKdfv92i355664AKoN8TGasHIyvOcfq/LtevX8OV7aWNjA8sS6QOB7zOdTjnxQo3ReMTx48fvu70kTURgdZ7J8HkX0xQ4E5THb+U+Dzostp5SxRbhzs423myGU6lw5OixJ95EPHLkCG//+dsiWsepYBoiPkVVFdIsY2V5jZ3dbfqDniRXi82iOBbgySBQ5CjAlBtefnmCMXSDOImZTadld+JxMiR9ujhJgegYFIG8h3p29KAh3nWrBEGAaVqsyQ9JUQSJ9e3xeCzWsONEAnDT0p9EnmMYOkEQoOt6GUwMlHDUMAwZ52OSNMGfjO/DPxSesCKb71HKgeXlVcHB0rUy9DbLs/JxVKtVVE+MCHVdL3Ma0zQRRvYgIMt5qJgpCeqSPxHloewIqdSqNUzTLAvCgxDQoghK4qRkbGVpKkaXeU4sAcH6gRisNEtJE2H6ty2R74j0S6VZKszxsrgs70cpjlEqR477MNY8F5uFDwVQ5zk5whemGxq2ZZcjRk0zJMkfkiQmSRRmnicLSgXLtFhaWir5WaZpcvfuHcJQmOOLzlzxOjostp5tbW9vc/a1lXKLsPhzOpmUhPhCYRQJcOljOmCFb+ugxuMRw+GQWq1Oxa3S6/UkDkJ0r6IoxlHF+erYsWP3ZQP7vsfGvXu4brXEQPR7IfWGmM6srR35rA7Ll0KHxdYnUK1WfyrMQ6HJRBCcT7xwgr29PeENsSxeOH4CXde5c+c2O7s7pOn++vrK8grVao3haIjYKs/Kq9o4TgR7KM/FG6OI8tD0jx0HutUqg76IHVE1rdxibLUbn/i4HOqLUeE1KtRqtdja2sTzRBhsJE2iBYLB9wMiOaYTJ2xNdrEgCANM0yy7TfvGd6Xc1Ivj+L5YGKD0J+3ro4OUVVWh2WwRRWF5u57vlV+P4hhNE54o8bgzskxs4s3Pz7O1tUGSpgRBSiyLxKK4K8d9OfujzDRlNB6VQM/8wPcXRVeeZeRaXn4tz4U5X/5A+Yem6+I/VSPOImzbKIOwg8AvY4lct8rMm+1nQsoNzeLYtZptsjxjMh6XI8PHFagFTZ5cmJEL3pUiu2OaZgDCXpDlGZpTKQvYDy/9hIWFhfLzoEBeDAZ9KhVRjB8ytJ4P+f6s9AEWUrX7fZBwP0frcR2wIqC6WNaIo4hup0OtVmNza5PhcMhoOEDTNTzfZ2F+Xmwsyq704uISO9tbAFimVprpT5w8RWdvl1CO86fTKasrq5w8cerzOUhfkA6Lrc9RogNhUavXWVxawvd9BoMe6+s3SSWNWtNEuKyqahK4WMGpVKhVa4JfAlTdKp4/k50BXYxKEABES7dEh+tjUBSWZdFqt8U2ohwltdqHbK5nUZWKGAUVz53jVJifX2AymTCbTalIk+jPfvYhnU6Hsuski4okSRHRf4rsdGXMz8+jqgKNUPgEFUWM/+I4JooigVU4APAUKkKTHz8SUBVFYE56HTHu0HXCMCKOotI7lcrMP8uyhPk7V9ANsaUntmctwlB06BRETM7Dd7nvZQIIg0CUNA/iGeRxKLYsy2JLHqdia1EcLxE9ZBqmWIyReIhis6oY36rSJ6ZpGvnBcaWiYBoGjUaLilthc3NTFJJpVt7HgxmTB38f0ZEU7+2DW4+F2R9kJiWKHO+KLt50OqXRaAKUfrwixxEOGVrPixzHfehCKEvT+0Kl4WGO1qM6YEVsj6qopdncdmz6/T6z2axcmImiUHg1J2NUVRUxWJrOB5fe5/TpM6RZxnQ2K830lYqLY9sMBgMRLE/Oyy8Ls1Yxnvwyxex8Wjostj5HHcxD9H2f7a0tNE2RlG3x4WkYltzoUsWVfa3G6uoq08mYVPpA8jzDrVSpVoXR1TBMXLdaBtEapvFE40DLsg6Lq+dAywfWnQsmkqIofO1rbwCiyF9fv8H29ha+L9hapmkymUzQ0ETMjiJef25FAC9FgLHFYNCXGIj9Iqg4qRew06JAKUaJQo8vttIsYzwZk2eZ9AlG5XcXfieBPxCeM63cOsxpt+cZDofESSRZXAeCrxVpJi+6RFCax8W/UxZmj1KWZSL8WUJZRbROTpaKAqvwgsXJ/8/em8VIdp5nms/Zl4gTe2RmZGbtrCItkiKL1EIJlmXJtoYYwdAAA2MAe4AZtK88HjSmr8YY9Fy4BzB80XMzQM/tXDS64csxZGFkW2pLtmTJtqRSca+dVZWZkVusJyLOfs5c/CdORdbCoqQiiyzGCxAkq05GRmXFifj+73u/542IJsI4bNulYnSYZcKAn+XPZR5jtAhonXvWKtUKs+kMWQJJVkhyBtcdLRZcwhg/H8kkSYJt20wmwt+p5OiHNLtTHCqKiE8K/ABVFVDXuer1Brdu3Syo+0uG1pOjTqdTeDWLiUUS06geHSHej6N1vw6YoetUqhVaq+cB6O5s43kemq7jeTPxPjIRgeoSItFg7I4p2WKrt9fr8ZWv/hZnzpxEUfSCR2nZookQBkFhlP+oxuw8Ki2LrQ9R8zxE3TAYDAZomsbYHaHreu7JEqfReUisLMtMp2IUJMyEsXhzh4Jcn8QiwiSMguIE7rouSlV+qG9rqSdD83VnwUS608kCjhjnFUURkTTlMmmaFuT4OSbAcSpYti06QVlGv99HVTUkKShOsdnCB/ri/9/pZi0UWQ+YJErkdHXyjph0d5A1d7b38uIkysd/k4lLmom8xCTHnCiKQhrHYsz+gCIvm0Mn3qvjlnsko3wDK0OMO+d+SkFvlwsAa5plBL5XdLFEUZcJjlb+89I0TRDr46iI/pHzbNPRaEjGnU3NO099YQdTEoZ4XdcxLavwkSVpmr9PHP0zKYqSYzYkkARyI46TYgys6zqyLFOvN3IK/5Kh9STJcRwqlUo+7g/RVI1G9V5z/NyPpSx4EO/XAbtbpikQKIqqksTCQ6kqKmES3OmuZuLzSNdFwfWTn/wL7XbjPRlYd8fsJGnCYDDgRz/+ISdPnn4iulzLYutDlOM4vHbxImmWMhwOBVtoMs4/0KRilGiaJpqq5rlkNrPplFarJUjxhs50MmU6m+B5Mz79wgustFfYchxGoxG6puM4DrIsLblZnyDdb935ypXLd5Hk60wmU+JYvMbmH8BZJiI15qbwkm2LbmuOaZgb5bNsDgSVii7P/IN+3onK8jGYnHdiVEX4hu4ebWSL/36PAojcTzX/J4pC4jghYF4MCXO5tGDklefPrfhmGZIs5/T6BYbXoh9LOhqps5hxKOcFTBwLjySZCLw2dIM0SwnCAHmBmXVnyzETXjlVxTRMqrUahmEUiIn5tXMoqrRQnEqSYJIJLpcY34ZBiKLIaHmEkuM4+EFQRPgsdshFjiQ5Ly3kM5/5XD5WFsXVowBILvXRlKZpNB+yjT73Y4F4fQeBz2w2wzRNer3eA3ER9UaTxmBQ8CDn6JIsy0T8VL6MIiERRQI7MptO2dne5vjx0w9kYF2/frWI2fG8Gd2dHdT8oDLPZfy4d7meuGJLtnROfePlx/007pE3m5FsO3z1K+cYu2P2dncLAGSaZoU5WNcF3TlNElZX1zh16jRW7qXo93tcu3Y173SZWKaFJElUjrXpvHiGtSwtjM5AHlgtF1yvX0SSprzHIOjRK0lTNv6733ikj2kfa5GpysMv/CVlmBqBL9ri+9Mx5bMbj/YbSkiQ+gAAIABJREFU/IrP/X7G+fF4xGg0ZGVlBZAYj8fMZlN0XWc8c/m9//W/gQyGo2FuGhcjsEWy+3zMRgZxEiEho6h3/E5z39GnX3iW9udqhcfo7oLr/UkEZy9S5edeJXL+1Fwnnj3GM6+cu+NdWiiYBM5BFR6RhcdZ7ArNPzTmhY8sy0y9qQjDjmIxCswLMzHezGGiWSbicWCh25SSZhlpJrrQlUqV2WyGIiu0223CIECSJciZpYoss71zyImnv5R7MbXCMiCCwe/4s2xbYGFURSNOouLvRqA7ZPH+kXvVKu2zPF86xcaZp36Jn/0vLin0kPRHGxWWZfLDL3pEsrSMr/+r33ykjylXV4g+xI/aIAw498LDN/ui6BjezCPI463mkOI5W69er6NpGqp2532os9ahd3hAmqXYJZvuThfPmwpvpZcUo/M0icmCjFJZ2BKm+Rj7QQysecxOkiZcu3ZNjBdVlUql8pEKk/5V9MQVW7GqgGM97qdxj77z99/B82Y4ToWf/OSf6fUOeffdGxiGRpLAdDplOOxTq9WRJJlXX32VyvF1vvOTf6TXO6DZbDMY9DBNi4ODff75n/+Jfr9PuVziT/+XP+Ht65cJAuG9uHNgFxtMr3zhi7/wi/TDJp7039p+5I+5eWqNuPzBvRaqbQf3QMQkpeGMRP9oYTPuNs7bts36+nphkM4yiVOnTrGyskq3u8PffO/7JEnM1tZtRqMR9Xqd6XSG74vQ6fF4TBAIpISqKlhWiXG+4SdGYaL4yTIxlvzTf/cn/O//x/8meFwLW3i/iASawMwhpOKkbNul4lS+qH/3p3/G3/zdXxeZgvPnmSQxkiQz59HNvU1S7oWae8KybL4kIIpDwR+T8w8QiSxZvC/u0OxlWcE0TVRNK4zyZFCt1VAUFdsSeIc40ZEVOWcNuSRxQrTwvf7sz/7vfGFAo5zz+FRVKcZ/c4+aYZp01joEYYA38zBMg3qtjuuOieKYUydPU6lUCKOQ//FfldjY3GQy++AOHYsqI5FEH15x9KhluTd51O8YyskOEz685YN0kKCbD38v0k2NkmNz8bWfs729hWVaqKqI3/J8j42NTV64i+juOA7PPfdprt+4xt7eLvV6nSxL0XQB0h2PR2Q540tRFCauS7ns0O12i7ie+30WddY6vPHG63nSgV8sefmBj+fNME3rIxEm/avoiSu2Pqrq9Q5ot1cBwSpptdoYhsnW1rs0Gg1se0K73eT3fu/3OX/+JQC+/e1vUalUabdXmU4n/MM/fJ+TJ0/zwx/+A+WyQ6vVYjKZ8O7NG9y8ebMYRXr+DF03aDZa6LrGtauXOfMxb8Eu9YvrQcb5V165t/gulcrs7nbZ3r6NYZg89dQK/X6/gF6maUapVGJlZYVer0eaJkynLoqi5AVNhufNgAzDMAGJ6XRGFMXFeO79Flx3XxflXhBZlmk0mmSZKE7ut3ErCU5FDkcNyVBF0RkESJKMYZj5BhTFB0IUR7knS84Lx1RYnpKENI1EnqKiIMkyWZLkW4kJYbBAhQd8byaCtHM/12w6o+yUGY5GVKtVWs0WBwcHeJ6HoqhYtk2WpcSxWDJQFEWERlu28MUoCo1ms+CQ7e/t5UsMNqZlMRwNURRFjBdVlVOnnyIKA9yJi6Iq2JbNxsYm6+uPuOO61Mdad4dAb92+jWVbR4juchhw+dIlfM/D931M06TeaBbF0mIR1t3t8trFn3PYOyRNE6Io5z7mgOI0S9lYX3/PcaDjONglG8+biWUOiXwjWmYwGNBqKh+JMOlfRcti60NSs9lmOp3gOBUqlSq+76NpGi+99BKf+tSL3Lp1kytXLvF3f/df+N73vgtInDv3dOHtcJwK7fYK3/72t1BVAZ103TGlUokszRiNR1ScCmEUIcsix2ow6PPcc8+jKAq73Y93C3apX1wPMs7f73Uwb+/PR4+SJGGaJru7u0DGaDTIx9GSAHKqWmGudV0XwzAK8KjgcCV5Ryk3sKd3mFZAUYCJX5OL/59v1CqKmmcySgXxHSi6uaZp3VNsFWPDOb4BsZ3ozcTho1qtMnZHhJEwuc9jr1RVQVU1/EDQ22VJEgbgBQK8lP+576ssYzqdoChqjscQG4lhFOCOE2r1BoEfEIURuqGTznMZkTBzK0CYYy9ErIlOnMSkWcL+3h6lchlVVXNPS4Zp2Wj5z19VVVqtNht5QZWZJoqq8sILYnvMWuIcllrQYtrEfOtvNBqhqEqxnRgGAcPhkCROcjuBjJ9vDU4nblEsLRZta50OcRxTq9XxZjPiOCIIQsqOg1N2KJVK+IGYmT9wHJhlHDt+gnZ7he7ujvBjqqr43CyXP/bbssti6wPSzs42Fy78rBgBrq+vc+HCTwE4efIUP/rRD5Ek+MxnXuT11y/y13/9/5EkCevr67Tbbd555x1cd0y5XKbREGbHtbV1ut0dNjePY5oGQeAzHA5JM7Ft1Gq12dq+nYfRipgSy7LJsozZ7OPdgl3ql9PDcsIWMxVtu1R88BuGUUB0m80WqqriOA5bW9soipLnJSZ4noeat/xFrqGeU+Dv5BRK+TbdvFiRZZlKpcZkMi4M+qqqo6omkiSipCzLFgWQPyt8IHM21GQyh/veIcAvdsKEZ0RsVnU6HTzPZzqdMp1OAIlqtUoURsy8GaqsFqPDObMry8hp+hQQ0iTfAjyKmpDubFLmv57kz0PAUMXW4GQyye/jOkEY4s1mVCtVFFVhOp0yHo/FliMZuiYyH3VdgCbDRARsDwYDdE1HkmVM0xDrARn0e31Mw2RnZ5t6vYGsyNjWssBa6v66e+tPNwwazQbDwRBDFwem0XhEmqYYplHki8ZRxHQiFrW6u13gXlSDqqq02u2C53bjxvXiQDCXpusPHAfOfVuWbdNZW2cwGIhDomV/7M3xsCy2PhDt7GzfMwK8cOGnnD//Mjs7O8xmU1555QtkGRweHvLjH/8jtm0XnYOdnS6lUonBoM/169eKYmt3d4dOpwNIBEGIYZjU602SJC2M9bVqPd8KgzAM2NnZLjaQXNf92L9gl3p0ujtTMQzDnCIuCpLBoM88gqeWe4LmIF1xcg3ywkBlOg0ol8soisp4PEaRFWRZLgo3y7IYjUZomk6z2chPwTXCMCLL0iLgWlFkarU6URTT7/fxPB9VFYWaaZo51FSEZhuGWRQpvu8VZvfFTcQ4jtE0DUURKJQ5dmEe0lwql+n1Dgv8wjxgm3TO6lKKTctFloUky3khlqEod3xdpFLx+xLkGAYI/IDNzeO8887bgoEniWigKIwwDANFljEMA7tUxvc9dE3DMi3iOGI6m+UjRoNTp87g+Z7wZ0URlmUVtP9bt29Srzd47rnnP/DXzlIfT3mzabH1N9f6+gazmbh/fN8niiIqTpUkiRmPhQ9QU1VUTaOzvs5sOrlv0dZqtzk8OMAyLTRdR5FlfM/j2PE7HSlRTIlx4GJnDEki8H329vco2SVa7TatVgsnKD8RhRYsi60PRBcu/IxKpXpkBAiws7PD17/+u0eu/cEPvsPFi2+wv7+XG5nFm3UcS0ynE/b390jTlOl0wsHBAV/72tf5/vf/C3Ec4/senidukpJdIo4jSqUSvd4hYSh8HGLLRKZcLi+9W0sd0d2ZioZhUK3WiGORKOC6YxynQqPRAODgYB9N04rCYu7LEMVZDdu2CcOIUqnMJHOLzVhV1fA8L9+uC/Bz0OZv/dbXgIx+f8Dq6ipbW7cYDodUKhUuXXqHJM8jlCSRJej7EfMxpizL2LaVP0/3DsYB0W3SNU103/IR39xXFYUh/X6AYZiC9RNFJDnDC+5dDMnSFN2wiJNIeLVyTIPIFBXhufOQ57nJPs3DpWVJKrhFaZqyvbOVoyA0wjAijEJ83yeOQiRJptVqFX+OzvpGwedKE8EQ6+52cSdj2q0V4jii0ajTaq3g+R5hEGCaJiW79EtFiS31CZEkcfvWTXw/D6HXNVHo6zpxnICUUa83KJdKbG9vi3s8Z2KFYch4PMJxKvct2iqVKnEUoWoas+mEZqvFbCo2cLMsYzQacnhwQK1W47XXfp6HodeQZJmtrduQwerqGhPX5ebNmxw/fvyJKbRgWWw9cu3sbPO9731XIBkqNU6fPkOz2aRUKnNwsHfP9QcHB7TbK/T7PcIwRNdFWOxsNuX06TM0Gi0ODvZoNtv8+q//Br7v0+l02NnZwffFCKeaF3bzx5BlGUkSK+ez2QxN05hOp5RKpaV3a6lCd6MhgBywG3L27DlAjPTmxdjKygoHB/tEUYgsK7Ra7XzjNaVebxQk82q1xtWrV9A1Ddu2i8w90zQLkOo871BVVb72tVdpNpt897t/w2QyodvtEgQBYSiKrbl3ar75Ny9IXNdFVTWxHq6bIhDaNInzvFDIGI/GSLKEZZqiIxdFwgQfxxilEpO8UHsQ7FSSZJHjWK4xGo9Q84JKhFAnokMVx0iyjAwFU0wC0jz+SNN1kjTh8PBQGPzJGPQHTFyXjAxN1XMS94ThaIiqaCI02zCY5T87XRebXGEY8sYbr5EkKWtra5iWVRTDWZYVkV5LLXW3XNdlNp3hui6eL5Y0pjMR11Zv1DmWB0ePRkMOez1su8RsNhUJD7kl4LXXLlKv1cmAWrWKogqciuiOl6g3mpzL3zvm37O72+Xw8JDDg0Na7TaVSlUUfHkY+nAwxDLFDqjv+xw/cbIgyz9Jn1XLYusRaj4+FAnoMmEYcOHCTzh//jPoukaz2b7na9rtNqurI7a3t9nb61IqifiMwaBHGApPFsDzz7/A+fMv8e///Z+zsrLG009/Ku9szWi3V3gnCKjX6zlrR+Hw8BDDEDE+YuwTc3h4WKy1L7XU3WgImGfkiTb/3duM9XqD6XTG8eMn2d/fx/dnKIrGyZOnsSyTW7du5dtDfSqVCpZdol5vEMcHOE6Zer2JLM8N7xL7+3t8/evfKACM89iYMPRZWVml3+9xeHhwhLElDPcaqqoUAduepxUjTUG3V4qixw98DN0g1jTW1jqiqBkP2dnpEvg+jUaDg8ODghp/BLAqSZRKJTzPI05iZEnOAaTJnbFhXvjNv7eU/7ehGyiqgKh63oxms8VKu42ce91MU8QhabpOlo8sdU0njmVkSfxsVlZWcu+c+P1qtcZwOKDVaouA6yxjt7vDWmcd27IIo3Dp11rqgerudqlWq0xnE5J8EWUe/VRxKgwHQ9Y3NqhWa/T7fRynjCSJUPg4jhgNh+iGSaPZZH9/jzfefB3HcUSgfBAyHAz47Oc+f+R7zj2jt25dxzDsI4R4c56PGAaYhglk+IEPvLe36+OqZbH1CDUfHz777PP89Kf/gm2XME2Tt956ndOnz/DFL/76PV/z2c9+lsuXr/PSSy9z7dplLl26wmBwAEgcO3aSjY0Ntre3+bf/9k945ZUv4Hk+iiJz+/ZNsgxOnTqV83hUjh8/WTzuYDDA8zyqVQEYnJuYfT+45zks9cnU/dAQ8/gMuHeb0XEqfO5znxdxUIrCcDiknZ9UwzCkXm8wmbgkSUylUuHM6dN89au/w5tvvo7nzfIOEpw8uYFpmui6hq5rxZjc8wTbp1QqMx6Pqdcb2HYZ2zZ4++13SFMRf2OaloCwjkcEQUClUimKEtF1k1FVregwZVlGuVRiOpmgNxq02m2QZGbTKZvHjiMrCgf7e8KsP//h5KgJPxCsK0kSj6kbGoZhMhoO0HQDCQnf94oVd1lRsCz7DgZDN5BkuSg+A99nvbPBaDQmnS8QKKDIKkmaEAYBZUdgXQTZO8CpONTrTQaDPqqmiUihOMojiCQGgx6K0l7mGy51RHcjHgb9Ho1miyzLaLfaIEns7e4CFNu4IAodyP2OukbZcdjf2xOh65nIRxyNRuIQE8V5iHzExsYGruvSWevc81ymsxmafudQZxgmcRwThIF4nLwJILAxR71dT4qWxdYj1JylJcsyL7/8Wa5fv8ZoNGQymfDMM7/Gd77z1zSbbc6ff6lg32xubvLqq1/nwoWfYRg6X/rSV/j+9/8LWQaNRpPJZEyvd4BhmFy7do1arcbbb7/Fs88+T6vVKhAPixsfIEY2AjgZFZ0tQZ5fRvcsJfR+0BD322Zcy99Md3e7XLr0Dt3uDuWyw9NPP8Pe3m6BjtANE8epYJoGvd4BZ88+g67rTCYTBoM+v/3bX8Oy7GJM/uyzz9Fstnj99dd46603WFtbZWNjE8/zcN2JMN4rMkmSEgR+wZ8yTQtFUYsiK04ELFRVVSy7RBj4BGFIyS4xHg2p1aqsrKyytXUb3/NoNVuMRiPieYCvJOdg1HkckehoNZoNVFXFHbvIsrin5ltYmqYThD5JkqDrOhJg5EHPaZIQ+IHYcJQk+oM+WZpgWxb1uuis+f5EdOckiSiKmM0Es+vMU2dRVRVDN9jbDTBM8SHllB3q9Qb9QR93PKaztp7/3S39WkvdH/EwHA5FzFRe6KRZysy7s+1bqYjXzng8Is0y3MmEJI7px30O9vfQNJ16vYnvzwjDkIwMRVZpNZvFtrD3gDF2ybaZTLyis1Wv17l96xamaVKr1wrP1uaxY4RBcOTQ96RoWWw9Qi2ytBqNJo1Gk1u3bvL2229imhalkgjm/Pa3v8Wrr369KLjW1zeOgAf/6q/+ks3NYwDs7u5iGCblssbh4SGrq2vous7+/h6tlhhLCq9MfOS5WJaVr+gL5pZhGLRaLTRN5crly3jeFMsqsdb5+Ad8LvXL62FoiAfJdV263R3a7RU2NjYJw5Bud0dANsOQJEk4PDxgd3eH69dvEIY+t27dRNN0NE2l0+lQrdY4f/6lApEyHA6xLIuvfOW3+PSnX+T69Wt5Idbiq1/9bb75zb/E970jmAddNxkMerRaK4VnjCxFkhQ0VaNkl1AVBXc8IsiXRZyKgyRJvPzyZ3j77beYTqbIkiSyDtM0j+WhGB0maUyWCbhiuVQmSRNUTWxdZvmIc84ckyTB9VJVFW82g3m2ZJbijkfIikKWptilMoqq0uv3SOKENBFdOEVRRZBvGCIBvucVnQbd0PE9j4yMdmsDy7JoKS06ax3Onnv6UbwclnpC9F7bgq12m+5Ol7E7Eosdkujg6r5emNibDVHIJwkouU9SdJ8EvHh+6MmyjP5gQL1exw981jrr930+6xsbvP7aGwD5pqIiOtclmyxN2djYFF3oNEU1tScyGH1ZbD1CnT//Et/+9rcAisLq7bff5Nd+7VP3bCZeuPCzB5KdO511hsMhjUazMDFPJhPqdWGEffbZ57hx4wY7O1tMp1P0L36Zfr/PaDSkUqkSRSGWZWNZFtVqDU0TpufRaEQYBqiqhm2XiaKw2FAE2O12l0XYUu9L99tkBIS3YzRkOBwUY78kSbAsW3R2yLAsi/PnP8Ng0DuCSAmCkH/6px8BsLl5nNXVVfr9Q2q1Kq7rcu7c07z77o0cICrGdZubx5hMXFx3VBQ9iiKiQ6I4IooiHMdhNEpRNY2SbRcBuyW7VDDE/MDPfVspcRwjzyN8UtGZQlUJA59xKjYNAchzC9MsJY3S/INLwg98amYdSRbh0GEYcOLECQaDAWEYUS6V2NjYwDQt3nzrDeIozjdADexSCcgIgoC11TVGoxGvfOGL7Ha7GIaB53m0WyuYpkkQBgRBQKPe4MrlS8y8GbZl5/fussP1SdZ7bQs6ToVdSbyeTNMq7ocojpi4LrVajSAIKNmlgpnlBwGj4YDhcIAsq2RZTJrG2LaJoigM+sKneb8RovjelXtCqD9pYejLYusRan19oxgJzkcjJ0+eZHPzaDv0QZuJc/3u736D//Af/i8ATNOi3+8TRQFf+tJvMhiIourUqVPEcUyj0cQulWg0mhweHhDHEfV6k2dz1s5ut8tsNsGySti2jaZp6PnsfP7vG9evkaaJaDnfVYR9km6Gpd6/3muTcW4qT5OU4XDI2bNn8wK/xNmz5/C8Gbu7O+i6wfr6ZlEYHD9+gtFoyA9+8A9IUsZkMuWVV75Is9nme9/7O2azKeVymRMnTtFoNCmVSty8eYOVlRVu376FU6mgG2JNHUlGQhKG/IUt32ee+RS6obK1tc0//ODvMQ2DyXSGkhvc5zmP84JKgFqFpyTOMjQNMgnSJC38U7IkF8BTEVCdEoTCsF+rVimXyyRJUpC04yShP+iz3tmg0WjQaDTo9XqFSV9VVBRFET/POMZxKsXPyHXH7Ha7TGdTbMumUW/kXQyDkl0ijEKuXr3CU0+dXRZcn2DNAaH6wvJLFIbFtuC8GLuDTBHexn7vEN/32dreolwqUy6X0Q0D27KQ8+xDVRVd3Dn3bpTHRr300st0d7tcv34Vyy49MAfxk6plsfWIdfdI8Fvf+mYxWpxrOp3cdzNxrvPnX+aP//hf881v/iUHB3vIssSXv/wVTp8+zdaWyrvvXsdxypTL4jGTJGFjYyOn9WqcPXdn9Xbxxf7axQtFJAOA580YDAZsb2+xurpKu72CrktFEbbERCz1IC1uMs5m4nUkinob0zQ5fvwEa511VlZW6XQ6XL16lfF4mAdVZxwc7PPss88fKdj6/R7d7g61Wo12u81oNObatStcv34N2y6haTppmiHLEmtra6iqSqlk4/s+b731JoEfUK3UhOckTdF00VWbBzlLksTeXpc4jtB1k8APmEwmeXCu8LKEYYBUsLp00gVS/fzeiaMYVVOpOXVUTUXPxyKj8YjRcIDjVGg2W4SRYBMpikqWZth5oTVnbw0G/WL82Gq16R0eoBsGcRThBwJIvLK6WvDOgCOFF8CVy5cwDAMjv2eNI/fustj6pKqzsPwy52Qt+qDuV4yNxyOGwyGtdhtN03IWV1gsoCiKgmEaOcuxRxiEWJaIh1IVlf39farVKpIsc/3aVX7yk3+mUqly/NgxGs06b77xFmmWCiZkkhyJ/vkkaFlsfcC632hxPB7ddzPx6Ne9zPnzLwN3on8ODvZYX9/kj//4X/Of//N/JAh8KpUazUaT6fuI5bGsElEkTvmeN6Pb3QEkNE0FJLrdHTqddSzLRtP0ZcTPUg/UfJPR9z0ODw+LoGjHcTg4OMhhp6IzdOvWLTxvShQl7OxsU6vV+NKXvky93jxyELl48YIwyiKxt7fLqVNnRDGUwYkTJ7hy5UqxdXjt2hU2N4/xzDOfQlHkHFkhthRrtRqzmUeaJiiKimGYyLJMu9VmPB6RpAmOIxdRO+J+8FAUOV80SYpIoiyP8XEcEa9TqVSYTCY5jiLFMITPy/c9yDIq1RqmaYr7TNOpOA6D4ZBOZ516vcFudwcAVRFRPdWaGNMYuk6Q553Okx4cp0Kz0XzPTtXMm1G6a2tL1/Qlb+sTrvnyy+LYbtEHdb9ibGdnB01T6fd7lMtlRsMRaZbi5RT4MAhQFIWrV6+iazqrq6sospJnoaZ4nghev3XrFtPJBE3TCYOAGzfe5bXXL1KvNTBMg8PeIdvbW3m8lHIk1PpJ1rLY+oB1v9HiF7/46w/0az3oMe6+/o03XufSpbeLN2dhWlSwrAevy651OlzLb7DBYMCcVl+rNYqT+2AwwLLs3Pf1ZK3eLvXoNH8z/9nPfkKaJpRKZer1OlbOeTo4OGA6nTAc9vMxg8ZTT50jiiIajRZf/ervABQHkSAIuHjx55imyTPPfIqtrVtcuvQ2aSo2aMvlCpubxxgM+liWxcHBISdOnGR9fYPz519iMnEplco0mk1UVWU2mwqPYhBSqYoCqdfr4fkelmUyHo9xnDLDQZwb7oVPKs0osA+yIqMyD6ROKFtlAY2XZKIoIJFl4iim7JSJo4hSucxKe4XBcICm6QVENUkSyqUytmWx1llnMOgznU6xbLuI1tntdguPWalUplqrCQOxZRGEATeuX8eyrHt8WbZlE0Zh0dEClrytpYD3Xn5xHIe1zjqXL72DO5mg6zqe51EqtUQ0j6KSVjIMQycIQhynQuesGAtmmbhXgjBAUVXKZYebN28QRTFj1yXMO8myIgox0pg4inEnEw4PDwULTxGd4CiOOX3qzCeiu7Ustj4E3a9YmnerwnCCrpeP4CDuvmYeZj2/5sKFn/LNb/6/vP32m0iSxO989gtcvnyJ9fV1nn3u0w98Ho7jcOapc+x2u4zHYyoVpzDdd7td1JwGHIZi9XbzCVu9XerRSgANa2KTaMH7IZY0IrzZDMMw+dSnniso7aVSiXa7XbzW5weRH//4x8iyTL/f44c//Hs0TS8AouXyBp43Q5Ylvva1V9E0Dcuyj0RfnTlzjmq1iqIoBL6PZdk4jsPNmzeZTIShfh4b4nke5VKZLBMA0tlsiqwopGmKqijImo6maURRiKbpOBWzAJ6maYokgW3Z6PMPIkniM5/5HK7rEsUiRHsw6BP4PnEiMiB3drYYjga0Wyu0Wi0CxznSrVrs7pXyQPC5kjjh1q2bnD5z5h5f1lqnw9WrVwDR0QqjcMnbWuqhcl2X3XybeH1jk9u3bpImSf6a14plkizLOHfu6SNU+HqjSRxF6IaBN5vR3d0hy8SSTBgETCYu1VqNLKG4jwAG/R52aW4HSJi4LtVKhe7uJ8Ousiy2HoMWg6rX11fZ2Tm4BwexeI2iqPzoRz/gL/7iP1GpOPz85xcYDAZUKhXSNCPwAw57h7TbKw990S6edoR3RZyIO50OBwf7ZJkA3G3mLWdxUy63FJe6vx5EoW80mpTLZV599es5s0ooTdMjyyHzg8jPfvYTwjAijhNKpRJJkjAY9NF1A1mWSdOE8+dfRtO0e8bwOzvbDAY9JIRxX1VURsMhruuCJIoQRVVI4pi1tTUO9vc5ODyg4lSJkxjDNEW0lZSPI0slqtUKpmkiIVGt1bBMi8PeAf1ev9jylWUZVVFotlq4rlsUPoZh0OmsMx6P2NreYnPjGJqmcXC4z82b73L8+IkHjgXv16k6ONzHLtn39WWdPfc0Tz119ohpfsnbWuphun7jGoPBgCRNMXRD5IvxifUhAAAgAElEQVTKEttbW9Rq9dx7JTGdze7ZMFwcQc7D6i3bQkLEU8VxzMH+PpZls7K6soAlykSUHJClIulBUbUHsrmeNC2LrcegxaBq4XO5FwcxvyaKIi5c+ClpmtLvH/LWW69zcHCAaQozb7O5gl0qYRoGe3u77/s5LI4UNU1HURTq9fqRDUTXdbk2B+MttxSXuo8WvVuTyYTZbIokybzwwosYpvm+l0OuXr2C4zisrq4wGAxI05RyuczaWoc///P/s+jwWlb9yBh+8VBSrzcYDYfEcSJCtWs1Bv0+sRSjqMKDNR6PCcIAVdHQDTHqC6Mwz2lUWFndxMpJ2YZhFGHucCcnslarCXBqFNJubRQeKcepHCl83MmEzY1jVKtVAE4cP0kQBmiq9sBi6H6dqtl0yokTp45ct+jLuts0v9RS7yXXdbl16xalko1pmIxGQ3Z2ttE0DUVRiOOY/f096vUGx4/fy7ta9IONXZeK49DpdPA9n6tXLxdJDqqqsNvtYued2kq1RpokhFGIhMRaZ404jp44UvyDtCy2HoPmpPlF3Y2DmF/zs5/9BNsucfXqFSaTSc4AUkiSFN/3GY0GyPmIRnCM3p8WR4pzNMTmXSA5wfYx70FFLLcUl5rLcRw6nXUuXvw5WZZi2yXK5TLd7g62ZTMej4CHL4dIkmBkybJCp7NOGIZ4nvBX3W8MP9fiwSUMQ1ZW1wDo9Q6pVCqEgU8UiXsmjsRj2rZNqVSm2WgRhgEHB/touk6tVhdZcGHIsc3jRFFYdKYqlQqaqvHOpbdxXRfdENdnHPVILRY+85Hgoh5mXr+7YLMtm+MnTqLk6/ZzLX1ZS/2imsf3vPvudcIwQNc0sjSj1+sVeBNN05FkiUqpiiRJnD515oGP482mOOUypXI5H50PaDSapGlGGBkCCJwkJGnCuafPMRqOGQwGlEyDSqUqlkzS9IFsridNy2LrMWiRND/X3Sf++TXj8QhZVrh8+RJRFBLHMZKE2H4iI02z/AWd0my2fqHn8TB6uOdNse2jLKXlluJSd8t1XY4dO35klBgEATNv9r6XQ06fPsvubhffD4R53LJpt8tFNNDdmvsZ/+qv/pKNjQ1Onz7LSnvlTmxVJrLdKpUq+wcHIooky4jjBE1XMU2RwTaZTNB1gyiKKLeEh/HgYK9gVy12pjRdp1wqMfM8mg0Rnr11+ya1eqMwui/qlzWv392pct3x0pe11K+kxfgeCanAN6iqmm/k6mSZ6CaLrm1E2Snfw80CjsQAxUnC9tYWAIHvM51OUFWVtbU1gZXIMibTCfV6HdOwaK+sMJ1MmM6myJLMp1948RNzcF8WW49BizgIxzFw3fE9J/75NWEY8O677xLlow6QipgE3/eZzTwm0wlhEDCbTXnt4s9ZWVnFdV0Ggx6+H2CaBvV684jf6r28WPPf29vbR1V7tNsrxZbZcktxqbv1IMBp4Pvv2ZVa1Bzk22w2qdXOMBwOGQz6/O7vfuOeaxdHhxsbm4xGIy5c+An/1df+66K7W6/XiPJxRbvVIstSZtMpjWaDWq3KYDDMt/9CsgwkWSq2/44fO1F0nxY7U4NBH8epFDDTIBBZhaVS6b5jvEdlXr9ft2vpy1rqQZrNZly+crkIoO6sdbhx4xp7e3tMJpN8E9aiUqnQ6/XEIkqWUq83WFldhQwGwwG+5xNHUZGt+MYbr4npShIX28dzwvzEdckyiOKYZqtV8LviOKZkl8iyrBg9qorCWmf9Ewc9XRZbj0GLOIi9vT0sq3zPiX9+zdtvv43v+9RqNfr9QQ4uFf/EsYhMyLKMtbUOlUqVd9+9wbVrV1lbW8N1J0iShO/7qKrGdOoW0TxzL5Ykyfma/TscP36clZVVdnd3MAyTtbU1trZuc/v2LTY3jxXbisstxaUW9SCTvJF3j96PFkG+W1u36XTW+f3f/+8L1tyiFkeHZ848xU9/+i9IkjDh+96MDPIxYMTB4T61ao1GftgAuHXrBoqsMZlOiOMEyDh9+ilsyxLPfaH7tNiZmnOGnLJT3KtZlj1wLPgoi6SlL2up96OdnW26213iKEKSZbZu3+LNN15nOBqiaSLFwbIsxqMxURihGzoVp8poNKRcLkOWMR6P6fUOaTZbHB4eUq/XAVGAua5Lp7NOEsd0d3borK9TqVRRFYXTp5/ie9//OwaDfsHd03WDTqdDybZ/6RzWJ0XLYusxaX7ib7cdDg7cB17z/PPP8+KL53nttYv87d9+myAIKZfFC1aEg4qwXJFZpRAEAZIksb9/QLVaRVU14jhiOp3SarXY7XYBMAyTJEnY3e2iaXreVj5kd7dLq9XO400Mjh07zsHBPru7u5w8eeoeX9dSS60tbCfpuk6Y06ob+ajt/WoR5PteWvQ8NhpNXn75s1y7dpUoitjYOAYSpFmK4zicPXfuniLlmaef5vr1myiqQq1WYzqdUiqL0/fd3afFzpSsyHi+x/FjJ4rHethYcFkkLfVh6sKFn3Fs/QRJmrDb7aJpmjCshyFZmmKZNqZpgSThzabosoGqKpw8eZI4jouCqlKpUqvVRFG1u4MkyZimyXQ6I4ljVG2egjCg1VQKk7tTFt5MSZKEZyuOCYOQ9Y33z5V8UrUstj7iajbbeN6Mr371twH48Y//kTiO8P0AVVXo93tIskQQBIRhgDtx8zgEj2ZTfNip+UbVot/KtsscHu7k8EUNECcaEeo7ZmVlrYBUHjt2gtlsciQGaKml5ppvJ+3udplOJ9g5rdq2PxgD992ex0ajiaZpbG4e49MvPJxGXalUOHvu6eL/F/MGJSQURRERQZZNZ62D67pMZ1NazbbwmijyfQuzpZZ6HNrZ2ea73/1bXnvt51y69A7/8x/9Gy698w5pmuYRVKFALkgy09k0P4SLmKn1jXXqtTq7u3sgZZimxcbGJtPp9EhRddjr0Ww2qddqRHEEgKKq4j4slzl27Djd3S4rK6s0my0Gg4GAnsoydsmmUqkwmwaP88f02LUstj7iWvR3ffrTL3D58tvs7e1x+vRpbt58F0mSUWSlWGFXFTHqq1brxHGcd7ZiDMM44reK8g+KuVF4Npsym01zCJ2gXne7XTqdzkPJ9Est9WGOCB4UgTU/XLwfzQusRSL7dDLh4ms/z3MMbZI4ZjKdHGFi3R0EvfROLfU4tbOzzV/8xX/ixo1r1Gp1dF3j8PCAwaCfbwYmIopKVYuA+CiKkGWJUrmM7/moLY1Tp08ThSHXrl9D0zTq9TrdHREtpagqaZrg57E9ZKKjNZ1OsC27yDe8fv0qkiwzHAwJwgBDN6jVa0Wo+yddT1yxZespCu8fgfC4lQUjHP3+z3c2m2KrPr/z5c8ShiG6rvPlV57n9tZtNFXD8z2SJOHZ48/SevfOKDJJEkxTUK8VVUWWZEzTAEmikn8wjN0xq60KIIEkNknmQbtRFJIhc+nKDQ4O9qnX6x+4T2vl8yfRHP3hF/4CspsaqZY90sdcVJZ5lMvi8cdj0B/t0yfLJKLog3v+d+s3PvcSJdV4+IXvU5VURXa9R/Z4c206Df7g6/8tvX6PIPAxDJNmo4knZUhB9NCvn/oB8WTGaq2B3GiRpinByCUJAj597llURSHNUuI4Jkwifvyjf+TkyVNFRM4HVVz95peepVp6tC+i1YqMoT76v4MHSU0TVPnhfwe/iFIUolR++IWPQJ5zjFn0aL+XNIiI+WA2uEe9MS+/8Hk+8+IrKIrKZ178AsePn+Czn3kFRVHQdV3EUWUZkiQiqAzdIE4SsizDtm107c5rzrbEoku5VKbdXCUMQ3x/hu/7OGUHRVbQdJ2WouAEZZ7KPcCXr1xma2sLd+JSr9Wx7RJxHLG1dZuNjc0P5M/+cdMTV2wpxCT7bzzup/H+VdJJpuE9v+y6Y65eEzRqTdNRopBZEPDUmbN40iG9/UPcfk/cDNUW/e05oFTDMi2yxMD3A+JYZLbpiYNTLqOEifi2BITegNFohK5pRHFMqmqkaYppmaiVDkkSk2V8KBBTzdEJh9ce6WOaKx4p2iN9zEVlmk6SR1FkaUKWjh/p40vyh9sxKakGF//j9x7dA774qWKL9YOSDESM2WUf5Zk2w0vdh37NaDQgDCMURV34tSHTqQCTSpI4sEynU45/9mmQIIqj9wyEfhSqlnSGb/79I33MSDmHar3/RYVfVUptnXT08L+DX0RytYP4m/7gNYtk/vL/+c4jfUy5tUnIIz6J5bp48QL7+/s55Drk5s13+Z/+zf/Az370DmmWoqkapXJZxEwhfL6yogjEQySipbiTDEUURYyGQ+qNBoqskKQJz754ki+88kWAe4Kt4Q4KwjB0RuOU4XAoIMKyIrJEP5A/+cdPT1yx9aRozvm5Gyja3e1y+tRp0lR0r27cuIGqqdiWTZqlgrztlDFNi7IDSSKAjk65jDuZEA8HqKqGUy6zurpGvVZnMBww6/UIgxDbtornEMfJB+a7WWqpD1tBEDCZTBgMemiajmlaaLknRWQeyqRpiqKI2B4lz0s0DPNIRM5ybLjUR0WWZaMoMnEcM5lMxOtZktA0TUwqJER+Z7lEs9kiCAPiKBI8ugySNEFR7gBzwzAkjhP2dneRZIVarYJTqVB2cgP8XYfuy1dEoaUbBhmwsrLKeDRiMBiyurrK5rFjyzFirg/nuLDULyzPmxVjvbk0TcfzZmKl/MxZoijCcRwUWUbXdRRZbIy4Y5fhcMDEdUnTDN/36A/6pGmCpmmkaUJ/0CcMhGExyzIBnbMs4iSh1+vlc32ZcrnMtauXRc7cA+S6LlcuX+a1ixe4cvm9r11qqcehIAjo93ukaYJhmPmHk0sUiZGXLMsYhgjITZKUJB+zSFCEteuazsybPcY/xVJLHVWn08GybDzPw/d9dN0oDg6GaWCaJrqm0my2mExc0jTNg6BT4dv1fZIkgQym0yn9Xh9NU3EqFUzTYDKZEkcPtuUM+j0ODw+4ceNasanYbq9Qq9VYX99AVdRPTBzPw7Qsth6zxuMxl69c4uJrF7h85RKuK0ZRlmUXaelzCYO7jeuO6e52cV2XWq2G41RoNJuYpkkURiRJjKqqpFmKOx4T+IIPJMYmEoqioigK7mSCO5mgKAqGYeI4ZdIkRZIksjRlfX2darWGYZgFMuJuzfMT4zjCtsvEcfTQ4myppT5sTSaCbK0o6pHure97+f2i5RmgNrIskaaiS1wqO/flby211EdBjlPhueeeZ2NjM2fNZdiWTalcggwgo1qtic1AVbzvIyHe800TTdeRZZkoCplOpti2VVDmZUkiCiO2d7b4m7/9Nhdf+/mR93XXdRkOh/hBgGmYWKZJr9djPB5j6DphEBAE/icmjudhWo4RH5Ncd8z1G9fZ2dnCMExarTZxHHH12hWeOnNWJKtfE4wfTdOL7cF6vVF4uSqVCr4f4Hkz4jgiQ3SpFr0oIIo0bzYjThJURRWeLFUtTvXzUYqqami6hmVZyLLMYDBgd3cXwzAwjPt7Dpb5iUt9HBRFYsEExOvdcRw8zyMIAsplh5WVFUAUZUmSYFlWPlKJmM1mKKqyxDws9ZGU41R44YUXOX36NFevXqFcLlOr1kjShCSOqdfrDAb9eyYliqyQJkkR8zYajwvye5LETGf550qWoaoq29tbzKZTnnvu0ziOQ3e3S6vdptc7JI7j3BQfM51OaLWaqJqWb+suPwdgWWw9Fs3N74PBgHK5RByn7O526XTWMQyD7m6Xc2ef5qkzZ4UhcSay4o5tCpZJmmYcHvby6AURTj3oD4o0dVVVBfZBUbFsm0FfeFRUTSVNUybuBMu2isIoSZKiQFMVlSAMII6LrUbP8/C8Ga7r3nPjLPMTl/o4SNP0o69zVcO2Jcpl5x5kRBgGVCoVscUF3Lx5g+MnTn6g5villgLx2dDtdvG8GZZl08k3YN+P5okFkiwRRSGqplFtNNENA1XTCn9WHMV4vkcUhmiaRhgE6IaBoevEcYymaoRhSJokgCQ2EDUdCQnP8+juioO0N5tSqVTRNZ3BYIAf+DiOQ6vV4vOf/8IH+4P6GGpZbD0Gzc3vSZLmI42EMAy5du0qpVKJLCPPjbp3zfytt99kOByi6zq6bjAcDpnNpozdEZqqoebE4HK5jKpqjEfDYiMsTVNkWSZNUmazWRGm2x/0AdFa1nSN0XiErapF0QbQarXv262yrFLeNbiDDFjmJy71UVO5XKbf7wGgKBpJEhPHMY1G9ch1i+NGRREcr9NnnkJTtWWhtdQHqnnguGEY2LZ4X33QBqzrjrl+/Tp7e7uAxNraKqdOncZxKlQrVVbvGt05ZYd+v0ccxcxmU5AkJEl4ffv9Ho1Gk2azxfbONmmS4Ps+URQhcXTy4fseXh5PZdklojDEsm2sfJEqDIIChLrUUS09W49Bc/O7YRjEcUQYBozHY8IwKLIPr167Uvi3FuX7frE1NRj0CcMAkJBlpSi05ltXSRITRhFlx8EwTQJffJ8o30bRDQPdMGjUG8iyQhRF6LoYTyqyzO7uLr3eIbIso2kanndvBtxap0MQ+IRhIKjaoZjTz3PollrqoyDDMGg0msXrXJYVGo3mkTxHEAeFxe0sWBrjl/pw1O3e2UCXJAldN8Sk4y6/rOuOeeON19ne3kJVVVRVYWtrizfeeP2+nxmAeJ9vNAnDgDhJiKKINE0JIzEmdCcuZcdhpd0mzH9PlmU0Qxjuw0BghBTlTjRPZy1/7w/y9/6lR+s9texsPQbNze/1ep2Dgz1GoxFAQXvvdNZRFDlv1x490Zimie8HjEYjFCXPQpRFxIiqqGKDShLJ76VSCVVR6fcF1kFR5MIQGcdx0T7WDYPmwodOHEckaUqr1Sq6Ww+C0zmOw5mnzgka92yCZZWo1xvsdrvcuH4VyyrlMMjl3H6pxyvhPTTQNIUoSu57zd3jRlga45f6cOR5M+y7NveEJePoIffOmNHKo9YEH2tnZwfXnfCpl44X7+2L0g1DFGdxgqLIYsqRpsxmXjEyT7OMlZUVsjRjNBoShCEZgkNnWhb1Wr2IsOrudgnDkPF4jGma1BvNpUfrPbQsth6D5uZ3wzDY2Fjn4OCAJEmp1+usrq5hWRZZlt1zk4FYQxcB0jskSUIcx0WemyTLZEmCaVpE+YlFz8eCACQg5b9eq9VwJ5MjRRaINvB0MkUulxgM+lQq1eKkLz2ATrcY1eK6Lm++8TqeNyNJEpIk4dKld1hZaVOvN5eF11IfaR0dNyqkabI0xi/1oWh+CL/XknG00BfvrSmmKQzvYRjQ7/cJfI8wDJlNp+zv77GysnpPwRXHMWmaFAdqRZbJgMiN2NvtMplOKZfLaJpGtVpjMp0gIVhdZ546y+lTZwB4443X8DwvP5gIHp2wvizf2x+k5RjxMWjOyVJzYvvaWoenn36GkydPYeVr5ve7ycTXOhweHmLbJWq1OpZlkaYJEgLXIEkScRwLgq+ikKaZ8HKpKpCRZhmWbZOmKXF8NFYjDALB48pSkQwPHBzskSQxm5vHyLKHR8e8e+Mag0EfSRLBp6PRCHcyxnXdJRZiqY+8FseNYRgiSfLSGL/Uh6JOp0MQBHdZMgI6d1kyFkGmAMPhEG82Q5Zl4QGWJDzfZzAcEAYBvd4he7tder1DkjTF94Oi0IrimNlkSpIk+IHPbDplZ2eHg/19PN8TY03DoNlsFZ9H129cYzAcIEkSpmkhSRKD4YDrNx5tAsiTpmVn6zFpbn63Szp7u4dcvXaFMAyOYB6ObR4vmFrz7RTf99jY2GRvb5fd3S5ZBrKsiMJJAss0MUwTSRLdrjiJ0TSNjAxZF2HUcRwzm82owJF285y5pWs6kizRbq8Wc3rhDXi48XF3dw/TFO3t8XiMpulowGAw5OTJ0+KaJRZiqY+w5uNGgEqlQmYsDb9LffCabxN2uwsb6PcJOu90OvR6hwwGA0wzwx2PgAzdMCiXHWRJRlVVxqMRWZqiqKoYj+eh1JquIQFRHBOFIRkCfK1pqmB1ZTGe5yFJEqMgII42WOusEUcRV69eZmdnB8u2CiO8qmmYZLlZf6kHaVlsfQQ073TdjXkAinHjfDvl5s2brK6uoaoqGxub+L6PqqpkiK5XuewU0TxJztWK5RhvOstbyML4KMtiBXj/YJ+V9gq6YQjAYxwThCH4fu7BsvPMuDL1eoMrly/jedP35cWKoghN00iSpBhBLrEQSy211FL313sFnXe7O1y+fAnXddF1g3K5jO/7pJmA77ZarSMjyDCK74BMoTg0J3FcbMMjSSK7UJbxPE8UTqZFEAaiMNN0VFXFVu54yaazWbF9eEcSZMsUxPfSstj6iOh+N9nlK5fuyUcslUrcvn2LRqORs4JK2LZNvVY7wgxyEEgHWZbwPb8gYmdZVkQ2IIHviXZzvVYXm45IRfj1aDQiCEKq1Spra+vs7u7klO0yURRy7erle0KqV1dX2d7eQpIkNE0likKSJCme1xILsdRSSy0l9H65Wt3uDv/yL/+MaVoFzHo4HPLZz36O1dU1tre3kGVBkE+zlDiO0TVVhEHniqOYLMuI4pg4SZAkCVVRiDJhNUnShDRJUTQFyzSJophSucSieUTTdXRdY39vL4+4EpFASZKwuXnvAtVSd/RLe7Z2dnb4gz/4A1599VX+6I/+iOn0XjP3zs4O58+f5xvf+Abf+MY3+MM//MNf6cl+0nS/fMRWq810Oi38U7PZVDBR4pjRcFjkHc6RDkmaIskSqqaJVV5dR9fFxtVkMiGOI8ajMe5kUoROp2mKqqrUanUMQ+f8Sy/jum5Bir+zlnxvjM+p02eo1+tkWVpsMpqmycrK6hILsdRSSy2Va87VElFnJZEgcvX+yJ/Lly9hmhaWZSFJMpZlYZoWly9f4vTp08V7ru/7kGVYpkmlUiVJxdZtHMW4ExdFFiNGWZJEsWSaSCA22mW54M/FSSIo8pMpi/2q8XiEoqhijKgq/z97bxYkR57f933yPuq+uqv6ABrnYE4sdmev2YtakuYuZ4ek15ZDpEmGQhTtkBlSyLb04g2HQnKEGXqgIqQwGX6yFFrbVDAUMhXkcociV1ytdrnSzg6wcw+Owdnd1VfdlZmVtx+yKtENYADMTAMDYPIzD5iuzsqqyur61+//O75fJu6EXq+HmctxaNo8n3Fr3ndm6x/+w3/Ir/zKr/D888/zu7/7u/ze7/0ef//v//09x7z22mu88MIL/KN/9I8+8BP9KGIYJsPhEMuycF0XTUsyW82pjslwOMS2LRRVRZEVIKbb61KtVFNJh9muQ5Zl+r3e1IDUJ57ugOIoIopjEKBYLJEv5Jk4k6l6vEYcJz1W586dpVgsUKlU00bJW5UEC4UCTz71DBvt9lSXS0AQmAZfCkvZaHBGRkbGHl0tSCoXjuNw+vTLlMvlPZmu0WhEsXijDJDGcDhM/RFnGTIzl2Nubh4gnax1JolOnChJVHI5hqMRwVRPq1avMx6NCGBa+QgR4kS7ceLYOI7DyB6Sz+XZ2d5mYWEhVY13PRdJFKlUKtm6fgfeV7Dl+z4vvfQSv/u7vwvA17/+dX71V3/1lsHWuXPn+PrXv04+n+cb3/gGjz322Ad/1h8RCoUCb7/9FrpuTPW1JvT7PZ588kmGwyHQwzB0pKleSr6QRxCEPZIOsqwgComxriTLTKwxwvS/KIrw4xhDNwiCgNFwSLFUJF8ooBby5HJ5dna2CQJ/mrqe0G63U6f5dysJ7paCyMjIyMi4mRt1tRzHYWenQxSFVCpVVlevcvbs2xw4cBBV1aYT3UHaCyvLcrrO7m5DKRVL6dBTtVpjNB7hul7SHiLL+EGQfGeIIoKQtI14nkfoOEiSjCBCHMUoqoJu6IiSxIXz53nqqacol8sUiyUEQUj7tuI4ptvZ4dz5czi2hWHmMhmIW/C+yoiJp19+KicAjUaDzc3Nm47TNI1f+qVf4t/8m3/Db/zGb/Bbv/VbeJ73wZ7xR4jRaMTi4hK6ruO6E3RdZ3FxiTCMOHrkGEEQTpvPBfKFxJ5HkqQ9kg6FfB5ZUQj8IEkXI1w3rJ6mlCVZmmbGwLYsICYKI3Z2tqnXG6iqRqVSYWojnyrXZyXBjIyMjPfHbMM6Y3Nzg+FwQKfT4czpH7OxsYHve7Tb68RxzNbWJpPJBEVRmEwm7Ozs3HWflCQlzgljyyKOomlfbuKBuLOzg+/56JqGKEkICORyOXJmDk3VMAyDSrWCbphUqjX8G77Dh8MB/X6fwPcxc/l0ajGT+NnLHTNb3/72t/nt3/7tPbetrKzcdJxwC8XLv/23/3b6/1/60pf4nd/5HS5evMiJEyfu6snVavk7H3QDsTuAnHrnAx8gzHd5vmHoMTdXQxDq6W1xHDMej5lv1jlx4hi+75Mv5NH166bSup6oZAMoismC0qLb7bK5uYWiqghCosklKwqKLCe6WkbyoRoNR0RRiKxIzM3VqddrUz2VIpom0+l0GQwG5PMHOH786E2p7feLLEnEyv7Oa8iyhGze278Fc3p+WfbSa75vCGLqS3Y/kBURRd2/1yDLEmZOu/OB+0Qoi3f9HtztcbIsod7jv6EZiiyi7vPfkCyLmOb9ew+Q9/9zjCRh6tffA/Mevh8D8e7/hu4WQZaQ1Zuf8+HDBzl79iyCkDS0b28nCYsg8BCn/VNxnCi512pV5ufniaIQ23bI5QwOH15BUaSbroc0/Ry4rstg0Ev6b0tFNje3iOMYTVVAAFmR0QXwPZ9c3tylKO8iy3L6nSIQUyoVGY8HmKbJlSuXyOVzzM/NJe0p/S4Liy2KxSRLZ+gKrivT620z37z+3XU/14IPiqYrNBr7m5m746fiq1/9Kl/96lf33Ob7Pp/+9KdT9djt7W3m5uZuuu83v/lNvva1r02zIkmgMMuG3Q2dzpgourOQ5m4KakBoPTzZMzOnYr/L85UkldHI2jvO67nIcnKfSrnOhXfOU6raLP7iF4iikCiKKBSKN14TJj8AACAASURBVH1JL5PsQHzfx3VdfD+Y/iYmjmNKpTKCAKIoJjsuKUfnUAlJFKeN8slz8H0fSZZZWlq+42uzbZtut4PrTtA0nWq1ljbh34hWU5BrN/8NfRACwLPv3d+CaarY0/PrusJf++W/uq/nF8QcQXDn4/aLYiQTPLF/ZX5BELEtd9/OdyeMAH75N37pjsfJskgQRHd1zvyBGvF+B9HvwnxRpBnvb5OxKIjY9v17DxQ1QDj+hX09p5Cv4UfJe6DrCpOJf4d7vH/Cnk9Y2t9sfRwK+LdYh2RZ58CBQ7Tbba5cuYaq6oRhgICXCF6H0dR2LU+/P6BUKnPo0OHr541jer1BugbN8L2Q//Zv/hcMhgPiKEaURMIgpN/vEYZJw7xp5jAMIz1mti77gY81HhPHMaaZQ5Ikjj2xTKe7je04zDXmCKOQQb/PxHWZn5vH9dyktLj7NQOTicPRI8eAJHhx7+H7tt+Iosj29nvLzImicNsE0fvagiiKwrPPPsuf/Mmf8MILL/CHf/iHfPGLX7zpuJdeeonJZMJv/uZv8qMf/Ygoijh8+PAtzphxK2a2PsBNYqczJEni9Et/CsTMzzc5fOgwmpZ8oNob13VZCoUCS0tLDIdDoiieZro2kGWJw4ePMnFzuK5Ls9ni0uU29ce+yBtrV/hP/+kHxDF89rOfQ9M0hsMBX/nK8wR547bPfX19jRdf/BbFYolcLo9ljdP7Liws3nR8pMREPLzikfmcTz63v1/KklJjPL5/2jXiyLmla8HDgvP2za0Mt0LLabh3GQRWHztAVLj93/p+ockOsqHfl8e6V/j99p0Peo9IxSbjKHkPjEKB8eTelacCxnjsc+bsNvmCWa+V49g0my3eeOM1REkiCiNiIPCTftlOZwdJut714zgO29ubBEHIuXNn90hG/Ofvvc6lSxd5443XkWWFXC5HFCWK9JBsmCuVCq3WAq+++gpRGGCYOQRBSHq3woDRaES5XEaSZP6X//2/41//f/+Kxx9/kjC+HjCN7SHhZvLz6vqVPZIVo9EQwzD5+LMfB6DRKLzn4OVR431LP/yDf/AP+IM/+AN+/ud/nh//+Mf83b/7dwH4/d//ff7pP/2nAHzjG9/gL//yL/na177GP/7H/5jf+Z3fmWqBZNwNu219bNtClhWOHjk2nU4ZcuGd88iyzKFDh1haWiKKrpvrtjcSXRbX9SgWS7iuxxtvvEGxWExEUOOIfD6HJMmsr6+yvb1Nc2owGkUxg8GAV199BdNMevPOnDmDYZjvGizdyJkzpykWSxQKRURRpFAoUiyWOHPm9L28ZBkZGRkPHYZhIssSjcYcmpY4fURRRKFYIoriaSbKxPNcbNvm2rWrTCbJ5ni3ZMRoNOT1119jdXU1rUZsbW4wGPQwTQPP89Lm+rW1a4RhAFMZCNuycGwbQRA5eHCFxcUlCoUCYRiysnIorWZ0Oh1eeulH/OhH/4nvfvc7LCwsMBwOGI2GRFHEaDRkOBxw6tTHP8xL+sDxvovri4uLfPOb37zp9l/+5V9O/39+fp5//s//+ft9iAzeXVG4vXHz2PDs9kKhuEeXBUj/vXjxIvV6nVqtjucl5cTRaIzrunQ6nakYqcKB5tOUSmUmE4cgCDhwYInnn3+B9fU1vvWtP6LT2aZWa3Dq1Mf3BF/r62ucOXOaP/7jf8vi4iKHDx+bPu47DId94ji+6T4ZGRkZH2VarRYXLpynUqkShiG5XB7btlBVlTiOePbZT5LP52m326yurqHrGo3GfLquQyIlAUwFUg00TaPX6xLF8bQk6VAoFKbq8SHD4ZijR4/R7XbxPI8g9JFkCVEUWF4+gGEYxHFMPp/nyJFjWNYYz/M5c+bHGIaJpunEccSZMy9z6tQnEk/F7U1qtQbPPff5bI2/gUxB/iHlxrFhmOleJeKyiS5Lac/vdV1nbe0ai4uLrK+vY1kWoigSBD5RFBLHyXk1TSeOYsbjEZubG2xvb7Gzs82ZMy9z5szLFIslGo15LGvMiy9+K8127S4dLi4uMRgM+P73/wMQU6/PpR/O3ffJyMjI+Kiz2xcxCHwmkwn1eo1KpbanRDgrOZrTst+M3Wt/GEYIQoxlWQRBogo/CSfohsGBAwcxDGNqdg2NxhyFQpFer0sYRkiSsGeT7vuJZMTCwgLf/Oa/4MqVSxiGwdxcE1EU+cQnPsl4POKP/ujfsrKycssNeEZCVtN7SLlxbBhmVjhJz02hUGA0GtLtdtjc3KDb7Uyb1T3W1tZYW1tDEEQ8z0eWlakqfKIsL4oig+GACxfOY1nWVDle5Zvf/BeEYfiupcHdpcMjR44SxxGdzg7D4QBIArknn3w6KydmZGRk3EChUKTValGpVCmXyzcFWjN2r/2O47C+vsaFC+fp9/sIgkAYhnQ6O0RRhGmaif4iyXeCrutT2R6XZnN++p1hsLCwyIkTJ6aajhpxHKfHGYbJmTMv8/jjTyJJKo4zYXV1lcOHjxLH8Pbbb9Pp7NBozOM4Ni+++C3W19c+hCv4YJNlth5SZs3zjjPBssZpluqZZ04CsLS0xPe//310XUfXdcbjMcPhkLm5OSRJIo4jLCtRf0/0uZI/BUVRKJfLuK5LGAYUChVKpTK1Wo3Lly/ygx98nwsXLlAoFDk8teaZjSx3Ots0GolycbVa4xOf+CRXr16bWv1oPP74E1SrNaIo4vz5s3vKkb/wwpdRH97++IyMjIwPxMy+R9M0TDOH73tcuHCeo0eP7Qm4ZiXHmQiqMO25yucLWJaF4ziEYeKDGwQBgiBQrlSQJAnbtjAMk+XlZMjqwoXrA1iSlCjBm2Zuz3GOY6eb6JMnT9LpdNja2uQ//Ie/wDRNDMNkcXEx3YBDsvHOslt7yYKtB5zRaEh7Y5dRabOV9nE1m61kmiSKEhG6XJ6NjTb5XJ4wjDh27BhbW1vYtk0QBBQKOTzPo9PpoKrq9EOZNNXn84m5dKMxl+yIVJWPf/xZXNfFti2q1So/+clpXNfl+PETTCYOZ878mOPHH2NhIRHWq9UaWNY4/cBVqzWOH096tp599lPpa1pdvcbly5dYWFhMy5Fra6vUa+G7Ot5nZGRkPMrcyr5ndvvudXFWcjx9+mWiKCSXy01t1JLyYLfbIZ8vMBj0iGOo1erMzc0TxxEnT57a85iz0uUsuHrqqadvWoNd1yWXSyQNqtUqP/zhD8jl8ggCdDo7hGHI008/nR6fy+XTDXjGdbJg6wFmNnG4Z6fzzvldE4kjlpeXb9LhmgVnjcYcc3PzOI7D66+/iqbpUx2uAt1uZ5rhmmmfJebSoigkjZSiyOXLl1hZOcTjjz/BxYvv0GjMs729yWTioOs6juPw1ltv8vzzv8D6+hrdbofvf/97NBoNHn/8STRNo1qtAzGj0TCVgHjrrTd4/PEn9vQhKIpKe+NSFmxlZGR8JLmVfc/GxgY7O1tcvnwpkfY5fDjdbOu6ntizjUZsbSUyEIlSfMBjj7U4dOhQeq5En/FmWZF3G8DajaZp6Sa62+1y/PhjbG1t4fs+1Wod0zTodrvMVJ0sa0yt1tifi/IIkQVbDzB3mjh8tyb5brfDZDJhfX2dXC6P57loWlKr9zwP27YIwwhVVVhYWKJUKjIcDhmNRqiqxsLCErnWAnEcMzc3T7lcYWtrE8Mw+Ct/5Wfo9boMBn1KpVKqID9rjP/iF3+Kt956g+997y/4whe+xF/7a78CJGnl2aTKysoKS0sH6HQ6XLz4DqPRkGNHm4xHnft4dTMyMjIeHGa9WDND6qtXrzAYDNB1bSrVsIptWzz1VJJF6vf7BEHAcDhMJBtEYTpBGHL58mVWVlYoFkv4vsdgMCCXy/HKK4mET9LTO7peMblFb9iMarWW9t0OBn1yuRytVotTp54F4OWXX2Jra5MoilI9xeee+/z9uWgPEVmw9QBzp4nD3R/OGcPhkH6/T73eYDJxpx5aW+i6wWDQRxQldF1HFAXG4zGLi0s88fiTtDeSKZjZuXL5PJ/+9Gdot9fRNJVarU6r1eLAgZX0sWbCdbsb4wsF+MIXfir93axuv7t+/61v/RGrq1c5d+4shmFSKpXxfJ9+v89oNMyyWxkZGR85Zr1YAL1eB9u2kSSRUqk8FbX2WV9fT3tgC4UCa2ur+J6LqqpEcZQKU89s3WZVCwBZllEUleFwwNtvv8Xi4hLFYvFde8NmmGair3jmzGmiiKl8z7PUajUATpw4QbvdzmQf7kAWbD3A3CqY2j1xeCuF+Zl5dKlUQlVVer0ekiQxGPSRZYUgCHAcB1VVqVQqRFGUlh13B3au67K5uUm7vc4nPvFJnn76JGfOvMzVq1f4yU/OcPr0jxkO+ywvH6TZbPKzP/sVdpu836puP9Pgeued83zve99lbm6eSqXKZOJAHFNvNGhvbGTBVkZGxiPJaDSk3W7fMqM068M9d+4s165eJQxDGnPzqKqG57kMhwOiKEYQBGzbRhTFJAtm20RxhCRJyLKMaZpMJhPK5TInT57i3LmzKIqcfo9YloUkSVy7dpVcLo+mqeRyuZt6w3azsLDIwsIip059nBdf/BaqqqSZLEmS+Jt/87/PAqw7kEk/PMC0mi1c151qolwfxW01E++uWynMl8vltLSXjPQucOjQEVzXRRAE8vk8mqYThhH5fJEwDNMP/nA4ZH09sfi5cuUy6+trLC4u4jg2Z868zNLSMt/73nf5/ve/h2WNqVRqDIdDXn/9Vf74j/+QTud6GfDGuv1Mg8txbI4de4xKpcr29hbr64nSca1ep1gs4UyzdhkZGRmPErNpwyDwMc3cHuX32e83Nto0Gg0OHDyAmcsxGg3wPJfxeIwwNabXNI1cLkcQJLY6URwjTqV7dN0gCAIkSUw35Y5joyjqrucxxrZtXNdF1xOB052dDr3ends4FhYW+cpXnscwTLa3N9+Tq8hHnSyz9QAzC6baG9enRZaXDtw0mbL753Pnz96UDRuPR1Qq1alivI+iqBiGMW10L6c1/LfffgtdTywd4hguXDiHKEqMRmMUReatt94iikJqtRqqqk4zZT6WJXLt2ipvvvkan/vcF29Zt99dagQ4ePAQ5XKFcrnMs89+Ck3VGA89jBvKphkZGRmPAneaNtz9+0qlxmg0ZjAYMBj0GY+TAEkQBKIoolyu0O/3gQhN07GtMZPJhPlmC8dxpt6Hyab8xgrJzApI13VAQJYVfD9gMrk7v9BZlivjvZEFWw84dzMtsptblRYty+LQocNsbW1hWaN0l2PbNq1Wi1azRXujzeLiEpZl0ensUJcEFEWl3++xsLDI9vYmP/jBf0xc6QWRarUKJB5biaVEzNmz5+h0OrRaC7zwwi+mH8j19TW++93vIAgCxWKZw4ePcPjwkT2Nlb7v47oTlpeX9/0aZmRkZHyYjEZDLl++jCAk030zqYbdPbi7WzmMqdr7xsYGa2vXsCwLXdMoVyrEMVy9coliqYQsKyiKgqLIeJ7HZOJw/PgJ5ubmaLfbXLz4DiBg2xalUglFUaeuIcE02Eq0uOJ4Fnxl3CuyYOsR41bZsIMHD+L7AbquMR4PGQ6HKIrC3Nw8Tz2Z6KpcvPQOxWKRUimx+Elc4n2uXr1MFEX0+z3y+Tyj0ShNO9frdURRxHU9gsCn1ZIpFAp4nstf/MV3mJ9vAsmkou/77Oxs88477/Dqqz/hS1/68p7GSkl++l0bNDMyMjIeVmblQ1kWgUThvd1ep9Va2FPuuzEDZRgGi4sLjMcjGo05bNsmiiIcx2FsjbFsiyNHju3xMbRti8OHD98kjgoQBAG+71MqlajX6wRBwGQyQdM06vUGhd1Ntxn7ThZsPYLcmA1rb6zz0ks/QtcNFhaWmEwmTCYOTz99XcBu9wfdMAy2RiN2draQJIlz594G4GMfO8WFC+cZj8e47oROZwdN07Esi0IhT7PZpFxOGt4vXXqH73znz6hWa4RhhOt62LY9laLw+PM//zZf+MJPpY2V+XxM6GcWDxkZGY8Ws/JgozFPu72OoiQVge3tTSqVaqrmvnsacVaVSHptE6udMAxZX1vFmwZPcUxqxdZsJjY/hUIhfbwwjNjZWcd1PSRJwDRznDx5ao9S/e7HmZUdM+4NWYP8I8poNOTc+bO88uoZzp07S71eR9f1aVOkzuLiEqPRKD1+dzN+v99HIJlacV2X8dhCECT6/T6f+czn+MxnnqNUKjOZuNTrdZrNJp/85Kep1+cRBAHDMCmXK7z66k/odLbZ3NyYCp0+gaqqCAKIosjc3FxW+8/IyHikmTWoG4YxzWZJhGFIEIR7svkzZfjdA09Hjx6jUqkyGo3o9bpIkoRp5pAlmSgKiaOIOIrp9Xqsra1SKBRwHJsgSLJnYRii6xogcPXqlVRa51aPk1UV7i1ZZusR5Ebl+fX1dURRZGFhMXVzn6WcZ+wuP25stKkVjmAYOrKsEEUx4/GQa9eu8fWv/zfUajV+6qe+jGGYPP/8C/y9v/c/Yhg64/GQjY0NbDsZLS4WS9RqDV5++cfMzzcRBJGjRxMx1tnocEZGRsajzGzS27LGuK47ddaoUSgU7irAOX78Mf79v/8Oge8TRRGB7+P7HoqiEoQhCD6GYLC4uMhoNMIwTFZXr04zaInhrCAI5HJm2oz/XnuBMz44WWbrIWZP9ur82XSEeLfyfPIhyyMIIr1eL72v73sIgrDn/gDHjz2GIEAUh4CI7/sIAnieRxSFVCoVRqMhV69eodfr8C//5f+FIMA775znrbfexPM8ZFlhMBgQhiELC8lOrtfrEccxjmPjODbz883M0iEjI+ORZyY+Opkk8jubm5u88cZr9Pu9dM2GZD1//fXXWF29ytbWFqurV3n99dfI5/MsLy8jyQqul0wM6pqOpiZCp6KQfI1b1pher0Or1cKybOI4JmmA9/F9n3p9DsexP4xLkEEWbD20zLJXezRb3kk0W27UValUKsRxjGWNU72uwWCIZVk33b+9sY5tO8QxGIaOYZgoijqdZNHY3t7EcRxAQNcNGo15jh8/zvb2FmEY4vs+cRyzvHyAZ5/9JOvr6/zar/11wjBgc7ONqiocP/4YkiRx6tTHP7wLmJGRkXEfGI1GLC4uIggC29vbSJLE3Nw84/Foj87WxYsX6fV6CII49T1MNsgXL16k2WxRq9UwzRySKBLFMa7nEYYBYRhSLleYTDz6/cRW5+DBg0DMZDJBkiRarQVkWUqb8TPuP1kZ8SHldr6Jt5pqqdfrjMejdELRNM1UVdhxHHq9HpY15vLly+i6hqLIU2uGCEkSkSSZj33sJL/+63+Db37zX3D16mV+9KMfEsewsnKIRmMeVVWZn29SKBQ5fPgIlUqF7e1Nnn/+Bebnm5w5c5pOZ5tarcHCwgJnzpzmz//8T6nVGvzCC19GVT60y5mRkZFxT3Acm2KxhGVZNJvNaWkvTicBZ6W9zc0NdF1PS3+yrKDrMaurV2k05lhfW0VRVTRNS4acXBdNVQmjkNXVa/h+snH+4Q9/yNNPP00YhkRRssleXb2GKIo888zJD/difITJgq2HlNv5Jh4+dOQmrS1RFPj4qU+kdfpXXj2Doqg4jpNOyORyebrdDrKc1PorlRJhGCGKAkEQ8tnPfp719TX+7M++zXA4TkeFz58/SxD4zM01+fKXfyZ9PqPRMC0V7hbCm6nJF4slGo15LGvM2toq9Vp4V30Eo9GQ9sYGjm1hmDlazWbWf5CRkfFAMuvZ2traJAiSTJQgiJimyXg8pt8f4Dg2/f6AYrGAoqipavx4nIiVRlE0DbJcEKBYKiGKInGc6GRFYYiiqCiKzNbWJpcv55mbm+PNN9/CtseIokShkOfy5Uvk8/lsvfwQyIKth5Tb+SbejfI8CFy7dpVut4MoSlN9rYBcLp+OJs/NzScf5Kli8U//9M9y5sxpwjARwNM0PT3XYNBPexByuTyWNebq1as0Gg3+2T/7J/T7fcrlEkeOHOfSpXfY2Gjj+z7FYolqNZm2OX/+J6ysHL5t8HR9bFnHzOXxvdubqGZkZGR8mEiSyNtvv4VtW9OgKMlcGYbBubNnqTcamGaOYrHAzs42vu8zmUwIw4DhoE8UR7zzzoVEkFQQEAWJ0XCIqqm4E5ecaSLJMmEQMhwMkGWF9fX16fSiyNzcPLIsEwQBvV6PS5cu8swzH/uQr8pHjyzYeki5lVK867osLyWaLbPAY2Yy3d5op7ePRkNs255+oCNEUWJnZ5t8Ps/CwhK9Xhdd13nssce5cuUSvV6PpaXl1ES6XK6wvb2NN3Wbh5g4jjhy5BhvvvkG7fY6hUIB00xsgK5cuYwoSgwGAzzP48UXv83TT5+k0Wiws7PND3/4A37qS59EQCDw/dsGT+2Njam3Y8jO+jqu5yKJIhcvXeRktoBkZGQ8QCSbwwuUy2UC38fyx+ALFEtFxqMRkiwjSTKCILC4uITruvR7XURJZjKxCaMQSZKBpMldU1UQwHXdqXK8QgxEUZRkwOKIcqVKEASsra2xvHwgLUsmxzi88cbr6LpBoVBgNBrd0hQ7Y//JGuQfUm5lQn30yPUA5XYN9O2NNqVSkeXlA2iaRhAkfomaplOtVqjX6+RyeYrFZDz4537uqzz77KdwHJvLly9NvbVC1tdXuXTpEpOJTbO5gO97PPHEk/zCL/yXqKpKp7PDO++cJ5fLU63WyOVyvP76G1SrNba3txAEkX5/QD5fmPYv6KiahqbptDc2bvm6HdsiCAPaG+uEYYCu6SCQashkZGRkPCi0222iKKJYLJLL55mba2HmTDzPww985ubm0mMNw+DQocPIioKqqqiKRiFfSEuEgpBI9kiShKEbxMDC4hKSKOE4DoIokMvlkCQprU7M5H08z6XX6xKGEbKsMBoNeemlHzEajW5pip2x/2SZrYeY22ml3K6BftbvpaoCR44cpd1eR5YVwjDA81xEUeD4seO8fXGLhYXFPaJ7CwsL/OmffhtdN6YBls9g0EPXTT71qU+nx/q+T7lc4dy5c5w8mWScdN2g1+vy+OOP8+abb+A49jRQlPF9j2qlAoCiqtjW+JavyzBzrF67iiIryNN0vIBAzszR3tjIdmYZGRkPDI5jk8vlsG0b153g+8nGVpIkSqUyURRPRUfBcRx2draQ5USwVFFVFEVhNB4hxEnD/GyavFSqEEUh8/NNoijCbU+QZBld1/E8l1wuz9zcPL1ejyDwGY3GgEAUBdRq9cRrUTewrDGlUukmU+yM/ScLth4BLKGKNdkrEBoVjqJKCoJw/TY1hiD0yZVloihClCTMEhysP81k4hDHMWo+T8kwGVoxzfkWuqYj7DqJoRk8ceJpNF1nPB4RBiGCKBD4wXQSsYCmaTz/879IGIY8+4lPUyqWkCSZMAx45umPoes6P/szX4UYnnziacIw4tixxxDYQpYkwiiiVCwxmUxueq2tZgsBAVmWkwbRKCKKIgzTII7Zcx9Fkacp+HuPZ+dwrf0VaRXECUEg3PnAfUILQ4JJsG/nkxQJQbp/z7/1TAvlLt5uWRYJgrt7r0zBJXb375rcDlkAMfD29ZyxJBMI96+A4WmLuO7+Pp7YDfGj5HPdmYR4E39fz7+byAsJ9/EzcKB1gHFpzH/8y+8hSRKBH+BOJsTEtFoLjEYjarUqtm2zunoNgIMHV7h48Z2pDVoR08hh2WNkUUZWVErlEvl8gVotEUYNggaO4+B5HqIo8lt/679ieb5GFIbYjo0syziOgyRJiKJEPp+fyvck+omqqiCJEqqqEhNTrdT2vIaa5KNMRje9tvdCuD0hdw/ft/0m0nQcYX/H47Ng6xHAmkT8wb/8oz23dTo7RFGEJEnpbWEYIooi+XyBbq+DLMmIkkQUhgRhQLVSQ9OSHY6Qm+Ol06/R6WwThlHqVL+6eo1cLsfCwmI6ySjLMp1Oh1KphOe56LqB57kMh0NMM4emJeKqcRxTKOTZ2dmhXm8wGo0IAp9+f8DRw8tsrL+GaZoIgkC1WkXVNG7F5uYGtm0TRzGSnKTUBVFAFCVqtesLxVPPHLlvwZZrRXzvX720r+cUxQKed/+ClWc+uciV19r7dr6DT7eQ79P1B1BksP7k3935OFXC98K7O+eJFvF90iSRTh4nvHJlX88pHzwIsnrnA/cJ1xX5y//nh/t6TrHUwo2S9yCXU7Gs/Q1Id7P0sSZXX9+/z4DruphNmVKpnA4b4cUUikVEUeSTn/wUo9EoldxpNOanLh8C58+fZTgcUCwWkRUZz00ETX3fJwxDDhw4SKu1AMATTzyZ+h2uLMyx9q//LUEQkM8XsKcWbKIoYJp5HEWm3+9jWUlVwTTNRJk+CCgWi0RzzT2vof7MMqrxwf6GBFPDsd0PdI77ifGlL4KeBVsZd8EsoAL2BlTFJKCqVmqMx6PE9kFW0ttn+L6HbVtMJhN03SAIAq5du0IYRuRyeQB6vW46WVOplHFdl+FwhOd5lMsVfD9AEITUkzEIfMZji2azRb/fJ4oiCoViMi2jzFLkHq1W610DLYBKuZIGWpIoEUYhYRBSqpbu4RXNyMjIeG8krRwShUIB13WpVCoYhoHjOHS7Hc6dO5uWEev1udROrVqt8vTTJ7l27QqKomHbFrZtkc8XKJfL5HJ5NjbaqYzDzO+w3W4TBP508EnEssYoipKKqIqiQByT+CrGcbp+z4jj+36JPjJkwdYjyp0CKk3T9gRXN+I4DqVSkq7u9bqpgXU+X0AUBTzPxXUnSJJMEPi0WotTUT4X1/WQZZnDh48gSWKqLbPbZX5zc4ODBw9hmomisWmaVKtVfN+/baAFoGpaIhcxHuP7PgiJ91ev10NWFAr5/B3PkZGRkXE/0DSNer2eCki32+v4vo/n+biux2TiEseJMOny8oE04PJ9Lw2u+v0+y8vLlErl9LyDQZ/Tp1+mXC7juhP6/SGe5zJxnmIyccjlcoiiRBSFjMcj8vkCnudOrdpEgt7YVgAAIABJREFUarUaQRAQBCGyLFEsFqcWPxn3gizYeoS5U0B1O4IgQFFUVFXAMBIx0pl59eHDR2i323iex2QywjB0er0unudSLleQZTkVMI3jmNXVVZaWlvY06yuKyvnz5ygWi2iaRhiEhFGYNr3fCVXTqGka49GIzc0N4hgUVUGNIrqeR7VafV+vOyMjI+NWuG4iNJo0uSvk8/nbrq+z4415iWvXrlGvN7CspFHdtm1KpRKGYUwzUSKe57G9vcny8kGGwwFra2ssLi5hmjnW19eZTFxUVcMwDLrdbjoZPh5b7Oxsoigac3NzeL7HcDhEURQMw0hbSTzPpVatA9DpJm0ms8AOrreZZNwbsmAr45bMJgTfTTQVkr6wRJMrKTN2u11AoFqtsL6+RqVSRZJEfN9jZ2cndbyfLTCO41CpVAiCAMsa407cPaPQd8JzXTY3N0AQUBWFKIqwHRvTMBmNbz3NmJGRkfFecV2XbreLLEuoqkIYhnS7XarVKpqm3RSIaZrKaDRGliU0Tader7Ozs43j2NMMvplm9RPB0ZClpWU2pkLU4/GYxcWlqdg05HI5JpNEvgGqXLlymTiOk3aRzg5hEGGaMpZlAQKSJDMajdJgShQlfP96r1s+X6Db7aS/i6KQIAioVvc2x2fsH1mwlXFLDMPAnTZkzkp/g8GAXC7Hf/7Pf8nVq9emMhEStm2jKMq0CZ49PV6mmSOKEh+wJMgKuHz5EqaZY34+UTZ2XTfVhlE1Dc91GY3HBL5/27LgaDwmjkGdZsNmuzLHcbAdm263y9gaZ3Y+GRkZH4jxOAmcZgM3s3/H003djYHY5sYmZs5MjhOgVCpjGAbb29vU6w1AIAgCZFkhCAI0TUWWJVZWDnH8+GO88sqZ1I5tNmm4s7ONJIlp/6ssJ9m1bncHRVXwPB9BEBFFEVEU8P3rU5VRFO7pz9JUjWp1V5uJolCt1tDUrP3iXpEFWxm3RFHUtOEyEcZLpuLG4xFXrlyh0+kgyzLFYokwDPF9n1qtThSFaQCVaL54LCws0Ol0potLYhth2xYHDhxMd165XJ5BL8lWbW1t4Qc+cRQhiCKObTM3N3dTwBX4PoqaZLRmgVYUR4ytxLdRluU7KtJnZGRk3Anf91FvmEqVJAnP828ZiMUkwz7XLc0gCEJGo3Fa4guCAFXViOOYer2YOIAsJw4gMzu2MIxS79pqtYZljdlot9ENg2KxiKomWophEOKHHvl8HmW6xkqSnDbD3yprpakaWjULru4XWbCV8a7sFk09dy4xm7548eJ0EdESr61uF93QCQIfUZRotVp7+rXOnn2bYjERzev1ummGSxTFPf0C0bRfq9fr4UwcFFlBkpNAypk49Ho95pt7R5JlJenRsh0bSDJbE2eCKIrkzBwCpAHaexU8zcyuMzIeDUaj4bQ8Z2OaJs3me7elUZQkY7VbSiac+hzeKhCb3T7DcRxWV69hmjr1+hw7O1vYto2qapTLyTrbarWAZK3t9Tr0+4NE+1BNZBdEUeD48cfY3t6cZrEEgsCnUqmxtnoNSRLJ5XLEcTzdCBeyrNUDRNYNl3FXOI6NZY2JoghBEFLF+ShORojjKGbQ7+0JoHzfo1AoMBwO0olGTUuaODVNw/PcVBE5jCIK+Txja5wKlkISQMmyzPgWivKFfB5BEDANE0EU8DyPMAqpVCp7Gu0VVcWZ2lbcDTOz68D3MXP5NDuWWVlkZDxczD7Lvu+Ty+Xwb/gsj0ZDzp8/yyuvnOH8+bN7AqTd5PN5giAkDAMgJgyTKb58Pp8GYrtRVRUBITk+hu3tTQAajXlM0+TAgRVOnDjBysoKn/70cxw//hhAsu4EPtVqnXq9TrfbSQVJW60FDMOgXp9LKwmSJCEIUG/UmW+2mEwmiJLI0tIyiwvLNOdb1Kr1LNB6AMgyW484SePmCD/wUWSFfL7wnicUR6Mh/X6f1dVr07R0lPgpyipRlJQQDUNHUVRGo+FUYysxxl5aWkqNT3VdZzKZMB6PqNcbrK6uAjA/36RYKDKmc9vncaterpkExEystRD4N03U+J6HMe1/uBtmZtezrNj7zY5lZGR8eIxGQ06ffnlqmZNPNa4ANjYS4dKZEGgul8PzPEbDYbop3I02lZsZj8d4nj/NFpXS45LhoKS0mAReAvPNeVzXIwj8tAF+92ZUUVS63R3OnTuL49j0+33y+Xw6lFQqlWlOs/mzagGALEscPHgQXTeQZYlms7XHRLo532InX7gHVzTjg5AFW48wruumSvGKohKFId1eZ49S/J2Y7QyTHZyK7yfu857rIssymm4kO6v6HHNzc/T7fWzbwjBMlpcP0G63WVxcTqYNXZcgCFKtmVZrgVwuTxRd3xXm83mGwyGCLCCKYqpsbJom3W4XSU4a6cPo+jTQbtV4bzo1BBBPf3bdCcvLy3d93RzbwpwKt864nV9jRkbGg8Vs3ZoFWmEQ0F5fp7WwgK7rWJbFxtQ/drf2oCiJjMfjW66P7yalo2na1Bmjg+cl8gz1eo18vkA+D9VqjZWVQwRBkjVzHIfNzY3UCaNYLJHP5xmNxuTzuVTeAZJ19cqVywwGAyxrjGVZiKLIM8+cTNXjMx4OsmDrEWY8HiFLcqqzMvt3PB7ddbDVbl83tF5ZOcSVK5eJooh46q0IMfPzTZaXDyJJIrquo+sGjmPTbrfp9bpUqzVKpRKO4/D222+iqol9TxiGdDrb1GqNtO+qUq7gez5+4BMEPoIoYujG1FpIvGkaaDQeU9v1WnYLngZBgKwoLC8vv6eMlGHm8D1vT0P+e82OZWRkfHjMAinTTAKtWVtBr9ejVqthmia2nZhE70YSpXctJb4brusyGo3J5UyKxQJhmDTCK4qKpmn4vs9k4nDlyhUURcFxHBzHYeI4CJC2Z0iSyHA4ZHNzg5WVQ0CSxZqfn2NnZ5soisjlTGRZ5tVXX+Hq1StUKtU9Wa2MB5cs2HqE8YPEYX43orRXb+VOOI6djiBXq1UMw6DX69DtdjAMk3q9QbFYSqUhgKnfVg7f9+j3e8iyQqlUotfrps2bcRwzHA5x3Qm2beO5HvLUxlFRFFwvkZ3ImSaVcoVer4ckSnue27stjDPB02q1ysLCe9/9tZpNLlw4nzwXVcX3vPecHcvIyPjwmAVSlUqFjY11ACRZxrLG5PN5lpcPsLHRTod9IMk4JdmjMZ1O546ipTPuJAvR6/XY2dlGFEW2tjaZTCaUy2VESUKRkyAwDHxUNZHJ6XR2OHhwJW3F0DSD5eXCHgV6QbguAZFNWz8cZA3yjzCKrBDd0LgZhWH6Ab8bZiPI1382qNcbPPHE0zz33OcpFIrYtoUsK5hmjlKplGauknR6g52drdTeZ+ZA7/seURSiafpUR8ZlPBqxtbWF7dgIJM3xvpcEU/K0dLib96I4/16Y+YzJioJtjZEVJVvMMjIeIkzTxPM8TNOg2VwgDEPa7TVGo3Ga4W82W7iui+u62LbNtatXCcOQfL5ANG1TmGkN3g7f99NzzpCkZCPY7/eYTBz6/QGO4xBM2zDGYwvf9wnCAEEUieKYOI6TIEwU0zX16NFjQJxummd+tIaR+M2qalLabLf3zzw7496QZbYeYW5nRn23tFqt61meqbjpTA9mtzQEwCuvnEkXBcdxphOIE3w/mKrEW9PeAwtVUSmWSsiyjCwr6LrO5YubhFF0s+xDv0elXLnehHofzKdvfG0ZGRkPD83m9XULYjzfo5AvsrS8jCRJaTbo6NFjbGy0WVtdQ9d1zFx+j/jnLDN/O4seRVFwXRfP86feg34iEzHNvBeXDLa3t4jjGN/3iaIQ152khtRxFCMryQS2604olSp7zj/b8Kqqhut66Lo2FULVpo+vTrUQMx5ksmDrEeZOZtR3w243+d2N77cKRPYK8a2hKCqSJCPLIRcuXJhaTSTeiMQxnZ1tiqUSJ048Pl0wbHL5/M2yD+Mx8/PNPebTsqKkgVan0yGYGlIz9VGVFQXfP4Cu6zc9z4yMjEeb2bq1sdFmbW0VXdNpzM3tmQbc2Ghz7Nhj0+x8UnaU5esZqiiKGQwGVCoVVDUJqFav9dB0HcMw0sBL09SkTCiITNzE6Dlpl1CwHZsgCIijmCiOmC1Qvu9Rq9XxPZ+JO6Gg5KeCz/60pyxpw7hw4TzNZiudntQ0BceZAPFUif66jVrGg00WbD3ifBAz6hl3m+WZZcFmUza+H0zNTnWGw2Hay9XrdZAVBU3XMAyTSqVKFN1sghqGIRN3QhgEdDodCvn8LScPJVkCQWA4THrGisUSURQyGg6BOMtQZWR8BJmtW7NAShCE9Heqqk59BBNmZcfd2LaFoihIkozv+9i2DUKinRXtmoZ2XY9ischgMCAMA0RRIo6iRGNLSMSdbcdCkpK+LkFIGt8FQSRfKAAxhw8fZjJxyecLqR9iGEb0el22t7dpNpv4fkAcQ7+f+NH2eh08L9mczpTnMx5csmArY98oFIoUi0VOn34ZAE3TEUWBySRp5JSkxNlekhSCwCefTxSOZ6KmpVI56deSBaI4wrFtojgmZ+b2LG6zKcHReIw0bUy17WHaizaZOBi6get5vP7DH7Jy6FCmAJ+R8YDheR6j8WiXbl4hVUvfT2aB1O5NZ9LPdT0b1Gy2eP3117DGYzqdHYIgwHVdisXidJpwgiRKCKJIGAZ7muB9359ObKtEUZz0oxLvGd4RBCGZ4o4DJEmiWq1x6tQpPM9FlpVb+iFeuXIFz5vgui6yLCGKEpqmceTIsVQGwnEmPPPMyWxtewjIgq2POPshejqj3V7n5Zd/nCrMq6rKeDxKgirPxwl9NNVHkmUEQWQ0GmKaJrKsYBgGsiITjAICPyAMk0yXpsrk8/mbpB4816Xf7yGQTBl5npeqJLteoucFIAhk/ogZGQ8YnufR7XaQphqAYRjS7XaoVmv7HnDt7t9SVRXP8/b4EF4nMYcej8YzK1g8zyOOR0RRlPgYRtGuqUMpFTidWfnEsTMdKBKI4zhta0jMocXp/USKxRJXr17GsmwOHDjIaDTc05u1ubmBZY2QJBnTNBEEkY2NNuVyhaNHj6XZL89zGY1GTJ1+Mh5gHrlgK0RGmnvqw34ad48uI+WCOx93G4TtMUJu7j3fz/c9bHeIXMyjTgVE7ShEUovI73FQdTQa8uqrPyEMQ0qlEv1+H8exiMIYz3XxfA9ZkqZp+JAwDDFNk8OHj9Bqtbh2dZNm62nmmjHuJJGDmIkMRmFEFEVoooggishKAdsZUqvn0r6upIFVRZREfM9DUVXyhRUWlgpJb4TvM7YlytXFO7+Yu0SQFCQl2b0K4gRR3F/V5jgW7nzQPuKFMU/86nP7dr7m4RqiKt35wH3CFFyUE3f+1pFliSAI73gcgCBLs+/Le07khUjHP7ev5xSbzT1+fvcasRsilu78HrjDIeZ8aarVlxCFIa4oohf3bogi4f3/Dc18ET3PYzgcous61Wr1pr7TRJdLZTwY8T98468iSiJBkAz2GIZBFEXIcnIdTcNEkqV0Q2gYJv1eD8/3sC0LP0gsfeIYIObQUwd44nMNVFVFlmUEQcAwTCRJnBpJJ3pczean6HY7KIrK5csHk9ceXfdjtG0LVdU4ceLx9HnHcYzrTjhy5Gh6W03yqT+zfzI1svLIhQkfCo/cVbQ9Edj/VPS9Qi8VGA1HH+gcfiThhe9tQZpZWVzXo0k0tJK0dj/16rpb2u02URSnKXtRFBEEEUEM8bxkNLpUruA4NoHvo081unRdp91u8/v/97lUZV7TNAaDPpZlUalUGA5HU9PVgFzOZDgcUS6X0DSdTmcHSEoFlmVRLBaJ4xjDMPnNv/Vfs93ZolqtEUUR29ub/Pqv/4339Lpuh2EYjMdJoBwEAp53f4Oj/ebt0+v7er7KsXm0wv0bUIjdgFi9sxSIklPxrbvTmrtfgRaA89Y7+35OvdzE0ow7H7hP+NEEN7rze3D2nas39VHFcYxlWZw8eWpfnstMRV7TNGq1WprRupURtW3bjMdjvv3//jt0PbleMWCNR5hmjpgY0zCpNxoUi8X0XIk0A7z++mtMHIer164yGPQIghBJkhBFkb/6P32N/+23/1eWl5f4+Mc/OW2lEKlUaui6wWTi0Ot1+NSnPstP//TPcubMaf6P//OfMJk4TCYupVKJRqNBu72Obdv8nb/zP6e9q7OM2Mee/Vj6WpTJCNV4eL4DPyo8csFWxp2ZLUKzQGumQdNqLaLr+vsaI05sMZJMU7/fR5Kk6ajyZDqRmEzazM3NT/2/VMbjMYZh0ut16ff7qKqKrusEQcBolPRCWJaVatgIQlL2FMUk8CoWder1BoNBn8nEpVAosLi4zObmBhBTq9UJ4ySDYVljarXG+75m6+trnDlzOlW8P3Xq4zQaJ973+TIyPsrcTR/VB+XSpYv0ez3CqZ5fpVJB0zQ2Nto3BVumadJur6Np2rQkmGSucrkcqqZx5MjRdCrQsixM8/pU9vnzZymVSszNzTEcDonCEFGSmEwcfN9HFAVqtRrHjz/OgQMrfPe7/x5FkbFth2azST5fJI4jXn31J/zar/11AFZWDvHaa6+Rz+cRBIG1tVUURaFcrvDmm6/xuc99EcsaMxwOeO65z+/bNcu4d2TB1keQmQXPLNCS5ZmVRZd6vf6+xogNwyQIQiYTB0VRieMI150giolRqiiK9HpdisUisiwzHA6xrDG9Xof19TaqqqTNobKsIAjJAhiGEYIgoCgKxWI9HYHe2dkBBPL5PI3GHOPxmCNHjnL8+GNpMDnzVvygi9L6+hovvvgtisUSjcY8ljXmxRe/Ra2WR9Pujc5XRsajzN33Ub0/RqMhV69eIZfLo2l66o3YbLVu6TrRbLa4dPFiKtcQhiFxHKOZJqIgptmwW/V8zjattu3gTBxczyWKounampQNfd9jc3ODpaUlFEWa9mdd7yUVRSltG/jOd/4MwzCZTCyCwEXXZ32tJj/3c1/l0qXLbG9vUqs1eO65z+8xqc54cMmCrY8gMwueSqVKuz21spAkLMuiUCi8rwWv1Wql2aNZSl4URcrlMoqiYNtJSVCSJHq9HqPRiEOHVqhW66yurtFub9DtdpPS43Rx0rREgX4WENr2mCAIURQFQRDo93t0OjtTzZsCrWmX6ExjR5Jltrc3EUURRVH58z//0zQr9V4WqDNnTlMsltKFdvbvSy+9xOc//zPv+VplZHzU2a2DdWOmaD/Y2GiTM3MIJJOAM6eJne1tlm5hu1UoFHnm5ElefeUVNE0jCqO0H/SZk7ef9jNNk+FwQKfTQVM18rk8O51tQEDXdTRVI5dL1qcgCDh27ATnzr1NPp9Y8Fy9eoVSqcxnPvNZ1tfX+P73v8fc3BwnTjzBxsYGvu8xPz9PrVZjfr7Jysphnn/+hX25Thn3jyzY+ggym3oxDINWa4Fer5sueO93Ym+3+Gm1WsOybBqNBoVCkclkQhCEtFqJoGocxywuLlIqlXEcZzrpo+DYdrooiqLIzs7ONLASUVWVwWBIuVxiOBylO8YwDHGcCdVqjUuXLqb9WoVC0qze7/e5fPkSjz/+BEtLB1hdvcZ3vvPvWFlZ4ciR43cVeHU62zQa83tuy+XybG9vv+frlJGRkXCvXBpGoyGXL11OBoBsG8PQCcNoqtkX8vgTT9x0/MZGm263iyiKhGFI4PuYZo5mq0Uul7/t482yYoIoUiyVGAz6KIqKoijEcYwkSTzzzDP0ej3K5Qof+9gnGA4HDIdDgsDH8zxOnXqWL3856ddqNBoIgsjKyuE0sy9JycY1Kxs+vGTB1keQ3RY8uq5Tr9cpFAp3DLRGoyHtdhvHsTEM8ya3+d2LZy6XTxvedV2nVkse40Y9mV6vi2Ho9LodwjBEN4ypH5lAq7WA53kIAmiaiqoq6Wj4ZDIhimIMI9G6uXbtKuvraywvL2OaOd5++01+/hc/y3A4RJJkzpw5zauv/oQrVy5jGCaKorKwsMSLL36Lr3zl+dsGXLVaA8sa73mtljX+/9l7syfJ7vvK73P3JffMqq61lyo0GgAJAgRAkJJmJNHSjE15rHCEww+KeZ4Iv86D/5mJkR/ssBXS08xIli2FSYlSjASJBAkBBIFe0NVbdVXWkuvddz/8bt6uqq7qDd1gU8zzUt1VN2/eezPz5vd3vud7DsvLz64Bm2OOOb4cZkWS7/vYts3ysmC2v/jiBqqqoGoWeZGzt7eHZdmYpkGr2WR3d5darU6j0awkB0VRMJmMSZMU3/dpt9rCiiZNH7KNOe15W+12GdkTVS71cekkb1kW3W6Pg4N9dF2n1+vxL//lb7O1dbNsBy7wB3/wb1ldXeP73/9L3njj63z00U+w7Rqbm5vcu3eX/f09vve9/57f+Z1/PW8b/pJiXmz9CuJpInhmODrZczRK4rQCLQh8ms1m5QUDpYtyKbw/6ifjOA5BECIrCrKiEAQBFGKqsd1uE4Yha2trla4sTROiKKLREBNB/X5fmJhaFkVRMBgMODg4pNlsEgYhjiOc63d3d3Bdt7ohf/75z3n77XfIsow//MP/wKVLl85sMb7zzrv8xV/8OfCgiJxOJ/z+73/vy78Yc8wxx1Pj6P2oVqsRx+J+pCjC+HNh8Rz9/g5JnNBstVBkhXqjzvLyKooiV9rPn/70JwSBTxRFWKYlMgd1gzRLqwnnXq9XierPel7Lsmg0hEehhMTeXp+iKNA0jTwv+OEP/wpdNzg4OODu3dusr1/g9ddfZ3V15dhir9dbJAh83nvvfT755CO2tm6TJBFvv/3uvND6Jce82PoVxdNS+DNRvV4ah85+7u4+PNlztJiaYWb0d/36tXL6cMTCwqJwW85zNE3Dtm0RzFrO26dpSpLEXL9+DcdxWVpaQtd1FEUmSRImkzFxHKFpGrIsxqxFu3FCklgiBLbZ4urVz6jXGwwGB6WtxIQgCPiTP/m/MAydVqvN++9/pxK+n2S6VlfX+N73/g0fffTTY8LU9fV1Dg6+nG3HHHPM8fQQvlgPoshmP+/f32ZjYxNJklheXuXa5HMkIMszlpdXse0Hi7LDwwH9fh9VkXFdl8AMSg8sce9QVJUoCo9F+/T7u9XjoyjEMExqNcHSC0YeojgmDCOyXMT1uK6DJMl8/etv8s1vvsvnn/+cIPB55ZUrDwncZwu7LMuJ44QLFy6Q5zlXrlx5IhZ+jpcX82JrjifCTFR/FGelzR9tU2qaTpLETCaT8v8q3W4PVdU4PNwnSRIkSYxGB0FImqalD43C9vY9sizDsmwsy2QymeC6Dt1uhywTcRjCG0ywXbqu4TgOcRzjug6aprG5+Qr/+I8fYFk2tVqDw8MDDg8PWF5eFbmKSpvJZMJ4PKLbFd41H33004duaKura4+9yTnOlN3+LoHvY9k2K6f4+cwxxxxfHrMJwKPQdR0KqbKUsG2Lc+eWiaIQ0zSx7bK9VxqcpkmCXvqyKaqC7/uoqoqqqGi6RpamGIZ5zJJiOBwymYzRNb2acjw8PKDVavO1r32dW7e2GAwOqTdqKIqK6wgX+Hff/Ra2bXHhwkU6nQ6WZZ8qcp8t7P7wD/8DaZqyuNhjc/MVer0ejjM99d40xy8H5sXWHE8Ey7Iru4aZ8ajQPTzsmn5am7JWq6GqasV2tVotLMvk4OCAer2B57lkmfDEkiQJwzBI04wsS0v2S8U0Der1Bmmas7q6iuM4jEZDVFUhivLqsbIsbpyKotBud9jcfIU7d26zsrLCrVtbLCwslq7QKaqqsL5+ga2tm3S7vVL4vnfmdTjqt7W5eYHNzTdYXV3D970HbdZajSQ+u806xxxzfDmc5dO1tLxUMUy6rlOv20zGI3q9HkVRVBYTSRxj2TaGYTAaDTENkzRJS1NnVSzikpiFVuuYJUUYhqRJShiEJKmwkEjihOlkQrfbBWB9bf3YBGS9Xmc8HrK8LIT5j7vHrK6ucenSJd5//ztVxM+TPG6OlxvzYmuOJ0Kj0eDq1c8wTQvTNAnDkPF4xPvvf+eM7Y+3KT/++CM07birsaYJE1NZllhYWADEJGEcx5imwe3bt9F1gzzPqdUMFEWtCqlWq4Vt12g0Gty5c4d6vUEYhoSBj6rpLCwsEIQBBwd7fOtb73PhwkUuXLjIX//1D5hMxkwmY5aXV1hbW6PXW2AyGQOPNj896bfl+35F7ftDES+U5TmHu7vCzFVWuHVri7fe+uap+5tjjjmeDSd9uqbTKbs790GSkSjQdINms0m32+X9b6/hOM4xi4nDwwOgQDcMOp0urutiGAlSLLO+vk5RiOGhRqNxzHFekmA8GYscVgmmkwl5nrOwuEiSJNy9e4elpSXGozFxHBOGIY7rcOvWTX7918UU4ZMYLJ81lNPrLZ5qsDxnu15+zIutOZ4IjuOwtraO53lHJgx7TxyCepaOq9PpsrKywu7uLtOpQ7PZZGVltYzC8USmoTutXORnrUPRnky4dGmDW7du43kOWZrSanc4d+4csiwyEv/Vv/rvWF1dq25QllWj0+nwta99A4CPPvqQ0WhEq9XCcaaPHK0+6bfVbNZoNgM++uinXFq6RJpl9HeFpiMMA6IoYm9vl8Vz51hZXv2Sr8Acc8wxw1GfLjEUc0CeZTSadaAop5XzqlBaXj7++KWlZe7f30ZCKgszGU3XWFtbf+TiqCig3WqTZinj8RhN09BKBsswDGp2DddxaXc63Lz5BWEYlmHWEj/72cdomoqiKI+1bzhrKOeVVy6farA813K9/JgXW3M8EcSEYYtWq1397uiE4eNwmo7rpGO0ruuk6QN357W1Na5evYosK6RpSp4XxHHE0tIy9+7dIQgC+v1dut02pqmT5wVFUSBJkvCmUdWHJg1nNzFd16jV6ly58hqff/4ZzWYTy7If6ch8tt/WHq9dfJ3DgwOKosBxhN2EEO7LfPLxx9TLUfM55pjj+WDGnt+4cQ3f84617iQkwvL+cNp5JXUcAAAgAElEQVTnbmNjE8/zCIOAKAwqycG5c+fE/o7YOsymEPv9XcajIXGS0Gq2qNk1ZEUmSzP0krVfWFzkzp3bwrIGiXarTaMhDE1v396i0Wjw7//9//rYwuisoZyzDJbnWq6XH/Nia44nwlnM1JNG+5zUcc20VZ999vNqMnF5eYXt7bvcu3eH9fUL1Go1zp8/j+e5DIdDbLvG+voFHEeI7XXdII4jptMp0+kU27YxDFMIWHWRcTYYHPL++99he/tuaWa6QbfbJQgCfN/DNC3effc98jx/7Dk8itrvdbv4vleJ+wGyLKPd6ZImMbtn3PTnmOOXFae1sxbs3ld+HL4v4nUM80HouaJqRGGA7/unPqbRaPLmm9845pfVaDSORZnNbB1mzLthGHS6PVzHYTqdkGUZuizalVYpoFcUhQsXLnL92lUkWcSMddod3nvv2/i+RxCET1wUnTaU8/3v/+WZC745Xm7Mi605nghPwkw9DrOV6FGvmskkQpJkBoMBKyurnD9/kYODPfr9XS5d2uC9975VPWZ3d5fbt29hmiaLi0vcvXsH3w9K7ZdFnue4roNt2zSbTTRNY3FxidFoxPXr11AUkcm4urrGdDrhnXfe46OPfkKz2aqo+j/+4z9icXGRosgf0kOcpPZFkSfajrZd4/yFi1y7+hmyrJZZjl1kWaZQVW7fuv1STynOJynneBqclRf6P33vf34hz9fv73Dt2jXC0Mc0bV577TWWy9a8bdsiODpNK2YrSxMURXlksPXR+1G/v8vPfvYJqqKyeO5cNaQDcO3aNRYXF0Wx1ekSRSEtvVPFimVZRrs0NY2iiMuXX2X73l0hxE8TgiAo2W4ZSSq+1HV41IJvjpcb8uM3mWOOB8yUyCj0UFXtmSftjnp2RVFUGpLmXL36Odeufc5gMCRJ4mMO9Y1GkytXXmNpaYnz5y9WXjiSJKHrWmW2WqvVMU2TJEkpioLNzVfY2rqJZdl0Oh0cZ0qj0aTZbPFnf/ZfyLKca9eu8sMf/oCf/ORHfPrpJ1y79jmLi0sEgRDA7+zcBx5Q+5Zlc3Cwh23bx7QSmxubtFodWq0W3a4otHzfw/d8VFXBrtVIy/BZx5k+vxfnS2JW/KZJ8tIe4xwvF462s2RZrj5Tw+HgmffpOFNu3LjGxx9/xI0b16r3X7+/w49/9CPiOKbVahHHMT/+0Y/o90Wu6/LyCqYlPPqSJCFJYoIwwLSsysT4rOf75JN/4m/+5q/ZvndPBFRLErs7O8JcGSFtcF1H2EoAtm2xvLyKYRhEUcja2jpr6+uVV+Dly68CkBcFYRQhyzJ5nnP16mfs7Nz/0sMy77zzLtPpBMeZkud5pTN95513v9R+53jxmDNbczwxnleW2VHPLsMw8H2P4XCE53l0u12yLMNxXD799Ge8+eY3jj3n0XamrmsEgY/nuUgSmKZV2UfYtk2r1SIvMj7++CNarTZhGNBsClf7Wq3O1tYNJpMxtVqdVqvN55//HNd1sW2b0WhUxWlsb2/z7/7d/1LR+rPianGxcczU9GiYree52Lawu5BlmcVFsVrWy9XyaW3FXxS7tFsaRM6O7VHHOMcccLZ+MYzCZ9rfWc7sly+/yrVr1zAtC8uyKtNREIzT8vJq2RJ8k1u3ttjr74FUsLa2zsbGJsCZGqwvvrjB/t4evu8zODwkCANarTa9bo/RaIRlWUynU5Jy8VGr1el0Oti2haIssLKywquvvvbQudy4cY3V1TV2d3eI45gkSRiPR7iuuFfs7Nx/Zn3VWVquuV7r5ce82JrjK8fRgqnT6VaRO4ahI0lim06nTRD4DznUn2xnCuF8jmVZqKqKYZhsbGywsbGJLEklk1VnNBpSFDlvvCG8bjzPpSiEbmymO0vTtIrU+OijD7Esm3Pnltjf33viiZ+V5VXqtXpVNEVRyMrqGlZpqAig6Tq+d3yw4Fgc0hP4dD3PwizwfewTBpGnHeMcLydOy+p70UXyWe0s0zAB96n3d5YjfL+/i+s6NJst4ihiOvFxXI80SUmzhNXV1ep8NzY2sSyrDJ+28Dz3IQ3Wp59+Sq1ms9ffI89T9vb2yPMcVdMwDJPRaCi0nIZZstIeS8sruK5LGIbs7NxnYWERSZLOlFD4vogr03W9iu1ZXV2j1WpjWdaXnh58EoPlOV4+zNuIc3ylcJwpQRBw8+ZN7t69TVEUmKZZ0fCyrNDtdrHtGlmWEQTHBa5H25kiqkdndXWVxcXFcv8O/X4fgLW1dSxL6LeyLOW1196g3e5U1Pvly6+S5zlB4FMUBYqiEscRYRiWrvU2URRx7twSzWaLjz766ROdY6PR5Mqrr/H22+9w8dIGaimYn2FmqDi7HtdvXOODDz5gNBqRZXnFgBmGwW6Z4XbyGj6Ptt/suff397h3927VOjl5jHO8vJi9F5IkoVarVSzMi24Bn9XOmqUwPC18369adTPouo7v+xi6wf3729y5e5vBYIDv+0RxBAUcHBzwwd//HX/7tz/kg7//OxxnWl2HTz7+mKIoRF6hJJHnOePRkMHhIZIknjMIxXtekRU0VXAPaZqSZRme56EoCo2GsKMxDLM8V+eREoqZ4WpRgOu6yLKMJEnU642q3fqk95I5/vlgzmzN8ZXhKHtz8eIlDg/3uXPnFpZlsra2hmGYxwKnFUU5ddpx1s4MAh9Jktnf32N/fx/DMFheXiJJ0or9mkVizCanTo5R7+xss7e3z2QyZn39PPv7/TJzMebWrZtMJmO+/vU32dvrc+vW7WOTV4uLrz/2nBuNRnnTz4WmrF5DlmTOn79w7HpIEiAJfcry8iqWbZ3JLj2Ptt/R515aXuH+9j3u3b3L+vnzqIry1MMPc/xi8ChG6EWyW2e1sx4lSH8UA3eWI/zMzsF1HbHAShLiOEbTNLrdLjv3t2m1O4yGQ+xajcFggKaJqJ68yHFdl1ZLSAdGoxGmZVWTi8PREFVVSZIYVdMIoxBV1dBUlYXFxTKHVWE0GrG2NvPJK6rzAI5d49nvh8MhBwf75HlOFEUoqorneTjOlMFgQKfTmU8P/gpiXmzN8ZXhqDBe1+HChUvEcUSSpPi+J2IzTNFuC8OgMjw9C5Zlk6YJuq6zvLxCnudMJmPyPGc0GrKzu8tKeZOcUe+zouv73/9LJEnGcVxef/11+v0+H3zwX7l//z5pmrC/f8ClS5f4+tffIooi/vRP/zNvvPG1Y5NXvV4dw2ixs3Mff+jz8ccfHWvp7fZ3+OTjj4njiCzLSRIxmfTW22/TaDS5fuNaVTQZpshZU1VN6EVs60x26Xm0/Y4WbDqwvn6Bg4N9+rt9Lm1c4vz5C3O91i8BzsoI9F5gC/ik5cPMOBhgvDN8pEbqNE2WMB093RHecVxkWRI+VpJEGCZoqkaz0USW5JIZtxgMDun2emRpymg0wrYtbLt2zAcwikIURSnlCx36/V00VSNFgkJkrdqWXdpAiPe+yGqN8P2gFORLNBrNikGcHf/R8+v1eoxHI8bjEQAS8PrrX0NVVba2bvL666/Ppwd/BTEvtub4ynBWmHWSJLz55je4dWvrSAvwPJubm9VNb2b9EAQ+lmWzsrJS6bc8z0PTVAYDMQnV6y0AEvt7/WNi1NPG1aHg2rXP+eEP/4put8ev/dpv8E//9CF37tzBNA00TWc6naDrInh2NnkF8OMf/5jNzTf44z/+I379m7/O/v4+WZZx/dpVGs0We/1darU67XaHNE1JkoTewoJw3V8+XjR1Oh12d3ZQNY0oConLMfLT2CXLtkniuGK04OnbficLNsu2OH/hAr7nceUU0e8cLyfOYoQexTB9GZxl+fC97/0bAEb3B1VLczqdcu3aVWRJwvd9Go0mq2Vu4GkMnKIo3N++T5JERHGCIkvkRU4SZ3i+h64bLCwsoChqyRqFIiIrFakSWZoKf61SpF+v14RpaRQJlkpWCMOQ9fVzWJbFpUsb3LhxjSQVx6sbwpvPrtUwTZPpZEJ/r18J8imLsm63+9Dxn2QYFVXl3NIyeZZhVnpSg/39PVZXVx7rID/HPz/Mi605vjI8yhi10Wjy1lvf5K23Hn7cMfG4XSNJHqyKL19+lelU0PeaptFqtdF1gzRNME3zmLPyae7LFy5c5M/+7L/wzW++R7fbw3WneJ5Hu93FcRwmkwl7ezt885vfOnZMwkjwgNu3t9na+oLfeOc3kGSZyXBAnueEYVhpzkzTrAojz3UrDdfRosmyLFZWVznY3wcKVE07k11aOcICaLpOEj+959nzKNjm+MXjJCMUP8N74WnwKAdzgFfXL2MYBkEQsLu7g+M4mIZBXhSMx2OyLOP8hYvYtlUxcEc/3xubG9y7exfH3adW6hGzPEdRFHzfJUlianZNvE8lCVXVSNKE1dU1xqMRSZqWtgzCv++tt9+uchF7CwulDkswYrVajY2NV1AUhcl4QpJE5EVBp9NlNBohScIBXlVV+rs79HoL6LpeFlYm7XZb2EXwMMMoTJUTCgp6vV5VaPV6C/NonV9RzIutOZ47TmOhhMj02YxRj7Yfgern7u4uV668xrvvvscPf/hX1Gp1NE0jTYXXTqvd5t7P71T7uXnzBtPpFMeZ0my22Nx8hXZbtBOuXBFsTr/fx7ZrFIVoZX7rW9/ms89+xsHBHsvLDzxyPM9FVSX+9E//M77vc3h4yL27d1BVFdM0cZwp3W6PJElxXZeuYaCqKp7nsly2Rk8WTYos0+l0HutfVrnx93fxPQ+rDNd9mrbf8yjY5vjF42hG4NGg5RfVAn5UZBXAG5feAIQ+SgTKC1G5aZgkSUIURVWbb8bAnWSFsjxDkiQmE8EojycTFEVG1w0RERb4LCwsUKs3CIOAXq9Hs9lCURQOD0TA9MHBQfk5dI61Mm/d2uL+9n2QClqtNrVajaIouLRxqfLk+ulPf0KeZ9RqdVZWVipmazwesbS0jKKqZGnK9r17rK2vAw8zjJ1Oh1u3bpKmKcPBgCDwuXhxgz/4g387L7R+RTEvtuZ4rngUC3UysseynuyL4az240yP0Wg0S8H9AWEoWgsLC2soslJpI3Z27vPzn3/KeDxClmVUVWV7+x7vvvstlpdXGI/HdLs9fN+jVmvwxRc3UBSF69evYVk2/f4OS0vnyPMcz3O5e/cO9bqJ53lMp04lhpVlGdd1KQrh+xXH0+o4g8BDlhUajUZ13M9aNH1Zz7PnUbDN8XLgefnfPQlOWj4MhwN+/vOfEUURjUaTd19/DxD6qDzPkWUZTdOo1+oMh0OSNCGOwspt/fz5C2xt3TzGChmGiaaquI6DaZpYlkWaxBSSRKvZpFZvcPnVK7z66muVKH0wGBCGIaZlEQYBC4sLwi7ilMidjc0NptMp97e3WVtfO7bd5cuv0m63WVtbQ5r50CDagmnp4SdUWA9+wMMMY5JEpEl6Qk/35dzj5/jlxrzYmuOZcRqD9SgWaval8LRfDE+Sy7ixsSmmjAyjYs2SJK6clX/wg/+v/F2CLCscHg6YTq+yvX2X3/u93+fP//xPUVUFx3FLjZbG+fPnmU4n5HnKd7/7u6yurleTV+fOnePcuS6NRoPJZCyCr8spPlVVsW0bSZLQNLXUhoGiqKyvr9Pf3a2CqWfXYuaZtXvKlNOLwmmvxTy251cDp+UaPgnjcjSyKooiPvjg75Ak+LVf+xf4vsfB4UHJSAkWKoljWguL6IbIEHQ9l4IC7Uib/DRWaDQcIkkSrueRpglp2R6s1+s0W+0q87DRaOJ5Lre2tsiLnCiM0DTt2FQiHI/cAfA8D9OycF2fVqt9TIN1mg4uTROWlpaQFZUoCtF1g/X181Wm6kmG0XFcLm1s0Gq1WFld5Td/87s4znQeGP0rDKkoipe23B4MXPL86Q5PSTKyIHlBR/T8YZoqYZh+qX2MQ58/+T/+4jkdkYCkyhTK2TZsRxmsoy3BOI7pdnvHVoVFUeD7Hm+//c6Z+/ut3/oarYZ+6t+SJMFxpsiKgizJ5EVOnmU0GiL/8Oh2QRCQZimqovL1b7xa3Wx//OGPUBSFJE4YjUdQFEiyOL96vY5t2Xiex3g8Is1Sut0e7VabLMuI4ojFxUVe2byM7/vs7u5w+/YtNF0jCiMA1s69xv/7H/+GNEuRJMGcNeoNwmoCSkfXDVRVIctyZFmi2WyJc5uW51ZGe+RZhmVbeH7Erdv3vrKi57X3uhS5hyLLSIpMkeVkeU6j0UDTTn9tHoXlzS6Krjx+w+cEJYyJ/vaHj91OVRXSNHvsdgCFpJLkX40dobG5gSQ93+dSlpdIFe3Y73zf5/79e+iajqqKtrvreZimCUWBYZh0e70zRfa+79Pf3eHuvbsUeU6z1aLbEaLxQq7zg//tv6IoQoxeFEX1Gc2yDN0waLc7D31uHWeCIivIskKeZ3i+j+95RHHE1Pf54MMPURQVSYJXNi+zsblZMVsf/P3fIckypmnS391BkmQsyyTNMiF81w1GwwFff/Mb1X3p1q0tDMMkiiI2NjYAcZ96/V+8QnuhU30mFVkmy3N8z8MwjcoLLE0zojAkzwvqjTqWZR07p+FwKHy7JFi5fI6pN6UoCqIw5JUy0udFYVHJ8P7qh89tf5qmoqhfjpexbQPfj57TEb14WL/9W3hm46keI8sSvV79zL//s2O2siDh6n/65TGMs2s6vhd/qX1YX1vk8POHzS+/DBbeWIFHFFtnMVgi3uLRLNRpaDV0xrc/PPPvaRThuC5pkqBqGo16HW9qnLqtDORAMczIAhOAwxt/j6qpOM6ULMtRFYU0S6tg6tgwWV1bxfW2kLKMg8Hn+LVaJYSd3L7FWB7w6ac/YzQeEQYBSDAZT1AUhe57bUb9L6pCqygK/KHQbymKwjQMKZCwLLPSiTTUZSGozzKhAymPPwxDBjs+i+ffwK7VmE4n3Nraot1u0+l2X1jhpcgRw3/4wbEba5amuIpC7xnMKtN4Bcyv7hYjt89TDLYfv6GmUiRPtsCReuvA0xeazwJJkvH/n798rvtUL14kUY8f/43r10nSBKP8jAaBz917dzFNkwvnLzJKYu5EIZcvX6la3kfhOA67X1xn2N+jVqvRz1LuJQmrK6ss/9Z/S/DFFpZpkYYBURiR5RmyrFCv17A7HXADTi6HjTjCdVySksWaTqfEcUSaprS+9nqZ7qCjqSrb23d56+23AcFE5UVOzawhSaIF6boOw9EAVVWRgDiKieOY6XRaeW4ZhllKDszqGOI4xqiZ/J//8f/GdR0OBwPiOELXBSsXRRGqopAXBdPpBApotlrIkkSaZWJKsbymgyOf681vnmcwHRBHEaqmvfBp3//hN9/k4JMbz21/b7716pcutub4Z1hszfHV4CwdlWmKSaDZ/59UBP846IZBzzi9uHoSLC8vsb29LXQdpkmWZSRxjGkYmKZZHbNhmKWDdI6hi98fHhzQW1hgt7/LZDImDEPiJCGJo3JKyqumn0xT2ENYlkWaCnG8pmnVjd/3feI4ptNuA2JVf3RFDGIqUDjay4RByHAwQJZloiiq3OKfNQT8UciyFPmE272sKNXE1bPAcZyyLelh2bWyUHy6FeMcAnEU4bpO9Z6p1xvHpkmfFH7gUbMfrMBHoxFWmSsqSVJVMPR3d099rfq7YhrPrtVIsxRN1YjjmJtbN7HenjAej5G74jMgpvJS6vU6cRQzGo3QVI16o35sQabrBt2e+P+dO7cxdBH0PNNXGqUtQ6vZJEnSUvhO6edVI0vFIkw3dKa7gkWq1+okSYrne6wsr3JYiuZ1XadWqzEejajVaty/fx/f95Almd/Q3ieKI0bjMUWeoyoqRZ7jeR6ddpsojpmOR6iKSq1WQz3y2XVdF6MrzqFeFxq1o6/dfADlVxvzYmuOZ8JZOqpOp1dpt55GBH8W4lMYrWf5gtnY2MTzRDxHGIZomkat3sA0DVGAlSvcTqfD1s0vCMIQyxKslDOd4vkeYRAydabVF5DjugS+jyRJFLloDWZZhlWyWSKyI69aF5IkQ5ESBIH4Eilv1LMVcHXOSYJe/m00GqGqolgLo/CFhkQrivrQseRZ9lAx+KQQxo/Xyy/mepn3eP1MxmSOsxFHEcOhYGt0XSfLMobDAd1u76k/D7ZVI07iqqiqzD6P7EfXdDz/9IzDWbHW6XTol2HL0+mULEvJMsFABb5PkRckaUoYBgwGg8qfKstyhsMh3W4XXTeIj7BamqoRBAG2ZaOU+qiZ0qUoclRVRdV0Pvv5p/zkwx8znoxRZAXbtlk8d444ilEURSxWVBVN12g0GsiKQqvdrvRcIpLL4s6dWxSFELU36nVcx+Xw4IAwCER8mKJQ5DlhEOBpGktLyySzz+dRAb2iEB9ZlBi6QbfbxXVd0rIQnA+g/GpjXmzN8Ux4lI3D85qOEl8wQxRVQdM0sjx7cJM+4wvmaHF24dIiSRpXx/Pmm29i12zu3r1Dza6xsLhIkiTc396m1+sJC4eDA6bTKbpuEAYhuqGjqAoSEuPJmDSJOQgC8jwjz3MURegykCSKAmE9kWVo5bEUBVBQsUN5nqEoCoqikGcZYRhWU4y6pqHpuhDWl9qQGZMxM3AM/ADTMvE9j93+DtevXcN1Her1Bldee42V5dVTr8uTwLIs0iwjSVOSWAwTIEksLS09/sGnIAgCDMN8eFiifzpj8rwQRzGO6xwp0BvoxlfTCnxREHE1KkrJPM5+uq5D9ymLreWVFb744jogiipZUQijkPXFc9U2cRJjW7VTHz8r1mzLZnlllZs3b5JlKZZll5or4TPnlO/LLMuI45jBYIBt2xWTfO/eNvW6yDE0DFN8xrO80kkahoFfFm0ARSExHI0wDbMsEFUM3SAIAxx3Ktzek6RkwFoslsL8ogDPc1hZWWG5DJVuNBrs7AhHeFWR6XS6KLJMHMeMRkNq9QZyqemUyoWR63osLVEe5/FFSXbKosTQDYyuQbfTY3Hl2T5Dc/zzwTyIeo5nwtFAaN/3UFXtube2HNdFUZWyoJFQFBVFVXDc01fcs+Isz8WNL8/zY6G8jUaTt9/6Jt/97f+G9fPnKUrx9/vf/jaaqnLnzm0Aur0ei+fOoc5upkXBweGBcKaWJKI4Ik4SChBTiGWrIytd4vMsI4qiagU8Kxbzsi0xayvmRUESJyiygq6J3Dff9+l2u0iSRBzHeJ5LGIZIkoRlWfT7O0ynE8Io5Mc/+hFxHNMoR9d//KMfsdvfeebrrWk69Xod3/erVpVt27iuK4J/nxJpmlZFY/Ucuk7gv7gomTiKGZbGspquk+c5w+GAOPpyushfNJIkqQqsGZRnbPE2Gg0uX76Cpmp4vsvCwgLtdqdqid+5e5utrZsEgY/jOA89fnllhclkzJ27t+n3d4njkHq9werqGnkuiiWALBMB1a7rUBSC+Q0CwXLlWf4gDDoIBAOMhKooNJtNwjAkTVMsy6KgqFzpG/U6fuCjahqGYWCaFvVaHZDxAx/TEFOCsqJwWH5mwzBAlmSWl1eOeXpNxqOyrWgIs2FNO3JNTw5mFSCJ39XrddIsI0tTKAqyNCXNMur1s8XRc8wxZ7bmeGa8aH+f9BQ9kyKf/QVzrDgDFFnGMIyHWm6nWx44vLL5CrphsHN/hyxL0TSN/l6fOIqgKITYXVYIg5C8yKFsVRiGgaIoSJJEksTkeY6BKNqSMjhXKdsRSVGglzqxMAxRNZU8L2g0xfFkaUpRRoKMw7TartlsYVk2YRhyeHBY6cJMyyKOI4LAx/c9/vEfPuB3f/dfP3vbNo5pNZsPi+SP6FGeFKqqCpf6o63mOMayT2dMngcc10E5hQFyXIee8fQi/2q/jwhR/ipQsSlHCq7T2JQnRaPROMYuOo7DrVs3uXv3DrZd4+KFiyiq+oi274MWmqqqZJnIJV0ojydJEoqiIMtyQEKWFZIkpShydN0gSQVzNtN8hUGI1hCPrdVqpZ+dJ97npsXy0jIFkCYxIGxWZsyTpmnIUYSqaCwsLKCqmmiDei57/T6aprFUFlrD4ZBeT7wPZuWUaAE+KMaFMXKKpEpIskyR56RpSrN8vY+2COPyHtVttaq27BxznIZ5sTXHSwu1bB3OiicQ7tLqGV8wpxVnTxrQ/FBOYX8HVVUJfJ8wCqEAWZaJixhJllAlFcM0AAlFVUjTFFmRsSybTqeD4zjV6LzneoRhgCTJKIpMq9VC0zSmkylROXEVhQGmaVGr18gSMSmm5wqvv/E1wjBkb6/P3t4eUGBZNkEgfIa2t+8RRUJ/Uq838H3viQT0p/lpweqpgv2nFclHcYTrutjLKvfu3WVhcVHYXMQxURS+UJFwmiQPsWnC8uPZma3HhSh/FajXGwyHIvtTURSyLCNNUxqNBsPBIUmSIEkSaZoShrNswDrnVldBfXwLtdFoYJk2m5uXHyoaTgrl+7u7tFotzpVtRz/w2d6+y3A44DVFreJ6pKq1rpb/FsWXOM4M0zJxXZcgDCo2zLRMJEmmUW/QqDeI4gjV0Cvn9v7ufcaTCZ6Xo2mayCuVJIoiR9NN6o2m8OkajcprEbG2fp40Tbl58wtGoxEH+3uYloVE2erWDVRNE9FAWUan0yUvCtIkIU9TJEnCNC3anU51DWYtwjnmeFLMi605Xlo0jkz0KLJClmdkaUar2zp1+9OKsyfN+zuWU2hbtNtdbt36As9zyYuCIi9QVSG8nX2pJUmCaVr4vi/aVppOu90WmpQwwvd8Wu0W7U4baBOGIb7vI0sSSZLg+R5xHAsGKE1JPZc4iWmXk4qq+qBIyLOcXq9HQVG2ysR1kWW59DQSbct2u3Mqm3cUx1z+a7VSuH6D7yabot15ikheQoyzP5iEEy0T13Uf+t1wOERVFOHkv7jI4cEBaZLQ6fZKTd+L02upZzBAZxXoT4KTcTKnhSg/b5ycPDQMA1mWmU5FS7xer9NoNHAcoeWSJInxeEwURdi2LexGplO08QglzZ/omp+cUoTThfInt7Mtm0s3MFMAACAASURBVPW181y9dpW0FLnX63Ux8VsWgYqikqbivRzHEYqiCmYojslKbzrP95hMxxiGyerqKrquM7o3oomEomoEvkeSptiWTRAGJImwiVAUFVmSsG2x0LEsC8uyuJskKKqCV04Ea5pOlqb09/osL62Q5TnT6QRN01hYWKQoCnRdZ2FRpE6cfG/Pmas5vgzmxdYcLy10Q9D1TnnTUzWNVrd1pjj+4eIsf6Jxa8eZEgYBd0rhfL3e4HBwQJEX9HoLjEZD4ly0RWRFQSoKVFXDKpmtpGxrGIZRFWF2zRbBu6mwU8jLsfqlpSUhwh2UPjylWB5Eu040SQQsy66y5GbFQpamVetyOp2ABKqqIQFJkmHbtceyebtl8TC7jrOfQRAcG1mfHXdY2mLMolfyLGN/fx8A0zCq3w1L129VUVBKq4tWs41lWqW/0JUT1/3520I0TmGAsjSl9Qw+YTOcDBkGqhDlF4GTk4dRFHI4OKRZsjZZOVghYqGKqsWYFzmqpgrz0JLdS+KYj3/6Ie12G9uqsbxy9jU+OaUIMJ1OcFyHjz/+qHr8adspqsprV17DtCws2xaLgli01IXLeoEsK0BGluVYll7pGsU2SWnzIFjUnZ0dWq1WORQgE0UhQRDQ7XbxPJ90IFqSwqJF5pXLr6NpOrIsQqbjOMbzPRRZwY/EYigKQwxTTB0PhgMsy6LX7ZU2Kwq9hQXanU51XnPmao7niXmxNcdLjafx1zpZnMmy/ETttBnLc/HiJQ4PDvji5nW6HRFu6wc+sqxgWaqYPpQVojhioddjdXWZWq3Jzz/7FEmiYqnSJMWyLVqtVtWCEwOLIlw3TYX9g1ROIOZ5LqwjSt3XTEuiaWLo4B/+4e8BCcMwWVhYZGvrCzzfI8szKISbtaaqNJutKlTasu0zo3eOtkxn0HSdLEuP6VFmq3pN01BkuWK7FFUlLYcUlHI/s79NnSntduehffvecXbEcZwXYguhGzrdbg/HdUjiuCzQe6dOIz7p1OJp8S2zEOUXgZOTh3GcIEkyk+kEvXTyT5KEJE1o1BtC3+R7YopVFewuCEf0KI4I/IC11XXi5PRr7DgO/d1ddvs79Pt9TFMY+aqqyuHhIetr69TsevX4leXVahAjS9Mqoqder9NOEnzfqyYQNU1DlmWR7JAKDeJMEyV0XULTZdt2lS+qaSq6plWMsapqbGxscP3aNQLfhwKWl1ZoNpvESUyr1eY73/n1Slc3C+Q+d26JGzeuYds1dE3HdRziOEZWFCzLYnV1TVyjKGR1da16r88xx4vAvNia46XG0/hsndzWsqzHfnHv9nfJi4LDwaC0VzCp1xvii1SScF2HWq1WTePZto2mlXYQksSt21uYZYsny9Lyy0LDcRzarVZVaMXlNNlssjArW3NCPC8z47OOxptAGbJ9aYM0SdBL64fBYCC8e8r2URILdiBJEpTS/LTT7fLFFzfIiwLPddnd3eHW1pZw3pYk7t29S5bnGLpBp9NBUeSq/XpSj9Lf6z9kdpqkqdC0FAWqomJappjeLKSH2pCnieIFu/ZibCF0Q3+sGH42tSi8mE76Vh0vuE6GDMfx8zHqPQtJklTMFIj3SFIKuBVTwQ/8SuMk7EcUVFUVhYQso8jitYriCF2SqdVqZ5qVzoreIi8Ig5BarY7ve4zHwrx3fX0dTdfZ2d3BdR3CMGBnZ4fz58/jOg77B/uoqirinArRspVluRzqaJLnOdPptLI8Edtq6LrOZDIph0oSkkRYRsx0XrKiVK7xjjPlxhc3S7ZPQSlNUVVNK328hEbt5ODLJ5/8E6qqkWc5Rfn2DaOoOpa4tFwR78MXx1TOMQfMi605XmI8jc/Wads60ylQPJLZGg2HjCdjdE3HLN3jwyBkzJiNjU32+rulC3aGIgt2K8tTPM8litsURYFl14QthSJiemasmizLyIrCdDIlzVIUWammqAxDF1ONeU6Ry6XWKK1yFI9i5ciX/WgkrC0kSSJLxfh8gbBZ8DyXer3G5cuvVkXk4PBQGLjW6oRhyE8+/JB6XfzbtCzSLGF7+y7tttC6nCYjP6njmk1YypIkLCzyHNd1sCyber1GWhYCBUKfc5ooPvA9JFnmcOdQeCrpBu1OuyoqXrTz/NNMLZ4MGbbtxxv1npxenOmrnmSa8eTkYZZnQmiuPhCay5IMElUQsqEbxFFMmqTotl7ppRRVpXNE2D3TYM3YrFu3b6GqSmmVIaw+bNtCUVR8z8P3PDxX6BY9T7Bn0+mENFlhNB6xurKK53nVVKEsy3iej6LIQp8oy8ICpGRwsywjCAJ0XRdDJeXnRCwWYqG/Kv8PotCsKSq2XeMg38cPYs4tNtA0g7SceDRN8+GLiFi4rK6usbX1BfEoIc+FNmzW6j48PKBWr3Px4qUXylTOMQfMi605XmI8ZOVQ/nRc96HW4mnbyoryWKd1wTQ9cHNXNY1arcZkMuZgfx9JlhkPDkmzHEWWsWzh66PrelnIGCRxjCQJ0bKiKDiOg2mYVXGSl87XMy8fsYKXKZiNzWcUpUGqaZrs7++LLxmpxs3bOwS+Lybq0hTHmaKqOqYBYRSQ50UZHK1gGCaGadFoNNnaulkJg2fnZpoWo5Ewljx/4QKj0ahi82q1GpqmE/NgmnDWRtR1HbdsG8qKgu95qOqDL0VZlkmShNFwKFy6VZWsHJd/4Jx9olCSJLa372GZdlXkbm/fY21t/YW1GI/iaacWZ6zJrIja2rp5ZtF0cnpxOp3y+dXPWV9bo9lsMZ1O2Lp1k3arQ7fbfWgfJycPZwkFswGNmSZJURRMw6QoCvI8p16vV1YheZ5Ts2vYloWVPvCMipMYSZKq6ytJglM9ODjg3OIilEzQYLBXncvq6prIBZy1kRUTz/Mo8gLXc4mjqNJCifdCRJ6LhcfsfSKE7A/YUeHNJ4KnZVkqhfRytY88y0CSkJDQdZ21tTVAIgxcglAU8LpusNA6/rocLWalkpleWV7l4OCAOI4oigLDrFcO84ZhVlFY8yidOV4k5sXWHC8tnsZn67RtZVkWGo9HwDRNwjJzUFU10lSsllVNJU5i4jii1e7g+z6GrmEYFhcvbWCZJje3bggvIEmhKCAMQrJcaFVE+8PBNEV7LUkS4iRBLtmtJIkp8pyidKeu2TUKiooBiKKI4PAQx3HQNI3DgwN838MwTHq9Ltvb90RBp4hiLc9z2u022/fuYlkW+/t7DIcjegsL1Yc8TcXzZ1lWTWyBYABmgvoojqppwhmj5bquyLYrXeXzvKjYkjAMiaO4GmCwLIsoivD9B60ueJipmkwmTCdTXMctzSlN4RvJl2sxPqkO61mmFp/UAuLk9KLnuVimiet6aJrBYDBAluRKID7bx4yfEdrDHq4rNEaGbmBbQtMkROdFNawwm4zVymtfFAXtdpt6XVynsDTh1TWdOBHWG4pcFua6IQrdLBUDF86UpiRxOCjZULvGeDxiPB5RFGIKc6apur9zH9M0SdKEdqstjkEt9YcFVaGV5zm6rhOGIUWRY5k1wvK8m80WUKBpOkWe4wcBYRiU5roNps4USRLFFmFEp9PhMI3IC7h06VLVzm00Gqe+LkmSQBnFY5omdk1MHPcWFlhaWmY4HOI4U7R5lM4cXwHmDvJzvLSYWTkcxVk+W6dtm+f5Y20fOt0uCwsLKIrIHlQUFVVVWegtYts1VpZXWV8/X47aN1lYWCAMAizb4o3XX0dTddEqiyNcT2QlHm2NuI4rcg3LrDXhhh0LDZeqVoxYnMSVSaOqqMJZXlEYDYf0d3eRJAm7VivbQ2nVTkrThDzPqNVq2LYtBPhJwtLyClBwsL9HXBaTaZpU7NtRHLXHcF33wTShJKGogqEYDI7aPtSQJQlNE7lzuiG+zGYMVRCIvMg8y0iThE8//RmffvoJaZIgyTJbN7/g889+LlgxRRQd0+mUhUUxfh/43qnO86PhgOs3rvPxxx9x/cb1h9zNkyR5Yvf4Rr1BlqZH3M7F1GKj3iCORLTMXr/PdDqtEgiOFlGSJFX/7vd3j+3b9/1jreAoijBNkziOGI2GqKqGaQoz2rP2oRsG3d4CS8srrKysoqoqtm2j65pgq0wLQzcqK5KZXks/ct4AzUazcorXVI3Ll69QUFRC+05HLCTSNGEwOGR7+x5pmgqdlyyxtraOoigiBD0Vi5yiENFOQps4RVEVkjghCILSAqVMSyhZrZkOUZYVCsQCp9Pp0m53aLXayCXLO2Okup1OtfCwbbti1GzbYvHcIpZl43leNUDiOM6pr8tkMmb9/HnxHqaAAnqlxYNlWSwsLHDlymu8+upr80JrjheOObM1x0uLp/HZOm3bPMtKs86zsbK8gue6LCz0qkm+m1tjVtfW2NvrVwHVpmESRiFdVRMmpwjRexSFpFlW6bEkQJYlPM9D13SyXOS8SbKEZVrkWU4QBGiqKqb6SuF8URSiHWkY2HUb1/WwFIXxeESvtyAKzEJEoFy8dFGE97qikGs06tTrTUajIY1GsxL7Nxrid4PBAcvLqzRbTeJIRJHEUVSd79EWyklT0yRJRKhwUaA1GuRZVgXumpSGp7FoTZmWSRiEZWtIJsszdN2oDFjr9Qb9fl/EqpgWYRSSJLFg/zSd4WDA5iuXxfOecJ6fTieMx2MajeaZrUU/CJ5Yh3XW1CJwTDhf5DlfbAnm6aQFhO8HjEaDquib6bL29vdQFYXFxSVs28IwRNi5YZhlgSWK0hnzdVScfdJfq15voBsGjUaDw8NDptNpJTI/eo5H/30sN/GU9/xp1g2yLFOvN/A8r8wHVFhYWKDb6VZMmOu6JUNVUK/XUVWVS5c2hN+cZTIcDslKE9BGo4EkyZVOyzAMdF3HtmtkWUq9Xsd1XRRFpd6ol5mIaRVODULvNxwOybOsap1Kksy77753rDja2rp5qjUHhbBkWV1dpd3u0O/viHSHkqGbtw7n+CoxL7bmeGnxND5bp23baDYf23aaiZ93+7v4nodl21y8cLE05TQr3ZFpmWKMPgwwDYM4itjf30dWFDr1OoZhoCqKCKTO87LQ0JElqVrtW5aFaZqMRuNKlFyUmhFJkshK3Y2maailRxRI1co+TYWzfLPZYmNjkzwvCMrJtJlfV5omDA4PyLIcRZGxbRtJkglLncu5pWXOnTsnxNrl+R5toZwUw4ehyIPUVK1iukwgK60qZtd6xuR4ngtISLLQ2wAVezQajcpWU4FhGgwHA2y7RppmyErO/sE+b7/9DvV6vQpKnhWEhwcHLCwuPrK1mJ3QBcGjdVinTS0OBoNjBZssKxXzdNQCwvcD+qX9gdAMOZUua2V5hXvb99jevsv6+nlqtTqj8Zher4frFoRhQEHB4uIa8MBGIkniY/5aswnJRqPBaDQq8wVlwigky1JqtbpgTz23zAc8ft6+7zN1piRp8pB1w63bWwRBwHA4pCgKYZWwuMTtO7fI81xEUykKw9GQeqOO5EocHOyLKVpJLjVTOo16Az8QTN7CwiLtTodWq8V0OqXZbNJo1ImiCKe0XcjSlFpdaB673S6uU2oDVY1Wq3uswNZLG5JMlqvBhM3NyyjKcUH8WdYcS8tLRKVHnGWZ9Ho9Dg8OMUpvuHnrcI6vEvNia46XGk/rs3V0W019Ms+ckyPjM21OrVbj8PCAJE0BifVSvG0YIt7DtizSJGFSapmAByvwsn0iJsckFFnBcVw0VUVVhGCYAuqNeuXvM3OXL4oCTReaokajTpKmSIhia2FhkSSO6XS7rCyvHPPRCoKA6XSCaVrVl7XrOiiKwpUrV6rC5fatWw8xAQBJIs5jOhGu2jN3+RlrNYOsCMPYXskERbEoPGfTarNYliRNuH13S2jANBUrSWg0mmiahue6pQGrRhRFWLbFucVzOK7DysoKy8urXL9+VRQZCE2eZYnzskzR8nzIv0uCyWRcmlSqWGX0y2lt55PaLkM38HyXg/0DZEXBNE3qtRo6D5inzc1XjkyFijZdgcixHI2GlS5rba3NhfMX2N/fo9/f5dKlDb79/rdxHMFYBWHA4sI5kTRwhGEJguCYv9bs597e3oO2nCIjpSLuJoxCLNM6Nr03wyzOR5GVByad5c/9/T1mViMzLdXMNNSyLIIgIIpCVLVHmqQ4jkOn02EwrB0rBKMo4v7O/dJipYmhG0hIgg1uUrU2ZVkU/YZhoigyWZZXU8Xd3qMtOnTdQGu2ePtt4epeq+l43oPi2XGmBEHA3dKQeGFxsWp7Xr78KkA1RdpoNOctwzl+YZgXW3PMcQJH2a40SYRNgmnS6Xb5xjfeqqaf7t27g64bgqkoCvEFl6XkRYGhqoIVKkTItKIqJKHww1LKeB5D1wmDgOlUCIG73W5lHWEYBrXeAisrq1U48NLyCooiM5lMsWs2W1s3sWybzc1XAPjJhz8uDSVTMSWZiJaUsK7I0SWJLMsZj0cEQcDC4iJbN2/y4Y9/hG3brL/2P5LnOa12G2fqsL+3B5KEdWK0Pj8RgGzoBnqZLUdRECcJeilAH41H1Op1sjRlOBziug5pmuF6Lt1OB8MU2p8szcjyjNu3btGoN+j3d6g3GoRRJMxgxyMcx2HqTDENiwIxhdlbWACEAD8tHfwF8+IzmUwwTYPVlbVjxx+VDu2zVmEUhezv7SErMooqhh183ydLU4yVtGKejlpAOI5Do9Gk2+1iWRb9flQVTzOoqkYQBADUanWWl1fLY52eaiMRZKczc37gU6890NoZhkmSiPavWQrdPd8rmcxaNf0300wdha7p3N++x9r6eRr1Ont7e8RxRlHkDAaHNJstGo2GKKbCEMMU+qfxeEKn3cFxp9VARhiGTKcTVlfXsCybw/AQxXWYOg6WaWKaphCiDwbIsiKYX6h+uo5Lt/fsLu2nGRLfuXObCxcuHhtamBdXc7wMkIqiKB6/2S8Gg4FLnj/l4U1Drv6nn76YA3oBsGs6vvfsIbkAzTfOkUjP92VsXeyBpjx+w+eEpa5Ksv/pc92npqnHzDWfJ67fuEYUBdy5c5fJZMJrb/4uRW5AUSApMhKS+PIutVxaqbmyazbNZosg8MvWkJjamhmUzpgfAMlokeYKvu8xGA6JSkPUMAyo1YRmZuavBRL7+31AIopCwjDCNEWRJcsyi4uLdLs9hsMhvu8RRUJbNbNuCAKf7/7Gm4Sf/g01uy6YNwlAosgzCqBWq5VfshG6rmMYRiWUPjg4IM8ysjwvTVwjwjjks2uf8/prrxOEITeuXy0jV3qEYUgQBiLmqGwXabpOXIrlTcsSAw6mhaqqDAaHTCZjZFmh3miwuLhIGATYtRqdToe9/h5vfOd3qJk1/FIjNvMBM02LZlNc1yRJRPxSOX1q6DpRHBOWwckiHkcUTJIk0VjdYG84YW1t/ZgPkxCSPyg6B4PD0jFdp9locDg4FI7umkarJfzDTu7jJKLJhOlffB9ZeVAg5WVxbJimmGAs7QugIM9ydMOo4p1mk4m1ep1GvUEQ+IRZxmDygP2bTMZcv3ENRdFw3WnldaXrRmXHYNt1vvHmN0RcVByhqRq3b2+hlsMSo/GY6XSMLKsYhk673eHw8IDFxXO8/nu/D6pV6bQMXcRKqWW+o1pasxQUVZB24AekWYqqqFi29RAjrawskSkz+xKNMEwevAZZ+pDGUFVU1tfPP8Gn+GG4kccf/e9//kyPPQuyJiMpX90s2m9953Wa+vO7722+8v+3d+/Bbdz3vfff2AWwWNzvIECKoqi7LcuSL4/je9zGtWzZiZvmj9P0xPOkadPJdDJt/ui0aaZNJzMZT9LkOZMmp3OeSf9wJ5Mmk2ba5kkc67gnbZImjuObLEu2ZF2oGwWABAGQuC2wi8U+fyywIkXqLpKS/HvNeGSJELDiEuJXv9/39/kOL8r+u1yKz0OnfenD7FdbT/GhuS5vmoAkuUgkguf9uFjZugnUDk5f8+dcu3kNhJcOC1wOXq+OrK7c610trdUiHo/C2jGmikWOH/4v6vUaqupnw/qNHDl6GKXf99Jut4nFYgwNZdHqPUYyOylOvkuvnwqPCaZpN0frLQ+bNm4GQE4kqXe8KFEfsZy93fL88z9E01oL/rX+wgvPUypN0Ww27WBXWbJXEtwymtYmnc5wyy23Ui6XefPNN3C5cOIC7H4vN3Nzs+S++iyTr7yEhUV2KIvfH6DdaTOUGaJUmqbVb+xPplKEwxHypTPMlEr4VJWpYpFAIEA4HKHb7VIsFojFY2TSGVTVT7VaJZsbpq1pBPuN5FLdLkpT6TQuXLRadpP4YOVE73Tsk4248CqKs1JTm5sjEY+TSqcpTU/3507CkTd+zlSxaAfHyrK9ZevxMDQ0RKMfw2Eno2tYuOh0OrhcoHi9GEYXgMzQEHpHp9GwA0g3P/EM4dxGrFiG+fnimhphz57nCYcjBAJBJidP8+tf/4otW7Zy4MB+qtUyiqLy/vf/BuvXb7C/Nk7m2b37qfN/Ubk19h05gqZpTh+eqqrIsszMzAyqqtJutykWC3S7Jl6vPUDZ6/EwlM3h7xdHNaOH5QtwfPKMsyqaSqYwDIMTJ0/YERduD7qu908zSgvmKVpWD59PpTMvkFbTWpzJT+LrF7+hUATTNEn0twEty96erH/vn5Blye7LUxTGx9czM1Oi0+4A1oLr7BoGhZ5px3x4vNRqc5RmSkSjUeKxhHPgIPiBh3nj5CQ7d97B7Ru3UCrZBxJ+8f/9F6lUZsHqXa/Xo1Sa4pltv39F72up2kb23djfFn/+60PX9Pl+d2yUqO/q8u38qRDNUv3iD7yJ3dhfVYKwStR+U66qqoytW8cY6zh18iQAsXiMVCpNrV6zT6F5FbJDOWRZwt3fkjvffMKlBkjn82fYu/cNyuUS+/e/xY4ddzDo+69Uyhw7dgSv18vWrbfw1ltvcerUCaLRKKYps379enw+H/V6jX37Xnea7S3L3oaxE7sNAoEguHDGpwxGoGhamyJFFK8XF7BmzahzwrBYKNDSWhSLBbyKQqlUsnPHZHulrDnZIJcdJp8/Q71RR1VVgqGQva2XhZbW5O0DB+ztOsVnF1SyvVrX7rTxKSqzs1V75aXfiydJEm6Pm0azCS7wqf1VFJ8PrdWi2Wri9SpEIhEMXafVatmBsf2Vw25/O1NV/ah+O3epOjtrjyhyBnN7CUv2dtpQNks0N7zoXhw7dpjTpydpNuuAi2AwSDye4OWXX2Jubo6RkTXEYjEmJo4Si8WIRmOUSlOL7ut//Me/8+ab+3C5LD790d9dsA1pczG6Zi2m2aM2N8vsbLWfp2X32DWbTdJj4/hVPy2tRbVaoVKpMHH8GKlkirWjY5RmSpw8ddLO6/L7CQQC/ROULiTJ1Z9I4GHNmrV0jS61eo1mq4GrP2B9YuIoLpcLtZ/1pWktvF57VXMoM8Sp06dwu93OtVsWzlxExasQj8XJF/K4cFGtVvo9Ve3+8HZ7G1TTWsyUZ5z8sXq9xsFD7zAyPELSp6JpLfbseZ5EIoii2KeRE4kUzWZjwT88ms0GiUTqEt7BgrCyRLElCFcgO5Tl1KnjuFzy2eHPqgq40Dsd0pkMum7HGoyMrEGWF6ZUD77Rzz9ZOT/vaiCfP+OsoKRSGRRF4eWXf8m99z5IIpGw+7ZUP16vl3A4yu2370DXO2iaxtjYeh59dBcuF/zoRz/ANC3C4SD5/BlarSbdbg+Xyx5nNDo65hyx97g9TPdPntmxBfZ2n9bWWDM6iheFqakp6v1+sMF8Pl23Vy98qkrPsjD0rj3jzrST77uGwfj69Whtewu12WziU1XiiQSRcJTj/a0qO5NKx+dT6JpdXCZ0Om0Mo0u7Y2dTzVbtQMpUKo1f9fe3Eot43G56ph37AXYzv6Zp9senp2k1m7gkFy2tZZ9K83pxt90Yhh1EW5qewuh2sXoWQ9ksiXgc85x7YZomJ0+emjdmptuPTgiwbt16Tp48TiwWI5XKoGkt9u3ba2ettXWef/6H7Nx5BwDf/e4/9YuxOGBRKBSYm5tjfHw9ftX+Oujo9km+bdtu4403XiNmxZ2t09lq1dmObWktioU84KLbNajV7MyxVCpNJjOELMtMTk7aqfP9oF1Na1Kr1e1DHJJErTaHJMls3ryZdevWOynzg0BURfER8PvtU59uN+lUGlX1o+v2eKp4PE48ZodNTJ457TTtq6qfXDZHpVqhXrcT3desGWVi4qiT91WtVu1TuG4PnXabBk1Un9o/dHG27+rVV1/lgQc+AMDOnXewZ4+95RcIBGk2G9Rqc9x33wPX7H0uCNeKCDUVhCsQCoXZvHkzbo/HHl/j8bBt221s27YNt8eD1esxMjLC8PCIPWqlH8A4+KaRHcrS6XTQO3YPjt4/lXZuLtjevW/0m5bDSJLErbfehmXBO+/sp9frMT09RTweJxwOo2ktgsEQ27bdhqr6uP/++4nFYv28piC33HILlUqZcDhMJBLF5bIbwQeBmYPTbmavh9EfkG1ZFpVqxd4iqtU4sP8tNK3F7GwVr9fuF/J4FTpte2SLJEmoqp9oJEoiYfdmmaZJNBJFkmV0XefkiRNMTRWZ7a9ynDh+nLnaLIrXi9a2e6fGxtahqv5+Bpcbs2siyS68Hq8Tc6HrHcozJWKxGKrPXrFRVZVez8TCIhqLARbtdptOp4M8L2Bz0F/WabcJBoPkcsN4FQXDsE/wRaMxlHP6VAb34ujRo0xPF5mcPM2xY8eYm5slHk9w/PhJYrEYIyNrmJycRNNa6HqHffveZHZ2lp07dzorNP/xH/9OpTJDPJ7A7w/g9wfB5cI0u1SrVec1vR4vLa1JKBQiGo2yYcNGhnPDToE5SP+vViuAy+6Va7edXrVarUaxkLfzr7D68SBdFK9CKplxTsIOtpRN0ySdylAsFJxVp8EQ60gkgqr6ed+99teV1M+Hs08Y2quTFhZG13Du0YCq+kkmU2zauJmNm+xstEHeF9A//eim27W3k1gf3gAAIABJREFU1vXO4MBB23mOQCBIqVRyfp7LDbNr125U1U+pNIWq+tm1aze53MIDEYJwPRArW4JwhcLhsNNfNd+lnH5aKt9rqdyfcrlEKpVxfh6PJ7j33vvZu3cvpdIUiUSSbDZLIBBiYsL+xh8IBPjgB3+bXG6k/5gUDz74MP/yL9/H7XajqgG8Xh+GYdDtdpmdnaVcniEai9NJpewE8nKFrtntn260R654PB4q1QoTxyfsRmTsHvpEPEGhmEfuJ4S3220kyUU8kcCyLNaNjWNhUSnPUCwWKE4VkGU3oVAIxet1Euoj4bBzStLuhQrg8divYvce+el2TTSthUfxOuGUsixjYTnjY4LBMK1W0y5aLHtb0O8P4FNV6vUaZtdesZMkF+FQlEQySaNeJ5cbtk9QVqt2ppqmUSjkSY+nnHshy24OHnyHSCSCy+WiXC5RKJzB4/HS6Wi0222SyTSdjh3KeuDAW8Tjce6//0Hi8bMxBy+//DKSBNHowiHR3W4Xfd5Wom7o+FV72292dpaTJ0/S61l4vXbgaTAUxDCM/unIEC7Jhd9vb08PxkK5PR5KMyUymSGarRbT01OYpkmtNgdY/f4+Nx6Pl1QqZWewaU0C/rPNvprWclamALJDOer1Os1Ww87TCgaZq9WYmZnG6o/I0TSNublZwuGIMypofojoUDbr5Kl5FYW21gYskskU1f6q3fwh081mg6GhhVuEudywKK6EG4IotgRhlczP96rXaxT6A45Vv5/sUJZo4mxfimEYTEwco1azM7B27Lid//7f/29na8vr9XDnnXcxOXmKgwffYXDI+AMfeIxczu6b+sd/fI5MJsvs7Cyl0hSy7OaOO+6kXq+zZctW/H4VSZLJ5YZpNVu0tBYejxdZ7jm5YLIk09Y0LMA0u8SiMfz+AIFAkEajTsAfQPEqqKrPPonptlc3Btusc3NzRCIxJ6upVq8TCtnf1G+5ZRsTx48xNTVFeabM0FCGbdu2A3B68jRG18DnU0kkEngVr5MJVipNU280kFx2oafG/KQzGdrtNo16nW632x9R4yGeSDJTmkZRFMxuj0QyieRy4fPZMwKLxSIetwefYhduU9NTdH1nyOWGSSRS/OpXvyAcDtPptO34CNmNzyczNVUkGLRXXoLBINnsEFu2bOH06RM89NAjCwqtQCCIy2X1Y0PaqP0tQ6/itece9lcUdUNnbm4OWZI48PZbaJo2bzSNz4kb+b/uvsfO8Ooa5M+cIRKOUJ2tYg4iOix78PO6u++h2WhQLs/Qbrf7JxHd+P0qmfQQkizRqDeQZZl4LOGkzGtay+m5CoVCGF2DQjHvpPcXCwVeefXX/Qwue1u52+2SzWYpzZQwugbxWGLRQPJQKMSGDZv6q2gKmqaRSqbAsmi1mkxPT5NO2/exXq9Rq83x1FO7lv19KQjLQf6bv/mbv1ntizgfTdO57GCKTpeZQ4WLP+464fHKGIZ58QeusOTWLCgrV4srbhNLm1mx17sWPJ4ru3f1eo2Tp04wOXmaWr2GbuicOnXS/qbfD0otlaaJDm3AH0ryy1/+grfeehOPx4Msy8zNzeL12tlCudwwmcwQMzMzHD36LkePHmHr1ltZt26cVqvJ22/vJ5MZIpcbZv/+fdRqNTStRTgcZmxsHZIkk0gk+c3ffJSt68fwd2bBAsPoUpqZptNu28OPTZOeZY8l6vV6ZLM50qkU7XabatWem+jCxbp168gMDTE3N0vXMEhnMliWRafTxiVJlMtl+8/RH+kDYOhGvzHfXg1KJJPIssT01JTd62Wa+BQFs2sSDATxeNx0uybVSoV2p43b7SEUDNo9aLhQvF779/h8pNJpsCy6hkG1WqXb7ZJKJ/H5/KiqSiYzxNrRMbqmSbFgr7i5PW5wgdWzCI1u4e0jJwgGgxw8eIAf//hHyLJEoVDAsnBGExmGwfbtt/e3ziwymQzptJ3W7/P5FqSbNxp1EokklmX3gdmDynVuWTeGefI0nU6H48cnmJoq2j1ZmoamtdF1++j8ILRTlt2sHV0LuBjKZimVpuh0Ok7kxWAmo9vtJpvNMTq6lkKhQCQSYXTNqD1SyuvF61Uwul2CgaBTmG7ctNlu6He5KFfKaFrbHm1k6P0BznUqlTKJRJJKuYxPUahWZzHNbj/kNITiVRjKZgkGgmzctGnB52BAURQSiQQjI2vIZIaozc1x6vQpfD4fw7lhTLNLLzfEmUqV3/qtXWzaNE6rdXVRORfSbrc58NaRZXv+G9Ftt29cEGp8JQIBZVnv2/XA5XLh958/IkOsbAnCCpofxDhIaH9r3z57FI1zGs7+sVwpk8utJ5VKUanYOU6hUJh7792G1+th7943FmyjvP76q5imyfT0lHM6DnAe9+ijv8XXvvb/2DPz4gmazQbdbpeHH34/gUCQTqdNdijLgQP70bQWnc7ZZHxJksCyvzm6JIlqtcL4+Di1Wo1AMES63/NVr9uJ9cPDI7jA7lfzeZyG6GQiQblcxuU9m5De0loEQyG7Gbu/klIul3FJ9qGCrmFgmj38/gC9nkm7bWCaJs1Wk0Q8QTBgj/ypVsvE4gm8ytkgUwuLZqPB7Ows4UgEn8+HpjUpV8qMjIw49yU7lOXddw/apzIti27XxDB0ItEox/7rVaamCoTDEe64406OHz9Oq6URjdp9aS6X5PQ9WZbFRz/6MfL5POVyCZdL4u23D9jDx3W9P6YmyX/7bx8FWHAaMRKOUID+51Ci1WrRbNrzCINBe/XP3v6UCIft6IVwOEK5Yv8jxR6HYwfGRiIRxtaOUe9HWGCxaHvQ47HjHwDa7RbTpS6dTptw2D7tN1h1qlQqTrCr1s8jG6ycHj16GF3XScSTBAMVlETCvu9YdNptvB4vzda8lP8LCIVCqKod0jtIu4/HE4RzOSY1XWwXCje0qy62vva1ryFJEp/+9KcXfUzXdT73uc9x4MABfD4fX/nKV1i/fv3VvqQg3LAKRXvLZH5h1bN6NBv2N8gBz7xwTcvqcf/9Dy2ZJwRnT8mVyzOk0/Y8uNdff5U777zbiRzYu/d19uz5MbFYlFJphunpIuFwhMcee4LxcTsHSlEG/3q1t7AikQjVSqWfy2RnVumGQSQSxaeqTE6edqIgBqLRGG6Ph00bNy36s6v+ALG4SbvTQdc76Iad8xTw20XnmTOT/WHNOh63B7dbpt3pOFEO3a6BT/WjtZrMzs4SjUTtwsBlfz6MbpdC3k6eHzTNG/0sqeGREYrFIqdOnkDTNCRZPjt8uVFnw4ZNrB1dy8zMjHPiMZnKIUsys7Nz5HIjhEJh1q5dx8TEBH6/iixLjI2tQ5Zldu68C6/XToz/z//8D06dOk6hUKDZbFCv19m8ecu8/iyLqakiBw7s56233gRc3H77DsBljzZyu5Ekl5M+PxgBBfa/nucHPc8f0J2IJwmFwszNzdqnD89MYlk9FMXHTHmGZquFLNuriz3TxOiPQLKLuiaxmJd4LIHH63GGfG/ctIl84Qx6R0drD8YJudH1Tn+os49azV6d9SoK3a4957Dbj/MY9JxdqnN7xcBO4i+XS+f5HYJwY7jiYqter/Pss8/y/PPP8wd/8AdLPuZb3/oWqqrywgsv8Oqrr/IXf/EX/PM///MVX6wg3OiWytcK+AM0WwvztQxdJ9AvyC6WJzQ4JZdK2YWWqvppNOq8+OIewuEwiqLwy1/+AlmW8XoV0ukUlUqFsbFxut2u0w+TiMc5ua9AJBKl0WySTqUJ+ANMTRXpWfZ4HLfbTTwWR1V91Op1csMjC6570bzCebJDWcozM7hlGc00Mc0eiuIlFo3R7rSpVCu0Wi1arRaJRJJYNOpEYXi8XgxDd4q4ffv2OrlZvV6ParWCT/FR02uART6fJzmvH6vZbJI/M4mmachuGbm/pXn61CnWjI4ycfyY/XlttQj4/USjUWTJbjCXJIlDhw5SLBb6pz8TyLLEkSOHOX58gt/8zd/C6/VQq83RarU4cGAfs7Oz9gDqagVd71AsTvH+93+ARCLBqVMn+V//63/i9Xr6BZiLl1/+FWNhe+XO67Xvn9vtgX7SutnfFrWbxlV0vUMkEqU0UyKVTC2YfxiJRDkzOYmiKMiym0ajRqk03V9ZU4jFYoRDIXyKj9LMNC6XxLBzGtMgnUojyTLFgj3k2+fz0Wl3nIZ10+w6pzq9Hq9zajAYCDAzM0PXsD8eSUYWNcVfzOCEojKvgO92DZGdJdzwrjj64Sc/+QljY2N8/OMfP+9jfvrTn/LBD34QgLvvvptqtUo+n7/SlxSEG94gX2u+QDCI5JIWxUAMBj3v3HkHtdoc9XqNXq/nFEeDvKZyuUQgEGR8fD2a1qJUmuL06dMUCmcoFPLs33+A119/hYmJo3S7JkNDWdLpNMePT3D06GHnyLzfb68aefqjeLpdk2g0hj8QwK/6SSRTRKJ2ZEQgGETxejl96iTHT0yQL5xBa7eclZZ9+/Zy+Mhh5/TaQKfTodlq9hPs3fNOrrWp1+p2aKnbTaUyw9T0NKpPBQYZZHaROjiZNzs3x8xMyQ7DlO1eMqtnMTc7x7FjR3nzzb3oht0PdvToEcxez1nRMk0TtyxTq9eoVCqcOnUKj9vD2rVrATh58gTdrtEfcVRmbm6OcrnMzMwMb7+9H8Mwed/7HuDWW7dx8uRx53N44sRJdF0nEAhhWT2q1Vk6HZ3Tp0/1V7Hg6NEjHDz4Nvl8gXw+j2maxOMJTNNE1/X+va4DFmZ/XqKiKM7czG7XQNd14vE40WjU2fYb8Hq8zJRnkCWZarVMvV53wmxbraYzKFyWZZLJlD0sWpZxy25y2Zyd29aPnACIxxIkk0mnoV+S5P4JxBC6oROPJfrN8mEi0QhexUskGumfuN20oCn+YoayWTqdtjOWqNNfAR18rQvCjeqKV7aefvppAL7+9a+f9zHT09OkUmf/RZJKpSgWi+RyuSt9WUG4oWWHshw9ajfgDsJQJZeL7bffbvfUzIuB8Pv9vHvcTixvNBpMTk4SjUZYv34T9933gNPDMlj5SiQS7Nx5Fy++uIdabQ5d7zAysoZCIc/0dJ58vtBfIXCRTKawrB7j4xvmjZBpova39GKxGIV8Ho/HSyKeoDRTotVqMpQZIhaPo3fshPCW1sLnU+l2u0wcO4ZpmqwdG8MfCGLourMdFQqFOH78GK1Wk3gsgdst0+2anMlPks/nkWSJcCRiN8l7PLRNE4/Hjaa1CAQCzgpJvV7n6NHDzpBqWZIoTtknCDudttM3FfAEMLoGxULBztPq6EgunOwwsANP7UT5MqlkCq9XwYvC6GiAudqs3VB/fIJez6RSqXDixAShUBiXy8X09BTpdIqtW2/FNLvO59DlstA0DZ/PR7FYQJZdWJaMaZq8885+IpEoP/vZf9JqNQgGQ0iSRKPRYHx8HLdsDy8fjM3pdDp0u128Xi+BQIBms0U8HmdkZA3BQBCXZCe8n7sSpBs6brebZquJYXRxuz3OFrTcL0q9isJwbhjLsjh+/BjDwyOLnmOw/TeUzdJo1hlds4aZmRmnZ2v+fQmFQpdVVJ3P/BOKzVYDvxpgeHgNxNNX/dyCsJouWmy98MILPPvsswt+bXx8nOeee+6KXvDcKfQXcqGhjudT17v4A1c3NHOlXY/X6/O5CaWu/i/PS2XpNbjASY7r1bmnT2q1Gvl8nmarScAfIJfLEQ6H5z0+iap6nccEgwE2bdqw4DGD55g2DvE//99/ZNu2bdx11w4a/UbvD3zgoQXN3bfeupFvfvObdLtdMpkMwaCPZDLO2NgYmUyGdrtJIBBgbm6O2dky0Wion8sUZHg4Q6p/n62Gzvi6tbz77iH8qo+1a9cwNT2N2yOzc8ftqH5/v8fKT6vVwuOxV2PsIdkdLHqEwyEy6SQAqs9Dp+OmWi2RySSZKZcIhYN4+4ODvV43oVCQ8kyZWDxGIKDiwm+HcnrcdNptCsU86UyK227bRjgc5tChg4TDQRRFIRT0U65U7IHL7TbxeJx2xx7WDeD2yOCy6JldAgHV7oEzwbTMfsxCD7dbxrJ6DA9n8fkGqz8t5marmD0Tt1sik0lx+vRJAgE/lmUSDNphq6OjI5w4cYSHH37Y+Rzef//7OHlyoh+y6UOWJaampojFYgSDAZ5//t/odOxE/nK5hKY1GR4eZnq6gNttDyzv9Xr9uYV2vlkikUCSJDKZNBs3bnCGWXc6HQzDsOMcZqadeYp+v5+NG9Zz8NAhLKuHx2PHZBiGgdst02w2CAYDKD77xOKa0RFMswsuN16vt//aXcbHN+D3K/Z/qpcz+TN2MdnWUFWVRCLOcG6YUPjiuXKX955SyGSSzs99sQjyvL+LUsv491Jba1yXfx+vJp/PfU0+58t5324EFy22Hn/8cR5//PErevJ0Ok2pVHKW5kulEun0pf8LpVxuLGgGvSTtLq3mjXPE1B/wXpfX2253aa/g4NCQYmDeYEeD/X7vguPM808aerwKjUaL/fvfXpAcD+B2+xgdHV/wXIPnmf8cPbmNrvd4/fU3AQ/xeAJJUvg//+fnzkqKPV/v54yNbWBqqsjJk5MUi9P4fD4CgQjNpo7X66Ner/dPKk7jcrlRVR/33HMvQ0OjzmDfkMvA7VYYHR2nUCzQbusMDQ2THcouWrXYt28vsltBkmRSySHAjouwLPtrZ8BColqdo9Xq0O32AJP53Qt2XhR0DRPDsPu1Wv1IAtntBsvFyROniITjuN0K1eoc/kCQdruLJHlJJYcIBELse3MvXdPE7Jq4JAmr1yMQCGLoJhYQ8AdxIaEbOqpHpdXS7BiIVJiR4WFME6rVGtVqlanpKcAiFo0hudxomgHIpNMZTLOHyyXh96s0mx2mp4sEAjGee+6fKJdLSJLEmjVjnDr1C3w+Ba/XSzqdQVUDVCpVKpUqGzZsoFqdpVar0W7r9HoWsuymo+uk05n+2Bypf5Tcj2VhD3b2+pAlL53+59eyJObm6vR6FkbXTn/vWaAbJuuGR5k8k6dcnqHZbNnJ7F6vs4U6OzvH9NQMLsnFhg12H5x98nAWvxpgdHQc2a3Qatnjguw5mE2CwQgbNm5Z8PXQap07z/Ea6xi0+l+jqVTI+XpdDu0b7PvHSmi3u1f9OV/u+3Y9kCTXBReIljX64eGHH+YHP/gBd911F6+99hqKoogtROGmtdRJw8GvX0qq/LnPUTe6xGJx2m2NiYljxOOJ/siSswON54/zGR0dA+DUqRP87//9Qn/enJuTJ0+STKb6kQJnC614PL5kL8ylbAmp/gCl6SmmSyU0rYWq+pEliUAggKa1nBR2WZJIJO1Vikwmw5kzk7hw9Uez2M3ta9eupVDIMzs7i0uSnEgCd69HKDOES5J46603CQaDzjbn/BOQbtnN0FCWWr1Gq9fDLUkEgiFcLhcuLPxqiJamIckSnXqbVtPE6/Wy/bbt7Nx5JwAHDrxFdbaKz9cf92NZtDsdJMnFoUMH+8noLmfkkV0E9bjtttvZu/d154BCs9lgeHgNd9xxpz2g2+tlbGyc7dt38P3vf5fh4WEikTjhcISpqSLlcplKpcz69RtQvD40TaPbNYlEov1dAItkIoWFRavZWnAPdEOn3W6TSqVJp87+I3YwT/GuO+/mtddfpVgs4vP58PvPzjGUZZlTp0+RzWYpFgoMZbNs3LT4BOlg29aeixhENxZuDV/M/ELNrwYYyi4u3AXhveCaF1vf+c53mJ6e5k/+5E/42Mc+xl//9V+ze/duvF4vX/7yl6/1ywnCdWOpk4b26bzmeX7HhZ/D4/HQbtv9P3Nzs8DCU4iweJwPwMjIKLffvoNqtcrExBECgQDr1o3TbmuEw1E0zV5B+uhHP3bF2UWyJHHkyBH7m7hqb/01m00kSeL05Cl8PhVZttPmW80W9Xqd8XXraTWbaJrmDLf2qwEUxUsqlcarKFTKZfROh0AgQDAYxjAMQsEgjWaTQrHQ73k77HxuDd0eAzM+vp53Dr6DLEm0220Mw14x8vnsQcqGYTirTJLkAlxs3LjZ+cZvF4laf/i2D1X1gQXlsp3HZZoG+XyeYrHAo48+Zgdw1ubweLz9EE+7mLaL3lHS6RS6rvfHDtlDknVdZ926DU4o7ejoOuLxJNVqhVAoTDAYdLZAa7UawWCAbrdLLBZD13U0TaOjd5zB0J1O2/nzzTfIttq4aRMPP/wIP//5T9G0FuAik8kQCUepViv0ej0S8eQFC6j5MxIB58fBScULudpCTRBuJlddbJ2br/W7v/u7zv8risKXvvSlq30JQbghDE4aDla0YHCKzn9FzxEKhtC0FpqmEYlEnFOI9933gPP488VC3HHH3ezceQf/43/8LS6Xi3A4yvj4ehKJhJPRdTUhkZOTp0kmk3b4Z3+MTjAY7Mc2JPpFi8Ka0VFkSaZQLLBp4ya2bdtOoVhAa9nN+JrWwuP20Gg2yWWH8flUyuUZFK+C4lP6p+9MAv2TkgC6YXD06FG63S7JZJLx8fXUanPkcjlM0+TM5GlM00T1+4mEI9TqNSLhCOF+jpnXIzNXa3D48CGyWXvwt2VZrBldiwsXmtaiUCzQaNRQrR7BYIjx8Q38xm88RqEwydtvH6BcLhONRjh9+jQ7dtzB/NohEAjSajXZtWs3e/e+4cyn3LXrCQ4dOsjw8DCzs1VmZ6uYZpcNGzYSj8dxe9wk4nEkSWJ2tkqr1SKVSjNdmqbVapFOp+kaBka/eX3NmlGKhcKSDfKD5vZQKMSmjZsxuobzGLv3ykUgEHCGTMPSBdRSuVeXGlR6NYWaINxsRIK8IFwjS5007HQ6l5UzNP85AoqXTZs2c/DgO4TDYVTVv+AUItixEHv2PG8/vr+CMijIcrlh3v/+30TTWufN6LpS9YY9gHiwEgN2wVKpVpyixfl1LCd769wtyn379tpRE16FbrdLMGhnU3X0DqrpR5LsMT7hSBJcLg4ceIvp0jSyLNGz7KysRrPB6OjafnN3h0xmCKk/NkdRFKqzVYyuseD6fT47jHNg/vakqtqzKd+pVJAkCa9XYcuWW0gkEkSjEX7+859yyy23EggEmZ6e5uWXf8m99z5IIpFY8PkdpPvn8/aJ0l7PDhL1eNwkk/bH4/EkzWaDRqNBpVJhdm6OaDRKMBBgulRyRu6sHV2L7HbT6bQXrQw5w5znrXidd+Czx15plSSJWCzmbPm2O20si0XbfEvlXl1qUOnVFGqCcLMRxZYgXCN2rtBGCsXCggiHS+3XOvc52u02udwIu3d/8LyrULncMLt27eYnP/l3fv3rX2FZLnbsuN35+IWKsctVr9edVSnDMKjXas5qEdAfKxNa1FM1PyPrXAuiJooFrF4Pr8fL7FyVSrlHNpdzhkW7gLm5OdqaHY+g+lR0Xac8M0MwGOpnUYFH8eLCXgHzeLxILslJY59/raHg2ULg3O1JWZaJRqNksznuvlt2Hnfw4NukUinnnt5662388pf/xSuvvEwymaRUmkaWZXbteoLnn/8hx44d4cSJ42zdegsbN25BVf0cPPgOIyNrWL9+I7lcjm996zlk2U0sGqXogunpKWKxBEOZIYZHFkYywMKVoaWiEi408LnZaqD6VUJB++P5Qh6Px4NblrGwe9cCgQCWZeFXA3Zkx4kJZ4tVlmVUVXUGhF/I1RRqgnCzEcWWIFxDoVD4soqrCz2HnNhAZuSWS/o9hqFzzz33OgXVnj3Ps2vXbqcYm7+dde7q2KWY33/jDwTJpNMcOWKvwIXCYdrtNm1NY/tt26nV5oCFPVXnW90bFDmK4iMaiTJx/Bg9q8fY2nX2gOduF7fbzfi69UxMHKXRqPeLIfuvLm///yuVMvF4Ap+i0Gl36HTa9Ho9PG43Ho+Hrtm1x/S4JErTszSaTTZv3tKPwAg5BYldKDdQ/QG2b9+B5nJRr9ecz2upNM1DDz3iXH88nmDr1lt44YXnsaweqVQKn8/H9773Xe65515qtRqy7Obw4XcJBEKMjo4Ri8VRVT+7dz/F88//kK1bb+Hw4XdxSRLJZJq2ptGzeoQj4fP2Y11u4/n8FcXBvZwuTeNx2zEc3W6XaDTOTHkaTdMYXbMW3dA5fmICvXPu6TwXl2Ioe3bO5tlCzc+2bbdd0u8XhJuJKLYE4QY3/0Qi4Pw4f1D11Q7xtU9Jnh0U3e2ahEIhKtUKumEQj8W4bdt2stmsswI2KFrOXWmZb36RMzs3SzqVJpVOo/rsPjdd7+D2eOwhxf4AptlDOrvQRLvTAZc9I9DtduPC1S/2LDxeL6WZEi5g+/YdzM5WKRTOEAqH2LJ5K8FgcEHD9lKnMDvDI6jvTjqF6oMPPoyiLFxpKhTy7NixkwcffD/lcpkXX9xDtTrDSy/9gkDATy43wsxMiRdf3EMmkyEUCjq5auVyiZGRUQKBELIk02m3UXwKiqIQjyWWXBmyE/GvvPF88Dl/+Ve/BJcLRfGRTKaoVqv4FB+maTq9XIMVwbX9k65gn3a89L6rc6N7LjPKRxBuEqLYEoQb3FInEs+NiLhaWquJPxB0msc9bg/JVAq16Wcok1nwjf5y08QHjx+8xvx+r/mzFrNDWd4NBKjXa3ZqvWEwV5vDp/iIx+I0+itPsiQjy3ZF5vZ4iEajVCplstksw8MjhMOBBVlgdjRHaME2qeoPkB3KEvX75yXsnx36Dcxb7Srx0EN2obV372vU6zUSiRS12hzNZoNut2un0XdNNm3aTLVaoVKpkM+fWZD+n0wmca0bp6N38Lg9i3qtBv1YsiRfdeN5KBRibGx8QeP8VLHYHw3kcx5nmuai33s5DfKRSJT0vK/NyyvUBOHmccWzEQVBuD4MvmHPdy2a4Ocb9FZVq1U8bg9ujxuzaxIIBFAUH4Vi4Zq9xnzz+71CoRB33Xk3oVAYox+FEAwGCYVCWJaFW3YTDASdKRWSLJNJD5GIJ+noOofefZczZyY5PTnZj0Kwizmt1XQ46vUbAAAO20lEQVS21rqGgT8QpGsYHD16mFZrYbbVYFtWVf39lHg/DzzwEIqiMDFxDFW1h1i3Wi0ikSgjI6O8++4hDKNLJBKm3dawrB5bt97K3r1vLJh7aVl2MdLptJ1twQ0bNuFxe2i2GnjcHjZs2ISFteT24mCW4aU6dw6hJEtobY1YLOY8RpbPFq4Dl9Mgfy2uUxBuBmJlSxBucNeyCf58Br1VzZY9+qdrdDEMnWQqt2D16Vq8Bpy/3yubzfL+hx+hUCxw+PC7hEMhe3hzvWY3zat+DMMgGAqBBbqu02o1aWsalmUhu92Y3a6T2SXLMqo/sGCbFHB+LFcqRIcXFq3nbssOVrtKpSnS6QyRiB1YOjycIx5P4Ha7cbvtfiVd7+B2ezhy5F0OHz7Ezp13OD117baGx+1ZsO261CrhtWo8P7dxPplI0my1kGTZHohu6KiqCrgW5Xtdyglb0SAvCGeJYksQbnDXqgn+QgbfmGu1Gs2mXXAlUzlUn11AnO+04ZW8xsX6veYXIF3D4Ez+jD1c2ePF4/Ui9YctA7Q7bXS901+BU+gaBl6PjNvtplSaJhaLsWbNKBMTR/EHFsYUeLxeOp32Ra978PmfnJzsD6jO8MQTm6hUKkxPT5HLjfDAAw8SCITYu/c1VNWeMWlZPecgw+7dT+FvN2iduvgK4fm2Fy8nYmTg3GJu0Hg/ONk4OHV4odOOK3GdgnCjE8WWINwErkUT/MWEQiHuuOMupznb08+1upJvoEv1R52vSf18BithsiQhuSR03W4ezw5lKZdnsCxQ+vMA3R4PmSF7hmOjUcPUOlgWTq/ZUmOADF0nMK9/6UJyuWH+4A/+iD17nsc0TaamipRKJWRZ5vd+72NMTp7mnXf24/PZz6dpLe688248Ho9zkOFSXUrcw5U63+f/Sp57Oa9TEG40otgSBOGSXerq04WcGyNh6Fc2xmVwLXvffINyZQa9o+MPBPAlUsTjSSRZIp1K2flfoZBzwjEWDVOrNZ1TjnD+LcxEPM7iFvGl5XLD7Nx5J9/61nOYpkkqlSaTGWJy8jQ7d97JO+8cRJIgEomydestxONn0/wv11JF0YXiIFZrRuHlHpYQhJuVKLYEQbgsV/sN9Hz9UYNTgZej0WgwW62Syw6jaRpztTkKhTxbtm5l5447nFOGR48eRtc7/a3Bxatx5ysi/X4/9ctIK8jn89x33wMLstbq9Rr5fJ5HHvkNNK2FrhscO3aMN9/ci8fjZvPmrZf1Z17KheYQAmJGoSCsMlFsCYKwogYRD/NdaZP94cOH8KkqqqoSjkTIDA1Rm5ujXC4zMXHU2aKcX0jFYpElC41rsQpzoRiOD3zgMb773W9z/PgxotEYXq+XarVCqVQinz/DhnjkPM96cReaQwiIGYWCsMpE9IMgCCvqYhEPl6PeaDh9UAB6R6fZatHqF3SDCAeATRs3cfvtO9myZeuyFRkXiuHI5YZJp9NEIlF0Xcfn83H//Q8yOjrK3r1vXNXrXihmQUQwCMLqEytbgiCsqEuJeLhUoWCQdrvdjyiwtxWtXo9APxz1arYor8TFYjh6vR733/+QkwU2+LWrDaC9WMyCiGAQhNUlVrYEQVhRg/4ot8dDq9nA7fE4vUWHjxxm3769HD5ymHq9ftHn2rRpC21NQ+vnaLW0Jl3TZHje6b5BcOl8hUKBn/3sP/nR8z/kZz/7TwqFqw9lhaVDTwczKmH5AmjPDSidH456oY8JgrAyxMqWIAgrbql8pys5oZjNZrn77ns4fPgQtZo9xieTThOLxZ3HnLtFmc+f4dVXf41PVQn3h2i/+uqvufvue8hegwLkQjEcyxVAe7GYBRHBIAirSxRbgiCsuqs5oZjNZp0i6dyTh0ttUb7zzjtOUz3g/Hj48KHzFlv5/Bn27n2DcrlEIpFi5847rijX7IIBtO2rS+G/UIO/iGAQhNUlii1BEFbdtTqheCk5YLV6Hb9/4Wv5fD5qtdqSzzkYxxMOR0ilMjSbDSf5/UoLruUOoBUE4foiii1BEFbd+RLcr+SE4sVWccKhEI2m5qxoAbTbbULB4JKP37v3DcLhiJOdNfjxcpPfBUF47xIN8oIgrLrskN3EresdLCxnDFB26No3cd9yyy0Lmuo1TaOtaWzatGXJx5fLJQLnrLoFAkHK5dI1vzZBEG5OotgSBGHVne+E4nL0GeVyw9x99z0oXi+1Wg3F671gc/xynSAUBOG9Q2wjCoJwXVjJJu75TfUXs1wnCAVBeO8QxZYgCCuiXq9TKBbQWk1njM6NcELugicIBUEQLoEotgRBWNK1LI6uNEfreiFOEAqCcDVEz5YgCIsMiqOuYSyYMXgpqe5LmZ+jNRijoyg+CsVrk9wuCIJwPRPFliAIi1zr4khrNfF4Fw5DXmqMjiAIws1IbCMKgrDItQoZHbjcHK0btb9LEARhKWJlSxCERQbF0XxXGjIKl5ejda23MAVBEFabKLYEQVjkWoeMXk6OlujvEgThZiO2EQVBWORSZgxeyXNeyu+/1luYgiAIq00UW4IgLGklQ0bnu5ZzEgVBEK4HYhtREITrykrOSRQEQVgJotgSBOG6spJzEgVBEFaC2EYUBOG6s1pbmIIgCMtBrGwJgiAIgiAsI1FsCYIgCIIgLCNRbAmCIAiCICwjUWwJgiAIgiAsI5dlWdZqX8T5lMsNer3LuzzZMDE1Y5mu6Nrz+dy0293VvoxFZNWD6ZFX7PX8Sg+Z6+/zcCGKz0OnvXxfayZuWp2V+/eQX+4i9zor9nqr5XLumykptMyVOUek9gxc+s3/+b9clldBkzwApFIhSqXlG9ukd9q0Wu1le/4bkd/vw6v4ruo5lvu+XQ8kyUUiETzvx2+604imR4YVLBKuVigVon0dfhGaK/x6dlHhXeFXvTq+cIj63PV3766UXVTcdH8lLOILhqhrl3jfVvCNoEke8HlW7gWFRbzK1RcWgrAUsY0oCIIgCIKwjESxJQiCIAiCsIxEsSUIgiAIgrCMRLElCIIgCIKwjESxJQiCIAiCsIxEsSUIgiAIgrCMRLElCIIgCIKwjESxJQiCIAiCsIxEsSUIgiAIgrCMRLElCIIgCIKwjESxJQiCIAiCsIxEsSUIgiAIgrCMRLElCIIgCIKwjESxJQiCIAiCsIzcq30BFyJJrtW+hBXxXvlz3ozEvbsxift24xL37sZ0s9+3i/35XJZlWSt0LYIgCIIgCO85YhtREARBEARhGYliSxAEQRAEYRmJYksQBEEQBGEZiWJLEARBEARhGYliSxAEQRAEYRmJYksQBEEQBGEZiWJLEARBEARhGYliSxAEQRAEYRmJYksQBEEQBGEZiWJrlXzta1/j61//+pIf03WdP/uzP+Pxxx/nt3/7tzl27NgKX52wlHw+z+/93u+xa9cuPvWpT9FsNpd8zM6dO/nQhz7Ehz70IT7xiU+swpUKAD/84Q954oknePTRR/n2t7+96OMHDx7kd37nd3jsscf43Oc+R7fbXYWrFJZysXv3jW98g0ceecR5ny31GGF1NBoNnnzySSYnJxd97D39nrOEFVWr1azPfvaz1vbt262/+7u/W/Ix//AP/2D91V/9lWVZlvXKK69YH/nIR1byEoXz+OQnP2n96Ec/sizLsr7xjW9YX/7ylxc9Zs+ePc69E1ZPsVi0HnnkEatarVrNZtN66qmnrCNHjix4zO7du629e/dalmVZn/3sZ61vf/vbq3Gpwjku5d790R/9kfXGG2+s0hUK5/Pmm29aTz75pHXrrbdap0+fXvTx9/J7TqxsrbCf/OQnjI2N8fGPf/y8j/npT3/KBz/4QQDuvvtuqtUq+Xx+pS5RWIJhGLz66qs89thjAHz4wx9mz549ix63f/9+Dh8+zIc//GGeeeYZ3n333ZW+VAF46aWXeN/73kc0GsXv9/PYY48tuF9nzpyh3W6zY8cO4Pz3U1h5F7t3AAcOHOCb3/wmTz31FF/4whfodDqrdLXCfN/73vf4/Oc/TzqdXvSx9/p7ThRbK+zpp5/mk5/8JLIsn/cx09PTpFIp5+epVIpisbgSlyecR7VaJRgM4na7AfueTE1NLXqcoig8/fTT/Mu//Auf+MQn+OM//mN0XV/py33PO/c9lE6nF9yvpd5jS91PYeVd7N41m022bt3Kn//5n/Ov//qv1Go1/v7v/341LlU4xxe/+EXuuuuuJT/2Xn/PuVf7Am5WL7zwAs8+++yCXxsfH+e55567oueTJFEXr5Sl7t3Y2Niix7lcrkW/9ulPf9r5/4cffpivfvWrTExMsGXLlmt+ncL5WZa16Nfm36+LfVxYPRe7N4FAgG9+85vOz3//93+fv/zLv+Qzn/nMilyfcGXe6+85UWwtk8cff5zHH3/8in5vOp2mVCqxdu1aAEql0pLLssLyWOreGYbBPffcg2mayLJ83nvyrW99iyeffJJYLAbYf8EMVsOElZPJZHjttdecn09PTy+4X5lMhpmZGefn4j12/bjYvcvn87z00kt85CMfAcR77EbxXn/PieWS69DDDz/MD37wAwBee+01FEUhl8ut8lW9t3k8Hu666y5+/OMfA/Bv//ZvPPTQQ4se9+qrr/L9738fgFdeeYVer8f4+PiKXqsA9913H7/61a+oVCpomsaLL7644H4NDw+jKAqvv/46cP77Kay8i907n8/H3/7t33L69Gksy+Lb3/42jz766CpesXAp3uvvOVFsXSe+853v8LWvfQ2Aj33sY+i6zu7du/niF7/Il7/85VW+OgHg85//PN/73vd44okneO211/jTP/1TYOG9+9znPsdLL73Ek08+yZe+9CW++tWvii3gVZDJZPjMZz7DM888w9NPP82TTz7J9u3b+cM//EP2798PwFe+8hWeffZZHn/8cTRN45lnnlnlqxbg4vcuHo/zhS98gU996lPs2rULy7IueOBIWF3iPWdzWUttpAqCIAiCIAjXhPgntyAIgiAIwjISxZYgCIIgCMIyEsWWIAiCIAjCMhLFliAIgiAIwjISxZYgCIIgCMIyEsWWIAiCIAjCMhLFliAIgiAIwjISxZYgCIIgCMIy+v8BAwT+Zs5TAZ0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "plt.scatter(data[:,0], data[:,1], c='black', alpha=0.3)\n",
    "plot_cover(cover, ax, every_n=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the patches overlap the each other by about a third which is what we would expect based on the initial setting. On each patch we will now run a clustering algorithm."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clustering\n",
    "Before we can construct the graph we need to cluster each patch. In the previous lesson we learned about k-means which is a simple clustering algorithm, however one needs to specify the number of expected clusters. There is another powerful clustering algorithm that does not require that parameter since it only works with density, called Density-based spatial clustering of applications with noise (DBSCAN). \n",
    "\n",
    "<div style=\"text-align: center\">\n",
    "<img src='images/kmeans_vs_dbscan.png' width='600'>\n",
    "    <p style=\"text-align: center;\"> <b>Figure reference:</b> https://github.com/NSHipster/DBSCAN </p>\n",
    "</div>\n",
    "\n",
    "The algorithm for DBSCAN is the following:\n",
    "1. Start with a point that is not part of a cluster.\n",
    "2. Find all neighbours that are within a distance less than R.\n",
    "3. If there at least n neighbours they build a cluster. Else the point is an outlier and go back to 1.\n",
    "4. For each new point in the cluster repeat 2 until you can't find any new connected points. Then go back 1.\n",
    "5. When all points are either in a cluster or outliers without enough neighbours you are done.\n",
    "\n",
    "The maximal distance and minimal number of neighbours define a minimal density for a cluster, hence the name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "clusterer = DBSCAN()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Network\n",
    "Now we have everything in place run all steps and then construct the topological network. We create a pipe object that combines all steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe = make_mapper_pipeline(\n",
    "    filter_func=filter_func,\n",
    "    cover=cover,\n",
    "    clusterer=clusterer,\n",
    "    verbose=False,\n",
    "    n_jobs=1,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we can visualise the results. We can see that the two rings were correctly reconstructed in the topological network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
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l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);l<=n[s];)s--,l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);r[++s]=o,n[s]=l,n[s+1]=+a}for(o=0,s=0;o<i;o++){for(;n[s+1]<o;)s++;e[o]=(o-r[s])*(o-r[s])+t[r[s]]}}},{clamp:117}],96:[function(t,e,r){!function(e,r){\"use strict\";function n(t,e){if(!t)throw new Error(e||\"Assertion failed\")}function a(t,e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}function i(t,e,r){if(i.isBN(t))return t;this.negative=0,this.words=null,this.length=0,this.red=null,null!==t&&(\"le\"!==e&&\"be\"!==e||(r=e,e=10),this._init(t||0,e||10,r||\"be\"))}var o;\"object\"==typeof e?e.exports=i:r.BN=i,i.BN=i,i.wordSize=26;try{o=t(\"buffer\").Buffer}catch(t){}function s(t,e,r){for(var n=0,a=Math.min(t.length,r),i=e;i<a;i++){var o=t.charCodeAt(i)-48;n<<=4,n|=o>=49&&o<=54?o-49+10:o>=17&&o<=22?o-17+10:15&o}return n}function l(t,e,r,n){for(var a=0,i=Math.min(t.length,r),o=e;o<i;o++){var 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h=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)h*=e;this.imuln(h),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},i.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},i.prototype.clone=function(){var t=new i(null);return this.copy(t),t},i.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},i.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},i.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function f(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var a=0|t.words[0],i=0|e.words[0],o=a*i,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(a=0|t.words[d])*(i=0|e.words[p])+h)/67108864|0,h=67108863&o}r.words[c]=0|h,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}i.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var a=0,i=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<a|i)).toString(16);r=0!==(i=s>>>24-a&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(a+=2)>=26&&(a-=26,o--)}for(0!==i&&(r=i.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var f=u[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var g=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?g+r:c[f-g.length]+g+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},i.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},i.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},i.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},i.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},i.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},i.prototype.isNeg=function(){return 0!==this.negative},i.prototype.neg=function(){return this.clone().ineg()},i.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},i.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},i.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},i.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},i.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},i.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},i.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.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()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.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 a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.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,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&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()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var 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mt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(m,V),a=(a=Math.imul(m,U))+Math.imul(y,V)|0,i=Math.imul(y,U),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,X)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,X)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,V),a=(a=Math.imul(b,U))+Math.imul(_,V)|0,i=Math.imul(_,U),n=n+Math.imul(m,H)|0,a=(a=a+Math.imul(m,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,X)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(k,V),a=(a=Math.imul(k,U))+Math.imul(T,V)|0,i=Math.imul(T,U),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,a=(a=a+Math.imul(m,X)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,V),a=(a=Math.imul(A,U))+Math.imul(S,V)|0,i=Math.imul(S,U),n=n+Math.imul(k,H)|0,a=(a=a+Math.imul(k,G)|0)+Math.imul(T,H)|0,i=i+Math.imul(T,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,X)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,X)|0,n=n+Math.imul(m,J)|0,a=(a=a+Math.imul(m,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,V),a=(a=Math.imul(L,U))+Math.imul(C,V)|0,i=Math.imul(C,U),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(k,W)|0,a=(a=a+Math.imul(k,X)|0)+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(m,$)|0,a=(a=a+Math.imul(m,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,V),a=(a=Math.imul(O,U))+Math.imul(z,V)|0,i=Math.imul(z,U),n=n+Math.imul(L,H)|0,a=(a=a+Math.imul(L,G)|0)+Math.imul(C,H)|0,i=i+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,X)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,X)|0,n=n+Math.imul(k,J)|0,a=(a=a+Math.imul(k,K)|0)+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,a=(a=a+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var kt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(D,V),a=(a=Math.imul(D,U))+Math.imul(R,V)|0,i=Math.imul(R,U),n=n+Math.imul(O,H)|0,a=(a=a+Math.imul(O,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(L,W)|0,a=(a=a+Math.imul(L,X)|0)+Math.imul(C,W)|0,i=i+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(k,$)|0,a=(a=a+Math.imul(k,tt)|0)+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(m,it)|0,a=(a=a+Math.imul(m,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var Tt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(B,V),a=(a=Math.imul(B,U))+Math.imul(N,V)|0,i=Math.imul(N,U),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,a=(a=a+Math.imul(O,X)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,n=n+Math.imul(L,J)|0,a=(a=a+Math.imul(L,K)|0)+Math.imul(C,J)|0,i=i+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,a=(a=a+Math.imul(k,nt)|0)+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,a=(a=a+Math.imul(m,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,X)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,X)|0,n=n+Math.imul(O,J)|0,a=(a=a+Math.imul(O,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(L,$)|0,a=(a=a+Math.imul(L,tt)|0)+Math.imul(C,$)|0,i=i+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(k,it)|0,a=(a=a+Math.imul(k,ot)|0)+Math.imul(T,it)|0,i=i+Math.imul(T,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(m,ht)|0,a=(a=a+Math.imul(m,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,X))+Math.imul(N,W)|0,i=Math.imul(N,X),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(O,$)|0,a=(a=a+Math.imul(O,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(L,rt)|0,a=(a=a+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,i=i+Math.imul(C,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(k,lt)|0,a=(a=a+Math.imul(k,ct)|0)+Math.imul(T,lt)|0,i=i+Math.imul(T,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(m,dt)|0)|0)+((8191&(a=(a=a+Math.imul(m,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,a=(a=a+Math.imul(O,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(L,it)|0,a=(a=a+Math.imul(L,ot)|0)+Math.imul(C,it)|0,i=i+Math.imul(C,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(k,ht)|0,a=(a=a+Math.imul(k,ft)|0)+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(O,it)|0,a=(a=a+Math.imul(O,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(L,lt)|0,a=(a=a+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,i=i+Math.imul(C,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Lt=(c+(n=n+Math.imul(k,dt)|0)|0)+((8191&(a=(a=a+Math.imul(k,gt)|0)+Math.imul(T,dt)|0))<<13)|0;c=((i=i+Math.imul(T,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,a=(a=a+Math.imul(O,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(L,ht)|0,a=(a=a+Math.imul(L,ft)|0)+Math.imul(C,ht)|0,i=i+Math.imul(C,ft)|0;var Ct=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(O,ht)|0,a=(a=a+Math.imul(O,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(a=(a=a+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((i=i+Math.imul(C,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var Ot=(c+(n=n+Math.imul(O,dt)|0)|0)+((8191&(a=(a=a+Math.imul(O,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var It=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(It>>>26)|0,It&=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=kt,l[8]=Tt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=zt,l[18]=It,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(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,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],v=r[u+p+o],m=n[u+p+o],y=h*v-f*m;m=h*m+f*v,v=y,r[u+p]=d+v,n[u+p]=g+m,r[u+p+o]=d-v,n[u+p+o]=g-m,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.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,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,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!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),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>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.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 a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.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)},i.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},i.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()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(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(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,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 i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.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),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.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 a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.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(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.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 a,o=new i(1),s=new i(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 h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >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(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.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 a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.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 a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.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},i.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],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.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)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=i._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){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(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)}m.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},a(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=4194303&a,n=10;n<t.length;n++){var i=0|t.words[n];t.words[n-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,t.words[n-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 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t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new i(1)).iushrn(2);return this.pow(t,r)}for(var a=this.m.subn(1),o=0;!a.isZero()&&0===a.andln(1);)o++,a.iushrn(1);n(!a.isZero());var s=new i(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new i(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,a),f=this.pow(t,a.addn(1).iushrn(1)),p=this.pow(t,a),d=o;0!==p.cmp(s);){for(var g=p,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v<d);var m=this.pow(h,new i(1).iushln(d-v-1));f=f.redMul(m),h=m.redSqr(),p=p.redMul(h),d=v}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new i(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var a=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 h=c>>u&1;a!==r[0]&&(a=this.sqr(a)),0!==h||0!==o?(o<<=1,o|=h,(4===++s||0===n&&0===u)&&(a=this.mul(a,r[o]),s=0,o=0)):s=0}l=26}return a},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},i.mont=function(t){return new k(t)},a(k,w),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),a=r.isub(n).iushrn(this.shift),i=a;return a.cmp(this.m)>=0?i=a.isub(this.m):a.cmpn(0)<0&&(i=a.iadd(this.m)),i._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new i(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:105}],97:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,a=t.length,i=0;for(e=0;e<a;++e)i+=t[e].length;var o=new Array(i),s=0;for(e=0;e<a;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],98:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return n=[],c(a=t,a,u,!0),n;case 2:return\"function\"==typeof e?c(t,t,e,!0):function(t,e){return n=[],c(t,e,u,!1),n}(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}var a};var n,a=t(\"typedarray-pool\"),i=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 a=0,i=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[a++]=c[u];n[i++]=o}}return i}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 h,f=a.mallocDouble(2*u*s),p=a.mallocInt32(s);if((s=l(t,u,f,p))>0){if(1===u&&n)i.init(s),h=i.sweepComplete(u,r,0,s,f,p,0,s,f,p);else{var d=a.mallocDouble(2*u*c),g=a.mallocInt32(c);(c=l(e,u,d,g))>0&&(i.init(s+c),h=1===u?i.sweepBipartite(u,r,0,s,f,p,0,c,d,g):o(u,r,n,s,f,p,c,d,g),a.free(d),a.free(g))}a.free(f),a.free(p)}return h}}}function u(t,e){n.push([t,e])}},{\"./lib/intersect\":100,\"./lib/sweep\":104,\"typedarray-pool\":543}],99:[function(t,e,r){\"use strict\";var n=\"d\",a=\"ax\",i=\"vv\",o=\"fp\",s=\"es\",l=\"rs\",c=\"re\",u=\"rb\",h=\"ri\",f=\"rp\",p=\"bs\",d=\"be\",g=\"bb\",v=\"bi\",m=\"bp\",y=\"rv\",x=\"Q\",b=[n,a,i,l,c,u,h,p,d,g,v];function _(t){var e=\"bruteForce\"+(t?\"Full\":\"Partial\"),r=[],_=b.slice();t||_.splice(3,0,o);var w=[\"function \"+e+\"(\"+_.join()+\"){\"];function k(e,o){var _=function(t,e,r){var o=\"bruteForce\"+(t?\"Red\":\"Blue\")+(e?\"Flip\":\"\")+(r?\"Full\":\"\"),_=[\"function \",o,\"(\",b.join(),\"){\",\"var \",s,\"=2*\",n,\";\"],w=\"for(var i=\"+l+\",\"+f+\"=\"+s+\"*\"+l+\";i<\"+c+\";++i,\"+f+\"+=\"+s+\"){var x0=\"+u+\"[\"+a+\"+\"+f+\"],x1=\"+u+\"[\"+a+\"+\"+f+\"+\"+n+\"],xi=\"+h+\"[i];\",k=\"for(var j=\"+p+\",\"+m+\"=\"+s+\"*\"+p+\";j<\"+d+\";++j,\"+m+\"+=\"+s+\"){var y0=\"+g+\"[\"+a+\"+\"+m+\"],\"+(r?\"y1=\"+g+\"[\"+a+\"+\"+m+\"+\"+n+\"],\":\"\")+\"yi=\"+v+\"[j];\";return 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strict\";e.exports=function(t,e,r,i,u,S,E,L,C){!function(t,e){var r=8*a.log2(e+1)*(t+1)|0,i=a.nextPow2(b*r);w.length<i&&(n.free(w),w=n.mallocInt32(i));var o=a.nextPow2(_*r);k<o&&(n.free(k),k=n.mallocDouble(o))}(t,i+E);var P,O=0,z=2*t;T(O++,0,0,i,0,E,r?16:0,-1/0,1/0),r||T(O++,0,0,E,0,i,1,-1/0,1/0);for(;O>0;){var I=(O-=1)*b,D=w[I],R=w[I+1],F=w[I+2],B=w[I+3],N=w[I+4],j=w[I+5],V=O*_,U=k[V],q=k[V+1],H=1&j,G=!!(16&j),Y=u,W=S,X=L,Z=C;if(H&&(Y=L,W=C,X=u,Z=S),!(2&j&&(F=v(t,D,R,F,Y,W,q),R>=F)||4&j&&(R=m(t,D,R,F,Y,W,U))>=F)){var J=F-R,K=N-B;if(G){if(t*J*(J+K)<p){if(void 0!==(P=l.scanComplete(t,D,e,R,F,Y,W,B,N,X,Z)))return P;continue}}else{if(t*Math.min(J,K)<h){if(void 0!==(P=o(t,D,e,H,R,F,Y,W,B,N,X,Z)))return P;continue}if(t*J*K<f){if(void 0!==(P=l.scanBipartite(t,D,e,H,R,F,Y,W,B,N,X,Z)))return P;continue}}var Q=d(t,D,R,F,Y,W,U,q);if(R<Q)if(t*(Q-R)<h){if(void 0!==(P=s(t,D+1,e,R,Q,Y,W,B,N,X,Z)))return P}else if(D===t-2){if(void 0!==(P=H?l.sweepBipartite(t,e,B,N,X,Z,R,Q,Y,W):l.sweepBipartite(t,e,R,Q,Y,W,B,N,X,Z)))return P}else T(O++,D+1,R,Q,B,N,H,-1/0,1/0),T(O++,D+1,B,N,R,Q,1^H,-1/0,1/0);if(Q<F){var $=c(t,D,B,N,X,Z),tt=X[z*$+D],et=g(t,D,$,N,X,Z,tt);if(et<N&&T(O++,D,Q,F,et,N,(4|H)+(G?16:0),tt,q),B<$&&T(O++,D,Q,F,B,$,(2|H)+(G?16:0),U,tt),$+1===et){if(void 0!==(P=G?A(t,D,e,Q,F,Y,W,$,X,Z[$]):M(t,D,e,H,Q,F,Y,W,$,X,Z[$])))return P}else if($<et){var rt;if(G){if(rt=y(t,D,Q,F,Y,W,tt),Q<rt){var nt=g(t,D,Q,rt,Y,W,tt);if(D===t-2){if(Q<nt&&void 0!==(P=l.sweepComplete(t,e,Q,nt,Y,W,$,et,X,Z)))return P;if(nt<rt&&void 0!==(P=l.sweepBipartite(t,e,nt,rt,Y,W,$,et,X,Z)))return P}else Q<nt&&T(O++,D+1,Q,nt,$,et,16,-1/0,1/0),nt<rt&&(T(O++,D+1,nt,rt,$,et,0,-1/0,1/0),T(O++,D+1,$,et,nt,rt,1,-1/0,1/0))}}else rt=H?x(t,D,Q,F,Y,W,tt):y(t,D,Q,F,Y,W,tt),Q<rt&&(D===t-2?P=H?l.sweepBipartite(t,e,$,et,X,Z,Q,rt,Y,W):l.sweepBipartite(t,e,Q,rt,Y,W,$,et,X,Z):(T(O++,D+1,Q,rt,$,et,H,-1/0,1/0),T(O++,D+1,$,et,Q,rt,1^H,-1/0,1/0)))}}}}};var n=t(\"typedarray-pool\"),a=t(\"bit-twiddle\"),i=t(\"./brute\"),o=i.partial,s=i.full,l=t(\"./sweep\"),c=t(\"./median\"),u=t(\"./partition\"),h=128,f=1<<22,p=1<<22,d=u(\"!(lo>=p0)&&!(p1>=hi)\",[\"p0\",\"p1\"]),g=u(\"lo===p0\",[\"p0\"]),v=u(\"lo<p0\",[\"p0\"]),m=u(\"hi<=p0\",[\"p0\"]),y=u(\"lo<=p0&&p0<=hi\",[\"p0\"]),x=u(\"lo<p0&&p0<=hi\",[\"p0\"]),b=6,_=2,w=n.mallocInt32(1024),k=n.mallocDouble(1024);function T(t,e,r,n,a,i,o,s,l){var c=b*t;w[c]=e,w[c+1]=r,w[c+2]=n,w[c+3]=a,w[c+4]=i,w[c+5]=o;var u=_*t;k[u]=s,k[u+1]=l}function M(t,e,r,n,a,i,o,s,l,c,u){var h=2*t,f=l*h,p=c[f+e];t:for(var d=a,g=a*h;d<i;++d,g+=h){var v=o[g+e],m=o[g+e+t];if(!(p<v||m<p)&&(!n||p!==v)){for(var y,x=s[d],b=e+1;b<t;++b){v=o[g+b],m=o[g+b+t];var _=c[f+b],w=c[f+b+t];if(m<_||w<v)continue t}if(void 0!==(y=n?r(u,x):r(x,u)))return y}}}function A(t,e,r,n,a,i,o,s,l,c){var u=2*t,h=s*u,f=l[h+e];t:for(var p=n,d=n*u;p<a;++p,d+=u){var g=o[p];if(g!==c){var v=i[d+e],m=i[d+e+t];if(!(f<v||m<f)){for(var 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n=t(\"./partition\")(\"lo<p0\",[\"p0\"]),a=8;function i(t,e,r,n,a,i){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=a[s],u=l,h=o*(l-1);u>r&&a[h+e]>c;--u,h-=o){for(var f=h,p=h+o,d=0;d<o;++d,++f,++p){var g=a[f];a[f]=a[p],a[p]=g}var v=i[u];i[u]=i[u-1],i[u-1]=v}}},{\"./partition\":102}],102:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=\"abcdef\".split(\"\").concat(e),a=[];t.indexOf(\"lo\")>=0&&a.push(\"lo=e[k+n]\");t.indexOf(\"hi\")>=0&&a.push(\"hi=e[k+o]\");return r.push(n.replace(\"_\",a.join()).replace(\"$\",t)),Function.apply(void 0,r)};var n=\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m\"},{}],103:[function(t,e,r){\"use strict\";e.exports=function(t,e){e<=4*n?a(0,e-1,t):function t(e,r,h){var 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r=8*e;p.length<r&&(n.free(p),p=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,a,h,f,v,m,y){for(var x=0,b=2*t,_=t-1,w=b-1,k=r;k<n;++k){var T=h[k],M=b*k;p[x++]=a[M+_],p[x++]=-(T+1),p[x++]=a[M+w],p[x++]=T}for(var k=f;k<v;++k){var T=y[k]+o,A=b*k;p[x++]=m[A+_],p[x++]=-T,p[x++]=m[A+w],p[x++]=T}var S=x>>>1;i(p,S);for(var E=0,L=0,k=0;k<S;++k){var C=0|p[2*k+1];if(C>=o)d(c,u,L--,C=C-o|0);else if(C>=0)d(s,l,E--,C);else if(C<=-o){C=-C-o|0;for(var P=0;P<E;++P){var O=e(s[P],C);if(void 0!==O)return O}g(c,u,L++,C)}else{C=-C-1|0;for(var P=0;P<L;++P){var O=e(C,c[P]);if(void 0!==O)return O}g(s,l,E++,C)}}},sweepComplete:function(t,e,r,n,a,o,v,m,y,x){for(var b=0,_=2*t,w=t-1,k=_-1,T=r;T<n;++T){var M=o[T]+1<<1,A=_*T;p[b++]=a[A+w],p[b++]=-M,p[b++]=a[A+k],p[b++]=M}for(var T=v;T<m;++T){var M=x[T]+1<<1,S=_*T;p[b++]=y[S+w],p[b++]=1|-M,p[b++]=y[S+k],p[b++]=1|M}var E=b>>>1;i(p,E);for(var L=0,C=0,P=0,T=0;T<E;++T){var O=0|p[2*T+1],z=1&O;if(T<E-1&&O>>1==p[2*T+3]>>1&&(z=2,T+=1),O<0){for(var 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g(t,e,r,n){t[r]=n,e[n]=r}},{\"./sort\":103,\"bit-twiddle\":94,\"typedarray-pool\":543}],105:[function(t,e,r){},{}],106:[function(t,e,r){var n=Object.create||function(t){var e=function(){};return e.prototype=t,new e},a=Object.keys||function(t){var e=[];for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&e.push(r);return r},i=Function.prototype.bind||function(t){var e=this;return function(){return e.apply(t,arguments)}};function o(){this._events&&Object.prototype.hasOwnProperty.call(this,\"_events\")||(this._events=n(null),this._eventsCount=0),this._maxListeners=this._maxListeners||void 0}e.exports=o,o.EventEmitter=o,o.prototype._events=void 0,o.prototype._maxListeners=void 0;var s,l=10;try{var c={};Object.defineProperty&&Object.defineProperty(c,\"x\",{value:0}),s=0===c.x}catch(t){s=!1}function u(t){return void 0===t._maxListeners?o.defaultMaxListeners:t._maxListeners}function h(t,e,r,a){var i,o,s;if(\"function\"!=typeof r)throw new TypeError('\"listener\" argument must be a 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c=(i=r.left=o(i)).right=o(i.right),r.left=c.right,i.right=c.left,c.right=r,c.left=i,c._color=r._color,r._color=a,i._color=a,e._color=a,l(r),l(i),l(c),u>1&&((h=t[u-2]).right===r?h.right=c:h.left=c),void(t[u-1]=c);if(i._color===a){if(r._color===n)return r._color=a,void(r.left=s(n,i));r.left=s(n,i);continue}var h;i=o(i),r.left=i.right,i.right=r,i._color=r._color,r._color=n,l(r),l(i),u>1&&((h=t[u-2]).right===r?h.right=i:h.left=i),t[u-1]=i,t[u]=r,u+1<t.length?t[u+1]=e:t.push(e),u+=2}}}(e),g.left===r?g.left=null:g.right=null,new c(this.tree._compare,e[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return 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t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&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),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"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=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],k=n[15],T=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*k)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var L=[0,0,0];f[M]>0?L[M]=i[1][M]:L[M]=i[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,O=(M+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,O,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(M+1+C)%3,O=(M+1+(1^C))%3;this.zeroEnable[O]&&Math.min(i[0][O],i[1][O])<=0&&Math.max(i[0][O],i[1][O])>=0&&this._lines.drawZero(P,O,this.bounds,L,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(m,A[M].primalMinor),I=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=T/r[5*C];z[C]*=D[C]*R,I[C]*=D[C]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,I,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0?N(n):i>0&&l<0?N(n):i<0&&l>0?N(n):i<0&&l<0?N(n):o>0&&s>0?N(a):o>0&&s<0?N(a):o<0&&s>0?N(a):o<0&&s<0&&N(a)}for(M=0;M<3;++M){var V=A[M].primalMinor,U=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=T*V[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,V,U);for(C=0;C<3;++C)q[C]+=T*V[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)q[C]+=T*V[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.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\":237,\"./lib/cube.js\":238,\"./lib/lines.js\":239,\"./lib/text.js\":241,\"./lib/ticks.js\":242}],237:[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,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var v=c;c=u,u=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,m,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=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,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[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:a,colors:i},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\":240,\"gl-buffer\":244,\"gl-vao\":329}],238:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}for(var w=-1,x=0;x<8;++x){for(var k=l[x][3],T=0;T<3;++T)c[x][T]=l[x][T]/k;p&&(c[x][2]*=-1),k<0&&(w<0?w=x:c[x][2]<c[w][2]&&(w=x))}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S);o(c[P],c[O],c[z],h)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<M);else{for(var C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S),I=d([l[P],l[O],l[z],l[P+(1<<A)+(1<<S)]]);C?E=I:L=I}L>E&&(w|=1<<M)}}}for(var D=7^w,R=-1,x=0;x<8;++x)x!==w&&x!==D&&(R<0?R=x:c[R][1]>c[x][1]&&(R=x));for(var F=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D){F<0&&(F=B);var S=c[B];S[0]<c[F][0]&&(F=B)}}for(var N=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D&&B!==F){N<0&&(N=B);var S=c[B];S[0]>c[N][0]&&(N=B)}}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^N)]=R&N;var V=7^N;V===w||V===D?(V=7^F,j[n.log2(N^V)]=V&N):j[n.log2(F^V)]=V&F;for(var U=v,q=w,M=0;M<3;++M)U[M]=q&1<<M?-1:1;return m};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+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=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=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]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{\"bit-twiddle\":94,\"gl-mat4/multiply\":270,\"robust-orientation\":508,\"split-polygon\":525}],239:[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 h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[h]=f,l[h]=v-f;for(var f=o.length/3|0,m=0;m<r[h].length;++m){var g=+r[h][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;c[h]=f,u[h]=v-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,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,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(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,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],240:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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 a(t,i,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 a(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 a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:410}],241:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=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,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(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:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var v=p[d],m=2;m>=0;--m){var y=f[v[m]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[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||a,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=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,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,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,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,t(\"_process\"))},{\"./shaders\":240,_process:483,\"gl-buffer\":244,\"gl-vao\":329,\"vectorize-text\":548}],242:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;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),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(var o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}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 a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],243:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,m=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,m,x,y)).axis;o(u,p,f),o(u,m,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var k=n(s(u,u));s(u,u);for(var T=0;T<3;++T){var M=(T+1)%3,A=(T+2)%3,S=v;t:for(var w=0;w<2;++w){var E=[];if(b[T]<0!=!!w){S[T]=x[w][T];for(var L=0;L<2;++L){S[M]=x[L^w][M];for(var C=0;C<2;++C)S[A]=x[C^L^w][A],E.push(S.slice())}for(var P=y?5:4,L=P;L===P;++L){if(0===E.length)continue t;E=a.positive(E,k[L])}for(var L=0;L<E.length;++L)for(var A=E[L],O=d(v,u,A,r,l),C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,A[C]),_[C].hi=Math.max(_[C].hi,A[C]),C!==T&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=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 h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":238,\"extract-frustum-planes\":227,\"gl-mat4/multiply\":270,\"gl-mat4/transpose\":279,\"gl-vec4/transformMat4\":400,\"split-polygon\":525}],244:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];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&&\"undefined\"!=typeof 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=i(s,t.shape);a.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 h;h=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?h:h.subarray(0,t.length),e),n.free(h)}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 a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:451,\"ndarray-ops\":445,\"typedarray-pool\":543}],245:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={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]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],v=1/0,m=!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),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(v=Math.min(v,_),m=!1):m=!0}m||(p=x,d=b),g.push(b)}var w=[s,c,h],k=[l,u,f];e&&(e[0]=w,e[1]=k),0===o&&(o=1);var T=1/o;isFinite(v)||(v=1),i.vectorScale=v;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*T),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*T,O=0;O<8;O++){i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":246,\"./lib/shaders\":247,\"gl-vec3\":348}],246:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,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=a,this.triangleVectors=i,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=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.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 a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=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 v=0;v<p.length;++v){var m=p[v];d=Math.min(d,m),g=Math.max(g,m)}else for(v=0;v<n.length;++v){m=n[v][2];d=Math.min(d,m),g=Math.max(g,m)}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(v=0;v<n.length;++v)for(var y=n[v],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(v=0;v<r.length;++v){var _=r[v];switch(_.length){case 3:for(x=0;x<3;++x){y=n[k=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var k;y=n[k=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var T=a[k];o.push(T[0],T[1],T[2],T[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[k]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(v)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,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 f=u[15];for(o=0;o<3;++o)f+=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/f}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||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,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),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},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 s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(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}(t,s),u=function(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}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=a(t),d=a(t),g=a(t),v=a(t),m=a(t),y=new f(t,h,l,u,p,d,m,g,v,i(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return y.update(e),y}},{colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:451}],247:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=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:a,fragment:i,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:410}],248:[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\",34000:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],249:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:410}],252:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(var i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var v=!1;\"stencil\"in n&&(v=!!n.stencil);return new d(t,e,r,f,h,g,v,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{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=v,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m<o;++m)t.color[m]=f(r,a,i,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=p(r,a,i,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=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(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),m=0;m<t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function v(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,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=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,i),h(s)),u(n,i)}}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 v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(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,v(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\":324}],253:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}for(var v=o(e).split(\"\\n\"),p=0;p<v.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var m=v[p];if(c+=m+\"\\n\",f[p+1]){var y=f[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\":64,\"gl-constants/lookup\":249,\"glsl-shader-name\":402,\"sprintf-js\":526}],254:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,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,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.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 a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.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]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),v=1/((h[3]=o[o.length-1])-d),m=e[0],y=e[1];this.shape=[m,y];var x=(m-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=i.mallocUint8(4*x),_=i.mallocFloat32(2*x),w=i.mallocUint8(2*x),k=i.mallocUint32(x),T=0,M=0;M<y-1;++M)for(var A=v*(o[M]-d),S=v*(o[M+1]-d),E=0;E<m-1;++E)for(var L=g*(r[E]-p),C=g*(r[E+1]-p),P=0;P<f.length;P+=2){var O,z,I,D,R=f[P],F=f[P+1],B=s[(M+F)*m+(E+R)],N=n.le(l,B);if(N<0)O=c[0],z=c[1],I=c[2],D=c[3];else if(N===u-1)O=c[4*u-4],z=c[4*u-3],I=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),V=1-j,U=4*N,q=4*(N+1);O=V*c[U]+j*c[q],z=V*c[U+1]+j*c[q+1],I=V*c[U+2]+j*c[q+2],D=V*c[U+3]+j*c[q+3]}b[4*T]=255*O,b[4*T+1]=255*z,b[4*T+2]=255*I,b[4*T+3]=255*D,_[2*T]=.5*L+.5*C,_[2*T+1]=.5*A+.5*S,w[2*T]=R,w[2*T+1]=F,k[T]=M*m+E,T+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),i.free(_),i.free(b),i.free(w),i.free(k)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":255,\"binary-search-bounds\":256,\"gl-buffer\":244,\"gl-shader\":304,\"iota-array\":417,\"typedarray-pool\":543}],255:[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:410}],256:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],257:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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 a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":304,glslify:410}],258:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(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=f(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=a(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=i(e,u);d.wrap=e.REPEAT;var g=new m(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=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\"),h=u.createShader,f=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 a=t[n]-e[n];r+=a*a}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 v(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function m(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,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=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=m.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 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t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*v,t[2]=x*i+b*c+_*p+w*m,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+_*h+w*g,t[5]=x*a+b*l+_*f+w*v,t[6]=x*i+b*c+_*p+w*m,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+_*h+w*g,t[9]=x*a+b*l+_*f+w*v,t[10]=x*i+b*c+_*p+w*m,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+_*h+w*g,t[13]=x*a+b*l+_*f+w*v,t[14]=x*i+b*c+_*p+w*m,t[15]=x*o+b*u+_*d+w*y,t}},{}],271:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-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]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],272:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],273:[function(t,e,r){e.exports=function(t,e,r,n){var 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t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],275:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=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]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],276:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=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]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],277:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return 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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}},{}],280:[function(t,e,r){\"use strict\";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:a(t,e);break;case 16:i(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t};var n=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),i=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":260,\"gl-mat3/invert\":261,\"gl-mat4/invert\":268}],281:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);for(var f=0,p=1/0,h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}for(var v=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),m=0,h=0;h<3;++h){if(v[h]<-.001||v[h]>1.0001)return null;m+=v[h]}if(Math.abs(m-1)>.001)return null;return[f,s(t,v),v]}},{barycentric:75,\"polytope-closest-point/lib/closest_point_2d.js\":482}],282:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=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}\"]),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\\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}\"]),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\\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:a,fragment:i,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:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,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:410}],283:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),v=d.meshShader,m=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 k(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,k,T,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=T,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var T=k.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,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 S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(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 L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}T.isOpaque=function(){return!this.hasAlpha},T.isTransparent=function(){return this.hasAlpha},T.pickSlots=1,T.setPickBase=function(t){this.pickId=t},T.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=a[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},T.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=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[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 a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,A)),k||w||(w=s.vertexNormals(r,n,T));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,z=t.cellIntensity,I=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];I=Math.min(I,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)I=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];I=Math.min(I,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];I=Math.min(I,F),D=Math.max(D,F)}this.intensity=P||(z||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=!(z||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],V=0;V<3;++V)!isNaN(j[V])&&isFinite(j[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],j[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],j[V]));var U=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],V=0;V<3;++V)if(isNaN(j[V])||!isFinite(j[V]))continue t;m.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),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]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(V=0;V<2;++V){j=n[W=G[V]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(V=0;V<2;++V){j=n[W=G[V]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),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]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],g.push(Z[0],Z[1]),v.push(R)}q+=1;break;case 3:for(V=0;V<3;++V)for(j=n[W=G[V]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(V=0;V<3;++V){var W,X,Z,J;j=n[W=G[2-V]];a.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?i.push(X[0],X[1],X[2],this.opacity):(i.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],c.push(Z[0],Z[1]),J=w?w[W]:k[R],l.push(J[0],J[1],J[2]),f.push(R)}U+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=U,this.pointPositions.update(m),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(v)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},T.drawTransparent=T.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,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 h,f=u[15];for(o=0;o<3;++o)f+=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/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.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&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},T.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,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())},T.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,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];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]],h=[(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:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},T.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){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(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.attributes.normal.location=4,e}(t),s=function(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}(t),l=A(t),c=S(t),h=E(t),f=L(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=a(t),g=a(t),y=a(t),x=a(t),b=a(t),_=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=a(t),T=a(t),M=a(t),C=a(t),P=i(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:M,type:t.FLOAT,size:2}]),O=a(t),z=a(t),I=a(t),D=a(t),R=a(t),F=i(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,C,T,M,P,O,R,z,I,D,F,B,i(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},{\"./lib/closest-point\":281,\"./lib/shaders\":282,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:451,normals:454,\"simplicial-complex-contour\":516,\"typedarray-pool\":543}],284:[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=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=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,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],285:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=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,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var v=i[g],m=i[g+2]-v,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*m/x,c[g]=2*(v-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){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],x=m[3]-m[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var k=p[w],T=p[w+2]-k,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*T/A,t[w]=2*(k-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*h[0].length,O=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),I=0+6*O,D=6*Math.max(0,z-O),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*v/y,o[1]=L[1]*v/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*v/y,o[1]=E[0]*v/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*v/y,o[1]=L[3]*v/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*v/y,o[1]=E[2]*v/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D))}}(),d.update=(f=[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)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304}],286:[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=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=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,a,i){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=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],287:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=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:a,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:a,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:a,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:410}],288:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=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,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,v=e.tickColor,m=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],T=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t],r.uniforms.angle=m[t],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t]&&k&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,k)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t+2],r.uniforms.angle=m[t+2],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t+2]&&k&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,k))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=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-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=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],h=i[o],g=i[o+2]-h,v=a[o],m=a[o+2]-v;p[o]=2*l/u*g/m,f[o]=2*(s-c)/u*g/m}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,v=p.font||\"sans-serif\";a=p.fontSize||12;for(var m=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(v,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*m);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304,\"text-cache\":534}],289:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],290:[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=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=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 h(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,a=this.pixelRatio,i=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),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[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],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[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 v=this.borderLineEnable,m=this.borderLineWidth,y=this.borderLineColor;for(v[1]&&o.drawLine(r[0],r[1]-.5*m[1]*a,r[0],r[3]+.5*m[3]*a,m[1],y[1]),v[0]&&o.drawLine(r[0]-.5*m[0]*a,r[1],r[2]+.5*m[2]*a,r[1],m[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*m[1]*a,r[2],r[3]+.5*m[3]*a,m[3],y[3]),v[2]&&o.drawLine(r[0]-.5*m[0]*a,r[3],r[2]+.5*m[2]*a,r[3],m[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,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,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 h=c[u].pick(i,o,l);if(h)return h}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,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),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 i=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=i[s].slice(0);0!==l.length&&(l.sort(h),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:i}),this.text.update({bounds:o,ticks:i,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\":284,\"./lib/grid\":285,\"./lib/line\":286,\"./lib/text\":288,\"gl-select-static\":303}],291:[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=a({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],h=0,f=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,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=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(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}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 h},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,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,v=!!(1&e),m=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,k=d.flipY?1:-1,T=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&v&&!f&&!p&&!g||v&&!f&&!p&&g)&&c.rotate(M,w*T*b,-k*T*_,0),(l&&v&&!f&&!p&&!g||m||v&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&v&&!f&&!p&&!g||y||v&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(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),r.preventDefault()},!!l&&{passive:!1}),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),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":412,\"mouse-change\":436,\"mouse-event-offset\":437,\"mouse-wheel\":439,\"right-now\":502}],292:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=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 a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":304,glslify:410}],293:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=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\"),h=t(\"gl-mat4/perspective\"),f=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 v(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 m(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){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var y=t.gl;y||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),y=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(!y)throw new Error(\"webgl not supported\");var x=t.bounds||[[-10,-10,-10],[10,10,10]],b=new g,_=l(y,y.drawingBufferWidth,y.drawingBufferHeight,{preferFloat:!d}),w=p(y),k=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:k},M=t.axes||{},A=a(y,M);A.enable=!M.disable;var S=t.spikes||{},E=o(y,S),L=[],C=[],P=[],O=[],z=!0,I=!0,D=new Array(16),R=new Array(16),F={view:null,projection:D,model:R,_ortho:!1},I=!0,B=[y.drawingBufferWidth,y.drawingBufferHeight],N=t.cameraObject||n(e,T),j={gl:y,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:b,camera:N,axes:A,axesPixels:null,spikes:E,bounds:x,objects:L,shape:B,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:m(t.autoResize),autoBounds:m(t.autoBounds),autoScale:!!t.autoScale,autoCenter:m(t.autoCenter),clipToBounds:m(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,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,I=!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)}},V=[y.drawingBufferWidth/j.pixelRatio|0,y.drawingBufferHeight/j.pixelRatio|0];function U(){if(!j._stopped&&j.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 a=0|Math.ceil(r*j.pixelRatio),i=0|Math.ceil(n*j.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",z=!0}}}j.autoResize&&U();function q(){for(var t=L.length,e=O.length,r=0;r<e;++r)P[r]=0;t:for(var r=0;r<t;++r){var n=L[r],a=n.pickSlots;if(a){for(var i=0;i<e;++i)if(P[i]+a<255){C[r]=i,n.setPickBase(P[i]+1),P[i]+=a;continue t}var o=s(y,B);C[r]=e,O.push(o),P.push(a),n.setPickBase(1),e+=1}else C[r]=-1}for(;e>0&&0===P[e-1];)P.pop(),O.pop().dispose()}function H(){if(j.contextLost)return!0;y.isContextLost()&&(j.contextLost=!0,j.mouseListener.enabled=!1,j.selection.object=null,j.oncontextloss&&j.oncontextloss())}window.addEventListener(\"resize\",U),j.update=function(t){j._stopped||(t=t||{},z=!0,I=!0)},j.add=function(t){j._stopped||(t.axes=A,L.push(t),C.push(-1),z=!0,I=!0,q())},j.remove=function(t){if(!j._stopped){var e=L.indexOf(t);e<0||(L.splice(e,1),C.pop(),z=!0,I=!0,q())}},j.dispose=function(){if(!j._stopped&&(j._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),j.mouseListener.enabled=!1,!j.contextLost)){A.dispose(),E.dispose();for(var t=0;t<L.length;++t)L[t].dispose();_.dispose();for(var t=0;t<O.length;++t)O[t].dispose();w.dispose(),y=null,A=null,E=null,L=[]}},j._mouseRotating=!1,j._prevButtons=0,j.enableMouseListeners=function(){j.mouseListener=u(e,function(t,e,r){if(!j._stopped){var n=O.length,a=L.length,i=b.object;b.distance=1/0,b.mouse[0]=e,b.mouse[1]=r,b.object=null,b.screen=null,b.dataCoordinate=b.dataPosition=null;var o=!1;if(t&&j._prevButtons)j._mouseRotating=!0;else{j._mouseRotating&&(I=!0),j._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,V[1]-r-1,j.pickRadius);if(l){if(l.distance>b.distance)continue;for(var c=0;c<a;++c){var u=L[c];if(C[c]===s){var h=u.pick(l);h&&(b.buttons=t,b.screen=l.coord,b.distance=l.distance,b.object=u,b.index=h.distance,b.dataPosition=h.position,b.dataCoordinate=h.dataCoordinate,b.data=h,o=!0)}}}}}i&&i!==b.object&&(i.highlight&&i.highlight(null),z=!0),b.object&&(b.object.highlight&&b.object.highlight(b.data),z=!0),(o=o||b.object!==i)&&j.onselect&&j.onselect(b),1&t&&!(1&j._prevButtons)&&j.onclick&&j.onclick(b),j._prevButtons=t}})},e.addEventListener(\"webglcontextlost\",H);var G=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Y=[G[0].slice(),G[1].slice()];function W(){if(!H()){U();var t=j.camera.tick();F.view=j.camera.matrix,z=z||t,I=I||t,A.pixelRatio=j.pixelRatio,E.pixelRatio=j.pixelRatio;var e=L.length,r=G[0],n=G[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var a=0;a<e;++a){var o=L[a];o.pixelRatio=j.pixelRatio,o.axes=j.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)r[p]=Math.min(r[p],l[p]),n[p]=Math.max(n[p],u[p])}var d=j.bounds;if(j.autoBounds)for(var p=0;p<3;++p){if(n[p]<r[p])r[p]=-1,n[p]=1;else{r[p]===n[p]&&(r[p]-=1,n[p]+=1);var g=.05*(n[p]-r[p]);r[p]=r[p]-g,n[p]=n[p]+g}d[0][p]=r[p],d[1][p]=n[p]}for(var m=!1,p=0;p<3;++p)m=m||Y[0][p]!==d[0][p]||Y[1][p]!==d[1][p],Y[0][p]=d[0][p],Y[1][p]=d[1][p];if(I=I||m,z=z||m){if(m){for(var x=[0,0,0],a=0;a<3;++a)x[a]=v((d[1][a]-d[0][a])/10);A.autoTicks?A.update({bounds:d,tickSpacing:x}):A.update({bounds:d})}var T=y.drawingBufferWidth,M=y.drawingBufferHeight;B[0]=T,B[1]=M,V[0]=0|Math.max(T/j.pixelRatio,1),V[1]=0|Math.max(M/j.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;for(var g=0,d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(var d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(j,k);for(var a=0;a<e;++a){var o=L[a];o.axesBounds=d,j.clipToBounds&&(o.clipBounds=d)}b.object&&(j.snapToData?E.position=b.dataCoordinate:E.position=b.dataPosition,E.bounds=d),I&&(I=!1,function(){if(H())return;y.colorMask(!0,!0,!0,!0),y.depthMask(!0),y.disable(y.BLEND),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL);for(var t=L.length,e=O.length,r=0;r<e;++r){var n=O[r];n.shape=V,n.begin();for(var a=0;a<t;++a)if(C[a]===r){var i=L[a];i.drawPick&&(i.pixelRatio=1,i.drawPick(F))}n.end()}}()),j.axesPixels=i(j.axes,F,T,M),j.onrender&&j.onrender(),y.bindFramebuffer(y.FRAMEBUFFER,null),y.viewport(0,0,T,M),j.clearRGBA(),y.depthMask(!0),y.colorMask(!0,!0,!0,!0),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL),y.disable(y.BLEND),y.disable(y.CULL_FACE);var S=!1;A.enable&&(S=S||A.isTransparent(),A.draw(F)),E.axes=A,b.object&&E.draw(F),y.disable(y.CULL_FACE);for(var a=0;a<e;++a){var o=L[a];o.axes=A,o.pixelRatio=j.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(F),o.isTransparent&&o.isTransparent()&&(S=!0)}if(S){_.shape=B,_.bind(),y.clear(y.DEPTH_BUFFER_BIT),y.colorMask(!1,!1,!1,!1),y.depthMask(!0),y.depthFunc(y.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isOpaque&&o.isOpaque()&&o.draw(F)}y.enable(y.BLEND),y.blendEquation(y.FUNC_ADD),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.colorMask(!0,!0,!0,!0),y.depthMask(!1),y.clearColor(0,0,0,0),y.clear(y.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isTransparent&&o.isTransparent()&&o.drawTransparent(F)}y.bindFramebuffer(y.FRAMEBUFFER,null),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.disable(y.DEPTH_TEST),w.bind(),_.color[0].bind(0),w.uniforms.accumBuffer=0,c(y),y.disable(y.BLEND)}z=!1;for(var a=0;a<e;++a)L[a].dirty=!1}}}return j.enableMouseListeners(),function t(){j._stopped||j.contextLost||(W(),requestAnimationFrame(t))}(),j.redraw=function(){j._stopped||(z=!0,W())},j},createCamera:n}},{\"./camera.js\":291,\"./lib/shader\":292,\"a-big-triangle\":62,\"gl-axes3d\":236,\"gl-axes3d/properties\":243,\"gl-fbo\":252,\"gl-mat4/ortho\":271,\"gl-mat4/perspective\":272,\"gl-select-static\":303,\"gl-spikes3d\":313,\"is-mobile\":421,\"mouse-change\":436}],294:[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:410}],295:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,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,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};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,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||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),a||i.free(l),o||i.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,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),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/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[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 h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&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,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":294,\"gl-buffer\":244,\"gl-shader\":304,\"typedarray-pool\":543}],296:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],v=r[3];(i=c*p+u*d+h*g+f*v)<0&&(i=-i,p=-p,d=-d,g=-g,v=-v);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*v,t}},{}],297:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],298:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[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 h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":548}],299:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"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=a([\"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=a([\"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=a([\"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=a([\"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\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};function m(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return m(t,h)},r.createOrtho=function(t){return m(t,f)},r.createProject=function(t){return m(t,p)},r.createPickPerspective=function(t){return m(t,d)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{\"gl-shader\":304,glslify:410}],300:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=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\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t>1?1:t}function v(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,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=h,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),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,h,f,p,d,g,s,c,u);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},m.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],k=h.slice(),T=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=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=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(i[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=k,L=0;L<16;++L)m[L]=0;for(L=0;L<4;++L)m[5*L]=1;m[5*v]=0,a[v]<0?m[12+v]=d[0][v]:m[12+v]=d[1][v],s(m,c,m),l.model=m;var C=(v+1)%3,P=(v+2)%3,O=A(x),z=A(b);O[C]=1,z[P]=1;var I=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,z));if(Math.abs(I[1])>Math.abs(D[1])){var R=I;I=D,D=R,R=O,O=z,z=R;var F=C;C=P,P=F}I[0]<0&&(O[C]=-1),D[1]>0&&(z[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);O[C]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=z,l.fragClipBounds[0]=E(T,g[0],v,-1e8),l.fragClipBounds[1]=E(T,g[1],v,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,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&L(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,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=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.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 a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},m.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},m.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 a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,v=t.angle,m=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],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*T.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,I=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(m)&&Array.isArray(m[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(V=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)D[k]=V[k];D[3]=1}else if(4===V.length){for(k=0;k<4;++k)D[k]=V[k];!this.hasAlpha&&V[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(m)){var V;if(3===(V=B?n<m.length?m[n]:[0,0,0,0]:m).length){for(k=0;k<3;++k)R[k]=V[k];R[k]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var U=.5;j?Array.isArray(d)?U=n<d.length?+d[n]:12:d?U=+d:this.useOrtho&&(U=12):U=0;var q=0;Array.isArray(v)?q=n<v.length?+v[n]:0:v&&(q=+v);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],k=0;k<3;++k)h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=T.cells||[],J=T.positions||[];for(k=0;k<Z.length;++k)for(var K=Z[k],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];C[2*z]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=U*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=M.edges,J=M.positions,k=0;k<Z.length;++k)for(K=Z[k],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*I+$]=w[$];for($=0;$<4;++$)L[4*I+$]=R[$];P[I]=y;tt=J[K[Q]];C[2*I]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=U*(G*tt[0]+H*tt[1]+X[1]),I+=1}}}this.bounds=[u,h],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)},m.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\":297,\"./lib/glyphs\":298,\"./lib/shaders\":299,\"gl-buffer\":244,\"gl-mat4/multiply\":270,\"gl-vao\":329,\"is-string-blank\":424,\"typedarray-pool\":543}],301:[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:410}],302:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=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=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.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),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(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(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,v,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var m=r*u;o.drawBox(h-m,f-m,p+m,f+m,i),o.drawBox(h-m,d-m,p+m,d+m,i),o.drawBox(h-m,f-m,h+m,d+m,i),o.drawBox(p-m,f-m,p+m,d+m,i)}}}},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\":301,\"gl-buffer\":244,\"gl-shader\":304}],303:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new c(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2,s=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}\",args:[{name:\"_inline_16_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_16_a\",\"_inline_16_f\",\"_inline_16_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64});function l(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function c(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 u=c.prototype;Object.defineProperty(u,\"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){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),u.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))},u.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},u.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 a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),c=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||u<=c)return null;var h=[o-a,u-c],f=i(this.buffer,[h[0],h[1],4],[4,4*n[0],1],4*(a+n[0]*c)),p=s(f.hi(h[0],h[1],1),r,r),d=p[0],g=p[1];return d<0||Math.pow(this.radius,2)<p[2]?null:new l(d+a|0,g+c|0,f.get(d,g,0),[f.get(d,g,1),f.get(d,g,2),f.get(d,g,3)],Math.sqrt(p[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":94,\"cwise/lib/wrapper\":151,\"gl-fbo\":252,ndarray:451,\"typedarray-pool\":543}],304:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function 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i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],310:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,a=r.length;n<a;++n){var i=t.programs[r[n]];i&&(delete t.programs[n],e.deleteProgram(i))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var c=l.prototype;function u(t){var e=i.get(t);return e||(e=new l(t),i.set(t,e)),e}c.getShaderReference=function(t,e){var 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&i.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&i.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&i.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&i.drawLine(l,c,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],312:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * 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l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var a,i=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(a=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)a&&a[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=i,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;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\":312,\"gl-buffer\":244,\"gl-vao\":329}],314:[function(t,e,r){var n=t(\"glslify\"),a=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\"]),i=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:a,fragment:i,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:410}],315:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){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,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,v=0,m=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),v=n.length(_)/i,m=a.create(),n.copy(m,_),m[3]=w;for(var k=0;k<8;k++)p[k]=[b[0],b[1],b[2],k];if(f.length>0)for(k=0;k<8;k++){var T=(k+1)%8;c.push(f[k],p[k],p[T],p[T],f[T],f[k]),h.push(y,m,m,m,y,y),d.push(g,v,v,v,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=m,m=S;var E=g;g=v,v=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)}),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],v=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var m=g.cells[c],y=[];f.push(y);for(var x=0;x<m.length;x++)y.push(m[x]+v)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>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 a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),v=s(i[2],u),m=d+1,y=g+1,x=v+1;if(d=l(d,0,h-1),m=l(m,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),v=l(v,0,p-1),x=l(x,0,p-1),d<0||g<0||v<0||m>h-1||y>f-1||x>p-1)return n.create();var b,_,w,k,T,M,A=i[0][d],S=i[0][m],E=i[1][g],L=i[1][y],C=i[2][v],P=(o-A)/(S-A),O=(c-E)/(L-E),z=(u-C)/(i[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,m=h-1-m),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(v=p-1-v,x=p-1-x),r.filled){case 5:T=v,M=x,w=g*p,k=y*p,b=d*p*f,_=m*p*f;break;case 4:T=v,M=x,b=d*p,_=m*p,w=g*p*h,k=y*p*h;break;case 3:w=g,k=y,T=v*f,M=x*f,b=d*f*p,_=m*f*p;break;case 2:w=g,k=y,b=d*f,_=m*f,T=v*f*h,M=x*f*h;break;case 1:b=d,_=m,T=v*h,M=x*h,w=g*h*p,k=y*h*p;break;default:b=d,_=m,w=g*h,k=y*h,T=v*h*f,M=x*h*f}var I=a[b+w+T],D=a[b+w+M],R=a[b+k+T],F=a[b+k+M],B=a[_+w+T],N=a[_+w+M],j=a[_+k+T],V=a[_+k+M],U=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(U,I,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,V,P);var Y=n.create(),W=n.create();n.lerp(Y,U,H,O),n.lerp(W,q,G,O);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1e4),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,i,o),n.add(r,r,s),r},v=[],m=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],k=function(t){var e=t[0],r=t[1],n=t[2];return!(e<m||e>b||r<y||r>_||n<x||n>w)},T=10*n.distance(e[0],e[1])/a,M=T*T,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),v=c(n),m=Math.min(d,g,v);return isFinite(m)?m:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],z=d(C),I=C;O.push(z);var D=[],R=g(C,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),v.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*a&&P.length<a&&k(C);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,T/Math.sqrt(j)),n.add(N,N,C),z=d(N),n.squaredDistance(I,N)-M>-1e-4*M){P.push(N),I=N,O.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var V=o(v,t.colormap,S,A);return h?V.tubeScale=h:(0===S&&(S=1),V.tubeScale=.5*u*A/S),V};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":314,\"gl-cone3d\":245,\"gl-vec3\":348,\"gl-vec4\":384}],316:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"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=a([\"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=a([\"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=a([\"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,i,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,i,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\":304,glslify:410}],317:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],318:[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=a(e),u=i(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),m={levels:[[],[],[]]};for(var k in t)m[k]=t[k];return m.colormap=m.colormap||\"jet\",v.update(m),v};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),v=t(\"ndarray-gradient\"),m=t(\"./lib/shaders\"),y=m.createShader,x=m.createContourShader,b=m.createPickShader,_=m.createPickContourShader,w=40,k=[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]],M=[[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,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=M[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,a,i,o,l,c,u,f,p,d,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,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=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(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.opacityscale=!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 L=E.prototype;L.isTransparent=function(){return this.opacity<1||this.opacityscale},L.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||C,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=P.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[+(i[r]>0)][r],p(l,t.model,l);var c=P.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var z={model:k,view:k,projection:k,inverseModel:k.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=k.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||k,n.view=t.view||k,n.projection=t.projection||k,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 a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][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=D,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=O(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),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=M[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=M[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=M[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:k,view:k,projection:k,inverseModel:k,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 B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(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 j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||k,r.view=t.view||k,r.projection=t.projection||k,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=D;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=O(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(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=M[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=M[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},L.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,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,v=h*(f?l:1-l),m=0;m<3;++m)c[m]+=this._field[m].get(p,d)*v;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]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m<3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},L.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))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(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);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 a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(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 i=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]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var m=g[o];if((Array.isArray(m)||m.length)&&(m=h(m)),m.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(m.data,i);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)v(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),E=w.get(1,o,b,0),L=w.get(1,o,b,1),C=w.get(2,o,b,0),P=w.get(2,o,b,1),O=E*P-L*C,z=C*A-P*M,I=M*L-A*E,D=Math.sqrt(O*O+z*z+I*I);D<1e-8?(D=Math.max(Math.abs(O),Math.abs(z),Math.abs(I)))<1e-8?(I=1,z=O=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,O*D),k.set(o,b,1,z*D),k.set(o,b,2,I*D)}s.free(w.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,V=-1/0,U=(i[0]-1)*(i[1]-1)*6,q=s.mallocFloat(n.nextPow2(10*U)),H=0,G=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var Y=0;Y<2;++Y)for(var W=0;W<2;++W)for(var X=0;X<3;++X){var Z=this._field[X].get(1+o+Y,1+b+W);if(isNaN(Z)||!isFinite(Z))continue t}for(X=0;X<6;++X){var J=o+T[X][0],K=b+T[X][1],Q=this._field[0].get(J+1,K+1),$=this._field[1].get(J+1,K+1);Z=this._field[2].get(J+1,K+1),O=k.get(J+1,K+1,0),z=k.get(J+1,K+1,1),I=k.get(J+1,K+1,2),t.intensity&&(tt=t.intensity.get(J,K));var tt=t.intensity?t.intensity.get(J,K):Z+this.objectOffset[2];q[H++]=J,q[H++]=K,q[H++]=Q,q[H++]=$,q[H++]=Z,q[H++]=0,q[H++]=tt,q[H++]=O,q[H++]=z,q[H++]=I,R[0]=Math.min(R[0],Q+this.objectOffset[0]),R[1]=Math.min(R[1],$+this.objectOffset[1]),R[2]=Math.min(R[2],Z+this.objectOffset[2]),N=Math.min(N,tt),F[0]=Math.max(F[0],Q+this.objectOffset[0]),F[1]=Math.max(F[1],$+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),V=Math.max(V,tt),G+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],V=+t.intensityBounds[1]),o=6;o<H;o+=10)q[o]=(q[o]-N)/(V-N);this._vertexCount=G,this._coordinateBuffer.update(q.subarray(0,H)),s.freeFloat(q),s.free(k.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===V||(r=!0),this.intensityBounds=[N,V]}if(\"levels\"in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o<3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(b=0;b<et[o].length;++b)et[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<et[o].length;++b)if(et[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,i=this.shape;for(var rt=[],nt=0;nt<3;++nt){var at=this.contourLevels[nt],it=[],ot=[],st=[0,0,0];for(o=0;o<at.length;++o){var lt=f(this._field[nt],at[o]);it.push(rt.length/5|0),G=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(X=0;X<2;++X){var ut=lt.positions[ct[X]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),vt=dt-gt,mt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(nt+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),i[0]),W=0;W<2;++W){var _t=W?vt:1-vt;if(K=0|Math.min(Math.max(gt+W,0),i[1]),Z=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=bt*_t;st[yt]+=wt*Z}}}if(mt){if(X>0){for(var kt=0;kt<5;++kt)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ut[0],ut[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=it,this._contourCounts[nt]=ot}var Tt=s.mallocFloat(rt.length);for(o=0;o<rt.length;++o)Tt[o]=rt[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:S,format:\"rgba\"}).map(function(t,r){var n=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}(r/255,e):1;return[t[0],t[1],t[2],255*n]})]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},L.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)},L.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,a=this.shape,i=s.mallocFloat(12*a[0]*a[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],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,v=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var m=g[e],y=0;y<2;++y){var x=v[m[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),k=b-_,T=1-k,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,L=1-E,C=T*L,P=T*E,O=k*L,z=k*E,I=C*h.get(_,A)+P*h.get(_,S)+O*h.get(w,A)+z*h.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+O*p.get(w,A)+z*p.get(w,S);if(isNaN(I)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=I,i[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(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":316,\"binary-search-bounds\":317,\"bit-twiddle\":94,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:451,\"ndarray-gradient\":442,\"ndarray-ops\":445,\"ndarray-pack\":446,\"surface-nets\":529,\"typedarray-pool\":543}],319:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),v=t(\"object-assign\"),m=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var k=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(k.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(k.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(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=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.baseFontSize+\"px sans-serif\");var r,i=!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(k.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:k.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]&&a==e.font[r].baseString||(i=!0,e.font[r]=k.fonts[a],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:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:m(c,{origin:\"top\",fontSize:k.baseFontSize,fontStyle:u.join(\" \")})},k.fonts[a]=e.font[r]}}),(i||o)&&this.font.forEach(function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],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),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){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){k.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);v(t.kerning,g(t.family,{pairs:s}))}}})}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,T=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)T[A++]=t.position[2*M],T[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)T[A++]=t.position[M][0],T[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:T}):this.position=this.regl.buffer({type:\"float\",data:T}),u.freeFloat(T)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,z=0;O<this.counts.length;O++){for(var I=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<I;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(C[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],V=P[2*z],U=P[2*z-1]+.5*j+.5*V;if(this.kerning){var q=D.kerning[N+B];q&&(U+=.001*q)}P[2*z+1]=U}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-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],a=n.step,i=Math.floor(k.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:k.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})})}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,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],k.normalViewport||(a*=-1),a})),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text=\"\",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new Uint8Array([0,0,0,255]),k.prototype.alignOffset=[0,0],k.normalViewport=!1,k.maxAtlasSize=1024,k.atlasCanvas=document.createElement(\"canvas\"),k.atlasContext=k.atlasCanvas.getContext(\"2d\",{alpha:!1}),k.baseFontSize=64,k.fonts={},e.exports=k},{\"bit-twiddle\":94,\"color-normalize\":122,\"css-font\":141,\"detect-kerning\":168,\"es6-weak-map\":320,\"flatten-vertex-data\":230,\"font-atlas\":231,\"font-measure\":232,\"gl-util/context\":325,\"is-plain-obj\":423,\"object-assign\":455,\"parse-rect\":460,\"parse-unit\":462,\"pick-by-alias\":466,regl:500,\"to-px\":537,\"typedarray-pool\":543}],320:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?WeakMap:t(\"./polyfill\")},{\"./is-implemented\":321,\"./polyfill\":323}],321:[function(t,e,r){\"use strict\";e.exports=function(){var t,e;if(\"function\"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},\"one\"],[{},\"two\"],[{},\"three\"]])}catch(t){return!1}return\"[object WeakMap]\"===String(t)&&(\"function\"==typeof t.set&&(t.set({},1)===t&&(\"function\"==typeof t.delete&&(\"function\"==typeof t.has&&\"one\"===t.get(e)))))}},{}],322:[function(t,e,r){\"use strict\";e.exports=\"function\"==typeof WeakMap&&\"[object WeakMap]\"===Object.prototype.toString.call(new WeakMap)},{}],323:[function(t,e,r){\"use strict\";var n,a=t(\"es5-ext/object/is-value\"),i=t(\"es5-ext/object/set-prototype-of\"),o=t(\"es5-ext/object/valid-object\"),s=t(\"es5-ext/object/valid-value\"),l=t(\"es5-ext/string/random-uniq\"),c=t(\"d\"),u=t(\"es6-iterator/get\"),h=t(\"es6-iterator/for-of\"),f=t(\"es6-symbol\").toStringTag,p=t(\"./is-native-implemented\"),d=Array.isArray,g=Object.defineProperty,v=Object.prototype.hasOwnProperty,m=Object.getPrototypeOf;e.exports=n=function(){var t,e=arguments[0];if(!(this instanceof n))throw new TypeError(\"Constructor requires 'new'\");return t=p&&i&&WeakMap!==n?i(new WeakMap,m(this)):this,a(e)&&(d(e)||(e=u(e))),g(t,\"__weakMapData__\",c(\"c\",\"$weakMap$\"+l())),e?(h(e,function(e){s(e),t.set(e[0],e[1])}),t):t},p&&(i&&i(n,WeakMap),n.prototype=Object.create(WeakMap.prototype,{constructor:c(n)})),Object.defineProperties(n.prototype,{delete:c(function(t){return!!v.call(o(t),this.__weakMapData__)&&(delete t[this.__weakMapData__],!0)}),get:c(function(t){if(v.call(o(t),this.__weakMapData__))return t[this.__weakMapData__]}),has:c(function(t){return v.call(o(t),this.__weakMapData__)}),set:c(function(t,e){return g(o(t),this.__weakMapData__,c(\"c\",e)),this}),toString:c(function(){return\"[object 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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=c(e)?e:e.raw;if(r)return function(t,e,r,n,a,i){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new f(t,o,r,n,a,i)}(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 function(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=d(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 h,p,v=0;if(2===o.length)v=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])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");v=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)h=0===e.offset&&e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];p=i.malloc(m,r);var x=n(p,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):u(x,e),h=p.subarray(0,m)}var b=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,c,h),l||i.free(p);return new f(t,b,o[0],o[1],v,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(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 u=function(t,e){a.muls(t,e,255)};function h(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)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 f(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,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 p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new f(t,o,e,r,n,a)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return 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Math.min.apply(Math,e.map(function(e){return e.evaluate(t)}))}],max:[It,sr(It),function(t,e){return Math.max.apply(Math,e.map(function(e){return e.evaluate(t)}))}],abs:[It,[It],function(t,e){var r=e[0];return Math.abs(r.evaluate(t))}],round:[It,[It],function(t,e){var r=e[0].evaluate(t);return r<0?-Math.round(-r):Math.round(r)}],floor:[It,[It],function(t,e){var r=e[0];return Math.floor(r.evaluate(t))}],ceil:[It,[It],function(t,e){var r=e[0];return Math.ceil(r.evaluate(t))}],\"filter-==\":[Rt,[Dt,Nt],function(t,e){var r=e[0],n=e[1];return t.properties()[r.value]===n.value}],\"filter-id-==\":[Rt,[Nt],function(t,e){var r=e[0];return t.id()===r.value}],\"filter-type-==\":[Rt,[Dt],function(t,e){var r=e[0];return t.geometryType()===r.value}],\"filter-<\":[Rt,[Dt,Nt],function(t,e){var r=e[0],n=e[1],a=t.properties()[r.value],i=n.value;return typeof a==typeof i&&a<i}],\"filter-id-<\":[Rt,[Nt],function(t,e){var r=e[0],n=t.id(),a=r.value;return typeof n==typeof 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e[0].evaluate(t).toUpperCase()}],downcase:[Dt,[Dt],function(t,e){return e[0].evaluate(t).toLowerCase()}],concat:[Dt,sr(Nt),function(t,e){return e.map(function(e){return $t(e.evaluate(t))}).join(\"\")}],\"resolved-locale\":[Dt,[jt],function(t,e){return e[0].evaluate(t).resolvedLocale()}]});var _r=function(t,e){this.expression=t,this._warningHistory={},this._evaluator=new le,this._defaultValue=e?function(t){return\"color\"===t.type&&dr(t.default)?new Wt(0,0,0,0):\"color\"===t.type?Wt.parse(t.default)||null:void 0===t.default?null:t.default}(e):null,this._enumValues=e&&\"enum\"===e.type?e.values:null};function wr(t){return Array.isArray(t)&&t.length>0&&\"string\"==typeof t[0]&&t[0]in nr}function kr(t,e){var r=new ge(nr,[],e?function(t){var e={color:Ft,string:Dt,number:It,enum:Dt,boolean:Rt,formatted:Vt};return\"array\"===t.type?Ut(e[t.value]||Nt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?lr(new 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Tr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!fe(e.expression)};Tr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Tr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)};var Mr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!fe(e.expression),this.interpolationType=n};function Ar(t,e){if(\"error\"===(t=kr(t,e)).result)return t;var r=t.value.expression,n=he(r);if(!n&&!ur(e))return cr([new Pt(\"\",\"data expressions not supported\")]);var a=pe(r,[\"zoom\"]);if(!a&&!hr(e))return cr([new Pt(\"\",\"zoom expressions not supported\")]);var i=function t(e){var r=null;if(e instanceof Ue)r=t(e.result);else if(e instanceof Ve)for(var n=0,a=e.args;n<a.length;n+=1){var i=a[n];if(r=t(i))break}else(e instanceof me||e instanceof Ne)&&e.input instanceof ce&&\"zoom\"===e.input.name&&(r=e);return r instanceof Pt?r:(e.eachChild(function(e){var n=t(e);n instanceof Pt?r=n:!r&&n?r=new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):r&&n&&r!==n&&(r=new Pt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))}),r)}(r);if(!i&&!a)return cr([new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(i instanceof Pt)return cr([i]);if(i instanceof Ne&&!fr(e))return cr([new Pt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!i)return lr(new Tr(n?\"constant\":\"source\",t.value));var o=i instanceof Ne?i.interpolation:void 0;return lr(new Mr(n?\"camera\":\"composite\",t.value,i.labels,o))}Mr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Mr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)},Mr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?Ne.interpolationFactor(this.interpolationType,t,e,r):0};var Sr=function(t,e){this._parameters=t,this._specification=e,St(this,function t(e,r){var n,a,i,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||(fr(r)?\"exponential\":\"interval\");if(o&&((e=St({},e)).stops&&(e.stops=e.stops.map(function(t){return[t[0],Wt.parse(t[1])]})),e.default?e.default=Wt.parse(e.default):e.default=Wt.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!Be[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===u)n=xr;else if(\"interval\"===u)n=yr;else if(\"categorical\"===u){n=mr,a=Object.create(null);for(var h=0,f=e.stops;h<f.length;h+=1){var p=f[h];a[p[0]]=p[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?vr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Er(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=pr(r);if(\"object\"!==l)return[new Mt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=Qr;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new Mt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Qr}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Mt(e,r,'missing required property \"'+p+'\"'));return s}function Lr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||Qr;if(\"array\"!==pr(e))return[new Mt(i,e,\"array expected, \"+pr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Mt(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Mt(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===pr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Cr(t){var e=t.key,r=t.value,n=t.valueSpec,a=pr(r);return\"number\"!==a?[new Mt(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Mt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Mt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Pr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===pr(t.value.stops)&&\"array\"===pr(t.value.stops[0])&&\"object\"===pr(t.value.stops[0][0]),u=Er({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new Mt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Lr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===pr(r)&&0===r.length&&e.push(new Mt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Qr({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new Mt(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new Mt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!fr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!ur(t.valueSpec)?u.push(new Mt(t.key,t.value,\"property functions not supported\")):s&&!hr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new Mt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==pr(i))return[new Mt(s,i,\"array expected, \"+pr(i)+\" found\")];if(2!==i.length)return[new Mt(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==pr(i[0]))return[new Mt(s,i,\"object expected, \"+pr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new Mt(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new Mt(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new Mt(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Er({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Cr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return wr(Ct(i[1]))?e.concat([new Mt(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(Qr({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=pr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Mt(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 Mt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return ur(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Mt(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new Mt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new Mt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Mt(t.key,c,\"integer expected, found \"+l)]}}function Or(t){var e=(\"property\"===t.expressionContext?Ar:kr)(Ct(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map(function(e){return new Mt(\"\"+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&&-1!==r.possibleOutputs().indexOf(void 0))return[new Mt(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&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!pe(r,[\"zoom\",\"feature-state\"]))return[new Mt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!he(r))return[new Mt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function zr(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new Mt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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Dr={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function Rr(t){if(null==t)return function(){return!0};Ir(t)||(t=Br(t));var e=kr(t,Dr);if(\"error\"===e.result)throw new Error(e.value.map(function(t){return t.key+\": \"+t.message}).join(\", \"));return function(t,r){return e.value.evaluate(t,r)}}function Fr(t,e){return t<e?-1:t>e?1:0}function Br(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Nr(t[1],t[2],\"==\"):\"!=\"===r?Ur(Nr(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Nr(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(Br))):\"all\"===r?[\"all\"].concat(t.slice(1).map(Br)):\"none\"===r?[\"all\"].concat(t.slice(1).map(Br).map(Ur)):\"in\"===r?jr(t[1],t.slice(2)):\"!in\"===r?Ur(jr(t[1],t.slice(2))):\"has\"===r?Vr(t[1]):\"!has\"!==r||Ur(Vr(t[1]))}function 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l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=pr(r[1]),2!==r.length?o.push(new Mt(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new Mt(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"))}return o}(t)}function Hr(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Qr({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new Mt(r,i,'unknown property \"'+o+'\"')];if(\"string\"===pr(i)&&ur(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new Mt(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var 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zr({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:a,styleSpec:n})}}function Zr(t){var e=t.value,r=t.styleSpec,n=r.light,a=t.style,i=[],o=pr(e);if(void 0===e)return i;if(\"object\"!==o)return i.concat([new Mt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);i=l&&n[l[1]]&&n[l[1]].transition?i.concat(Qr({key:s,value:e[s],valueSpec:r.transition,style:a,styleSpec:r})):n[s]?i.concat(Qr({key:s,value:e[s],valueSpec:n[s],style:a,styleSpec:r})):i.concat([new Mt(s,e[s],'unknown property \"'+s+'\"')])}return i}function Jr(t){var e=t.value,r=t.key,n=pr(e);return\"string\"!==n?[new Mt(r,e,\"string expected, \"+n+\" found\")]:[]}var Kr={\"*\":function(){return[]},array:Lr,boolean:function(t){var e=t.value,r=t.key,n=pr(e);return\"boolean\"!==n?[new Mt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:Cr,color:function(t){var e=t.key,r=t.value,n=pr(r);return\"string\"!==n?[new Mt(e,r,\"color expected, \"+n+\" found\")]:null===Yt(r)?[new Mt(e,r,'color expected, \"'+r+'\" found')]:[]},constants:At,enum:zr,filter:qr,function:Pr,layer:Wr,object:Er,source:Xr,light:Zr,string:Jr,formatted:function(t){return 0===Jr(t).length?[]:Or(t)}};function Qr(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&dr(Lt(e))?Pr(t):r.expression&&wr(Ct(e))?Or(t):r.type&&Kr[r.type]?Kr[r.type](t):Er(St({},t,{valueSpec:r.type?n[r.type]:r}))}function $r(t){var e=t.value,r=t.key,n=Jr(t);return n.length?n:(-1===e.indexOf(\"{fontstack}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{fontstack}\" token')),-1===e.indexOf(\"{range}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{range}\" token')),n)}function tn(t,e){e=e||Tt;var r=[];return 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this._forEachCell(t,e,r,n,this._queryCell,s,{},a),s},hn.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=this.cells[a];if(null!==l)for(var c=this.keys,u=this.bboxes,h=0;h<l.length;h++){var f=l[h];if(void 0===o[f]){var p=4*f;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[f]=!0,i.push(c[f])):o[f]=!1}}},hn.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),h=this._convertToCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.d*p+f;if((!s||s(this._convertFromCellCoord(f),this._convertFromCellCoord(p),this._convertFromCellCoord(f+1),this._convertFromCellCoord(p+1)))&&a.call(this,t,e,r,n,d,i,o,s))return}},hn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},hn.prototype._convertToCellCoord=function(t){return 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c=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var u in t)if(t.hasOwnProperty(u)&&!(pn[l].omit.indexOf(u)>=0)){var h=t[u];c[u]=pn[l].shallow.indexOf(u)>=0?h:vn(h,e)}t instanceof Error&&(c.message=t.message)}if(c.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(c.$name=l),c}throw new Error(\"can't serialize object of type \"+typeof t)}function mn(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||t instanceof ArrayBuffer||ArrayBuffer.isView(t)||t instanceof fn)return t;if(Array.isArray(t))return t.map(mn);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=pn[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),a=0,i=Object.keys(t);a<i.length;a+=1){var o=i[a];if(\"$name\"!==o){var 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t},e}(Zn);aa.prototype.bytesPerElement=12,dn(\"StructArrayLayout3f12\",aa);var ia=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}(Zn);ia.prototype.bytesPerElement=4,dn(\"StructArrayLayout1ul4\",ia);var oa=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,a,i,o,s,l,c,u){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,a,i,o,s,l,c,u)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=12*t,p=6*t;return this.int16[f+0]=e,this.int16[f+1]=r,this.int16[f+2]=n,this.int16[f+3]=a,this.int16[f+4]=i,this.int16[f+5]=o,this.uint32[p+3]=s,this.uint16[f+8]=l,this.uint16[f+9]=c,this.int16[f+10]=u,this.int16[f+11]=h,t},e}(Zn);oa.prototype.bytesPerElement=24,dn(\"StructArrayLayout6i1ul2ui2i24\",oa);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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,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]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(Zn);sa.prototype.bytesPerElement=12,dn(\"StructArrayLayout2i2i2i12\",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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=12*t,o=3*t;return this.uint8[i+0]=e,this.uint8[i+1]=r,this.float32[o+1]=n,this.float32[o+2]=a,t},e}(Zn);la.prototype.bytesPerElement=12,dn(\"StructArrayLayout2ub2f12\",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._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,a,i,o,s,l,c,u,h,f,p,d,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v){var m=22*t,y=11*t,x=44*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=a,this.uint32[y+2]=i,this.uint32[y+3]=o,this.uint32[y+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=c,this.uint16[m+12]=u,this.float32[y+7]=h,this.float32[y+8]=f,this.uint8[x+36]=p,this.uint8[x+37]=d,this.uint8[x+38]=g,this.uint32[y+10]=v,t},e}(Zn);ca.prototype.bytesPerElement=44,dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul44\",ca);var ua=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,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x){var b=this.length;return this.resize(b+1),this.emplace(b,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b){var _=24*t,w=12*t;return this.int16[_+0]=e,this.int16[_+1]=r,this.int16[_+2]=n,this.int16[_+3]=a,this.int16[_+4]=i,this.int16[_+5]=o,this.uint16[_+6]=s,this.uint16[_+7]=l,this.uint16[_+8]=c,this.uint16[_+9]=u,this.uint16[_+10]=h,this.uint16[_+11]=f,this.uint16[_+12]=p,this.uint16[_+13]=d,this.uint16[_+14]=g,this.uint16[_+15]=v,this.uint16[_+16]=m,this.uint32[w+9]=y,this.float32[w+10]=x,this.float32[w+11]=b,t},e}(Zn);ua.prototype.bytesPerElement=48,dn(\"StructArrayLayout6i11ui1ul2f48\",ua);var ha=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}(Zn);ha.prototype.bytesPerElement=4,dn(\"StructArrayLayout1f4\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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 a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(Zn);fa.prototype.bytesPerElement=6,dn(\"StructArrayLayout3i6\",fa);var pa=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 a=2*t,i=4*t;return this.uint32[a+0]=e,this.uint16[i+2]=r,this.uint16[i+3]=n,t},e}(Zn);pa.prototype.bytesPerElement=8,dn(\"StructArrayLayout1ul2ui8\",pa);var da=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 a=3*t;return this.uint16[a+0]=e,this.uint16[a+1]=r,this.uint16[a+2]=n,t},e}(Zn);da.prototype.bytesPerElement=6,dn(\"StructArrayLayout3ui6\",da);var ga=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}(Zn);ga.prototype.bytesPerElement=4,dn(\"StructArrayLayout2ui4\",ga);var va=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}(Zn);va.prototype.bytesPerElement=2,dn(\"StructArrayLayout1ui2\",va);var ma=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}(Zn);ma.prototype.bytesPerElement=8,dn(\"StructArrayLayout2f8\",ma);var ya=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 a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(Zn);ya.prototype.bytesPerElement=16,dn(\"StructArrayLayout4f16\",ya);var xa=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},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Xn);xa.prototype.size=24;var ba=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 xa(this,t)},e}(oa);dn(\"CollisionBoxArray\",ba);var _a=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}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return 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i=this.zoomInPaintVertexArray,o=this.zoomOutPaintVertexArray,s=this.layerId;if(a&&r.patterns&&r.patterns[s]){var l=r.patterns[s],c=l.min,u=l.mid,h=l.max,f=a[c],p=a[u],d=a[h];if(!f||!p||!d)return;for(var g=t;g<e;g++)i.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],f.tl[0],f.tl[1],f.br[0],f.br[1]),o.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],d.tl[0],d.tl[1],d.br[0],d.br[1])}},Ja.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ja.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()},Ja.prototype.setUniforms=function(t,e){e.set(0)},Ja.prototype.getBinding=function(t,e){return new Ba(t,e)};var Ka=function(){this.binders={},this.cacheKey=\"\",this._buffers=[],this._featureMap=new Ia,this._bufferOffset=0};Ka.createDynamic=function(t,e,r){var n=new Ka,a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof Bn&&ur(o.property.specification)){var s=$a(i,t.type),l=o.property.specification.type,c=o.property.useIntegerZoom;if(\"cross-faded\"===o.property.specification[\"property-type\"]||\"cross-faded-data-driven\"===o.property.specification[\"property-type\"])if(\"constant\"===o.value.kind)n.binders[i]=new Wa(o.value.value,s,l),a.push(\"/u_\"+i);else{var u=ti(i,l,\"source\");n.binders[i]=new Ja(o.value,s,l,c,e,u,t.id),a.push(\"/a_\"+i)}else if(\"constant\"===o.value.kind)n.binders[i]=new Ya(o.value.value,s,l),a.push(\"/u_\"+i);else if(\"source\"===o.value.kind){var h=ti(i,l,\"source\");n.binders[i]=new Xa(o.value,s,l,h),a.push(\"/a_\"+i)}else{var f=ti(i,l,\"composite\");n.binders[i]=new Za(o.value,s,l,c,e,f),a.push(\"/z_\"+i)}}}return n.cacheKey=a.sort().join(\"\"),n},Ka.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders)this.binders[i].populatePaintArray(t,e,n,a);void 0!==e.id&&this._featureMap.add(+e.id,r,this._bufferOffset,t),this._bufferOffset=t},Ka.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders)this.binders[r].setConstantPatternPositions(t,e)},Ka.prototype.updatePaintArrays=function(t,e,r,n){var a=!1;for(var i in t)for(var o=0,s=this._featureMap.getPositions(+i);o<s.length;o+=1){var l=s[o],c=e.feature(l.index);for(var u in this.binders){var h=this.binders[u];if(!(h instanceof Ya||h instanceof Wa)&&!0===h.expression.isStateDependent){var f=r.paint.get(u);h.expression=f.value,h.updatePaintArray(l.start,l.end,c,t[i],n),a=!0}}}return a},Ka.prototype.defines=function(){var t=[];for(var e in this.binders)t.push.apply(t,this.binders[e].defines());return t},Ka.prototype.getPaintVertexBuffers=function(){return this._buffers},Ka.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders)for(var a=this.binders[n],i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s]);r.push({name:s,property:n,binding:l})}}return r},Ka.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniforms(t,c,n,r.get(l),s)}},Ka.prototype.updatePatternPaintBuffers=function(t){var e=[];for(var r in this.binders){var n=this.binders[r];if(n instanceof Ja){var a=2===t.fromScale?n.zoomInPaintVertexBuffer:n.zoomOutPaintVertexBuffer;a&&e.push(a)}else(n instanceof Xa||n instanceof Za)&&n.paintVertexBuffer&&e.push(n.paintVertexBuffer)}this._buffers=e},Ka.prototype.upload=function(t){for(var e in this.binders)this.binders[e].upload(t);var r=[];for(var n in this.binders){var a=this.binders[n];(a instanceof Xa||a instanceof Za)&&a.paintVertexBuffer&&r.push(a.paintVertexBuffer)}this._buffers=r},Ka.prototype.destroy=function(){for(var t in this.binders)this.binders[t].destroy()};var Qa=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=Ka.createDynamic(o,r,n),this.programConfigurations[o.id].layoutAttributes=t}this.needsUpload=!1};function $a(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\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function ti(t,e,r){var n={color:{source:ma,composite:ya},number:{source:ha,composite:ma}},a=function(t){return{\"line-pattern\":{source:ra,composite:ra},\"fill-pattern\":{source:ra,composite:ra},\"fill-extrusion-pattern\":{source:ra,composite:ra}}[t]}(t);return a&&a[r]||n[e][r]}Qa.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.programConfigurations)this.programConfigurations[i].populatePaintArrays(t,e,r,n,a);this.needsUpload=!0},Qa.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,e,o,n)||this.needsUpload}},Qa.prototype.get=function(t){return this.programConfigurations[t]},Qa.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Qa.prototype.destroy=function(){for(var t in 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t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qn,this.indexArray=new da,this.segments=new Oa,this.programConfigurations=new Qa(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function oi(t,e){for(var r=0;r<t.length;r++)if(gi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(gi(t,e[n]))return!0;return!!ui(t,e)}function si(t,e,r){return!!gi(t,e)||!!fi(e,t,r)}function li(t,e){if(1===t.length)return di(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(gi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(di(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(ui(t,e[o]))return!0;return!1}function ci(t,e,r){if(t.length>1){if(ui(t,e))return!0;for(var n=0;n<e.length;n++)if(fi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(fi(t[a],e,r))return!0;return!1}function ui(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(hi(n,a,e[i],e[i+1]))return!0;return!1}function hi(t,e,r,n){return k(t,r,n)!==k(e,r,n)&&k(t,e,r)!==k(t,e,n)}function fi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(pi(t,e[a-1],e[a])<n)return!0;return!1}function pi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return a<0?t.distSqr(e):a>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(a)._add(e))}function di(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],a=r[l],n.y>e.y!=a.y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function gi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function vi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=k(t,e,r[0]);return i!==k(t,e,r[1])||i!==k(t,e,r[2])||i!==k(t,e,r[3])}function mi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).binders[t].maxValue}function yi(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function xi(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}ii.prototype.populate=function(t,e){var r=this.layers[0],n=[],a=null;\"circle\"===r.type&&(a=r.layout.get(\"circle-sort-key\"));for(var i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.index,u=s.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),l)){var h=ni(l),f=a?a.evaluate(l,{}):void 0,p={id:l.id,properties:l.properties,type:l.type,sourceLayerIndex:u,index:c,geometry:h,patterns:{},sortKey:f};n.push(p)}}a&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var d=0,g=n;d<g.length;d+=1){var v=g[d],m=v,y=m.geometry,x=m.index,b=m.sourceLayerIndex,_=t[x].feature;this.addFeature(v,y,x),e.featureIndex.insert(_,y,x,b,this.index)}},ii.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ii.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ii.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ii.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Pa),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ii.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ii.prototype.addFeature=function(t,e,r){for(var n=0,a=e;n<a.length;n+=1)for(var i=0,o=a[n];i<o.length;i+=1){var s=o[i],l=s.x,c=s.y;if(!(l<0||l>=ei||c<0||c>=ei)){var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=u.vertexLength;ai(this.layoutVertexArray,l,c,-1,-1),ai(this.layoutVertexArray,l,c,1,-1),ai(this.layoutVertexArray,l,c,1,1),ai(this.layoutVertexArray,l,c,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),u.vertexLength+=4,u.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{})},dn(\"CircleBucket\",ii,{omit:[\"layers\"]});var bi,_i=new Gn({\"circle-sort-key\":new Vn(Tt.layout_circle[\"circle-sort-key\"])}),wi={paint:new Gn({\"circle-radius\":new Vn(Tt.paint_circle[\"circle-radius\"]),\"circle-color\":new Vn(Tt.paint_circle[\"circle-color\"]),\"circle-blur\":new Vn(Tt.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Vn(Tt.paint_circle[\"circle-opacity\"]),\"circle-translate\":new jn(Tt.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new ii(t)},e.prototype.queryRadius=function(t){var e=t;return mi(\"circle-radius\",this,e)+mi(\"circle-stroke-width\",this,e)+yi(this.paint.get(\"circle-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,i,o,s){for(var l=xi(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),i.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return l.map(function(t){return Ai(t,e)})}(0,s),f=u?c*o:c,p=0,d=n;p<d.length;p+=1)for(var g=0,v=d[p];g<v.length;g+=1){var 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i=Ei({},{width:n,height:a},r);Ci(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function Ci(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}dn(\"HeatmapBucket\",Si,{omit:[\"layers\"]});var Pi=function(t,e){Ei(this,t,1,e)};Pi.prototype.resize=function(t){Li(this,t,1)},Pi.prototype.clone=function(){return new Pi({width:this.width,height:this.height},new Uint8Array(this.data))},Pi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,1)};var Oi=function(t,e){Ei(this,t,4,e)};Oi.prototype.resize=function(t){Li(this,t,4)},Oi.prototype.replace=function(t,e){e?this.data.set(t):t instanceof Uint8ClampedArray?this.data=new Uint8Array(t.buffer):this.data=t},Oi.prototype.clone=function(){return new Oi({width:this.width,height:this.height},new Uint8Array(this.data))},Oi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,4)},dn(\"AlphaImage\",Pi),dn(\"RGBAImage\",Oi);var zi={paint:new Gn({\"heatmap-radius\":new Vn(Tt.paint_heatmap[\"heatmap-radius\"]),\"heatmap-weight\":new Vn(Tt.paint_heatmap[\"heatmap-weight\"]),\"heatmap-intensity\":new jn(Tt.paint_heatmap[\"heatmap-intensity\"]),\"heatmap-color\":new Hn(Tt.paint_heatmap[\"heatmap-color\"]),\"heatmap-opacity\":new jn(Tt.paint_heatmap[\"heatmap-opacity\"])})};function Ii(t,e){for(var r=new Uint8Array(1024),n={},a=0,i=0;a<256;a++,i+=4){n[e]=a/255;var o=t.evaluate(n);r[i+0]=Math.floor(255*o.r/o.a),r[i+1]=Math.floor(255*o.g/o.a),r[i+2]=Math.floor(255*o.b/o.a),r[i+3]=Math.floor(255*o.a)}return new 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},So.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,a=0,i=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)(a+=t.readSVarint())<o&&(o=a),a>s&&(s=a),(i+=t.readSVarint())<l&&(l=i),i>c&&(c=i);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},So.prototype.toGeoJSON=function(t,e,r){var n,a,i=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=So.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/i;t[e]=[360*(r.x+o)/i-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);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,a=[],i=0;i<e;i++){var o=Lo(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Co=Po;function Po(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(Oo,this,e),this.length=this._features.length}function Oo(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){for(var e=null,r=t.readVarint()+t.pos;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 zo(t,e,r){if(3===t){var n=new Co(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Po.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 Ao(this._pbf,e,this.extent,this._keys,this._values)};var Io={VectorTile:function(t,e){this.layers=t.readFields(zo,{},e)},VectorTileFeature:Ao,VectorTileLayer:Co},Do=Io.VectorTileFeature.types,Ro=Math.pow(2,13);function Fo(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ro)+o,a*Ro*2,i*Ro*2,Math.round(s))}var Bo=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 ta,this.indexArray=new da,this.programConfigurations=new Qa(Mo,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function No(t,e){return t.x===e.x&&(t.x<0||t.x>ei)||t.y===e.y&&(t.y<0||t.y>ei)}function jo(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>ei})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>ei})}Bo.prototype.populate=function(t,e){this.features=[],this.hasPattern=xo(\"fill-extrusion\",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var a=n[r],i=a.feature,o=a.index,s=a.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),i)){var l=ni(i),c={sourceLayerIndex:s,index:o,geometry:l,properties:i.properties,type:i.type,patterns:{}};void 0!==i.id&&(c.id=i.id),this.hasPattern?this.features.push(bo(\"fill-extrusion\",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(i,l,o,s,this.index,!0)}}},Bo.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var a=n[r],i=a.geometry;this.addFeature(a,i,a.index,e)}},Bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Mo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Bo.prototype.addFeature=function(t,e,r,n){for(var a=0,i=mo(e,500);a<i.length;a+=1){for(var o=i[a],s=0,l=0,c=o;l<c.length;l+=1)s+=c[l].length;for(var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,f=o;h<f.length;h+=1){var p=f[h];if(0!==p.length&&!jo(p))for(var d=0,g=0;g<p.length;g++){var v=p[g];if(g>=1){var m=p[g-1];if(!No(v,m)){u.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var y=v.sub(m)._perp()._unit(),x=m.dist(v);d+x>32768&&(d=0),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,1,d),d+=x,Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,1,d);var b=u.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),u.vertexLength+=4,u.primitiveLength+=2}}}}if(u.vertexLength+s>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(s,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Do[t.type]){for(var _=[],w=[],k=u.vertexLength,T=0,M=o;T<M.length;T+=1){var A=M[T];if(0!==A.length){A!==o[0]&&w.push(_.length/2);for(var S=0;S<A.length;S++){var E=A[S];Fo(this.layoutVertexArray,E.x,E.y,0,0,1,1,0),_.push(E.x),_.push(E.y)}}}for(var L=Ni(_,w),C=0;C<L.length;C+=3)this.indexArray.emplaceBack(k+L[C],k+L[C+2],k+L[C+1]);u.primitiveLength+=L.length/3,u.vertexLength+=s}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,n)},dn(\"FillExtrusionBucket\",Bo,{omit:[\"layers\",\"features\"]});var Vo={paint:new Gn({\"fill-extrusion-opacity\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Un(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Uo=function(t){function e(e){t.call(this,e,Vo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Bo(t)},e.prototype.queryRadius=function(){return yi(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=xi(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),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];Ti(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,v=t;g<v.length;g+=1){for(var m=[],y=[],x=0,b=v[g];x<b.length;x+=1){var _=b[x],w=_.x,k=_.y,T=n[0]*w+n[4]*k+n[12],M=n[1]*w+n[5]*k+n[13],A=n[2]*w+n[6]*k+n[14],S=n[3]*w+n[7]*k+n[15],E=A+c,L=S+u,C=T+h,P=M+f,O=A+p,z=S+d,I=new a((T+s)/L,(M+l)/L);I.z=E/L,m.push(I);var D=new a(C/z,P/z);D.z=O/z,y.push(D)}i.push(m),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;li(r,e)&&(n=Ho(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=i[s+1],u=o[s],h=[l,c,o[s+1],u,l];oi(r,h)&&(n=Math.min(n,Ho(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}(Yn);function qo(t,e){return t.x*e.x+t.y*e.y}function Ho(t,e){if(1===t.length){var r=e[0],n=e[1],a=e[3],i=t[0],o=n.sub(r),s=a.sub(r),l=i.sub(r),c=qo(o,o),u=qo(o,s),h=qo(s,s),f=qo(l,o),p=qo(l,s),d=c*h-u*u,g=(h*f-u*p)/d,v=(c*p-u*f)/d,m=1-g-v;return r.z*m+n.z*g+a.z*v}for(var y=1/0,x=0,b=e;x<b.length;x+=1){var _=b[x];y=Math.min(y,_.z)}return y}var Go=Jn([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Yo=Io.VectorTileFeature.types,Wo=Math.cos(Math.PI/180*37.5),Xo=Math.pow(2,14)/.5,Zo=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 ea,this.indexArray=new da,this.programConfigurations=new Qa(Go,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};Zo.prototype.populate=function(t,e){this.hasPattern=xo(\"line\",this.layers,e);for(var r=this.layers[0].layout.get(\"line-sort-key\"),n=[],a=0,i=t;a<i.length;a+=1){var o=i[a],s=o.feature,l=o.index,c=o.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),s)){var u=ni(s),h=r?r.evaluate(s,{}):void 0,f={id:s.id,properties:s.properties,type:s.type,sourceLayerIndex:c,index:l,geometry:u,patterns:{},sortKey:h};n.push(f)}}r&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var p=0,d=n;p<d.length;p+=1){var g=d[p],v=g,m=v.geometry,y=v.index,x=v.sourceLayerIndex;if(this.hasPattern){var b=bo(\"line\",this.layers,g,this.zoom,e);this.patternFeatures.push(b)}else this.addFeature(g,m,y,{});var _=t[y].feature;e.featureIndex.insert(_,m,y,x,this.index)}},Zo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Zo.prototype.addFeatures=function(t,e){for(var r=0,n=this.patternFeatures;r<n.length;r+=1){var a=n[r];this.addFeature(a,a.geometry,a.index,e)}},Zo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Zo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Zo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Go),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Zo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Zo.prototype.addFeature=function(t,e,r,n){for(var a=this.layers[0].layout,i=a.get(\"line-join\").evaluate(t,{}),o=a.get(\"line-cap\"),s=a.get(\"line-miter-limit\"),l=a.get(\"line-round-limit\"),c=0,u=e;c<u.length;c+=1){var h=u[c];this.addLine(h,t,i,o,s,l,r,n)}},Zo.prototype.addLine=function(t,e,r,n,a,i,o,s){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 l=0;l<t.length-1;l++)this.totalDistance+=t[l].dist(t[l+1])}for(var c=\"Polygon\"===Yo[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var h=0;h<u-1&&t[h].equals(t[h+1]);)h++;if(!(u<(c?3:2))){\"bevel\"===r&&(a=1.05);var f,p=ei/(512*this.overscaling)*15,d=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray),g=void 0,v=void 0,m=void 0,y=void 0;this.e1=this.e2=-1,c&&(f=t[u-2],y=t[h].sub(f)._unit()._perp());for(var x=h;x<u;x++)if(!(v=c&&x===u-1?t[h+1]:t[x+1])||!t[x].equals(v)){y&&(m=y),f&&(g=f),f=t[x],y=v?v.sub(f)._unit()._perp():m;var b=(m=m||y).add(y);0===b.x&&0===b.y||b._unit();var _=m.x*y.x+m.y*y.y,w=b.x*y.x+b.y*y.y,k=0!==w?1/w:1/0,T=2*Math.sqrt(2-2*w),M=w<Wo&&g&&v,A=m.x*y.y-m.y*y.x>0;if(M&&x>h){var S=f.dist(g);if(S>2*p){var E=f.sub(f.sub(g)._mult(p/S)._round());this.updateDistance(g,E),this.addCurrentVertex(E,m,0,0,d),g=E}}var L=g&&v,C=L?r:c?\"butt\":n;if(L&&\"round\"===C&&(k<i?C=\"miter\":k<=2&&(C=\"fakeround\")),\"miter\"===C&&k>a&&(C=\"bevel\"),\"bevel\"===C&&(k>2&&(C=\"flipbevel\"),k<a&&(C=\"miter\")),g&&this.updateDistance(g,f),\"miter\"===C)b._mult(k),this.addCurrentVertex(f,b,0,0,d);else if(\"flipbevel\"===C){if(k>100)b=y.mult(-1);else{var P=k*m.add(y).mag()/m.sub(y).mag();b._perp()._mult(P*(A?-1:1))}this.addCurrentVertex(f,b,0,0,d),this.addCurrentVertex(f,b.mult(-1),0,0,d)}else if(\"bevel\"===C||\"fakeround\"===C){var O=-Math.sqrt(k*k-1),z=A?O:0,I=A?0:O;if(g&&this.addCurrentVertex(f,m,z,I,d),\"fakeround\"===C)for(var D=Math.round(180*T/Math.PI/20),R=1;R<D;R++){var F=R/D;if(.5!==F){var B=F-.5;F+=F*B*(F-1)*((1.0904+_*(_*(3.55645-1.43519*_)-3.2452))*B*B+(.848013+_*(.215638*_-1.06021)))}var N=y.sub(m)._mult(F)._add(m)._unit()._mult(A?-1:1);this.addHalfVertex(f,N.x,N.y,!1,A,0,d)}v&&this.addCurrentVertex(f,y,-z,-I,d)}else if(\"butt\"===C)this.addCurrentVertex(f,b,0,0,d);else if(\"square\"===C){var j=g?1:-1;this.addCurrentVertex(f,b,j,j,d)}else\"round\"===C&&(g&&(this.addCurrentVertex(f,m,0,0,d),this.addCurrentVertex(f,m,1,1,d,!0)),v&&(this.addCurrentVertex(f,y,-1,-1,d,!0),this.addCurrentVertex(f,y,0,0,d)));if(M&&x<u-1){var V=f.dist(v);if(V>2*p){var U=f.add(v.sub(f)._mult(p/V)._round());this.updateDistance(f,U),this.addCurrentVertex(U,y,0,0,d),f=U}}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e,o,s)}},Zo.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!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,i,!1,r,a),this.addHalfVertex(t,l,c,i,!0,-n,a),this.distance>Xo/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Zo.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<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++),a?this.e2=u:this.e1=u},Zo.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Xo-1):this.distance},dn(\"LineBucket\",Zo,{omit:[\"layers\",\"patternFeatures\"]});var Jo=new Gn({\"line-cap\":new jn(Tt.layout_line[\"line-cap\"]),\"line-join\":new Vn(Tt.layout_line[\"line-join\"]),\"line-miter-limit\":new jn(Tt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new jn(Tt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Vn(Tt.layout_line[\"line-sort-key\"])}),Ko={paint:new Gn({\"line-opacity\":new Vn(Tt.paint_line[\"line-opacity\"]),\"line-color\":new Vn(Tt.paint_line[\"line-color\"]),\"line-translate\":new jn(Tt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new jn(Tt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Vn(Tt.paint_line[\"line-width\"]),\"line-gap-width\":new Vn(Tt.paint_line[\"line-gap-width\"]),\"line-offset\":new Vn(Tt.paint_line[\"line-offset\"]),\"line-blur\":new Vn(Tt.paint_line[\"line-blur\"]),\"line-dasharray\":new qn(Tt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Un(Tt.paint_line[\"line-pattern\"]),\"line-gradient\":new Hn(Tt.paint_line[\"line-gradient\"])}),layout:Jo},Qo=new(function(t){function e(){t.apply(this,arguments)}return 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t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Ii(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values[\"line-floorwidth\"]=Qo.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new Zo(t)},e.prototype.queryRadius=function(t){var e=t,r=ts(mi(\"line-width\",this,e),mi(\"line-gap-width\",this,e)),n=mi(\"line-offset\",this,e);return r/2+Math.abs(n)+yi(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=xi(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*ts(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],h=o[l+1],f=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:h.sub(u)._unit()._perp(),d=f._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 a=e[n];if(t.length>=3)for(var i=0;i<a.length;i++)if(gi(t,a[i]))return!0;if(ci(t,a,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Yn);function ts(t,e){return e>0?e+2*t:t}var 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os(t,e,r){return t.sections.forEach(function(t){t.text=function(t,e,r){var 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hs(t,e,r,n,a,i,o,s,l,c,u){var h,f=us.fromFeature(t,r);c===cs.vertical&&f.verticalizePunctuation();var p=Cn.processBidirectionalText,d=Cn.processStyledBidirectionalText;if(p&&1===f.sections.length){h=[];for(var g=0,v=p(f.toString(),ms(f,s,n,e));g<v.length;g+=1){var m=v[g],y=new us;y.text=m,y.sections=f.sections;for(var x=0;x<m.length;x++)y.sectionIndex.push(0);h.push(y)}}else if(d){h=[];for(var b=0,_=d(f.text,f.sectionIndex,ms(f,s,n,e));b<_.length;b+=1){var w=_[b],k=new us;k.text=w[0],k.sectionIndex=w[1],k.sections=f.sections,h.push(k)}}else h=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(f,ms(f,s,n,e));var T=[],M={positionedGlyphs:T,text:f.toString(),top:l[1],bottom:l[1],left:l[0],right:l[0],writingMode:c,lineCount:h.length,yOffset:-17};return function(t,e,r,n,a,i,o,s,l){for(var c=0,u=t.yOffset,h=0,f=t.positionedGlyphs,p=\"right\"===i?1:\"left\"===i?0:.5,d=0,g=r;d<g.length;d+=1){var v=g[d];v.trim();var m=v.getMaxScale();if(v.length()){for(var y=f.length,x=0;x<v.length();x++){var b=v.getSection(x),_=v.getSectionIndex(x),w=v.getCharCode(x),k=24*(m-b.scale),T=e[b.fontStack],M=T&&T[w];M&&(o===cs.horizontal||!l&&!wn(w)||l&&(fs[w]||(S=w,xn.Arabic(S)||xn[\"Arabic Supplement\"](S)||xn[\"Arabic Extended-A\"](S)||xn[\"Arabic Presentation Forms-A\"](S)||xn[\"Arabic Presentation Forms-B\"](S)))?(f.push({glyph:w,x:c,y:u+k,vertical:!1,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=M.metrics.advance*b.scale+s):(f.push({glyph:w,x:c,y:u+k,vertical:!0,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=ls*b.scale+s))}if(f.length!==y){var A=c-s;h=Math.max(A,h),xs(f,e,y,f.length-1,p)}c=0,u+=n*m}else u+=n}var S,E=ys(a),L=E.horizontalAlign,C=E.verticalAlign;!function(t,e,r,n,a,i,o){for(var s=(e-r)*a,l=(-n*o+.5)*i,c=0;c<t.length;c++)t[c].x+=s,t[c].y+=l}(f,p,L,C,h,n,r.length);var P=u-t.yOffset;t.top+=-C*P,t.bottom=t.top+P,t.left+=-L*h,t.right=t.left+h}(M,e,h,a,i,o,c,s,u),!!T.length&&M}us.fromFeature=function(t,e){for(var r=new us,n=0;n<t.sections.length;n++){var a=t.sections[n];r.sections.push({scale:a.scale||1,fontStack:a.fontStack||e}),r.text+=a.text;for(var i=0;i<a.text.length;i++)r.sectionIndex.push(n)}return r},us.prototype.length=function(){return this.text.length},us.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},us.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},us.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},us.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;n&&kn(n)&&!ss[t[r+1]]||a&&kn(a)&&!ss[t[r-1]]||!ss[t[r]]?e+=t[r]:e+=ss[t[r]]}return 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s=n[i],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:a}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new Pn(s)),maxSize:r.evaluate(new Pn(l)),interpolationType:a}}function ks(t,e,r){var n=e.uSize,a=e.uSizeT,i=r.lowerSize,o=r.upperSize;return\"source\"===t.kind?i/_s:\"composite\"===t.kind?ye(i/_s,o/_s,a):n}function Ts(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var a=t.interpolationType,i=t.minZoom,o=t.maxZoom,s=a?c(Ne.interpolationFactor(a,e,i,o),0,1):0;\"camera\"===t.kind?n=ye(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Ms=Object.freeze({getSizeData:ws,evaluateSizeForFeature:ks,evaluateSizeForZoom:Ts,SIZE_PACK_FACTOR:_s}),As=Io.VectorTileFeature.types,Ss=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Es(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*a),i,o,s?s[0]:0,s?s[1]:0)}function Ls(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)}var Cs=function(t){this.layoutVertexArray=new na,this.indexArray=new da,this.programConfigurations=t,this.segments=new Oa,this.dynamicLayoutVertexArray=new aa,this.opacityVertexArray=new ia,this.placedSymbolArray=new wa};Cs.prototype.upload=function(t,e,r,n){r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,es.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Ss,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t)},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},dn(\"SymbolBuffers\",Cs);var Ps=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Oa,this.collisionVertexArray=new la};Ps.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,ns.members,!0)},Ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},dn(\"CollisionBuffers\",Ps);var Os=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.hasPaintOverrides=!1;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=ws(this.zoom,e[\"text-size\"]),this.iconSizeData=ws(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1);var i=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=i&&(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 cs[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};Os.prototype.createArrays=function(){var t=this.layers[0].layout;this.hasPaintOverrides=Rs.hasPaintOverrides(t),this.text=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Ps(sa,as.members,ga),this.collisionCircle=new Ps(sa,is.members,da),this.glyphOffsetArray=new Aa,this.lineVertexArray=new Ea,this.symbolInstances=new Ta},Os.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=ss[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},Os.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,a=n.get(\"text-font\"),i=n.get(\"text-field\"),o=n.get(\"icon-image\"),s=(\"constant\"!==i.value.kind||i.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),l=\"constant\"!==o.value.kind||o.value.value&&o.value.value.length>0,c=n.get(\"symbol-sort-key\");if(this.features=[],s||l){for(var u=e.iconDependencies,h=e.glyphDependencies,f=new Pn(this.zoom),p=0,d=t;p<d.length;p+=1){var g=d[p],v=g.feature,m=g.index,y=g.sourceLayerIndex;if(r._featureFilter(f,v)){var x=void 0;if(s){var b=r.getValueAndResolveTokens(\"text-field\",v);x=os(b instanceof Jt?b:Jt.fromString(b),r,v)}var _=void 0;if(l&&(_=r.getValueAndResolveTokens(\"icon-image\",v)),x||_){var w=this.sortFeaturesByKey?c.evaluate(v,{}):void 0,k={text:x,icon:_,index:m,sourceLayerIndex:y,geometry:ni(v),properties:v.properties,type:As[v.type],sortKey:w};if(void 0!==v.id&&(k.id=v.id),this.features.push(k),_&&(u[_]=!0),x){var T=a.evaluate(v,{}).join(\",\"),M=\"map\"===n.get(\"text-rotation-alignment\")&&\"point\"!==n.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(cs.vertical)>=0;for(var A=0,S=x.sections;A<S.length;A+=1){var E=S[A],L=bn(x.toString()),C=E.fontStack||T,P=h[C]=h[C]||{};this.calculateGlyphDependencies(E.text,P,M,this.allowVerticalPlacement,L)}}}}}\"line\"===n.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}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],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),v=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[v].geometry,!0)]=v,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},Os.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))},Os.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.collisionBox.upload(t),this.collisionCircle.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},Os.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Os.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[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--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Os.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c){var u=this,h=t.indexArray,f=t.layoutVertexArray,p=t.dynamicLayoutVertexArray,d=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray,i.sortKey),g=this.glyphOffsetArray.length,v=d.vertexLength,m=this.allowVerticalPlacement&&o===cs.vertical?Math.PI/2:0,y=function(t){var e=t.tl,n=t.tr,a=t.bl,i=t.br,o=t.tex,l=d.vertexLength,c=t.glyphOffset[1];Es(f,s.x,s.y,e.x,c+e.y,o.x,o.y,r),Es(f,s.x,s.y,n.x,c+n.y,o.x+o.w,o.y,r),Es(f,s.x,s.y,a.x,c+a.y,o.x,o.y+o.h,r),Es(f,s.x,s.y,i.x,c+i.y,o.x+o.w,o.y+o.h,r),Ls(p,s,m),h.emplaceBack(l,l+1,l+2),h.emplaceBack(l+1,l+2,l+3),d.vertexLength+=4,d.primitiveLength+=2,u.glyphOffsetArray.emplaceBack(t.glyphOffset[0])};if(i.text&&i.text.sections){var x=i.text.sections;if(this.hasPaintOverrides){for(var b,_=function(e,r){void 0===b||b===e&&!r||t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[b]),b=e},w=0,k=e;w<k.length;w+=1){var T=k[w];_(T.sectionIndex,!1),y(T)}_(b,!0)}else{for(var M=0,A=e;M<A.length;M+=1)y(A[M]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[0])}}else{for(var S=0,E=e;S<E.length;S+=1)y(E[S]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{})}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,v,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0)},Os.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},Os.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s,l){var c=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=c.vertexLength,h=i.layoutVertexArray,f=i.collisionVertexArray,p=s.anchorX,d=s.anchorY;if(this._addCollisionDebugVertex(h,f,o,p,d,new a(t,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,n)),this._addCollisionDebugVertex(h,f,o,p,d,new a(t,n)),c.vertexLength+=4,l){var g=i.indexArray;g.emplaceBack(u,u+1,u+2),g.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var v=i.indexArray;v.emplaceBack(u,u+1),v.emplaceBack(u+1,u+2),v.emplaceBack(u+2,u+3),v.emplaceBack(u+3,u),c.primitiveLength+=4}},Os.prototype.addDebugCollisionBoxes=function(t,e,r){for(var n=t;n<e;n++){var a=this.collisionBoxArray.get(n),i=a.x1,o=a.y1,s=a.x2,l=a.y2,c=a.radius>0;this.addCollisionDebugVertices(i,o,s,l,c?this.collisionCircle:this.collisionBox,a.anchorPoint,r,c)}},Os.prototype.generateCollisionDebugBuffers=function(){for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e)}},Os.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o){for(var s={},l=e;l<r;l++){var c=t.get(l);if(0===c.radius){s.textBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},s.textFeatureIndex=c.featureIndex;break}s.textCircles||(s.textCircles=[],s.textFeatureIndex=c.featureIndex),s.textCircles.push(c.anchorPointX,c.anchorPointY,c.radius,c.signedDistanceFromAnchor,1)}for(var u=n;u<a;u++){var h=t.get(u);if(0===h.radius){s.verticalTextBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},s.verticalTextFeatureIndex=h.featureIndex;break}}for(var f=i;f<o;f++){var p=t.get(f);if(0===p.radius){s.iconBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},s.iconFeatureIndex=p.featureIndex;break}}return s},Os.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))}},Os.prototype.hasTextData=function(){return this.text.segments.get().length>0},Os.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Os.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Os.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Os.prototype.addIndicesForPlacedTextSymbol=function(t){for(var e=this.text.placedSymbolArray.get(t),r=e.vertexStartIndex+4*e.numGlyphs,n=e.vertexStartIndex;n<r;n+=4)this.text.indexArray.emplaceBack(n,n+1,n+2),this.text.indexArray.emplaceBack(n+1,n+2,n+3)},Os.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=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort(function(t,e){return n[t]-n[e]||a[e]-a[t]}),i},Os.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 a=n[r],i=this.symbolInstances.get(a);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedTextSymbol(t)}),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedTextSymbol(i.verticalPlacedTextSymbolIndex);var o=this.icon.placedSymbolArray.get(a);if(o.numGlyphs){var s=o.vertexStartIndex;this.icon.indexArray.emplaceBack(s,s+1,s+2),this.icon.indexArray.emplaceBack(s+1,s+2,s+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},dn(\"SymbolBucket\",Os,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Os.MAX_GLYPHS=65535,Os.addDynamicAttributes=Ls;var zs=new Gn({\"symbol-placement\":new jn(Tt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new jn(Tt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new jn(Tt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Vn(Tt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new jn(Tt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new jn(Tt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new jn(Tt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new jn(Tt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new jn(Tt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Vn(Tt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new jn(Tt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new jn(Tt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Vn(Tt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Vn(Tt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new jn(Tt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new jn(Tt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Vn(Tt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Vn(Tt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new jn(Tt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new jn(Tt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new jn(Tt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Vn(Tt.layout_symbol[\"text-field\"]),\"text-font\":new Vn(Tt.layout_symbol[\"text-font\"]),\"text-size\":new Vn(Tt.layout_symbol[\"text-size\"]),\"text-max-width\":new Vn(Tt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new jn(Tt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Vn(Tt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Vn(Tt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Vn(Tt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new jn(Tt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Vn(Tt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new jn(Tt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new jn(Tt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Vn(Tt.layout_symbol[\"text-rotate\"]),\"text-padding\":new jn(Tt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new jn(Tt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Vn(Tt.layout_symbol[\"text-transform\"]),\"text-offset\":new Vn(Tt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new jn(Tt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new jn(Tt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new jn(Tt.layout_symbol[\"text-optional\"])}),Is={paint:new Gn({\"icon-opacity\":new Vn(Tt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Vn(Tt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Vn(Tt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Vn(Tt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Vn(Tt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new jn(Tt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new jn(Tt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Vn(Tt.paint_symbol[\"text-opacity\"]),\"text-color\":new Vn(Tt.paint_symbol[\"text-color\"],{runtimeType:Ft,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Vn(Tt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Vn(Tt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Vn(Tt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new jn(Tt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new jn(Tt.paint_symbol[\"text-translate-anchor\"])}),layout:zs},Ds=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:zt,this.defaultValue=t};Ds.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},Ds.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Ds.prototype.possibleOutputs=function(){return[void 0]},Ds.prototype.serialize=function(){return null},dn(\"FormatSectionOverride\",Ds,{omit:[\"defaultValue\"]});var Rs=function(t){function e(e){t.call(this,e,Is)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){if(t.prototype.recalculate.call(this,e),\"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 r=this.layout.get(\"text-writing-mode\");if(r){for(var n=[],a=0,i=r;a<i.length;a+=1){var o=i[a];n.indexOf(o)<0&&n.push(o)}this.layout._values[\"text-writing-mode\"]=n}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e){var r=this.layout.get(t).evaluate(e,{}),n=this._unevaluatedLayout._values[t];return n.isDataDriven()||wr(n.value)?r:function(t,e){return r.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):\"\"})}(e.properties)},e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Is.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new Ds(i),s=new _r(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Tr(\"source\",s):new Mr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new Bn(i.property,a,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=Is.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1){var i=r[e];if(n.overrides&&n.overrides.hasOverride(i))return void(a=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof Jt)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!a)if(t instanceof te&&Qt(t.value)===Vt){var e=t.value;i(e.sections)}else t instanceof ae?i(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e.hasPaintOverrides=function(t){for(var r=0,n=Is.paint.overridableProperties;r<n.length;r+=1){var a=n[r];if(e.hasPaintOverride(t,a))return!0}return!1},e}(Yn),Fs={paint:new Gn({\"background-color\":new jn(Tt.paint_background[\"background-color\"]),\"background-pattern\":new qn(Tt.paint_background[\"background-pattern\"]),\"background-opacity\":new jn(Tt.paint_background[\"background-opacity\"])})},Bs=function(t){function e(e){t.call(this,e,Fs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Ns={paint:new Gn({\"raster-opacity\":new jn(Tt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new jn(Tt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new jn(Tt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new jn(Tt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new jn(Tt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new jn(Tt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new jn(Tt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new jn(Tt.paint_raster[\"raster-fade-duration\"])})},js=function(t){function e(e){t.call(this,e,Ns)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Vs=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}(Yn),Us={circle:Mi,heatmap:Di,hillshade:Fi,fill:To,\"fill-extrusion\":Uo,line:$o,symbol:Rs,background:Bs,raster:js};function qs(t){for(var e=0,r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];e+=i.w*i.h,r=Math.max(r,i.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 h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var Hs=function(t,e){var r=e.pixelRatio,n=e.version;this.paddedRect=t,this.pixelRatio=r,this.version=n},Gs={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Gs.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},Gs.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},Gs.tlbr.get=function(){return this.tl.concat(this.br)},Gs.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(Hs.prototype,Gs);var Ys=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=qs(a),o=i.w,s=i.h,l=new Oi({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Oi.copy(u.data,l,{x:0,y:0},{x:h.x+1,y:h.y+1},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,g=d.x+1,v=d.y+1,m=p.data.width,y=p.data.height;Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v},p.data),Oi.copy(p.data,l,{x:0,y:y-1},{x:g,y:v-1},{width:m,height:1}),Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v+y},{width:m,height:1}),Oi.copy(p.data,l,{x:m-1,y:0},{x:g-1,y:v},{width:1,height:y}),Oi.copy(p.data,l,{x:0,y:0},{x:g+m,y:v},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ys.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new Hs(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ys.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)},Ys.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,a=n[0],i=n[1];r.update(e.data,void 0,{x:a,y:i})}},dn(\"ImagePosition\",Hs),dn(\"ImageAtlas\",Ys);var Ws=self.HTMLImageElement,Xs=self.HTMLCanvasElement,Zs=self.HTMLVideoElement,Js=self.ImageData,Ks=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ks.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||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)),i)this.size=[n,a],t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ks.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)},Ks.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ks.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Qs=function(t,e,r,n,a){var i,o,s=8*a-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?a-1:0,f=r?-1:1,p=t[e+h];for(h+=f,i=p&(1<<-u)-1,p>>=-u,u+=s;u>0;i=256*i+t[e+h],h+=f,u-=8);for(o=i&(1<<-u)-1,i>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===i)i=1-c;else{if(i===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),i-=c}return(p?-1:1)*o*Math.pow(2,i-n)},$s=function(t,e,r,n,a,i){var o,s,l,c=8*i-a-1,u=(1<<c)-1,h=u>>1,f=23===a?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:i-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+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,a),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,a),o=0));a>=8;t[r+p]=255&s,p+=d,s/=256,a-=8);for(o=o<<a|s,c+=a;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},tl=el;function el(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}function rl(t){return t.type===el.Bytes?t.readVarint()+t.pos:t.pos+1}function nl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function al(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var a=r.pos-1;a>=t;a--)r.buf[a+n]=r.buf[a]}function il(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function ol(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function sl(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function ll(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function cl(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function ul(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function fl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function pl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function dl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function gl(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function vl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}el.Varint=0,el.Fixed64=1,el.Bytes=2,el.Fixed32=5,el.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),a=n>>3,i=this.pos;this.type=7&n,t(a,e,this),this.pos===i&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=dl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=vl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*dl(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*vl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=Qs(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=Qs(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,a,i=r.buf;if(n=(112&(a=i[r.pos++]))>>4,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<3,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<10,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<17,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<24,a<128)return nl(t,n,e);if(n|=(1&(a=i[r.pos++]))<<31,a<128)return nl(t,n,e);throw new Error(\"Expected varint not more than 10 bytes\")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=function(t,e,r){for(var n=\"\",a=e;a<r;){var i,o,s,l=t[a],c=null,u=l>239?4:l>223?3:l>191?2:1;if(a+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(i=t[a+1]))&&(c=(31&l)<<6|63&i)<=127&&(c=null):3===u?(i=t[a+1],o=t[a+2],128==(192&i)&&128==(192&o)&&((c=(15&l)<<12|(63&i)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(i=t[a+1],o=t[a+2],s=t[a+3],128==(192&i)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&i)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),a+=u}return n}(this.buf,this.pos,t);return this.pos=t,e},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==el.Bytes)return t.push(this.readVarint(e));var r=rl(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==el.Bytes)return t.push(this.readSVarint());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==el.Bytes)return t.push(this.readBoolean());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==el.Bytes)return t.push(this.readFloat());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==el.Bytes)return t.push(this.readDouble());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===el.Varint)for(;this.buf[this.pos++]>127;);else if(e===el.Bytes)this.pos=this.readVarint()+this.pos;else if(e===el.Fixed32)this.pos+=4;else{if(e!==el.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(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,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=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&&al(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),$s(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),$s(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&&al(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,el.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,il,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,ol,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,cl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,sl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ll,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ul,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,pl,e)},writeBytesField:function(t,e){this.writeTag(t,el.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,el.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,el.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,el.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var ml=3;function yl(t,e,r){1===t&&r.readMessage(xl,e)}function xl(t,e,r){if(3===t){var n=r.readMessage(bl,{}),a=n.id,i=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:a,bitmap:new Pi({width:o+2*ml,height:s+2*ml},i),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function bl(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())}var _l=ml,wl=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()})};wl.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))};var kl=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new wl(this.process),this.target.addEventListener(\"message\",this.receive,!1)};function Tl(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]}kl.prototype.send=function(t,e,r,n){var a=this,i=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[i]=r);var o=[];return this.target.postMessage({id:i,type:t,hasCallback:!!r,targetMapId:n,sourceMapId:this.mapId,data:vn(e,o)},o),{cancel:function(){r&&delete a.callbacks[i],a.target.postMessage({id:i,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},kl.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 this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()},kl.prototype.process=function(){var t=this;if(this.taskQueue.length){var e=this.taskQueue.shift(),r=this.tasks[e];if(delete this.tasks[e],this.taskQueue.length&&this.invoker.trigger(),r)if(\"<response>\"===r.type){var n=this.callbacks[e];delete this.callbacks[e],n&&(r.error?n(mn(r.error)):n(null,mn(r.data)))}else{var a=!1,i=r.hasCallback?function(r,n){a=!0,delete t.cancelCallbacks[e];var i=[];t.target.postMessage({id:e,type:\"<response>\",sourceMapId:t.mapId,error:r?vn(r):null,data:vn(n,i)},i)}:function(t){a=!0},o=null,s=mn(r.data);if(this.parent[r.type])o=this.parent[r.type](r.sourceMapId,s,i);else if(this.parent.getWorkerSource){var l=r.type.split(\".\");o=this.parent.getWorkerSource(r.sourceMapId,l[0],s.source)[l[1]](s,i)}else i(new Error(\"Could not find function \"+r.type));!a&&o&&o.cancel&&(this.cancelCallbacks[e]=o.cancel)}}},kl.prototype.remove=function(){this.target.removeEventListener(\"message\",this.receive,!1)};var Ml=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]))};Ml.prototype.setNorthEast=function(t){return this._ne=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.setSouthWest=function(t){return this._sw=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Al)e=t,r=t;else{if(!(t instanceof Ml))return Array.isArray(t)?t.every(Array.isArray)?this.extend(Ml.convert(t)):this.extend(Al.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Al(e.lng,e.lat),this._ne=new Al(r.lng,r.lat)),this},Ml.prototype.getCenter=function(){return new Al((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Ml.prototype.getSouthWest=function(){return this._sw},Ml.prototype.getNorthEast=function(){return this._ne},Ml.prototype.getNorthWest=function(){return new Al(this.getWest(),this.getNorth())},Ml.prototype.getSouthEast=function(){return new Al(this.getEast(),this.getSouth())},Ml.prototype.getWest=function(){return this._sw.lng},Ml.prototype.getSouth=function(){return this._sw.lat},Ml.prototype.getEast=function(){return this._ne.lng},Ml.prototype.getNorth=function(){return this._ne.lat},Ml.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Ml.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Ml.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Ml.convert=function(t){return!t||t instanceof Ml?t:new Ml(t)};var Al=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\")};Al.prototype.wrap=function(){return new Al(u(this.lng,-180,180),this.lat)},Al.prototype.toArray=function(){return[this.lng,this.lat]},Al.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Al.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 Ml(new Al(this.lng-r,this.lat-e),new Al(this.lng+r,this.lat+e))},Al.convert=function(t){if(t instanceof Al)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Al(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Al(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 Sl=2*Math.PI*6378137;function El(t){return Sl*Math.cos(t*Math.PI/180)}function Ll(t){return(180+t)/360}function Cl(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Pl(t,e){return t/El(e)}function Ol(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var zl=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};zl.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Al.convert(t);return new zl(Ll(r.lng),Cl(r.lat),Pl(e,r.lat))},zl.prototype.toLngLat=function(){return new Al(360*this.x-180,Ol(this.y))},zl.prototype.toAltitude=function(){return this.z*El(Ol(this.y))},zl.prototype.meterInMercatorCoordinateUnits=function(){return 1/Sl*(t=Ol(this.y),1/Math.cos(t*Math.PI/180));var t};var Il=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Fl(0,t,e,r)};Il.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Il.prototype.url=function(t,e){var r,n,a,i,o,s=(r=this.x,n=this.y,a=this.z,i=Tl(256*r,256*(n=Math.pow(2,a)-n-1),a),o=Tl(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(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)},Il.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*ei,(t.y*e-this.y)*ei)};var Dl=function(t,e){this.wrap=t,this.canonical=e,this.key=Fl(t,e.z,e.x,e.y)},Rl=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new Il(r,+n,+a),this.key=Fl(e,t,n,a)};function Fl(t,e,r,n){(t*=2)<0&&(t=-1*t-1);var a=1<<e;return 32*(a*a*t+a*n+r)+e}Rl.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Rl.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Rl(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Rl(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Rl.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},Rl.prototype.children=function(t){if(this.overscaledZ>=t)return[new Rl(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 Rl(e,this.wrap,e,r,n),new Rl(e,this.wrap,e,r+1,n),new Rl(e,this.wrap,e,r,n+1),new Rl(e,this.wrap,e,r+1,n+1)]},Rl.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))},Rl.prototype.wrapped=function(){return new Rl(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.unwrapTo=function(t){return new Rl(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Rl.prototype.toUnwrapped=function(){return new Dl(this.wrap,this.canonical)},Rl.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Rl.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new zl(t.x-this.wrap,t.y))},dn(\"CanonicalTileID\",Il),dn(\"OverscaledTileID\",Rl,{omit:[\"posMatrix\"]});var Bl=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 w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');var n=this.dim=e.height;this.stride=this.dim+2,this.data=new Int32Array(this.stride*this.stride);for(var a=e.data,i=\"terrarium\"===r?this._unpackTerrarium:this._unpackMapbox,o=0;o<n;o++)for(var s=0;s<n;s++){var l=4*(o*n+s);this.set(s,o,i(a[l],a[l+1],a[l+2]))}for(var c=0;c<n;c++)this.set(-1,c,this.get(0,c)),this.set(n,c,this.get(n-1,c)),this.set(c,-1,this.get(c,0)),this.set(c,n,this.get(c,n-1));this.set(-1,-1,this.get(0,0)),this.set(n,-1,this.get(n-1,0)),this.set(-1,n,this.get(0,n-1)),this.set(n,n,this.get(n-1,n-1))};Bl.prototype.set=function(t,e,r){this.data[this._idx(t,e)]=r+65536},Bl.prototype.get=function(t,e){return this.data[this._idx(t,e)]-65536},Bl.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)},Bl.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Bl.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Bl.prototype.getPixels=function(){return new Oi({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Bl.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.set(u,c,t.get(u+s,c+l))},dn(\"DEMData\",Bl);var Nl=Jn([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),jl=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}};jl.prototype.encode=function(t){return this._stringToNumber[t]},jl.prototype.decode=function(t){return this._numberToString[t]};var Vl=function(t,e,r,n){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,null!=t.id&&(this.id=t.id)},Ul={geometry:{configurable:!0}};Ul.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},Ul.geometry.set=function(t){this._geometry=t},Vl.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(Vl.prototype,Ul);var ql=function(){this.state={},this.stateChanges={},this.deletedStates={}};ql.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]||{},h(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=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]},ql.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&&e>=0)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e&&e>=0)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}},ql.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},a=this.stateChanges[t]||{},i=h({},n[r],a[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 i[s]}return i},ql.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},ql.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),h(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}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 u=0,f=Object.keys(this.deletedStates[o][c]);u<f.length;u+=1){var p=f[u];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},h(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Hl=function(t,e,r){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=e||new cn(ei,16,0),this.grid3D=new cn(ei,16,0),this.featureIndexArray=r||new Ca};function Gl(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Yl(t,e){return e-t}Hl.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<ei&&u[1]<ei&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Hl.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Io.VectorTile(new tl(this.rawTileData)).layers,this.sourceLayerCoder=new jl(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Hl.prototype.query=function(t,e,r){var n=this;this.loadVTLayers();for(var i=t.params||{},o=ei/t.tileSize/t.scale,s=Rr(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=Gl(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=Gl(t.cameraQueryGeometry),p=0,d=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,function(e,r,n,i){return function(t,e,r,n,i){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&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(gi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(vi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});p<d.length;p+=1){var g=d[p];h.push(g)}h.sort(Yl);for(var v,m={},y=function(a){var c=h[a];if(c!==v){v=c;var u=n.featureIndexArray.get(c),f=null;n.loadMatchingFeature(m,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,e,function(e,a){f||(f=ni(e));var i={};return e.id&&(i=r.getState(a.sourceLayer||\"_geojsonTileLayer\",e.id)),a.queryIntersectsFeature(l,e,i,f,n.z,t.transform,o,t.pixelPosMatrix)})}},x=0;x<h.length;x++)y(x);return m},Hl.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s){var l=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,l)){var c=this.sourceLayerCoder.decode(r),u=this.vtLayers[c].feature(n);if(a(new Pn(this.tileID.overscaledZ),u))for(var h=0;h<l.length;h++){var f=l[h];if(!(i&&i.indexOf(f)<0)){var p=o[f];if(p){var d=!s||s(u,p);if(d){var g=new Vl(u,this.z,this.x,this.y);g.layer=p.serialize();var v=t[f];void 0===v&&(v=t[f]=[]),v.push({featureIndex:n,feature:g,intersectionZ:d})}}}}}},Hl.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i){var o={};this.loadVTLayers();for(var s=Rr(n),l=0,c=t;l<c.length;l+=1){var u=c[l];this.loadMatchingFeature(o,e,r,u,s,a,i)}return o},Hl.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},dn(\"FeatureIndex\",Hl,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Wl=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.expiredRequestCount=0,this.state=\"loading\"};function Xl(t,e,r,n,a){if(void 0===e.segment)return!0;for(var i=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(i),i=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var p=u.angleTo(h)-h.angleTo(f);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>a)return!1;o++,s+=h.dist(f)}return!0}function Zl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Jl(t,e,r){return t?.6*e*r:0}function Kl(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Ql(t,e,r,n,a,i){for(var o=Jl(r,a,i),s=Kl(r,n)*i,l=0,c=Zl(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=ye(h.x,f.x,d),v=ye(h.y,f.y,d),m=new bs(g,v,f.angleTo(h),u);return m._round(),!o||Xl(t,m,s,o,e)?m:void 0}l+=p}}function $l(t,e,r,n,a,i,o,s,l){var c=Jl(n,i,o),u=Kl(n,a),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),function t(e,r,n,a,i,o,s,l,c){for(var u=o/2,h=Zl(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var v=e[g],m=e[g+1],y=v.dist(m),x=m.angleTo(v);p+n<f+y;){var b=((p+=n)-f)/y,_=ye(v.x,m.x,b),w=ye(v.y,m.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var k=new bs(_,w,x,g);k._round(),a&&!Xl(e,k,o,a,i)||d.push(k)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,a,i,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*i)*o*s%e,e,c,r,h,f,!1,l)}Wl.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<I.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Wl.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Wl.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=i[a],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}}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof Os){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}for(var i in this.queryPadding=0,this.buckets){var o=this.buckets[i];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(i).queryRadius(o))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new ba},Wl.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\"},Wl.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state=\"unloaded\"},Wl.prototype.getBucket=function(t){return this.buckets[t.id]},Wl.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 Ks(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ks(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Wl.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Wl.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:n,scale:a,tileSize:this.tileSize,pixelPosMatrix:l,transform:o,params:i,queryPadding:this.queryPadding*s},t,e):{}},Wl.prototype.querySourceFeatures=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var r=this.latestFeatureIndex.loadVTLayers(),n=e?e.sourceLayer:\"\",a=r._geojsonTileLayer||r[n];if(a)for(var i=Rr(e&&e.filter),o=this.tileID.canonical,s=o.z,l=o.x,c=o.y,u={z:s,x:l,y:c},h=0;h<a.length;h++){var f=a.feature(h);if(i(new Pn(this.tileID.overscaledZ),f)){var p=new Vl(f,s,l,c);p.tile=u,t.push(p)}}}},Wl.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},Wl.prototype.setMask=function(t,e){if(!o(this.mask,t)&&(this.mask=t,this.clearMask(),!o(t,{0:!0}))){var r=new $n,n=new da;this.segments=new Oa,this.segments.prepareSegment(0,r,n);for(var i=Object.keys(t),s=0;s<i.length;s++){var l=t[+i[s]],c=ei>>l.z,u=new a(l.x*c,l.y*c),h=new a(u.x+c,u.y+c),f=this.segments.prepareSegment(4,r,n);r.emplaceBack(u.x,u.y,u.x,u.y),r.emplaceBack(h.x,u.y,h.x,u.y),r.emplaceBack(u.x,h.y,u.x,h.y),r.emplaceBack(h.x,h.y,h.x,h.y);var p=f.vertexLength;n.emplaceBack(p,p+1,p+2),n.emplaceBack(p+1,p+2,p+3),f.vertexLength+=4,f.primitiveLength+=2}this.maskedBoundsBuffer=e.createVertexBuffer(r,Nl.members),this.maskedIndexBuffer=e.createIndexBuffer(n)}},Wl.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Wl.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Wl.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Wl.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)},Wl.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){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];o&&s&&0!==Object.keys(s).length&&(a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{}),e&&e.style&&(this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(n).queryRadius(a))))}}},Wl.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Wl.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<I.now()},Wl.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Wl.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=I.now()+t};var tc=function(t,e,r,n,i,o,s,l,c,u,h,f){var p=s.top*l-c,d=s.bottom*l+c,g=s.left*l-c,v=s.right*l+c;if(this.boxStartIndex=t.length,u){var m=d-p,y=v-g;m>0&&(m=Math.max(10*l,m),this._addLineCollisionCircles(t,e,r,r.segment,y,m,n,i,o,h))}else{if(f){var x=new a(g,p),b=new a(v,p),_=new a(g,d),w=new a(v,d),k=f*Math.PI/180;x._rotate(k),b._rotate(k),_._rotate(k),w._rotate(k),g=Math.min(x.x,b.x,_.x,w.x),v=Math.max(x.x,b.x,_.x,w.x),p=Math.min(x.y,b.y,_.y,w.y),d=Math.max(x.y,b.y,_.y,w.y)}t.emplaceBack(r.x,r.y,g,p,v,d,n,i,o,0,0)}this.boxEndIndex=t.length};tc.prototype._addLineCollisionCircles=function(t,e,r,n,a,i,o,s,l,c){var u=i/2,h=Math.floor(a/u)||1,f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-i/2,g=r,v=n+1,m=d,y=-a/2,x=y-a/4;do{if(--v<0){if(m>y)return;v=0;break}m-=e[v].dist(g),g=e[v]}while(m>x);for(var b=e[v].dist(e[v+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>a&&(k+=w-a),!(k<m)){for(;m+b<k;){if(m+=b,++v+1>=e.length)return;b=e[v].dist(e[v+1])}var T=k-m,M=e[v],A=e[v+1].sub(M)._unit()._mult(T)._add(M)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(A.x,A.y,-i/2,-i/2,i/2,i/2,o,s,l,i/2,S)}}};var ec=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=rc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function rc(t,e){return t<e?-1:t>e?1:0}function nc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<i)&&(i=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-i,p=Math.min(h,f),d=p/2,g=new ec([],ac);if(0===p)return new a(n,i);for(var v=n;v<o;v+=p)for(var m=i;m<s;m+=p)g.push(new ic(v+d,m+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,a=t[0],i=0,o=a.length,s=o-1;i<o;s=i++){var l=a[i],c=a[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new ic(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new ic(b.p.x-d,b.p.y-d,d,t)),g.push(new ic(b.p.x+d,b.p.y-d,d,t)),g.push(new ic(b.p.x-d,b.p.y+d,d,t)),g.push(new ic(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: 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_=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===a?p:d)>=r&&y<=n&&vt(c,p,d,g),_=c.length-3,i&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&vt(c,c[0],c[1],c[2]),c.length&&e.push(c)}function dt(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function gt(t,e,r,n,a,i){for(var o=0;o<t.length;o++)pt(t[o],e,r,n,a,i,!1)}function vt(t,e,r,n){t.push(e),t.push(r),t.push(n)}function mt(t,e,r,n,a,i){var o=(i-e)/(n-e);return t.push(i),t.push(r+(a-r)*o),t.push(1),o}function yt(t,e,r,n,a,i){var o=(i-r)/(a-r);return t.push(e+(n-e)*o),t.push(i),t.push(1),o}function xt(t,e){for(var r=[],n=0;n<t.length;n++){var a,i=t[n],o=i.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)a=bt(i.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){a=[];for(var s=0;s<i.geometry.length;s++)a.push(bt(i.geometry[s],e))}else if(\"MultiPolygon\"===o)for(a=[],s=0;s<i.geometry.length;s++){for(var l=[],c=0;c<i.geometry[s].length;c++)l.push(bt(i.geometry[s][c],e));a.push(l)}r.push(nt(i.id,o,a,i.tags))}return r}function bt(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 _t(t,e){if(t.transformed)return t;var r,n,a,i=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(wt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(wt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function wt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function kt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,Tt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Tt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)Mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)Mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)Mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function Mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?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++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function At(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++)it(r,t.features[n],e,n);else\"Feature\"===t.type?it(r,t,e):it(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,a=ht(t,1,-1-r,r,0,-1,2,e),i=ht(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=ht(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=xt(a,1).concat(n)),i&&(n=n.concat(xt(i,-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 St(t,e,r){return 32*((1<<t)*r+e)+t}function Et(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 a=new k(n.features),i=E(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}Y.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=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(X(t[l],l));this.trees[a+1]=new H(s,tt,et,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new H(s,tt,et,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},Y.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(K(r),Q(i),K(a),Q(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?Z(p):this.points[p.index])}return c},Y.prototype.getChildren=function(t){var e=t>>5,r=t%32,n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=c[l],h=a.points[u];h.parentId===t&&s.push(h.numPoints?Z(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},Y.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},Y.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.extent,s=i.radius/o,l=(r-s)/a,c=(r+1+s)/a,u={features:[]};return this._addTileFeatures(n.range((e-s)/a,l,(e+1+s)/a,c),n.points,e,r,a,u),0===e&&this._addTileFeatures(n.range(1-s/a,l,1,c),n.points,a,r,a,u),e===a-1&&this._addTileFeatures(n.range(0,l,s/a,c),n.points,-1,r,a,u),u.features.length?u:null},Y.prototype.getClusterExpansionZoom=function(t){for(var e=t%32-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},Y.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},Y.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:l.numPoints?J(l):this.points[l.index].properties},u=l.numPoints?l.id:this.points[l.index].id;void 0!==u&&(c.id=u),i.features.push(c)}},Y.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},Y.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.radius,i=n.extent,o=n.reduce,s=a/(i*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],h=u.within(c.x,c.y,s),f=c.numPoints||1,p=c.x*f,d=c.y*f,g=o&&f>1?this._map(c,!0):null,v=(l<<5)+(e+1),m=0,y=h;m<y.length;m+=1){var x=y[m],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,f+=_,b.parentId=v,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===f?r.push(c):(c.parentId=v,r.push(W(p/f,d/f,v,f,g)))}}return r},Y.prototype._map=function(t,e){if(t.numPoints)return e?$({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?$({},n):n},At.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},At.prototype.splitTile=function(t,e,r,n,a,i,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,h=St(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=kt(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,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,v,m,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,T=1+_;g=v=m=y=null,x=ht(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=ht(t,u,r+w,r+T,0,f.minX,f.maxX,l),t=null,x&&(g=ht(x,u,n-_,n+k,1,f.minY,f.maxY,l),v=ht(x,u,n+w,n+T,1,f.minY,f.maxY,l),x=null),b&&(m=ht(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=ht(b,u,n+w,n+T,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(m||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},At.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=St(t,e=(e%o+o)%o,r);if(this.tiles[s])return _t(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[St(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?_t(this.tiles[s],a):null):null};var Lt=function(e){function r(t,r,n){e.call(this,t,r,Et),n&&(this.loadGeoJSON=n)}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 a=!!(n&&n.request&&n.request.collectResourceTiming)&&new l.Performance(n.request);this.loadGeoJSON(n,function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){switch(e&&e.type||null){case\"FeatureCollection\":return e.features=e.features.map(y(t,r)),e;case\"GeometryCollection\":return e.geometries=e.geometries.map(y(t,r)),e;case\"Feature\":return e.geometry=t(e.geometry,r),e;case\"Polygon\":case\"MultiPolygon\":return function(t,e){return\"Polygon\"===t.type?t.coordinates=x(t.coordinates,e):\"MultiPolygon\"===t.type&&(t.coordinates=t.coordinates.map(y(x,e))),t}(e,r);default:return e}}(o,!0);try{e._geoJSONIndex=n.cluster?new Y(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=f[1],g=t.createExpression(d),v=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=g.value,i[h]=v.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].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 a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):new At(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.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,a=t.uid;return n&&n[a]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))},r.prototype.getClusterChildren=function(t,e){e(null,this._geoJSONIndex.getChildren(t.clusterId))},r.prototype.getClusterLeaves=function(t,e){e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))},r}(h),Ct=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.workerSourceTypes={vector:h,geojson:Lt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isLoaded())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return Ct.prototype.setReferrer=function(t,e){this.referrer=e},Ct.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Ct.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Ct.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Ct.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Ct.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Ct.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Ct.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Ct.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Ct.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},Ct.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Ct.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error(\"RTL Text Plugin failed to import scripts from \"+r)))}catch(t){n(t.toString())}},Ct.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Ct.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var a={send:function(e,r,a){n.actor.send(e,r,a,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](a,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Ct.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new f),this.demWorkerSources[t][e]},Ct.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Ct(t.window)),Ct}),n(0,function(t){var e=t.createCommonjsModule(function(t){function e(t){return!!(\"undefined\"!=typeof window&&\"undefined\"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON&&function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()&&\"Uint8ClampedArray\"in window&&ArrayBuffer.isView&&function(t){return void 0===r[t]&&(r[t]=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout(function(){t.window.removeEventListener(\"click\",u,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect(),a=t.window.TouchEvent&&r instanceof t.window.TouchEvent?r.touches[0]:r;return new t.Point(a.clientX-n.left-e.clientLeft,a.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),a=[],i=\"touchend\"===r.type?r.changedTouches:r.touches,o=0;o<i.length;o++)a.push(new t.Point(i[o].clientX-n.left-e.clientLeft,i[o].clientY-n.top-e.clientTop));return a},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 f=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],a=n.ids,i=n.callback;this._notify(a,i)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this.images[t]=e},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,a=t;n<a.length;n+=1){var i=a[n];this.images[i]||(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={},a=0,i=e;a<i.length;a+=1){var o=i[a];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,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. 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o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,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 a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=v,d=v,g=1e20;function v(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"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 m(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}v.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 a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(m(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),m(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var i=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(i/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,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1){var l=s[o];a.push({stack:i,id:l})}t.asyncAll(a,function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e)for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})})}}else e(null,{stack:r,id:a,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],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 a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(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 a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},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),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},k.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];for(var s=this.width/i,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,v=0;v<this.width;v++){for(;d<v/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var m=Math.abs(v-p*s),y=Math.abs(v-d*s),x=Math.min(m,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,_+128))}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,T},k.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.RGBA,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.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var T=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=a[i],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+i,this.actors.push(s)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),e.url&&(o.tiles=r.canonicalizeTileset(o,e.url)),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame(function(){return a(null,e)})}T.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},T.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},T.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},T.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,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\"])),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(i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,null),a={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};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.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,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,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,a,i){e.call(this,r,n,a,i),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.url,this.tileSize);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 i=t.browser.getImageData(a),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:i,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",o,function(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}.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),a=(r.x-1+n)%n,i=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,i,r.z,a,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,i,r.z,a,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,i,r.z,a,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,a,i){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=a.getActor(),this.setEventedParent(i),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);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},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),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.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,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var i={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};e.request=this.actor.send(a,i,function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),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=function(e){function r(t,r,n,a){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(a),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(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,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,a=-1/0,i=-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),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=a-r,u=i-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+a)/2*p),Math.floor((n+i)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[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,t.rasterBoundsAttributes.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.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),O=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),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,a=r.urls;n<a.length;n+=1){var i=a[n];this.urls.push(this.map._requestManager.transformRequest(i,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(\"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,t.rasterBoundsAttributes.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 a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.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}(P),z=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),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 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),kt=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),Tt=function(t,e,r){this.context=t,this.width=e,this.height=r;var n=t.gl,a=this.framebuffer=n.createFramebuffer();this.colorAttachment=new wt(t,a),this.depthAttachment=new kt(t,a)};Tt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();e&&t.deleteTexture(e);var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r),t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(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 ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new vt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(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\")};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 U(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Lt.prototype.createFramebuffer=function(t,e){return new Tt(this,t,e)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},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,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))}),this.on(\"error\",function(){i._sourceErrored=!0}),this._source=D(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,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 Object.keys(this._tiles).map(Number).sort(Pt)},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(+a,e)&&n.push(+a);return e?n.sort(function(e,n){var a=r._tiles[e].tileID,i=r._tiles[n].tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x}):n.sort(Pt)},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,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{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 a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.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){for(var r=t.overscaledZ-1;r>=e;r--){var n=t.scaledTo(r);if(!n)return;var a=String(n.key),i=this._tiles[a];if(i&&i.hasData())return i;if(this._cache.has(n))return this._cache.get(n)}},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 a in this._tiles){var i=this._tiles[a];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+r),n[i.tileID.key]=i}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 a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=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)}):(a=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&&(a=a.filter(function(t){return n._source.hasTile(t)}))):a=[];var i=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var v=this.findLoadedParent(d,o);v&&(this._addTile(v.tileID),c[v.tileID.key]=v.tileID),u[p]=d}}for(var m in this._retainLoadedChildren(u,i,s,l),c)l[m]||(this._coveredTiles[m]=!0,l[m]=c[m])}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(_)}}},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={},a={},i=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],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var v=d.children(this._source.maxzoom)[0],m=this.getTile(v);if(m&&m.hasData()){n[v.key]=v;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>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},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 a=this,i=[],o=this.transform;if(!o)return i;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(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,v=c;g<v.length;g+=1){var m=v[g];h=Math.min(h,m.x),f=Math.min(f,m.y),p=Math.max(p,m.x),d=Math.max(d,m.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),v=r*n.queryPadding*t.EXTENT/n.tileSize/g,m=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(m[0].x-v<t.EXTENT&&m[0].y-v<t.EXTENT&&m[1].x+v>=0&&m[1].y+v>=0){var y=l.map(function(t){return s.getTilePoint(t)}),x=c.map(function(t){return s.getTilePoint(t)});i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(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}(t.Evented);function Pt(t,e){return t%32-e%32||e-t}function Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker($n.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var It=function(){this.active={}};It.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<It.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},It.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var Dt,Rt=Math.floor(t.browser.hardwareConcurrency/2);function Ft(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Bt(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]=Ft(t[n],e[t[n].ref]));return t}It.workerCount=Math.max(Math.min(Rt,6),1);var Nt={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 jt(t,e,r){r.push({command:Nt.addSource,args:[t,e[t]]})}function Vt(t,e,r){e.push({command:Nt.removeSource,args:[t]}),r[t]=!0}function Ut(t,e,r,n){Vt(t,r,n),jt(t,e,r)}function qt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Ht(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Gt(t){return t.id}function Yt(t,e){return t[e.id]=e,t}var Wt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.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 Xt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Zt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function Jt(e,r){var n=[e.x,e.y,0,1];oe(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function Kt(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 Qt(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,v=!1,m=0;m<d.length;m++){var y=d.get(m);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!v)ie(y.numGlyphs,f);else{v=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),Kt(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.Point(y.anchorX,y.anchorY),T=Jt(k,i).point,M={},A=ee(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g);v=A.useVertical,(A.notEnoughRoom||v||A.needsFlipping&&ee(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g).notEnoughRoom)&&ie(y.numGlyphs,f)}else ie(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function $t(t,e,r,n,a,i,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),m=ne(t*g,r,n,a,i,o,s.segment,p,d,l,c,u,h);if(!m)return null;var y=ne(t*v,r,n,a,i,o,s.segment,p,d,l,c,u,h);return y?{first:m,last:y}:null}function te(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ee(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,v=r/24,m=e.lineOffsetX*v,y=e.lineOffsetY*v;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=$t(v,l,m,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=Jt(w.first.point,s).point,T=Jt(w.last.point,s).point;if(a&&!n){var M=te(e.writingMode,k,T,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(ne(v*l.getoffsetX(A),m,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(a&&!n){var S=Jt(f,i).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=Jt(L,i),P=C.signedDistanceFromCamera>0?C.point:re(f,L,S,1,i),O=te(e.writingMode,S,P,d);if(O)return O}var z=ne(v*l.getoffsetX(e.glyphStartIndex),m,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!z)return{notEnoughRoom:!0};g=[z]}for(var I=0,D=g;I<D.length;I+=1){var R=D[I];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function re(t,e,r,n,a){var i=Jt(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function ne(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=a?e-r:e+r,g=d>0?1:-1,v=0;a&&(g*=-1,v=Math.PI),g<0&&(v+=Math.PI);for(var m=g>0?l+s:l+s+1,y=m,x=i,b=i,_=0,w=0,k=Math.abs(d);_+w<=k;){if((m+=g)<l||m>=c)return null;if(b=x,void 0===(x=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),M=Jt(T,h);if(M.signedDistanceFromCamera>0)x=f[m]=M.point;else{var A=m-g;x=re(0===_?o:new t.Point(u.getx(A),u.gety(A)),T,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),L=E.mult(S)._add(b);return L._add(E._unit()._perp()._mult(n*g)),{point:L,angle:v+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:m-g===y?0:u.gettileUnitDistanceFromAnchor(m-g),lastSegmentViewportDistance:k-_}:null}}Wt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Wt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Wt.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)},Wt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Wt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Wt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)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],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}var f={hitTest:a,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,i),a?o.length>0:o},Wt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>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(i,s,o,l,this._queryCellCircle,c,u,a),n?c.length>0:c},Wt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Wt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Wt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Wt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];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 i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var v=this.circles,m=0,y=g;m<y.length;m+=1){var x=y[m];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(v[b],v[b+1],v[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=v[b],w=v[b+1],k=v[b+2];i.push({key:this.circleKeys[x],x1:_-k,y1:w-k,x2:_+k,y2:w+k})}}}},Wt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var v=this.circleCells[a];if(null!==v)for(var m=this.circles,y=0,x=v;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(m[_],m[_+1],m[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Wt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(a.call(this,t,e,r,n,d,i,o,s))return}},Wt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Wt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Wt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Wt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var ae=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ie(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ae,3*n)}}function oe(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var se=function(t,e,r){void 0===e&&(e=new Wt(t.width+200,t.height+200,25)),void 0===r&&(r=new Wt(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 le(t,e,r){t[e+4]=r?1:0}function ce(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}se.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},se.prototype.approximateTileDistance=function(t,e,r,n,a){var i=a?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(i-1)*o*Math.abs(Math.sin(e))},se.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(c,i.anchorX,i.anchorY),v=l/24,m=i.lineOffsetX*l,y=i.lineOffsetY*l,x=new t.Point(i.anchorX,i.anchorY),b=$t(v,s,m,y,!1,Jt(x,u).point,x,i,o,u,{},!0),_=!1,w=!1,k=!0,T=g.perspectiveRatio*a,M=1/(a*n),A=0,S=0;b&&(A=this.approximateTileDistance(b.first.tileDistance,b.first.angle,M,g.cameraDistance,f),S=this.approximateTileDistance(b.last.tileDistance,b.last.angle,M,g.cameraDistance,f));for(var E=0;E<e.length;E+=5){var L=e[E],C=e[E+1],P=e[E+2],O=e[E+3];if(!b||O<-A||O>S)le(e,E,!1);else{var z=this.projectPoint(c,L,C),I=P*T;if(d.length>0){var D=z.x-d[d.length-4],R=z.y-d[d.length-3];if(I*I*2>D*D+R*R&&E+8<e.length){var F=e[E+8];if(F>-A&&F<S){le(e,E,!1);continue}}}var B=E/5;d.push(z.x,z.y,I,B),le(e,E,!0);var N=z.x-I,j=z.y-I,V=z.x+I,U=z.y+I;if(k=k&&this.isOffscreen(N,j,V,U),w=w||this.isInsideGrid(N,j,V,U),!r&&this.grid.hitTestCircle(z.x,z.y,I,p)){if(!h)return{circles:[],offscreen:!1};_=!0}}}return{circles:_||!w?[]:d,offscreen:k}},se.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-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),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],v=g.key;if(void 0===h[v.bucketInstanceId]&&(h[v.bucketInstanceId]={}),!h[v.bucketInstanceId][v.featureIndex]){var m=[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,m)&&(h[v.bucketInstanceId][v.featureIndex]=!0,void 0===f[v.bucketInstanceId]&&(f[v.bucketInstanceId]=[]),f[v.bucketInstanceId].push(v.featureIndex))}}return f},se.prototype.insertCollisionBox=function(t,e,r,n,a){var i={bucketInstanceId:r,featureIndex:n,collisionGroupID:a};(e?this.ignoredGrid:this.grid).insert(i,t[0],t[1],t[2],t[3])},se.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},se.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return oe(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},se.prototype.projectPoint=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100)},se.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},se.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},se.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary};var ue=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};ue.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var he=function(t,e,r,n,a){this.text=new ue(t?t.text:null,e,r,a),this.icon=new ue(t?t.icon:null,e,n,a)};he.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var fe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},pe=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},de=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function ge(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateRadialOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}de.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 ve=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new se(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new de(r),this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function me(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}ve.prototype.placeLayerTile=function(e,r,n,a){var i=r.getBucket(e),o=r.latestFeatureIndex;if(i&&o&&e.id===i.layerIds[0]){var s=r.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=Xt(h,\"map\"===l.get(\"text-pitch-alignment\"),\"map\"===l.get(\"text-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom)),p=Xt(h,\"map\"===l.get(\"icon-pitch-alignment\"),\"map\"===l.get(\"icon-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom));this.retainedQueryData[i.bucketInstanceId]=new pe(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,r.tileID),this.placeLayerBucket(i,h,f,p,c,u,n,r.holdingForFade(),a,s)}},ve.prototype.attemptAnchorPlacement=function(e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=ge(e,n,a,i,o),y=this.collisionIndex.placeCollisionBox(function(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}(r,m.x,m.y,s,l,this.transform.angle),f,c,u,h.predicate);if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(v=this.prevPlacement.variableOffsets[p.crossTileID].anchor),this.variableOffsets[p.crossTileID]={radialOffset:i,width:n,height:a,anchor:e,textBoxScale:o,prevAnchor:v},this.markUsedJustification(d,e,p,g),d.allowVerticalPlacement&&(this.markUsedOrientation(d,g,p),this.placedOrientations[p.crossTileID]=g),y},ve.prototype.placeLayerBucket=function(e,r,n,a,i,o,s,l,c,u){var h=this,f=e.layers[0].layout,p=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom),d=f.get(\"text-optional\"),g=f.get(\"icon-optional\"),v=f.get(\"text-allow-overlap\"),m=f.get(\"icon-allow-overlap\"),y=v&&(m||!e.hasIconData()||g),x=m&&(v||!e.hasTextData()||d),b=this.collisionGroups.get(e.sourceID),_=\"map\"===f.get(\"text-rotation-alignment\"),w=\"map\"===f.get(\"text-pitch-alignment\"),k=\"viewport-y\"===f.get(\"symbol-z-order\");!e.collisionArrays&&u&&e.deserializeCollisionBoxes(u);var T=function(a,u){if(!c[a.crossTileID])if(l)h.placements[a.crossTileID]=new fe(!1,!1,!1);else{var m,k=!1,T=!1,M=!0,A={box:null,offscreen:null},S={box:null,offscreen:null},E=null,L=null,C=0,P=0,O=0;u.textFeatureIndex&&(C=u.textFeatureIndex),u.verticalTextFeatureIndex&&(P=u.verticalTextFeatureIndex);var z=u.textBox;if(z){var I=function(r){var n=t.WritingMode.horizontal;if(e.allowVerticalPlacement&&!r&&h.prevPlacement){var i=h.prevPlacement.placedOrientations[a.crossTileID];i&&(h.placedOrientations[a.crossTileID]=i,n=i,h.markUsedOrientation(e,n,a))}return n},D=function(r,n){if(e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&u.verticalTextBox)for(var i=0,o=e.writingModes;i<o.length&&(o[i]===t.WritingMode.vertical?(A=n(),S=A):A=r(),!(A&&A.box&&A.box.length));i+=1);else A=r()};if(f.get(\"text-variable-anchor\")){var R=f.get(\"text-variable-anchor\");if(h.prevPlacement&&h.prevPlacement.variableOffsets[a.crossTileID]){var F=h.prevPlacement.variableOffsets[a.crossTileID];R.indexOf(F.anchor)>0&&(R=R.filter(function(t){return t!==F.anchor})).unshift(F.anchor)}var B=function(t,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,l=a.textBoxScale,c={box:[],offscreen:!1},u=v?2*R.length:R.length,f=0;f<u;++f){var p=R[f%R.length],d=f>=R.length;if((c=h.attemptAnchorPlacement(p,t,i,s,a.radialTextOffset,l,_,w,o,r,b,d,a,e,n))&&c.box&&c.box.length){k=!0;break}}return c};D(function(){return B(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox,n=A&&A.box&&A.box.length;return e.allowVerticalPlacement&&!n&&a.numVerticalGlyphVertices>0&&r?B(r,t.WritingMode.vertical):{box:null,offscreen:null}}),A&&(k=A.box,M=A.offscreen);var N=I(A&&A.box);if(!k&&h.prevPlacement){var j=h.prevPlacement.variableOffsets[a.crossTileID];j&&(h.variableOffsets[a.crossTileID]=j,h.markUsedJustification(e,j.anchor,a,N))}}else{var V=function(t,n){var i=h.collisionIndex.placeCollisionBox(t,f.get(\"text-allow-overlap\"),o,r,b.predicate);return i&&i.box&&i.box.length&&(h.markUsedOrientation(e,n,a),h.placedOrientations[a.crossTileID]=n),i};D(function(){return V(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox;return e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&r?V(r,t.WritingMode.vertical):{box:null,offscreen:null}}),I(A&&A.box&&A.box.length)}}k=(m=A)&&m.box&&m.box.length>0,M=m&&m.offscreen;var U=u.textCircles;if(U){var q=e.text.placedSymbolArray.get(a.centerJustifiedTextSymbolIndex),H=t.evaluateSizeForFeature(e.textSizeData,p,q);E=h.collisionIndex.placeCollisionCircles(U,f.get(\"text-allow-overlap\"),i,o,q,e.lineVertexArray,e.glyphOffsetArray,H,r,n,s,w,b.predicate),k=f.get(\"text-allow-overlap\")||E.circles.length>0,M=M&&E.offscreen}u.iconFeatureIndex&&(O=u.iconFeatureIndex),u.iconBox&&(T=(L=h.collisionIndex.placeCollisionBox(u.iconBox,f.get(\"icon-allow-overlap\"),o,r,b.predicate)).box.length>0,M=M&&L.offscreen);var G=d||0===a.numHorizontalGlyphVertices&&0===a.numVerticalGlyphVertices,Y=g||0===a.numIconVertices;G||Y?Y?G||(T=T&&k):k=T&&k:T=k=T&&k,k&&m&&m.box&&(S&&S.box&&P?h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,P,b.ID):h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID)),T&&L&&h.collisionIndex.insertCollisionBox(L.box,f.get(\"icon-ignore-placement\"),e.bucketInstanceId,O,b.ID),k&&E&&h.collisionIndex.insertCollisionCircles(E.circles,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID),h.placements[a.crossTileID]=new fe(k||y,T||x,M||e.justReloaded),c[a.crossTileID]=!0}};if(k)for(var M=e.getSortedSymbolIndexes(this.transform.angle),A=M.length-1;A>=0;--A){var S=M[A];T(e.symbolInstances.get(S),e.collisionArrays[S])}else for(var E=0;E<e.symbolInstances.length;++E)T(e.symbolInstances.get(E),e.collisionArrays[E]);e.justReloaded=!1},ve.prototype.markUsedJustification=function(e,r,n,a){var i,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};i=a===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=i>=0&&c!==i?0:n.crossTileID)}},ve.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=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=a}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},ve.prototype.commit=function(t){this.commitTime=t;var e=this.prevPlacement,r=!1,n=e&&0!==this.fadeDuration?(this.commitTime-e.commitTime)/this.fadeDuration:1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new he(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new he(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new he(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[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)},ve.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},ve.prototype.updateBucketOpacities=function(e,r,n){e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexArray.clear(),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexArray.clear();var a=e.layers[0].layout,i=new he(null,0,!1,!1,!0),o=a.get(\"text-allow-overlap\"),s=a.get(\"icon-allow-overlap\"),l=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),u=\"map\"===a.get(\"text-pitch-alignment\"),h=new he(null,0,o&&(s||!e.hasIconData()||a.get(\"icon-optional\")),s&&(o||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasCollisionBoxData()||e.hasCollisionCircleData())&&e.deserializeCollisionBoxes(n);for(var f=0;f<e.symbolInstances.length;f++){var p=e.symbolInstances.get(f),d=p.numHorizontalGlyphVertices,g=p.numVerticalGlyphVertices,v=p.crossTileID,m=r[v],y=this.opacities[v];m?y=i:y||(y=h,this.opacities[v]=y),r[v]=!0;var x=d>0||g>0,b=p.numIconVertices>0;if(x){for(var _=Me(y.text),w=(d+g)/4,k=0;k<w;k++)e.text.opacityVertexArray.emplaceBack(_);var T=y.text.isHidden()?1:0,M=this.placedOrientations[p.crossTileID],A=M===t.WritingMode.horizontal||M===t.WritingMode.horizontalOnly?1:0,S=M===t.WritingMode.vertical?1:0;[p.rightJustifiedTextSymbolIndex,p.centerJustifiedTextSymbolIndex,p.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=T||S)}),p.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(p.verticalPlacedTextSymbolIndex).hidden=T||A);var E=this.variableOffsets[p.crossTileID];E&&this.markUsedJustification(e,E.anchor,p,M);var L=this.placedOrientations[p.crossTileID];L&&(this.markUsedJustification(e,\"left\",p,L),this.markUsedOrientation(e,L,p))}if(b){for(var C=Me(y.icon),P=0;P<p.numIconVertices/4;P++)e.icon.opacityVertexArray.emplaceBack(C);e.icon.placedSymbolArray.get(f).hidden=y.icon.isHidden()}if(e.hasCollisionBoxData()||e.hasCollisionCircleData()){var O=e.collisionArrays[f];if(O){if(O.textBox){var z=new t.Point(0,0),I=!0;if(l){var D=this.variableOffsets[v];D?(z=ge(D.anchor,D.width,D.height,D.radialOffset,D.textBoxScale),c&&z._rotate(u?this.transform.angle:-this.transform.angle)):I=!1}me(e.collisionBox.collisionVertexArray,y.text.placed,!I,z.x,z.y)}O.iconBox&&me(e.collisionBox.collisionVertexArray,y.icon.placed,!1);var R=O.textCircles;if(R&&e.hasCollisionCircleData())for(var F=0;F<R.length;F+=5){var B=m||0===R[F+4];me(e.collisionCircle.collisionVertexArray,y.text.placed,B)}}}}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.hasCollisionBoxData()&&e.collisionBox.collisionVertexBuffer&&e.collisionBox.collisionVertexBuffer.updateData(e.collisionBox.collisionVertexArray),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexBuffer&&e.collisionCircle.collisionVertexBuffer.updateData(e.collisionCircle.collisionVertexArray)},ve.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ve.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ve.prototype.stillRecent=function(t){return this.commitTime+this.fadeDuration>t},ve.prototype.setStale=function(){this.stale=!0};var ye=Math.pow(2,25),xe=Math.pow(2,24),be=Math.pow(2,17),_e=Math.pow(2,16),we=Math.pow(2,9),ke=Math.pow(2,8),Te=Math.pow(2,1);function Me(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*ye+e*xe+r*be+e*_e+r*we+e*ke+r*Te+e}var Ae=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ae.prototype.continuePlacement=function(t,e,r,n,a){for(;this._currentTileIndex<t.length;){var i=t[this._currentTileIndex];if(e.placeLayerTile(n,i,r,this._seenCrossTileIDs),this._currentTileIndex++,a())return!0}};var Se=function(t,e,r,n,a,i,o){this.placement=new ve(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Se.prototype.isDone=function(){return this._done},Se.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._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 Ae),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Se.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Ee=512/t.EXTENT/2,Le=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};Le.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,a=Ee/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*a),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*a)}},Le.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),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,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,i.crossTileID=u.crossTileID;break}}}}};var Ce=function(){this.maxCrossTileID=0};Ce.prototype.generate=function(){return++this.maxCrossTileID};var Pe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Pe.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],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Pe.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 a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Le(t,e.symbolInstances,e.bucketInstanceId),!0},Pe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1){var i=a[n];delete this.usedCrossTileIDs[t][i.crossTileID]}},Pe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Oe=function(){this.layerIndexes={},this.crossTileIDs=new Ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Oe.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Pe);var a=!1,i={};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)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Oe.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 ze=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return\"source.canvas\"!==t.identifier}))},Ie=t.pick(Nt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),De=t.pick(Nt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Re=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new T((Dt||(Dt=new It),Dt),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Oe,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast(\"loadRTLTextPlugin\",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].reload()}),this.on(\"data\",function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}})}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 a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)})},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._load=function(e,r){var n=this;if(!r||!ze(this,t.validateStyle(e))){for(var a in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(a,e.sources[a],{validate:!1});e.sprite?this._spriteRequest=function(e,r,n){var a,i,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,a=e,u())}),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),function(t,e){c=null,o||(o=t,i=e,u())});function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,g,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:g,pixelRatio:d,sdf:p}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e.sprite,this.map._requestManager,function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var a in r)n.imageManager.addImage(a,r[a]);n.imageManager.setLoaded(!0),n.fire(new t.Event(\"data\",{dataType:\"style\"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Bt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={};for(var o=0,s=i;o<s.length;o+=1){var l=s[o];(l=t.createStyleLayer(l)).setEventedParent(this,{layer:{id:l.id}}),this._layers[l.id]=l}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._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.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 a=n[r],i=this._layers[a];\"custom\"!==i.type&&e.push(i.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),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in 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 h=u[c],f=this._layers[h];f.recalculate(e),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},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={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),ze(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Bt(e.layers);var n=function(e,r){if(!e)return[{command:Nt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Nt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Nt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Nt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Nt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Nt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Nt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Nt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Nt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Nt.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||Vt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&qt(e,r,i)?n.push({command:Nt.setGeoJSONSourceData,args:[i,r[i].data]}):Ut(i,r,n,a)):jt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach(function(t){a[t.source]?n.push({command:Nt.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Gt),f=r.map(Gt),p=e.reduce(Yt,{}),d=r.reduce(Yt,{}),g=h.slice(),v=Object.create(null);for(a=0,i=0;a<h.length;a++)o=h[a],d.hasOwnProperty(o)?i++:(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)o=f[f.length-1-a],g[g.length-1-a]!==o&&(p.hasOwnProperty(o)?(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,c=g[g.length-a],n.push({command:Nt.addLayer,args:[d[o],c]}),g.splice(g.length-a,0,o),v[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!v[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 Ht(s.layout,l.layout,n,o,null,Nt.setLayoutProperty),Ht(s.paint,l.paint,n,o,null,Nt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Nt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Nt.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.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.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.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Nt.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Nt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Nt.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in De)});if(0===n.length)return!1;var a=n.filter(function(t){return!(t.command in Ie)});if(a.length>0)throw new Error(\"Unimplemented: \"+a.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.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.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 a=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 i=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}}),i.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 a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(ze(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}})}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,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.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 a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,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._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.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):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 a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):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,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),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,a=e.sourceLayer,i=this.sourceCaches[n],o=parseInt(e.id,10);if(void 0!==i){var s=i.getSource().type;\"geojson\"===s&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==s||a?isNaN(o)||o<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\"))):i.setFeatureState(a,o,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,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0,s=parseInt(e.id,10);\"vector\"!==i||o?void 0!==e.id&&isNaN(s)||s<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be non-negative.\"))):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.\"))):a.removeFeatureState(o,s,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,a=this.sourceCaches[r],i=parseInt(e.id,10);if(void 0!==a)if(\"vector\"!==a.getSource().type||n){if(!(isNaN(i)||i<0))return a.getFeatureState(n,i);this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\")))}else 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]&&(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={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];a.push(f)}}}}a.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 v=a.length-1;v>=0;v--){var m=a[v].feature;if(n[m.layer.id]<d)break;p.push(m),a.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 k=w[_];p.push(k.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 a={};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 i=0,o=r.layers;i<o.length;i+=1){var s=o[i],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.\"))),[];a[l.source]=!0}}var c=[];for(var u in this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i){for(var o={},s=a.queryRenderedSymbols(r),l=[],c=0,u=Object.keys(s).map(Number);c<u.length;c+=1){var h=u[c];l.push(i[h])}l.sort(B);for(var f=function(){var e=d[p],r=e.featureIndex.lookupSymbolFeatures(s[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,n.filter,n.layers,t);for(var a in r){var i=o[a]=o[a]||[],l=r[a];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-a}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];i.push(h)}}},p=0,d=l;p<d.length;p+=1)f();var g=function(r){o[r].forEach(function(n){var a=n.feature,i=t[r],o=e[i.source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=o})};for(var v in o)g(v);return o}(this._layers,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=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[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(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){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,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&ze(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},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(\"pluginAvailable\",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();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,a){for(var i=!1,o=!1,s={},l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];if(\"symbol\"===h.type){if(!s[h.source]){var f=this.sourceCaches[h.source];s[h.source]=f.getRenderableIds(!0).map(function(t){return f.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var p=this.crossTileSymbolIndex.addLayer(h,s[h.source],e.center.lng);i=i||p}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged||0===n;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now()))&&(this.pauseablePlacement=new Se(e,this._order,d,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,s),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),o=!0),i&&this.pauseablePlacement.placement.setStale()),o||i)for(var g=0,v=this._order;g<v.length;g+=1){var m=v[g],y=this._layers[m];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,s[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)},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);Re.getSourceType=function(t){return I[t]},Re.setSourceType=function(t,e){I[t]=e},Re.registerForPluginAvailability=t.registerForPluginAvailability;var Fe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Be=cr(\"#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;}\"),Ne=cr(\"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);}\"),je=cr(\"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);}\"),Ve=cr(\"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);}\"),Ue=cr(\"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);}\"),qe=cr(\"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;}\"),He=cr(\"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;}\"),Ge=cr(\"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;}\"),Ye=cr(\"uniform float u_overscale_factor;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {float alpha=0.5;vec4 color=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {color=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {color*=.2;}float extrude_scale_length=length(v_extrude_scale);float extrude_length=length(v_extrude)*extrude_scale_length;float stroke_width=15.0*extrude_scale_length/u_overscale_factor;float radius=v_radius*extrude_scale_length;float distance_to_edge=abs(extrude_length-radius);float opacity_t=smoothstep(-stroke_width,0.0,-distance_to_edge);gl_FragColor=opacity_t*color;}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;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);highp float padding_factor=1.2;gl_Position.xy+=a_extrude*u_extrude_scale*padding_factor*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;v_radius=abs(a_extrude.y);v_extrude=a_extrude*padding_factor;v_extrude_scale=u_extrude_scale*u_camera_to_center_distance*collision_perspective_ratio;}\"),We=cr(\"uniform highp vec4 u_color;void main() {gl_FragColor=u_color;}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=cr(\"#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);}\"),Ze=cr(\"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;}\"),Je=cr(\"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 vec4 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\\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;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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;}\"),Ke=cr(\"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 vec4 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\\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;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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);}\"),Qe=cr(\"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;}\"),$e=cr(\"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\\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\\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 vec4 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\\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\\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 pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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;}\"),tr=cr(\"#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;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;return (data.r+data.g*256.0+data.b*256.0*256.0)/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;}\"),er=cr(\"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;}\"),rr=cr(\"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);}\"),nr=cr(\"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);}\"),ar=cr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec4 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_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 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 pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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 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,1.0);float x_b=mod(v_linesofar/pattern_size_b.x,1.0);float y_a=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_a.y+2.0)/2.0)/pattern_size_a.y);float y_b=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_b.y+2.0)/2.0)/pattern_size_b.y);vec2 pos_a=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,vec2(x_a,y_a));vec2 pos_b=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,vec2(x_b,y_b));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;\\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 vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_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 mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_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);}\"),ir=cr(\"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);}\"),or=cr(\"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;}\"),sr=cr(\"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 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;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[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} 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),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));}\"),lr=cr(\"#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 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;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[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} 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),0.0,1.0);float gamma_scale=gl_Position.w;vec2 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;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=vec2(tex.x,tex.y);v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\");function cr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}),vertexSource:e=e.replace(r,function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})}}var ur=Object.freeze({prelude:Be,background:Ne,backgroundPattern:je,circle:Ve,clippingMask:Ue,heatmap:qe,heatmapTexture:He,collisionBox:Ge,collisionCircle:Ye,debug:We,fill:Xe,fillOutline:Ze,fillOutlinePattern:Je,fillPattern:Ke,fillExtrusion:Qe,fillExtrusionPattern:$e,hillshadePrepare:tr,hillshade:er,line:rr,lineGradient:nr,linePattern:ar,lineSDF:ir,raster:or,symbolIcon:sr,symbolSDF:lr}),hr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};hr.prototype.bind=function(t,e,r,n,a,i,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!==a||this.boundVertexOffset!==i||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,a,i,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind())},hr.prototype.freshBind=function(t,e,r,n,a,i,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=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var v=g[d];v.bind(),v.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},hr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var fr=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r.defines();a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Be.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Be.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var v=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),m=0;m<v;m++){var y=i.getActiveUniform(this.program,m);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r.getUniforms(t,p)};function pr(e,r,n){var a=1/ce(n,1,r.transform.tileZoom),i=Math.pow(2,n.tileID.overscaledZ),o=n.tileSize*Math.pow(2,r.transform.tileZoom)/i,s=o*(n.tileID.canonical.x+n.tileID.wrap*i),l=o*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[t.browser.devicePixelRatio,a,e.fromScale,e.toScale],u_fade:e.t,u_pixel_coord_upper:[s>>16,l>>16],u_pixel_coord_lower:[65535&s,65535&l]}}fr.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=t.gl;for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(v={},v[m.LINES]=2,v[m.TRIANGLES]=3,v[m.LINE_STRIP]=1,v)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new hr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),m.drawElements(e,w.primitiveLength*x,m.UNSIGNED_SHORT,w.primitiveOffset*x*2)}};var dr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},gr=function(e,r,n,a,i,o,s){return t.extend(dr(e,r,n,a),pr(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},vr=function(t){return{u_matrix:t}},mr=function(e,r,n,a){return t.extend(vr(e),pr(n,r,a))},yr=function(t,e){return{u_matrix:t,u_world:e}},xr=function(e,r,n,a,i){return t.extend(mr(e,r,n,a),{u_world:i})},br=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=ce(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},_r=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)}},wr=function(t,e,r){var n=ce(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=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*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},kr=function(t,e){return{u_matrix:t,u_color:e}},Tr=function(t){return{u_matrix:t}},Mr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ce(e,1,r),u_intensity:n}},Ar=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),i=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:Er(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:a,u_accent:i}},Sr=function(e,r){var n=e.dem.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:[n,n],u_zoom:e.tileID.overscaledZ,u_maxzoom:r}};function Er(e,r){var n=Math.pow(2,r.canonical.z),a=r.canonical.y;return[new t.MercatorCoordinate(0,a/n).toLngLat().lat,new t.MercatorCoordinate(0,(a+1)/n).toLngLat().lat]}var Lr=function(e,r,n){var a=e.transform;return{u_matrix:Ir(e,r,n),u_ratio:1/ce(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Cr=function(e,r,n){return t.extend(Lr(e,r,n),{u_image:0})},Pr=function(e,r,n,a){var i=e.transform,o=zr(r,i);return{u_matrix:Ir(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ce(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[t.browser.devicePixelRatio,o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Or=function(e,r,n,a,i){var o=e.transform,s=e.lineAtlas,l=zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(a.from,c),h=s.getDash(a.to,c),f=u.width*i.fromScale,p=h.width*i.toScale;return t.extend(Lr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:i.t})};function zr(t,e){return 1/ce(t,1,e.tileZoom)}function Ir(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Dr=function(t,e,r,n,a){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*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Rr(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Rr(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 Fr=function(t,e,r,n,a,i,o,s,l,c){var u=a.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:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Br=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(Fr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Nr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},jr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from),i=r.imageManager.getPattern(t.to),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,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ce(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Vr={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.Uniform4f(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.Uniform4f(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.Uniform4f(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:_r,collisionCircle:_r,debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},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)}},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.Uniform4f(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.Uniform1f(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.Uniform1f(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.Uniform1f(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 Ur(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),a=0;a<n.length;a++){var i={},o=n[a],s=n.slice(a+1);qr(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),i),o.setMask(i,r)}}function qr(e,r,n,a,i){for(var o=0;o<n.length;o++){var s=n[o];if(a.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)qr(e,l[c],n.slice(o),a,i);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));i[h.key]=i[h.key]||h}function Hr(t,e,r,n,a){for(var i=t.context,o=i.gl,s=a?t.useProgram(\"collisionCircle\"):t.useProgram(\"collisionBox\"),l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=a?h.collisionCircle:h.collisionBox;f&&s.draw(i,a?o.TRIANGLES:o.LINES,Mt.disabled,At.disabled,t.colorModeForRenderPass(),Et.disabled,wr(c.posMatrix,t.transform,u),r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,t.transform.zoom,null,null,f.collisionVertexBuffer)}}}var Gr=t.identity(new Float32Array(16));function Yr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateRadialOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Wr(e,r,n,a,i,o,s,l,c,u){var h=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray;f.clear();for(var p=0;p<h.length;p++){var d=h.get(p),g=e.allowVerticalPlacement&&!d.placedOrientation,v=d.hidden||!d.crossTileID||g?null:a[d.crossTileID];if(v){var m=new t.Point(d.anchorX,d.anchorY),y=Jt(m,n?l:s),x=.5+o.cameraToCenterDistance/y.signedDistanceFromCamera*.5,b=i.evaluateSizeForFeature(e.textSizeData,u,d)*x/t.ONE_EM;n&&(b*=e.tilePixelRatio/c);for(var _=v.width,w=v.height,k=v.radialOffset,T=v.textBoxScale,M=Yr(v.anchor,_,w,k,T,b),A=n?Jt(m.add(M),s).point:y.point.add(r?M.rotate(-o.angle):M),S=e.allowVerticalPlacement&&d.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,E=0;E<d.numGlyphs;E++)t.addDynamicAttributes(f,A,S)}else ie(d.numGlyphs,f)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function Xr(e){var r=e.text.placedSymbolArray,n=e.text.dynamicLayoutVertexArray;n.clear();for(var a=0;a<r.length;a++){var i=r.get(a);if(i.hidden||!i.placedOrientation)ie(i.numGlyphs,n);else for(var o=new t.Point(i.anchorX,i.anchorY),s=e.allowVerticalPlacement&&i.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,l=0;l<i.numGlyphs;l++)t.addDynamicAttributes(n,o,s)}e.text.dynamicLayoutVertexBuffer.updateData(n)}function Zr(e,r,n,a,i,o,s,l,c,u,h,f,p){for(var d,g,v=e.context,m=v.gl,y=e.transform,x=\"map\"===l,b=\"map\"===c,_=x&&\"point\"!==n.layout.get(\"symbol-placement\"),w=x&&!b&&!_,k=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),T=e.depthModeForSublayer(0,Mt.ReadOnly),M=n.layout.get(\"text-variable-anchor\"),A=[],S=0,E=a;S<E.length;S+=1){var L=E[S],C=r.getTile(L),P=C.getBucket(n);if(P){var O=i?P.text:P.icon;if(O&&O.segments.get().length){var z=O.programConfigurations.get(n.id),I=i||P.sdfIcons,D=i?P.textSizeData:P.iconSizeData;d||(d=e.useProgram(I?\"symbolSDF\":\"symbolIcon\",z),g=t.evaluateSizeForZoom(D,y.zoom)),v.activeTexture.set(m.TEXTURE0);var R=void 0,F=void 0,B=void 0;if(i)F=C.glyphAtlasTexture,B=m.LINEAR,R=C.glyphAtlasTexture.size;else{var N=1!==n.layout.get(\"icon-size\").constantOr(0)||P.iconsNeedLinear,j=b||0!==y.pitch;F=C.imageAtlasTexture,B=I||e.options.rotating||e.options.zooming||N||j?m.LINEAR:m.NEAREST,R=C.imageAtlasTexture.size}var V=ce(C,1,e.transform.zoom),U=Xt(L.posMatrix,b,x,e.transform,V),q=Zt(L.posMatrix,b,x,e.transform,V);if(_)Qt(P,L.posMatrix,e,i,U,q,b,u);else if(i&&g&&M){var H=Math.pow(2,y.zoom-C.tileID.overscaledZ);Wr(P,x,b,p,t.symbolSize,y,U,L.posMatrix,H,g)}else i&&g&&P.allowVerticalPlacement&&Xr(P);var G=e.translatePosMatrix(L.posMatrix,C,o,s),Y=_||i&&M?Gr:U,W=e.translatePosMatrix(q,C,o,s,!0),X=I&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Z={program:d,buffers:O,uniformValues:I?Br(D.kind,g,w,b,e,G,Y,W,i,R,!0):Fr(D.kind,g,w,b,e,G,Y,W,i,R),atlasTexture:F,atlasInterpolation:B,isSDF:I,hasHalo:X};if(k)for(var J=0,K=O.segments.get();J<K.length;J+=1){var Q=K[J];A.push({segments:new t.SegmentVector([Q]),sortKey:Q.sortKey,state:Z})}else A.push({segments:O.segments,sortKey:0,state:Z})}}}k&&A.sort(function(t,e){return t.sortKey-e.sortKey});for(var $=0,tt=A;$<tt.length;$+=1){var et=tt[$],rt=et.state;if(rt.atlasTexture.bind(rt.atlasInterpolation,m.CLAMP_TO_EDGE),rt.isSDF){var nt=rt.uniformValues;rt.hasHalo&&(nt.u_is_halo=1,Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,nt)),nt.u_is_halo=0}Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,rt.uniformValues)}}function Jr(t,e,r,n,a,i,o,s,l){var c=n.context,u=c.gl;a.draw(c,u.TRIANGLES,i,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 Kr(t,e,r,n,a,i,o){var s,l,c,u,h,f=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=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var v=0,m=n;v<m.length;v+=1){var y=m[v],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(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePatternPaintBuffers(g));var k=p.constantOr(null);if(k&&x.imageAtlas){var T=x.imageAtlas.patternPositions[k.to],M=x.imageAtlas.patternPositions[k.from];T&&M&&_.setConstantPatternPositions(T,M)}var A=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var S=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?xr(A,t,g,x,S):yr(A,S)}else u=b.indexBuffer,h=b.segments,c=d?mr(A,t,g,x):vr(A);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function Qr(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],v=e.getTile(g),m=v.getBucket(r);if(m){var y=m.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),v.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePatternPaintBuffers(h));var b=c.constantOr(null);if(b&&v.imageAtlas){var _=v.imageAtlas.patternPositions[b.to],w=v.imageAtlas.patternPositions[b.from];_&&w&&y.setConstantPatternPositions(_,w)}var k=t.translatePosMatrix(g.posMatrix,v,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),T=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?gr(k,t,T,f,g,h,v):dr(k,t,T,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,M,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y)}}}function $r(t,e,r,n,a,i){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=Ar(t,e,r);e.maskedBoundsBuffer&&e.maskedIndexBuffer&&e.segments?c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,e.maskedBoundsBuffer,e.maskedIndexBuffer,e.segments):c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function tn(e,r,n,a,i,o,s){var l=e.context,c=l.gl;if(r.dem&&r.dem.data){var u=r.dem.dim,h=r.dem.stride,f=r.dem.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var d=r.fbo;if(!d){var g=new t.Texture(l,{width:u,height:u,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(d=r.fbo=l.createFramebuffer(u,u)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(d.framebuffer),l.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,Sr(r,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function en(e,r,n,a,i){var o=a.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(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?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}}function rn(e,r,n){var 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c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var v=a[g],m=r.getTile(v),y=m.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:br(e,v,m,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var k=w[_];d.push({segments:new t.SegmentVector([k]),sortKey:k.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 T=0,M=d;T<M.length;T+=1){var A=M[T],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,z=A.segments;L.draw(c,u.TRIANGLES,h,f,p,Et.disabled,O,n.id,C,P,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=e.depthModeForSublayer(0,Mt.ReadOnly),l=At.disabled,c=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 a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),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),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4),function t(e,r,n,a){var i=e.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,r.width/4,r.height/4,0,i.RGBA,e.extTextureHalfFloat?e.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),a.colorAttachment.set(n),e.extTextureHalfFloat&&i.checkFramebufferStatus(i.FRAMEBUFFER)!==i.FRAMEBUFFER_COMPLETE&&(e.extTextureHalfFloat=null,a.colorAttachment.setDirty(),t(e,r,n,a))}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var u=0;u<a.length;u++){var h=a[u];if(!r.hasRenderableParent(h)){var f=r.getTile(h),p=f.getBucket(n);if(p){var d=p.programConfigurations.get(n.id),g=e.useProgram(\"heatmap\",d),v=e.transform.zoom;g.draw(i,o.TRIANGLES,s,l,c,Et.disabled,Mr(h.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,p.layoutVertexBuffer,p.indexBuffer,p.segments,n.paint,e.transform.zoom,d)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:a,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,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=c?\"lineSDF\":h?\"linePattern\":f?\"lineGradient\":\"line\",g=e.context,v=g.gl,m=!0;if(f){g.activeTexture.set(v.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,v.RGBA)),y.bind(v.LINEAR,v.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var k=w.getBucket(n);if(k){var T=k.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,T),S=m||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas.patternPositions[E.to],C=w.imageAtlas.patternPositions[E.from];L&&C&&T.setConstantPatternPositions(L,C)}var P=c?Or(e,w,n,c,p):h?Pr(e,w,n,p):f?Cr(e,w,n):Lr(e,w,n);c&&(S||e.lineAtlas.dirty)?(g.activeTexture.set(v.TEXTURE0),e.lineAtlas.bind(g)):h&&(g.activeTexture.set(v.TEXTURE0),w.imageAtlasTexture.bind(v.LINEAR,v.CLAMP_TO_EDGE),T.updatePatternPaintBuffers(p)),A.draw(g,v.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,n.paint,e.transform.zoom,T),m=!1}}}}}},fill:function(e,r,n,a){var i=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===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);Kr(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);Kr(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))Qr(t,e,r,n,i,At.disabled,St.disabled),Qr(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();Qr(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=At.disabled,l=t.colorModeForRenderPass(),c=0,u=n;c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?tn(t,f,r,i,o,s,l):\"translucent\"===t.renderPass&&$r(t,f,r,o,s,l)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\"))for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=At.disabled,c=t.colorModeForRenderPass(),u=n.length&&n[0].overscaledZ,h=!t.options.moving,f=0,p=n;f<p.length;f+=1){var d=p[f],g=t.depthModeForSublayer(d.overscaledZ-u,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),v=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),h);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var y=e.findLoadedParent(d,0),x=en(v,y,e,r,t.transform),b=void 0,_=void 0,w=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),y?(y.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),b=Math.pow(2,y.tileID.overscaledZ-v.tileID.overscaledZ),_=[v.tileID.canonical.x*b%1,v.tileID.canonical.y*b%1]):v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var k=Dr(m,_||[0,0],b||1,x,r);o instanceof P?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):v.maskedBoundsBuffer&&v.maskedIndexBuffer&&v.segments?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,v.maskedBoundsBuffer,v.maskedIndexBuffer,v.segments,r.paint,t.transform.zoom):s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var v=r.getCrossfadeParameters(),m=0,y=g;m<y.length;m+=1){var x=y[m],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?jr(b,a,t,c,{tileID:x,tileSize:l},v):Nr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)rn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},on=function(e,r){this.context=new Lt(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.ProgramConfiguration,this.crossTileSymbolIndex=new Oe};function sn(t,e){if(t.y>e.y){var r=t;t=e,e=r}return{x0:t.x,y0:t.y,x1:e.x,y1:e.y,dx:e.x-t.x,dy:e.y-t.y}}function ln(t,e,r,n,a){var i=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=i;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;a(Math.floor(d),Math.ceil(p),f)}}function cn(t,e,r,n,a,i){var o,s=sn(t,e),l=sn(e,r),c=sn(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&ln(c,s,n,a,i),l.dy&&ln(c,l,n,a,i)}on.prototype.resize=function(e,r){var n=this.context.gl;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 a=0,i=this.style._order;a<i.length;a+=1){var o=i[a];this.style._layers[o].resize()}this.depthRbo&&(n.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},on.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,Fe.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,Fe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,t.rasterBoundsAttributes.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,Fe.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);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},on.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Tr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},on.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Tr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},on.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},on.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},on.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},on.prototype.render=function(e,r){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 n=this.style._order,a=this.style.sourceCaches;for(var i in a){var o=a[i];o.used&&o.prepare(this.context)}var s={},l={},c={};for(var u in a){var h=a[u];s[u]=h.getVisibleCoordinates(),l[u]=s[u].slice().reverse(),c[u]=h.getVisibleCoordinates(!0).reverse()}for(var f in a){var p=a[f],d=p.getSource();if(\"raster\"===d.type||\"raster-dem\"===d.type){for(var g=[],v=0,m=s[f];v<m.length;v+=1){var y=m[v];g.push(p.getTile(y))}Ur(g,this.context)}}this.opaquePassCutoff=1/0;for(var x=0;x<n.length;x++){var b=n[x];if(this.style._layers[b].is3D()){this.opaquePassCutoff=x;break}}this.renderPass=\"offscreen\",this.depthRboNeedsClear=!0;for(var _=0,w=n;_<w.length;_+=1){var k=w[_],T=this.style._layers[k];if(T.hasOffscreenPass()&&!T.isHidden(this.transform.zoom)){var M=l[T.source];(\"custom\"===T.type||M.length)&&this.renderLayer(this,a[T.source],T,M)}}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=n.length-1;this.currentLayer>=0;this.currentLayer--){var A=this.style._layers[n[this.currentLayer]],S=a[A.source],E=s[A.source];this._renderTileClippingMasks(A,E),this.renderLayer(this,S,A,E)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<n.length;this.currentLayer++){var L=this.style._layers[n[this.currentLayer]],C=a[L.source],P=(\"symbol\"===L.type?c:l)[L.source];this._renderTileClippingMasks(L,s[L.source]),this.renderLayer(this,C,L,P)}if(this.options.showTileBoundaries)for(var O in a){an.debug(this,a[O],s[O]);break}this.context.setDefault()},on.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},on.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,an[r.type](t,e,r,n,this.style.placement.variableOffsets))},on.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-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=[i?n[0]:ce(r,n[0],this.transform.zoom),i?n[1]:ce(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},on.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},on.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},on.prototype.isPatternMissing=function(t){if(!t)return!1;var e=this.imageManager.getPattern(t.from),r=this.imageManager.getPattern(t.to);return!e||!r},on.prototype.useProgram=function(t,e){void 0===e&&(e=this.emptyProgramConfiguration),this.cache=this.cache||{};var r=\"\"+t+(e.cacheKey||\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new fr(this.context,ur[t],e,Vr[t],this._showOverdrawInspector)),this.cache[r]},on.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()},on.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)};var un=function(e,r,n){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===n||n,this._minZoom=e||0,this._maxZoom=r||22,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._posMatrixCache={},this._alignedPosMatrixCache={}},hn={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};un.prototype.clone=function(){var t=new un(this._minZoom,this._maxZoom,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._calcMatrices(),t},hn.minZoom.get=function(){return this._minZoom},hn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},hn.maxZoom.get=function(){return this._maxZoom},hn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},hn.renderWorldCopies.get=function(){return this._renderWorldCopies},hn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},hn.worldSize.get=function(){return this.tileSize*this.scale},hn.centerPoint.get=function(){return this.size._div(2)},hn.size.get=function(){return new t.Point(this.width,this.height)},hn.bearing.get=function(){return-this.angle/Math.PI*180},hn.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))},hn.pitch.get=function(){return this._pitch/Math.PI*180},hn.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},hn.fov.get=function(){return this._fov/Math.PI*180},hn.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())},hn.zoom.get=function(){return this._zoom},hn.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())},hn.center.get=function(){return this._center},hn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},un.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},un.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=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,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},un.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 a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=new t.Point(i*a.x-.5,i*a.y-.5);return function(e,r,n,a){void 0===a&&(a=!0);var i=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=i)for(c=r;c<s;c++)u=Math.floor(c/i),h=(c%i+i)%i,0!==u&&!0!==a||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}var l=r.map(function(e){return new t.Point(e.x,e.y)._mult(i)});return cn(l[0],l[1],l[2],0,i,s),cn(l[2],l[3],l[0],0,i,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.Point(0,0)),this.pointCoordinate(new t.Point(this.width,0)),this.pointCoordinate(new t.Point(this.width,this.height)),this.pointCoordinate(new t.Point(0,this.height))],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return o.dist(t.canonical)-o.dist(e.canonical)})},un.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},hn.unmodified.get=function(){return this._unmodified},un.prototype.zoomScale=function(t){return Math.pow(2,t)},un.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},un.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)},un.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},hn.point.get=function(){return this.project(this.center)},un.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},un.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},un.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},un.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},un.prototype.coordinateLocation=function(t){return t.toLngLat()},un.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 a=r[3],i=n[3],o=r[0]/a,s=n[0]/i,l=r[1]/a,c=n[1]/i,u=r[2]/a,h=n[2]/i,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},un.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])},un.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)))},un.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},un.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])},un.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},un.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},un.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[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+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,v=c.y/2;g-v<i&&(a=i+v),g+v>o&&(a=o-v)}if(this.lngRange){var m=p.x,y=c.x/2;m-y<s&&(n=s+y),m+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},un.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var e=this._fov/2,r=Math.PI/2+this._pitch,n=Math.sin(e)*this.cameraToCenterDistance/Math.sin(Math.PI-r-e),a=this.point,i=a.x,o=a.y,s=1.01*(Math.cos(Math.PI/2-this._pitch)*n+this.cameraToCenterDistance),l=this.height/50,c=new Float64Array(16);t.perspective(c,this._fov,this.width/this.height,l,s),t.scale(c,c,[1,-1,1]),t.translate(c,c,[0,0,-this.cameraToCenterDistance]),t.rotateX(c,c,this._pitch),t.rotateZ(c,c,this.angle),t.translate(c,c,[-i,-o,0]),this.mercatorMatrix=t.scale([],c,[this.worldSize,this.worldSize,this.worldSize]),t.scale(c,c,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=c;var u=this.width%2/2,h=this.height%2/2,f=Math.cos(this.angle),p=Math.sin(this.angle),d=i-Math.round(i)+f*u+p*h,g=o-Math.round(o)+f*h+p*u,v=new Float64Array(c);if(t.translate(v,v,[d>.5?d-1:d,g>.5?g-1:g,0]),this.alignedProjMatrix=v,c=t.create(),t.scale(c,c,[this.width/2,-this.height/2,1]),t.translate(c,c,[1,-1,0]),this.labelPlaneMatrix=c,c=t.create(),t.scale(c,c,[1,-1,1]),t.translate(c,c,[-1,-1,0]),t.scale(c,c,[2/this.width,2/this.height,1]),this.glCoordMatrix=c,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(c=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=c,this._posMatrixCache={},this._alignedPosMatrixCache={}}},un.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},un.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},un.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(un.prototype,hn);var fn=function(){var e,r,n,a;t.bindAll([\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=null,a=function(){n=null,r&&(e(),n=setTimeout(a,300),r=!1)},function(){return r=!0,n||a(),n})};fn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},fn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},fn.prototype.getHashString=function(t){var e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,n),i=Math.round(e.lng*a)/a,o=Math.round(e.lat*a)/a,s=this._map.getBearing(),l=this._map.getPitch(),c=\"\";return c+=t?\"#/\"+i+\"/\"+o+\"/\"+r:\"#\"+r+\"/\"+o+\"/\"+i,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=\"/\"+Math.round(l)),c},fn.prototype._onHashChange=function(){var e=t.window.location.hash.replace(\"#\",\"\").split(\"/\");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},fn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var pn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),dn=function(e){function n(n,a,i){var o=r.touchPos(a.getCanvasContainer(),i),s=o.map(function(t){return a.unproject(t)}),l=o.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=a.unproject(l);e.call(this,n,{points:o,point:l,lngLats:s,lngLat:c,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),gn=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),vn=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};vn.prototype.setZoomRate=function(t){this._defaultZoomRate=t},vn.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},vn.prototype.isEnabled=function(){return!!this._enabled},vn.prototype.isActive=function(){return!!this._active},vn.prototype.isZooming=function(){return!!this._zooming},vn.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},vn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},vn.prototype.onWheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=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\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*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.isActive()||this._start(e)),e.preventDefault()}},vn.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this.isActive()||this._start(t)},vn.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0,this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._map.fire(new t.Event(\"zoomstart\",{originalEvent:e}))),this._finishTimeout&&clearTimeout(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=this._map._requestRenderFrame(this._onScrollFrame))}},vn.prototype._onScrollFrame=function(){var e=this;if(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,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,s=this._startZoom,l=this._easing,c=!1;if(\"wheel\"===this._type&&s&&l){var u=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=l(u);r.zoom=t.number(s,o,h),u<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):c=!0}else r.zoom=o,c=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event(\"zoom\",{originalEvent:this._lastWheelEvent})),c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._map.fire(new t.Event(\"zoomend\",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event(\"moveend\",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},vn.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+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};var mn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onKeyDown\"],this)};mn.prototype.isEnabled=function(){return!!this._enabled},mn.prototype.isActive=function(){return!!this._active},mn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},mn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},mn.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.addEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.addEventListener(\"mouseup\",this._onMouseUp,!1),r.disableDrag(),this._startPos=this._lastPos=r.mousePos(this._el,e),this._active=!0)},mn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);if(!(this._lastPos.equals(e)||!this._box&&e.dist(this._startPos)<this._clickTolerance)){var n=this._startPos;this._lastPos=e,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(n.x,e.x),i=Math.max(n.x,e.x),o=Math.min(n.y,e.y),s=Math.max(n.y,e.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+o+\"px)\"),this._box.style.width=i-a+\"px\",this._box.style.height=s-o+\"px\"}},mn.prototype._onMouseUp=function(e){if(0===e.button){var n=this._startPos,a=r.mousePos(this._el,e);this._finish(),r.suppressClick(),n.x===a.x&&n.y===a.y?this._fireEvent(\"boxzoomcancel\",e):this._map.fitScreenCoordinates(n,a,this._map.getBearing(),{linear:!0}).fire(new t.Event(\"boxzoomend\",{originalEvent:e}))}},mn.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},mn.prototype._finish=function(){this._active=!1,t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.removeEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},mn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var yn=t.bezier(0,0,.25,1),xn=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state=\"disabled\",this._button=r.button||\"right\",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll([\"onMouseDown\",\"_onMouseMove\",\"_onMouseUp\",\"_onBlur\",\"_onDragFrame\"],this)};xn.prototype.isEnabled=function(){return\"disabled\"!==this._state},xn.prototype.isActive=function(){return\"active\"===this._state},xn.prototype.enable=function(){this.isEnabled()||(this._state=\"enabled\")},xn.prototype.disable=function(){if(this.isEnabled())switch(this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\"),this._pitchWithRotate&&this._fireEvent(\"pitchend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},xn.prototype.onMouseDown=function(e){if(\"enabled\"===this._state){var n=\"touchstart\"===e.type;if(n)this._startTime=Date.now();else if(\"right\"===this._button){if(this._eventButton=r.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==r.mouseButton(e))return;this._eventButton=0}r.disableDrag(),n?(t.window.document.addEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"touchend\",this._onMouseUp)):(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"mouseup\",this._onMouseUp)),t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._inertia=[[t.browser.now(),this._map.getBearing()]],this._startPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},xn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);this._lastPos.equals(e)||(this._lastMoveEvent=t,this._lastPos=e,\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t),this._pitchWithRotate&&this._fireEvent(\"pitchstart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},xn.prototype._onDragFrame=function(){this._frameId=null;var e=this._lastMoveEvent;if(e){var r=this._map.transform,n=this._prevPos,a=this._lastPos,i=.8*(n.x-a.x),o=-.5*(n.y-a.y),s=r.bearing-i,l=r.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([t.browser.now(),this._map._normalizeBearing(s,u[1])]),r.bearing=s,this._pitchWithRotate&&(this._fireEvent(\"pitch\",e),r.pitch=l),this._fireEvent(\"rotate\",e),this._fireEvent(\"move\",e),delete this._lastMoveEvent,this._prevPos=this._lastPos}},xn.prototype._onMouseUp=function(t){if(\"touchend\"===t.type&&this._startPos===this._lastPos&&Date.now()-this._startTime<300&&this._el.click(),r.mouseButton(t)===this._eventButton)switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\",t),this._pitchWithRotate&&this._fireEvent(\"pitchend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._unbind=function(){t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp),t.window.document.removeEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"touchend\",this._onMouseUp),t.window.removeEventListener(\"blur\",this._onBlur),r.enableDrag()},xn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._lastPos},xn.prototype._inertialRotate=function(t){var e=this;this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),a=this._inertia,i=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent(\"moveend\",t),e._pitchWithRotate&&e._fireEvent(\"pitchend\",t)};if(a.length<2)i();else{var o=a[0],s=a[a.length-1],l=a[a.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:yn,noMoveStart:!0},{originalEvent:t})}else i()}},xn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},xn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var bn=t.bezier(0,0,.3,1),_n=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._state=\"disabled\",this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMove\",\"_onMouseUp\",\"_onTouchEnd\",\"_onBlur\",\"_onDragFrame\"],this)};_n.prototype.isEnabled=function(){return\"disabled\"!==this._state},_n.prototype.isActive=function(){return\"active\"===this._state},_n.prototype.enable=function(){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-drag-pan\"),this._state=\"enabled\")},_n.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove(\"mapboxgl-touch-drag-pan\"),this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},_n.prototype.onMouseDown=function(e){\"enabled\"===this._state&&(e.ctrlKey||0!==r.mouseButton(e)||(r.addEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.addEventListener(t.window.document,\"mouseup\",this._onMouseUp),this._start(e)))},_n.prototype.onTouchStart=function(e){\"enabled\"===this._state&&(e.touches.length>1||(r.addEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onTouchEnd),this._start(e)))},_n.prototype._start=function(e){t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._startPos=this._mouseDownPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._inertia=[[t.browser.now(),this._startPos]]},_n.prototype._onMove=function(e){e.preventDefault();var n=r.mousePos(this._el,e);this._lastPos.equals(n)||\"pending\"===this._state&&n.dist(this._mouseDownPos)<this._clickTolerance||(this._lastMoveEvent=e,this._lastPos=n,this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),this._lastPos]),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"dragstart\",e),this._fireEvent(\"movestart\",e)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},_n.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._prevPos),this._lastPos),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._prevPos=this._lastPos,delete this._lastMoveEvent}},_n.prototype._onMouseUp=function(t){if(0===r.mouseButton(t))switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onTouchEnd=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._unbind=function(){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onTouchEnd),r.removeEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.removeEventListener(t.window.document,\"mouseup\",this._onMouseUp),r.removeEventListener(t.window,\"blur\",this._onBlur)},_n.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._mouseDownPos,delete this._lastPos},_n.prototype._inertialPan=function(t){this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent(\"moveend\",t);else{var r=e[e.length-1],n=e[0],a=r[1].sub(n[1]),i=(r[0]-n[0])/1e3;if(0===i||r[1].equals(n[1]))this._fireEvent(\"moveend\",t);else{var o=a.mult(.3/i),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:bn,noMoveStart:!0},{originalEvent:t})}}},_n.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_n.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var wn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onKeyDown\"],this)};function kn(t){return t*(2-t)}wn.prototype.isEnabled=function(){return!!this._enabled},wn.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},wn.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},wn.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,r=0,n=0,a=0,i=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),i=-1);break;case 40:t.shiftKey?n=-1:(i=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:kn,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-a,100*-i],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var Tn=function(e){this._map=e,t.bindAll([\"_onDblClick\",\"_onZoomEnd\"],this)};Tn.prototype.isEnabled=function(){return!!this._enabled},Tn.prototype.isActive=function(){return!!this._active},Tn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Tn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Tn.prototype.onTouchStart=function(t){var e=this;if(this.isEnabled()&&!(t.points.length>1))if(this._tapped){var r=t.points[0],n=this._tappedPoint;if(n&&n.dist(r)<=30){t.originalEvent.preventDefault();var a=function(){e._tapped&&e._zoom(t),e._map.off(\"touchcancel\",i),e._resetTapped()},i=function(){e._map.off(\"touchend\",a),e._resetTapped()};this._map.once(\"touchend\",a),this._map.once(\"touchcancel\",i)}else this._resetTapped()}else this._tappedPoint=t.points[0],this._tapped=setTimeout(function(){e._tapped=null,e._tappedPoint=null},300)},Tn.prototype._resetTapped=function(){clearTimeout(this._tapped),this._tapped=null,this._tappedPoint=null},Tn.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},Tn.prototype._zoom=function(t){this._active=!0,this._map.on(\"zoomend\",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},Tn.prototype._onZoomEnd=function(){this._active=!1,this._map.off(\"zoomend\",this._onZoomEnd)};var Mn=t.bezier(0,0,.15,1),An=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onMove\",\"_onEnd\",\"_onTouchFrame\"],this)};An.prototype.isEnabled=function(){return!!this._enabled},An.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)},An.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!1)},An.prototype.disableRotation=function(){this._rotationDisabled=!0},An.prototype.enableRotation=function(){this._rotationDisabled=!1},An.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var n=r.mousePos(this._el,e.touches[0]),a=r.mousePos(this._el,e.touches[1]),i=n.add(a).div(2);this._startVec=n.sub(a),this._startAround=this._map.transform.pointLocation(i),this._gestureIntent=void 0,this._inertia=[],r.addEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onEnd)}},An.prototype._getTouchEventData=function(t){var e=r.mousePos(this._el,t.touches[0]),n=r.mousePos(this._el,t.touches[1]),a=e.sub(n);return{vec:a,center:e.add(n).div(2),scale:a.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI}},An.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,a=r.scale,i=r.bearing;if(!this._gestureIntent){var o=this._rotationDisabled&&1!==a||Math.abs(1-a)>.15;Math.abs(i)>10?this._gestureIntent=\"rotate\":o&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+\"start\",{originalEvent:e})),this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},An.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),a=n.center,i=n.bearing,o=n.scale,s=r.pointLocation(a),l=r.locationPoint(s);\"rotate\"===e&&(r.bearing=this._startBearing+i),r.zoom=r.scaleZoom(this._startScale*o),r.setLocationAtPoint(this._startAround,l),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),o,a])}},An.prototype._onEnd=function(e){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onEnd);var n=this._gestureIntent,a=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,n){this._map.fire(new t.Event(n+\"end\",{originalEvent:e})),this._drainInertiaBuffer();var i=this._inertia,o=this._map;if(i.length<2)o.snapToNorth({},{originalEvent:e});else{var s=i[i.length-1],l=i[0],c=o.transform.scaleZoom(a*s[1]),u=o.transform.scaleZoom(a*l[1]),h=c-u,f=(s[0]-l[0])/1e3,p=s[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),v=c+d*g/2e3;v<0&&(v=0),o.easeTo({zoom:v,duration:g,easing:Mn,around:this._aroundCenter?o.getCenter():o.unproject(p),noMoveStart:!0},{originalEvent:e})}else o.snapToNorth({},{originalEvent:e})}}},An.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>2&&r-e[0][0]>160;)e.shift()};var Sn={scrollZoom:vn,boxZoom:mn,dragRotate:xn,dragPan:_n,keyboard:wn,doubleClickZoom:Tn,touchZoomRotate:An},En=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.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,a){if(\"number\"==typeof(a=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var i=a.padding;a.padding={top:i,bottom:i,right:i,left:i}}if(t.deepEqual(Object.keys(a.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),[\"bottom\",\"left\",\"right\",\"top\"])){var o=this.transform,s=o.project(t.LngLat.convert(e)),l=o.project(t.LngLat.convert(r)),c=s.rotate(-n*Math.PI/180),u=l.rotate(-n*Math.PI/180),h=new t.Point(Math.max(c.x,u.x),Math.max(c.y,u.y)),f=new t.Point(Math.min(c.x,u.x),Math.min(c.y,u.y)),p=h.sub(f),d=(o.width-a.padding.left-a.padding.right)/p.x,g=(o.height-a.padding.top-a.padding.bottom)/p.y;if(!(g<0||d<0)){var v=Math.min(o.scaleZoom(o.scale*Math.min(d,g)),a.maxZoom),m=t.Point.convert(a.offset),y=(a.padding.left-a.padding.right)/2,x=(a.padding.top-a.padding.bottom)/2,b=new t.Point(m.x+y,m.y+x).mult(o.scale/o.zoomScale(v));return{center:o.unproject(s.add(l).div(2).sub(b)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")}else t.warnOnce(\"options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(r=t.extend(e,r)).linear?this.easeTo(r,n):this.flyTo(r,n):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&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=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?+e.zoom:i,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,u=\"pitch\"in e?+e.pitch:s,h=a.centerPoint.add(t.Point.convert(e.offset)),f=a.pointLocation(h),p=t.LngLat.convert(e.center||f);this._normalizeCenter(p);var d,g,v=a.project(f),m=a.project(p).sub(v),y=a.zoomScale(l-i);return e.around&&(d=t.LngLat.convert(e.around),g=a.locationPoint(d)),this._zooming=l!==i,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(a.zoom=t.number(i,l,e)),n._rotating&&(a.bearing=t.number(o,c,e)),n._pitching&&(a.pitch=t.number(s,u,e)),d)a.setLocationAtPoint(d,g);else{var f=a.zoomScale(a.zoom-i),p=l>i?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=a.unproject(v.add(m.mult(e*x)).mult(f));a.setLocationAtPoint(a.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event(\"movestart\",e)),this._zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._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){var r=this._zooming,n=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event(\"zoomend\",e)),n&&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(t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,u=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,f=i.zoomScale(c-o),p=i.centerPoint.add(t.Point.convert(e.offset)),d=i.pointLocation(p),g=t.LngLat.convert(e.center||d);this._normalizeCenter(g);var v=i.project(d),m=i.project(g).sub(v),y=e.curve,x=Math.max(i.width,i.height),b=x/f,_=m.mag();if(\"minZoom\"in e){var w=t.clamp(Math.min(e.minZoom,o,c),i.minZoom,i.maxZoom),k=x/i.zoomScale(w-o);y=Math.sqrt(k/_*2)}var T=y*y;function M(t){var e=(b*b-x*x+(t?-1:1)*T*T*_*_)/(2*(t?b:x)*T*_);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function S(t){return(Math.exp(t)+Math.exp(-t))/2}var E=M(0),L=function(t){return S(E)/S(E+y*t)},C=function(t){return x*((S(E)*(A(e=E+y*t)/S(e))-A(E))/T)/_;var e},P=(M(1)-E)/y;if(Math.abs(_)<1e-6||!isFinite(P)){if(Math.abs(x-b)<1e-6)return this.easeTo(e,r);var O=b<x?-1:1;P=Math.abs(Math.log(b/x))/y,C=function(){return 0},L=function(t){return Math.exp(O*y*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var z=\"screenSpeed\"in e?+e.screenSpeed/y:+e.speed;e.duration=1e3*P/z}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._prepareEase(r,!1),this._ease(function(e){var a=e*P,f=1/L(a);i.zoom=1===e?c:o+i.scaleZoom(f),n._rotating&&(i.bearing=t.number(s,u,e)),n._pitching&&(i.pitch=t.number(l,h,e));var d=1===e?g:i.unproject(v.add(m.mult(C(a))).mult(f));i.setLocationAtPoint(i.renderWorldCopies?d.wrap():d,p),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}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),Ln=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ln.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ln.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},Ln.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},Ln.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\"}},Ln.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ln.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 a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.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)}},Ln.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Cn=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Cn.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\",\"Mapbox logo\"),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},Cn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Cn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Cn.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Cn.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}},Cn.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 Pn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Pn.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Pn.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 a=n[r];if(a.id===t)return void(a.cancelled=!0)}},Pn.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Pn.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var On=t.window.HTMLImageElement,zn=t.window.HTMLElement,In={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,clickTolerance:3,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},Dn=function(n){function a(e){var a=this;if(null!=(e=t.extend({},In,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than minZoom\");var i=new un(e.minZoom,e.maxZoom,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 Pn,this._controls=[],this._mapId=t.uniqueId(),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 zn))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 a._update(!1)}),this.on(\"moveend\",function(){return a._update(!1)}),this.on(\"zoom\",function(){return a._update(!0)}),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),function(t,e){var n=t.getCanvasContainer(),a=null,i=!1,o=null;for(var s in Sn)t[s]=new Sn[s](t,e),e.interactive&&e[s]&&t[s].enable(e[s]);r.addEventListener(n,\"mouseout\",function(e){t.fire(new pn(\"mouseout\",t,e))}),r.addEventListener(n,\"mousedown\",function(a){i=!0,o=r.mousePos(n,a);var s=new pn(\"mousedown\",t,a);t.fire(s),s.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(a),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(a),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(a))}),r.addEventListener(n,\"mouseup\",function(e){var r=t.dragRotate.isActive();a&&!r&&t.fire(new pn(\"contextmenu\",t,a)),a=null,i=!1,t.fire(new pn(\"mouseup\",t,e))}),r.addEventListener(n,\"mousemove\",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mousemove\",t,e))}}),r.addEventListener(n,\"mouseover\",function(e){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mouseover\",t,e))}),r.addEventListener(n,\"touchstart\",function(r){var n=new dn(\"touchstart\",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),r.addEventListener(n,\"touchmove\",function(e){t.fire(new dn(\"touchmove\",t,e))},{passive:!1}),r.addEventListener(n,\"touchend\",function(e){t.fire(new dn(\"touchend\",t,e))}),r.addEventListener(n,\"touchcancel\",function(e){t.fire(new dn(\"touchcancel\",t,e))}),r.addEventListener(n,\"click\",function(a){var i=r.mousePos(n,a);(!o||i.equals(o)||i.dist(o)<e.clickTolerance)&&t.fire(new pn(\"click\",t,a))}),r.addEventListener(n,\"dblclick\",function(e){var r=new pn(\"dblclick\",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),r.addEventListener(n,\"contextmenu\",function(e){var r=t.dragRotate.isActive();i||r?i&&(a=e):t.fire(new pn(\"contextmenu\",t,e)),(t.dragRotate.isEnabled()||t.listens(\"contextmenu\"))&&e.preventDefault()}),r.addEventListener(n,\"wheel\",function(r){e.interactive&&t.stop();var n=new gn(\"wheel\",t,r);t.fire(n),n.defaultPrevented||t.scrollZoom.onWheel(r)},{passive:!1})}(this,e),this._hash=e.hash&&(new fn).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 Ln({customAttribution:e.customAttribution})),this.addControl(new Cn,e.logoPosition),this.on(\"style.load\",function(){a.transform.unmodified&&a.jumpTo(a.style.stylesheet)}),this.on(\"data\",function(e){a._update(\"style\"===e.dataType),a.fire(new t.Event(e.dataType+\"data\",e))}),this.on(\"dataloading\",function(e){a.fire(new t.Event(e.dataType+\"dataloading\",e))})}n&&(a.__proto__=n),a.prototype=Object.create(n&&n.prototype),a.prototype.constructor=a;var i={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.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 a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.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},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];return this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e)).fire(new t.Event(\"resize\",e)).fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.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\")},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},a.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},a.prototype.on=function(t,e,r){var a=this;if(void 0===r)return n.prototype.on.call(this,t,e);var i=function(){var n;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new pn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new pn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new pn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}}();for(var o in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(o,i.delegates[o]);return this},a.prototype.off=function(t,e,r){if(void 0===r)return n.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var a=this._delegatedListeners[t],i=0;i<a.length;i++){var o=a[i];if(o.layer===e&&o.listener===r){for(var s in o.delegates)this.off(s,o.delegates[s]);return a.splice(i,1),this}}return this},a.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 a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.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))},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Re(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)},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)})}else\"object\"==typeof e&&this._updateDiff(e,r)},a.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)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0)},a.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+\"'\")))},a.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 a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;if(void 0===i&&(i=!1),r instanceof On){var o=t.browser.getImageData(r),s=o.width,l=o.height,c=o.data;this.style.addImage(e,{data:new t.RGBAImage({width:s,height:l},c),pixelRatio:a,sdf:i,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`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r.width,h=r.height,f=r.data,p=r;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},new Uint8Array(f)),pixelRatio:a,sdf:i,version:0,userImage:p}),p.onAdd&&p.onAdd(this,e)}},a.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 a=r instanceof On?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;if(void 0===i||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(i!==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 On);n.data.replace(s,l),this.style.updateImage(e,n)},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.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/.\")},a.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.style.position=\"absolute\",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 a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)})},a.prototype._resizeCanvas=function(e,r){var n=t.window.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.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 on(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(){this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=t.browser.now();this.style.zoomHistory.update(r,n);var a=new t.EvaluationParameters(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),i=a.crossFadingFactor();1===i&&i===this._crossFadingFactor||(e=!0,this._crossFadingFactor=i),this.style.update(a)}return 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}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),this},a.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.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(),Rn(this._canvasContainer),Rn(this._controlContainer),Rn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(){e._frame=null,e._render()}))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(){this._trackResize&&this.resize()._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(En);function Rn(t){t.parentNode&&t.parentNode.removeChild(t)}var Fn={showCompass:!0,showZoom:!0,visualizePitch:!1},Bn=function(e){var n=this;this.options=t.extend({},Fn,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([\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in\",\"Zoom in\",function(){return n._map.zoomIn()}),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out\",\"Zoom out\",function(){return n._map.zoomOut()})),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-compass\",\"Reset bearing to north\",function(){n.options.visualizePitch?n._map.resetNorthPitch():n._map.resetNorth()}),this._compassArrow=r.create(\"span\",\"mapboxgl-ctrl-compass-arrow\",this._compass))};function Nn(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}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}Bn.prototype._updateZoomButtons=function(){var t=this._map.getZoom();t===this._map.getMaxZoom()?this._zoomInButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomInButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\"),t===this._map.getMinZoom()?this._zoomOutButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomOutButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\")},Bn.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._compassArrow.style.transform=t},Bn.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new xn(t,{button:\"left\",element:this._compass}),r.addEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.addEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.enable()),this._container},Bn.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),r.removeEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.removeEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.disable(),delete this._handler),delete this._map},Bn.prototype._createButton=function(t,e,n){var a=r.create(\"button\",t,this._container);return a.type=\"button\",a.title=e,a.setAttribute(\"aria-label\",e),a.addEventListener(\"click\",n),a};var jn={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 Vn(t,e,r){var n=t.classList;for(var a in jn)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Un,qn=function(e){function n(n,a){if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",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\");var i=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");i.setAttributeNS(null,\"display\",\"block\"),i.setAttributeNS(null,\"height\",\"41px\"),i.setAttributeNS(null,\"width\",\"27px\"),i.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,u=[{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\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.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\"),p.appendChild(d);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),y.appendChild(x),y.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(g),s.appendChild(m),s.appendChild(y),i.appendChild(s),this._element.appendChild(i),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(t){t.preventDefault()}),Vn(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),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)}return this},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){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=Nn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,jn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px)\"))},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}(t.Evented),Hn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},Gn=function(e){function n(r){e.call(this),this.options=t.extend({},Hn,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_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!==Un?n(Un):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then(function(t){Un=\"denied\"!==t.state,n(Un)}):(Un=!!t.window.navigator.geolocation,n(Un)),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(),r.remove(this._container),this._map=void 0},n.prototype._onSuccess=function(e){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,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},n.prototype._onError=function(e){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\"),void 0!==this._geolocationWatchID&&this._clearWatch();else 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\")}\"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;!1!==e?(this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.setAttribute(\"aria-label\",\"Geolocate\"),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 qn(this._dotElement),this.options.trackUserLocation&&(this._watchState=\"OFF\")),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||(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\")))})):t.warnOnce(\"Geolocation support is not available, the GeolocateControl will not be visible.\")},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\":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\")}\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}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),Yn={maxWidth:100,unit:\"metric\"},Wn=function(e){this.options=t.extend({},Yn,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Xn(t,e,r){var n,a,i,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),a=t.unproject([c,u]),i=Math.PI/180,o=n.lat*i,s=a.lat*i,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((a.lng-n.lng)*i),6371e3*Math.acos(Math.min(l,1)));if(r&&\"imperial\"===r.unit){var f=3.2808*h;f>5280?Zn(e,c,f/5280,\"mi\"):Zn(e,c,f,\"ft\")}else r&&\"nautical\"===r.unit?Zn(e,c,h/1852,\"nm\"):Zn(e,c,h,\"m\")}function Zn(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=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))),l=s/r;\"m\"===n&&s>=1e3&&(s/=1e3,n=\"km\"),t.style.width=e*l+\"px\",t.innerHTML=s+n}Wn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Wn.prototype._onMove=function(){Xn(this._map,this._container,this.options)},Wn.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},Wn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Wn.prototype.setUnit=function(t){this.options.unit=t,Xn(this._map,this._container,this.options)};var Jn=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\"),this._className=\"mapboxgl-ctrl\"};Jn.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",this._className+\" mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Jn.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Jn.prototype._setupUI=function(){(this._fullscreenButton=r.create(\"button\",this._className+\"-icon \"+this._className+\"-fullscreen\",this._controlContainer)).type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._updateTitle=function(){var t=this._isFullscreen()?\"Exit fullscreen\":\"Enter fullscreen\";this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Jn.prototype._isFullscreen=function(){return this._fullscreen},Jn.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(this._className+\"-shrink\"),this._fullscreenButton.classList.toggle(this._className+\"-fullscreen\"),this._updateTitle())},Jn.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 Kn={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Qn=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Kn),r),t.bindAll([\"_update\",\"_onClickClose\",\"remove\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){var r=this;return this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",function(t){r._update(t.point)}),this._map.on(\"mouseup\",function(t){r._update(t.point)}),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(\"click\",this._onClickClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\"),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._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){var t=this;return 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n=t(\"color-normalize\"),a=t(\"array-bounds\"),i=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),h=t(\"to-float32\"),f=h.float32,p=h.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},a=t(i({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(i({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach(function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold?t.shaders.rect(e):\"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,h){var d=e.passes[h];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 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r}(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance\")}()}function a(t){return function(t){if(Array.isArray(t)){for(var e=0,r=new Array(t.length);e<t.length;e++)r[e]=t[e];return r}}(t)||function(t){if(Symbol.iterator in Object(t)||\"[object Arguments]\"===Object.prototype.toString.call(t))return Array.from(t)}(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance\")}()}var i=t(\"color-normalize\"),o=t(\"array-bounds\"),s=t(\"color-id\"),l=t(\"point-cluster\"),c=t(\"object-assign\"),u=t(\"glslify\"),h=t(\"pick-by-alias\"),f=t(\"update-diff\"),p=t(\"flatten-vertex-data\"),d=t(\"is-iexplorer\"),g=t(\"to-float32\"),v=t(\"parse-rect\"),m=y;function y(t,e){var r=this;if(!(this instanceof y))return new y(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=d,n=t.texture({data:new 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{\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  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 * pixelRatio;\\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=c({},o);l.frag=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * 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  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\"]),d&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}y.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},y.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},y.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=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 i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach(function(e,r){t.drawItem(r)});return this},y.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 i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},y.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;this.regl;if(!i)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),g=0;g<r.length;g++){var v=r[g];d[v]=p?p[v]:1}l.subdata(d)}for(var m=f.length;m--;){var y=n(f[m],2),x=y[0],b=y[1];h.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return h},y.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 a=this.groups,i=this.gl,s=this.regl,u=this.maxSize,d=this.maxColors,m=this.palette;this.groups=a=r.map(function(e,r){var n=a[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=h(e,{positions:\"positions data 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t.x.length?e.xAttr={buffer:s.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:s.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=p(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?o(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=l(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=s.elements(f)}return a({data:g.float(t),usage:\"dynamic\"}),i({data:g.fract(t),usage:\"dynamic\"}),c({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach(function(t){return 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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 x=t(\"object-assign\");e.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return x(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}},{\"array-bounds\":68,\"color-id\":120,\"color-normalize\":122,\"flatten-vertex-data\":230,glslify:410,\"is-iexplorer\":420,\"object-assign\":455,\"parse-rect\":460,\"pick-by-alias\":466,\"point-cluster\":470,\"to-float32\":536,\"update-diff\":547}],499:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"pick-by-alias\"),i=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 h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,a,i,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],a=s[3]):s.length?(n=s[0],a=s[1]):(s.x,n=s.y,s.x+s.width,a=s.y+s.height),l.length>2?(i=l[0],o=l[2],l[1],l[3]):l.length?(i=l[0],o=l[1]):(i=l.x,l.y,o=l.x+l.width,l.y+l.height),[i,n,o,a]}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 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f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var v=c(s,l,h);s/=v,l/=v,h/=v}var m,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,k=c(x-=s*w,b-=l*w,_-=h*w),T=l*(_/=k)-h*(b/=k),M=h*(x/=k)-s*_,A=s*b-l*x,S=c(T,M,A);if(T/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,O=E*T+L*M+C*A;m=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(O,P)}else{var z=e[2],I=e[6],D=e[10],R=z*s+I*l+D*h,F=z*x+I*b+D*_,B=z*T+I*M+D*A;m=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,m),this.recalcMatrix(t);var N=e[2],j=e[6],V=e[10],U=this.computedMatrix;a(U,e);var q=U[15],H=U[12]/q,G=U[13]/q,Y=U[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-V*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 a=(n=n||this.computedUp)[0],i=n[1],o=n[2],s=c(a,i,o);if(!(s<1e-6)){a/=s,i/=s,o/=s;var l=e[0]-r[0],h=e[1]-r[1],f=e[2]-r[2],p=c(l,h,f);if(!(p<1e-6)){l/=p,h/=p,f/=p;var d=this.computedRight,g=d[0],v=d[1],m=d[2],y=a*g+i*v+o*m,x=c(g-=y*a,v-=y*i,m-=y*o);if(!(x<.01&&(x=c(g=i*f-o*h,v=o*l-a*f,m=a*h-i*l))<1e-6)){g/=x,v/=x,m/=x,this.up.set(t,a,i,o),this.right.set(t,g,v,m),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=i*m-o*v,_=o*g-a*m,w=a*v-i*g,k=c(b,_,w),T=a*l+i*h+o*f,M=g*l+v*h+m*f,A=(b/=k)*l+(_/=k)*h+(w/=k)*f,S=Math.asin(u(T)),E=Math.atan2(A,M),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var O=Math.abs(C+2*Math.PI-E),z=Math.abs(C-E),I=Math.abs(C-2*Math.PI-E);O<z&&(C+=2*Math.PI),I<z&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":229,\"gl-mat4/invert\":268,\"gl-mat4/rotate\":273,\"gl-vec3/cross\":336,\"gl-vec3/dot\":341,\"gl-vec3/normalize\":358}],541:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var a=t*e,i=n*t,o=i-(i-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,h=s*u-(a-o*c-s*c-o*u);if(r)return r[0]=h,r[1]=a,r;return[h,a]};var n=+(Math.pow(2,27)+1)},{}],542:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,a=n-t,i=e-a,o=t-(n-a);if(r)return r[0]=o+i,r[1]=n,r;return[o+i,n]}},{}],543:[function(t,e,r){(function(e,n){\"use strict\";var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.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,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":569,\"object-assign\":455}],557:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.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=i},{\"../main\":569,\"object-assign\":455}],558:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.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,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.ethiopian=i},{\"../main\":569,\"object-assign\":455}],559:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.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)?30:8===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 a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=i},{\"../main\":569,\"object-assign\":455}],560:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=i},{\"../main\":569,\"object-assign\":455}],561:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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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 a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.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),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":569,\"object-assign\":455}],562:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(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 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n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":569,\"object-assign\":455}],564:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2000:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/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),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":569,\"object-assign\":455}],566:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":569,\"object-assign\":455}],567:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":569,\"object-assign\":455}],568:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.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,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-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 a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(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(a.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,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):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=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(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 i(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),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":743,\"fast-isnumeric\":228}],579:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],v=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==v)a.getFromId(p,v)._annIndices.push(e._index);if(a.coercePosition(e,p,i,v,g,.5),u){var m=\"a\"+g,y=a.coerceRef(t,e,p,m,\"pixel\");\"pixel\"!==y&&y!==v&&(y=e[m]=\"pixel\");var 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j=e.font,V=x._meta?o.templateString(e.text,x._meta):e.text,U=z.append(\"text\").classed(\"annotation-text\",!0).text(V);_.annotationText?U.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",function(r){e.text=r,this.call(H),T(\"text\",r),s&&s.autorange&&k(s._name+\".autorange\",!0),v&&v.autorange&&k(v._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())}):U.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return r.call(c.font,j).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,G),r}function G(){var r=U.selectAll(\"a\");1===r.size()&&r.text()===U.text()&&z.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(F.node());var n=z.select(\".annotation-text-math-group\"),u=!n.empty(),d=c.bBox((u?n:U).node()),m=d.width,y=d.height,w=e.width||m,O=e.height||y,D=Math.round(w+2*R),j=Math.round(O+2*R);function V(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 H=!1,G=[\"x\",\"y\"],Y=0;Y<G.length;Y++){var W,X,Z,J,K,Q=G[Y],$=e[Q+\"ref\"]||Q,tt=e[\"a\"+Q+\"ref\"],et={x:s,y:v}[Q],rt=(E+(\"x\"===Q?0:-90))*Math.PI/180,nt=D*Math.cos(rt),at=j*Math.sin(rt),it=Math.abs(nt)+Math.abs(at),ot=e[Q+\"anchor\"],st=e[Q+\"shift\"]*(\"x\"===Q?1:-1),lt=S[Q];if(et){var ct=et.r2fraction(e[Q]);(ct<0||ct>1)&&(tt===$?((ct=et.r2fraction(e[\"a\"+Q]))<0||ct>1)&&(H=!0):H=!0),W=et._offset+et.r2p(e[Q]),J=.5}else\"x\"===Q?(Z=e[Q],W=b.l+b.w*Z):(Z=1-e[Q],W=b.t+b.h*Z),J=e.showarrow?.5:Z;if(e.showarrow){lt.head=W;var ut=e[\"a\"+Q];K=nt*V(.5,e.xanchor)-at*V(.5,e.yanchor),tt===$?(lt.tail=et._offset+et.r2p(ut),X=K):(lt.tail=W+ut,X=K+ut),lt.text=lt.tail+K;var ht=x[\"x\"===Q?\"width\":\"height\"];if(\"paper\"===$&&(lt.head=o.constrain(lt.head,1,ht-1)),\"pixel\"===tt){var ft=-Math.max(lt.tail-3,lt.text),pt=Math.min(lt.tail+3,lt.text)-ht;ft>0?(lt.tail+=ft,lt.text+=ft):pt>0&&(lt.tail-=pt,lt.text-=pt)}lt.tail+=st,lt.head+=st}else X=K=it*V(J,ot),lt.text=W+K;lt.text+=st,K+=st,X+=st,e[\"_\"+Q+\"padplus\"]=it/2+X,e[\"_\"+Q+\"padminus\"]=it/2-X,e[\"_\"+Q+\"size\"]=it,e[\"_\"+Q+\"shift\"]=K}if(H)z.remove();else{var dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-m)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(O-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var vt=R+gt-d.top,mt=R+dt-d.left;U.call(h.positionText,mt,vt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,O),F.call(c.setRect,I/2,I/2,D-I,j-I),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),C.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){L.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,m=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,m,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),O=+F.attr(\"height\"),I=m-.5*P,D=I+P,R=y-.5*O,B=R+O,N=[[I,R,I,B],[I,B,D,B],[D,B,D,R],[D,R,I,R]].map(A);if(!N.reduce(function(t,e){return t^!!o.segmentsIntersect(u,h,u+1e6,h+1e6,e[0],e[1],e[2],e[3])},!1)){N.forEach(function(t){var e=o.segmentsIntersect(f,d,u,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,d=e.y)});var j=e.arrowwidth,V=e.arrowcolor,U=e.arrowside,q=L.append(\"g\").style({opacity:l.opacity(V)}).classed(\"annotation-arrow-g\",!0),H=q.append(\"path\").attr(\"d\",\"M\"+f+\",\"+d+\"L\"+u+\",\"+h).style(\"stroke-width\",j+\"px\").call(l.stroke,l.rgb(V));if(g(H,U,e),_.annotationPosition&&H.node().parentNode&&!i){var G=u,Y=h;if(e.standoff){var W=Math.sqrt(Math.pow(u-f,2)+Math.pow(h-d,2));G+=e.standoff*(f-u)/W,Y+=e.standoff*(d-h)/W}var X,Z,J=q.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-G)+\",\"+(d-Y),transform:\"translate(\"+G+\",\"+Y+\")\"}).style(\"stroke-width\",j+6+\"px\").call(l.stroke,\"rgba(0,0,0,0)\").call(l.fill,\"rgba(0,0,0,0)\");p.init({element:J.node(),gd:t,prepFn:function(){var t=c.getTranslate(z);X=t.x,Z=t.y,s&&s.autorange&&k(s._name+\".autorange\",!0),v&&v.autorange&&k(v._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(X,Z),a=n[0]+t,i=n[1]+r;z.call(c.setTranslate,a,i),T(\"x\",s?s.p2r(s.r2p(e.x)+t):e.x+t/b.w),T(\"y\",v?v.p2r(v.r2p(e.y)+r):e.y-r/b.h),e.axref===e.xref&&T(\"ax\",s.p2r(s.r2p(e.ax)+t)),e.ayref===e.yref&&T(\"ay\",v.p2r(v.r2p(e.ay)+r)),q.attr(\"transform\",\"translate(\"+t+\",\"+r+\")\"),C.attr({transform:\"rotate(\"+E+\",\"+a+\",\"+i+\")\"})},doneFn:function(){a.call(\"_guiRelayout\",t,M());var 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h=d.width;i=\"M\"+(r.x-h)+\",\"+r.yh+\"h\"+2*h+\"m-\"+h+\",0V\"+r.ys,r.noYS||(i+=\"m-\"+h+\",0h\"+2*h),!o.size()?o=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"yerror\",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr(\"d\",i)}else o.remove();var f=e.select(\"path.xerror\");if(p.visible&&a(r.y)&&a(r.xh)&&a(r.xs)){var v=(p.copy_ystyle?d:p).width;i=\"M\"+r.xh+\",\"+(r.y-v)+\"v\"+2*v+\"m0,-\"+v+\"H\"+r.xs,r.noXS||(i+=\"m0,-\"+v+\"v\"+2*v),!f.size()?f=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"xerror\",!0):u&&(f=f.transition().duration(s.duration).ease(s.easing)),f.attr(\"d\",i)}else f.remove()}})}})}},{\"../../traces/scatter/subtypes\":1144,\"../drawing\":612,d3:165,\"fast-isnumeric\":228}],620:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../color\");e.exports=function(t){t.each(function(t){var e=t[0].trace,r=e.error_y||{},i=e.error_x||{},o=n.select(this);o.selectAll(\"path.yerror\").style(\"stroke-width\",r.thickness+\"px\").call(a.stroke,r.color),i.copy_ystyle&&(i=r),o.selectAll(\"path.xerror\").style(\"stroke-width\",i.thickness+\"px\").call(a.stroke,i.color)})}},{\"../color\":591,d3:165}],621:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),a=t(\"./layout_attributes\").hoverlabel,i=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:i({},a.bgcolor,{arrayOk:!0}),bordercolor:i({},a.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:i({},a.align,{arrayOk:!0}),namelength:i({},a.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":708,\"../../plots/font_attributes\":791,\"./layout_attributes\":631}],622:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\");function i(t,e,r,a){a=a||n.identity,Array.isArray(t)&&(e[0][r]=a(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s<e.length;s++){var l=e[s],c=l[0].trace;if(!a.traceIs(c,\"pie-like\")){var u=a.traceIs(c,\"2dMap\")?i:n.fillArray;u(c.hoverinfo,l,\"hi\",o(c)),c.hovertemplate&&u(c.hovertemplate,l,\"ht\"),c.hoverlabel&&(u(c.hoverlabel.bgcolor,l,\"hbg\"),u(c.hoverlabel.bordercolor,l,\"hbc\"),u(c.hoverlabel.font.size,l,\"hts\"),u(c.hoverlabel.font.color,l,\"htc\"),u(c.hoverlabel.font.family,l,\"htf\"),u(c.hoverlabel.namelength,l,\"hnl\"),u(c.hoverlabel.align,l,\"hta\"))}}}},{\"../../lib\":717,\"../../registry\":846}],623:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"./hover\").hover;e.exports=function(t,e,r){var i=n.getComponentMethod(\"annotations\",\"onClick\")(t,t._hoverdata);function o(){t.emit(\"plotly_click\",{points:t._hoverdata,event:e})}void 0!==r&&a(t,e,r,!0),t._hoverdata&&e&&e.target&&(i&&i.then?i.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},{\"../../registry\":846,\"./hover\":627}],624:[function(t,e,r){\"use strict\";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},{}],625:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"./hoverlabel_defaults\");e.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),i(t,e,function(r,i){return n.coerce(t,e,a,r,i)},s)}},{\"../../lib\":717,\"./attributes\":621,\"./hoverlabel_defaults\":628}],626:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(\"splom\"===t.type){for(var n=t.xaxes||[],a=t.yaxes||[],i=0;i<n.length;i++)for(var 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e._module.eventData?i=e._module.eventData(i,t,e,n,a):(\"xVal\"in t?i.x=t.xVal:\"x\"in t&&(i.x=t.x),\"yVal\"in t?i.y=t.yVal:\"y\"in t&&(i.y=t.y),t.xa&&(i.xaxis=t.xa),t.ya&&(i.yaxis=t.ya),void 0!==t.zLabelVal&&(i.z=t.zLabelVal)),r.appendArrayPointValue(i,e,a),i},r.appendArrayPointValue=function(t,e,r){var a=e._arrayAttrs;if(a)for(var s=0;s<a.length;s++){var l=a[s],c=i(l);if(void 0===t[c]){var u=o(n.nestedProperty(e,l).get(),r);void 0!==u&&(t[c]=u)}}},r.appendArrayMultiPointValues=function(t,e,r){var a=e._arrayAttrs;if(a)for(var s=0;s<a.length;s++){var l=a[s],c=i(l);if(void 0===t[c]){for(var u=n.nestedProperty(e,l).get(),h=new Array(r.length),f=0;f<r.length;f++)h[f]=o(u,r[f]);t[c]=h}}};var a={ids:\"id\",locations:\"location\",labels:\"label\",values:\"value\",\"marker.colors\":\"color\",parents:\"parent\"};function i(t){return a[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&&Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}var s={x:!0,y:!0},l={\"x unified\":!0,\"y 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r=t.index,n=t.trace||{},i=t.cd[0],s=t.cd[r]||{};function l(t){return t||a(t)&&0===t}var c=Array.isArray(r)?function(t,e){var a=o.castOption(i,r,t);return l(a)?a:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var a=c(r,n);l(a)&&(t[e]=a)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in 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n=r._dims,a=s.ensureSingle(t,\"rect\",u.railTouchRectClass,function(n){n.call(T,e,t,r).style(\"pointer-events\",\"all\")});a.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,u.tickOffset+r.ticklen+n.labelHeight)}).call(i.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(a,0,n.currentValueTotalHeight)}function C(t,e){var r=e._dims,n=r.inputAreaLength-2*u.railInset,a=s.ensureSingle(t,\"rect\",u.railRectClass);a.attr({width:n,height:u.railWidth,rx:u.railRadius,ry:u.railRadius,\"shape-rendering\":\"crispEdges\"}).call(i.stroke,e.bordercolor).call(i.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(a,u.railInset,.5*(r.inputAreaWidth-u.railWidth)+r.currentValueTotalHeight)}e.exports=function(t){var e=t._fullLayout,r=function(t,e){for(var r=t[u.name],n=[],a=0;a<r.length;a++){var i=r[a];i.visible&&(i._gd=e,n.push(i))}return n}(e,t),i=e._infolayer.selectAll(\"g.\"+u.containerClassName).data(r.length>0?[0]:[]);function 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(A,r,!1),e.call(y,r)}(t,n.select(this),e)})}}},{\"../../constants/alignment\":686,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plot_api/plot_template\":755,\"../../plots/plots\":826,\"../color\":591,\"../drawing\":612,\"./constants\":675,d3:165}],678:[function(t,e,r){\"use strict\";var n=t(\"./constants\");e.exports={moduleType:\"component\",name:n.name,layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),draw:t(\"./draw\")}},{\"./attributes\":674,\"./constants\":675,\"./defaults\":676,\"./draw\":677}],679:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"fast-isnumeric\"),i=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=t(\"../drawing\"),c=t(\"../color\"),u=t(\"../../lib/svg_text_utils\"),h=t(\"../../constants/interactions\"),f=t(\"../../constants/alignment\").OPPOSITE_SIDE,p=/ [XY][0-9]* /;e.exports={draw:function(t,e,r){var d,g=r.propContainer,v=r.propName,m=r.placeholder,y=r.traceIndex,x=r.avoid||{},b=r.attributes,_=r.transform,w=r.containerGroup,k=t._fullLayout,T=1,M=!1,A=g.title,S=(A&&A.text?A.text:\"\").trim(),E=A&&A.font?A.font:{},L=E.family,C=E.size,P=E.color;\"title.text\"===v?d=\"titleText\":-1!==v.indexOf(\"axis\")?d=\"axisTitleText\":v.indexOf(!0)&&(d=\"colorbarTitleText\");var O=t._context.edits[d];\"\"===S?T=0:S.replace(p,\" % \")===m.replace(p,\" % \")&&(T=.2,M=!0,O||(S=\"\")),r._meta?S=s.templateString(S,r._meta):k._meta&&(S=s.templateString(S,k._meta));var z=S||O;w||(w=s.ensureSingle(k._infolayer,\"g\",\"g-\"+e));var I=w.selectAll(\"text\").data(z?[0]:[]);if(I.enter().append(\"text\"),I.text(S).attr(\"class\",e),I.exit().remove(),!z)return w;function D(t){s.syncOrAsync([R,F],t)}function R(e){var r;return _?(r=\"\",_.rotate&&(r+=\"rotate(\"+[_.rotate,b.x,b.y]+\")\"),_.offset&&(r+=\"translate(0, 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n=t(\"../../plots/font_attributes\"),a=t(\"../color/attributes\"),i=t(\"../../lib/extend\").extendFlat,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/pad_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:i(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:a.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plot_api/plot_template\":755,\"../../plots/font_attributes\":791,\"../../plots/pad_attributes\":825,\"../color/attributes\":590}],681:[function(t,e,r){\"use strict\";e.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"\\u25c4\",right:\"\\u25ba\",up:\"\\u25b2\",down:\"\\u25bc\"}}},{}],682:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/array_container_defaults\"),i=t(\"./attributes\"),o=t(\"./constants\").name,s=i.buttons;function l(t,e,r){function o(r,a){return n.coerce(t,e,i,r,a)}o(\"visible\",a(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,a){return n.coerce(t,e,s,r,a)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}e.exports=function(t,e){a(t,e,{name:o,handleItemDefaults:l})}},{\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"./attributes\":680,\"./constants\":681}],683:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../color\"),o=t(\"../drawing\"),s=t(\"../../lib\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../plot_api/plot_template\").arrayEditor,u=t(\"../../constants/alignment\").LINE_SPACING,h=t(\"./constants\"),f=t(\"./scrollbox\");function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function g(t,e,r,n,a,i,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?m(t,n,null,null,e):\"dropdown\"===e.type&&(a.attr(h.menuIndexAttrName,\"-1\"),v(t,n,a,i,e),s||m(t,n,a,i,e))}function v(t,e,r,n,a){var 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c=n.select(this);c.call(y,o,s,t).call(A,o,b),c.on(\"click\",function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(g(t,o,0,e,r,i,-1),a.executeAPICommand(t,s.method,s.args2)):(g(t,o,0,e,r,i,l),a.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))}),c.on(\"mouseover\",function(){c.call(w)}),c.on(\"mouseout\",function(){c.call(k,o),u.call(_,o)})}),u.call(_,o),x?(T.w=Math.max(m.openWidth,m.headerWidth),T.h=b.y-T.t):(T.w=b.x-T.l,T.h=Math.max(m.openHeight,m.headerHeight)),T.direction=o.direction,i&&(u.size()?function(t,e,r,n,a,i){var o,s,l,c=a.direction,u=\"up\"===c||\"down\"===c,f=a._dims,p=a.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(i,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\");n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,i,o,T):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){e=!1,r||t.disable()});r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,e||t.disable()})}(i))}function y(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"})}).call(i.stroke,e.bordercolor).call(i.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var a=s.ensureSingle(t,\"text\",h.itemTextClassName,function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":\"start\",\"data-notex\":1})}),i=r.label,c=n._fullLayout._meta;c&&(i=s.templateString(i,c)),a.call(o.font,e.font).text(i).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each(function(t,a){var o=n.select(this);a===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(i.fill,h.activeColor)})}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(i.fill,h.hoverColor)}function k(t,e){t.select(\"rect.\"+h.itemRectClassName).call(i.fill,e.bgcolor)}function T(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},i=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));i.enter().append(\"g\").classed(h.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);i.each(function(a,i){var s=n.select(this);s.call(y,e,a,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),g=e.font.size*u,v=l.lineCount(f),m=Math.max(g*v,h.minHeight)+h.textOffsetY;m=Math.ceil(m),d=Math.ceil(d),r.widths[i]=d,r.heights[i]=m,r.height1=Math.max(r.height1,m),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=m+h.gapButton,r.openHeight+=m+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,m),r.openHeight=r.totalHeight)}),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),i.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,g=this.position.w,v=this.position.t,m=this.position.h,y=this.position.direction,x=\"down\"===y,b=\"left\"===y,_=\"up\"===y,w=g,k=m;x||b||\"right\"===y||_||(this.position.direction=\"down\",x=!0),x||_?(h=(u=d)+w,x?(f=v,k=(p=Math.min(f+k,c))-f):k=(p=v+k)-(f=Math.max(p-k,0))):(p=(f=v)+k,b?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:k};var T=g>w,M=s.barLength+2*s.barPad,A=s.barWidth+2*s.barPad,S=d,E=v+m;E+A>c&&(E=c-A);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(T?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(a.fill,s.barColor),T?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:M,height:A}),this._hbarXMin=S+M/2,this._hbarTranslateMax=w-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=m>k,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,z=d+g,I=v;z+P>l&&(z=l-P);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(a.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:I,width:P,height:O}),this._vbarYMin=I+O/2,this._vbarTranslateMax=k-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=C?h+P+.5:h+.5,N=f-.5,j=T?p+A+.5:p+.5,V=o._topdefs.selectAll(\"#\"+R).data(T||C?[0]:[]);if(V.exit().remove(),V.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),T||C?(this._clipRect=V.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(i.setClipUrl,R,this.gd),this.bg.attr({x:d,y:v,width:g,height:m})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(i.setClipUrl,null),delete this._clipRect),T||C){var U=n.behavior.drag().on(\"dragstart\",function(){n.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(U);var 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l=t[n];(l.loc||0===l.loc)&&(a[l.loc]=l)}function u(t){var r=h(t,e.featureidkey||\"id\").get(),n=a[r];if(n){var l=t.geometry;if(\"Polygon\"===l.type||\"MultiPolygon\"===l.type){var u={type:\"Feature\",id:r,geometry:l,properties:{}};u.properties.ct=function(t){var e,r=t.geometry;if(\"MultiPolygon\"===r.type)for(var n=r.coordinates,a=0,s=0;s<n.length;s++){var l={type:\"Polygon\",coordinates:n[s]},c=i.default(l);c>a&&(a=c,e=l)}else e=r;return o.default(e).geometry.coordinates}(u),n.fIn=t,n.fOut=u,s.push(u)}else c.log([\"Location\",n.loc,\"does not have a valid GeoJSON geometry.\",\"Traces with locationmode *geojson-id* only support\",\"*Polygon* and *MultiPolygon* geometries.\"].join(\" \"))}delete a[r]}switch(r.type){case\"FeatureCollection\":var f=r.features;for(n=0;n<f.length;n++)u(f[n]);break;case\"Feature\":u(r);break;default:return c.warn([\"Invalid GeoJSON type\",(r.type||\"none\")+\".\",\"Traces with locationmode *geojson-id* only support\",\"*FeatureCollection* and *Feature* 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l=e[n].cd[0].trace._fullInput,c=t._fullLayout._tracePreGUI[l.uid]||{};void 0===c.selectedpoints&&(c.selectedpoints=l._input.selectedpoints||null)}if(r){var u=r.points||[];for(n=0;n<e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&&(s.selectedpoints=[]);for(n=0;n<u.length;n++){var h=u[n],d=h.data,g=h.fullData;h.pointIndices?([].push.apply(d.selectedpoints,h.pointIndices),s._fullInput!==s&&[].push.apply(g.selectedpoints,h.pointIndices)):(d.selectedpoints.push(h.pointIndex),s._fullInput!==s&&g.selectedpoints.push(h.pointIndex))}}else for(n=0;n<e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&&delete s._fullInput.selectedpoints;var v=!1;for(n=0;n<e.length;n++){s=(o=(i=e[n]).cd)[0].trace,a.traceIs(s,\"regl\")&&(v=!0);var m=i._module,y=m.styleOnSelect||m.style;y&&(y(t,o,o[0].node3),o[0].nodeRangePlot3&&y(t,o,o[0].nodeRangePlot3))}v&&(f(t),p(t))}function 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n=t(\"d3\"),a=t(\"fast-isnumeric\"),i=t(\"../../lib\"),o=i.cleanNumber,s=i.ms2DateTime,l=i.dateTime2ms,c=i.ensureNumber,u=i.isArrayOrTypedArray,h=t(\"../../constants/numerical\"),f=h.FP_SAFE,p=h.BADNUM,d=h.LOG_CLIP,g=h.ONEDAY,v=h.ONEHOUR,m=h.ONEMIN,y=h.ONESEC,x=t(\"./axis_ids\"),b=t(\"./constants\"),_=b.HOUR_PATTERN,w=b.WEEKDAY_PATTERN;function k(t){return Math.pow(10,t)}function T(t){return null!=t}e.exports=function(t,e){e=e||{};var r=t._id||\"x\",h=r.charAt(0);function M(e,r){if(e>0)return Math.log(e)/Math.LN10;if(e<=0&&r&&t.range&&2===t.range.length){var n=t.range[0],a=t.range[1];return.5*(n+a-2*d*Math.abs(n-a))}return p}function A(e,r,n){var o=l(e,n||t.calendar);if(o===p){if(!a(e))return p;e=+e;var s=Math.floor(10*i.mod(e+.05,1)),c=Math.round(e-s/10);o=l(new Date(c))+s/10}return o}function S(e,r,n){return s(e,r,n||t.calendar)}function E(e){return t._categories[Math.round(e)]}function L(e){if(T(e)){if(void 0===t._categoriesMap&&(t._categoriesMap={}),void 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s,l,c=t.r2l(t[i][0],o),u=t.r2l(t[i][1],o),f=\"y\"===h;if((f?(t._offset=n.t+(1-t.domain[1])*n.h,t._length=n.h*(t.domain[1]-t.domain[0]),t._m=t._length/(c-u),t._b=-t._m*u):(t._offset=n.l+t.domain[0]*n.w,t._length=n.w*(t.domain[1]-t.domain[0]),t._m=t._length/(u-c),t._b=-t._m*c),t._rangebreaks=[],t._lBreaks=0,t._m2=0,t._B=[],t.rangebreaks)&&(t._rangebreaks=t.locateBreaks(Math.min(c,u),Math.max(c,u)),t._rangebreaks.length)){for(s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._lBreaks+=Math.abs(l.max-l.min);var p=f;c>u&&(p=!p),p&&t._rangebreaks.reverse();var d=p?-1:1;for(t._m2=d*t._length/(Math.abs(u-c)-t._lBreaks),t._B.push(-t._m2*(f?u:c)),s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._B.push(t._B[t._B.length-1]-d*t._m2*(l.max-l.min));for(s=0;s<t._rangebreaks.length;s++)(l=t._rangebreaks[s]).pmin=I(l.min),l.pmax=I(l.max)}if(!isFinite(t._m)||!isFinite(t._b)||t._length<0)throw e._replotting=!1,new Error(\"Something went wrong with axis 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n=t(\"d3\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../components/fx\"),c=t(\"../plots\"),u=t(\"../cartesian/axes\"),h=t(\"../cartesian/autorange\").getAutoRange,f=t(\"../../components/dragelement\"),p=t(\"../cartesian/select\").prepSelect,d=t(\"../cartesian/select\").selectOnClick,g=t(\"./zoom\"),v=t(\"./constants\"),m=t(\"../../lib/geo_location_utils\"),y=t(\"../../lib/topojson_utils\"),x=t(\"topojson-client\").feature;function b(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}t(\"./projections\")(n);var _=b.prototype;function w(t,e){var r=v.clipPad,n=t[0]+r,a=t[1]-r,i=e[0]+r,o=e[1]-r;n>0&&a<0&&(a+=360);var s=(a-n)/4;return{type:\"Polygon\",coordinates:[[[n,i],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[a,o],[a,i],[a-s,i],[a-2*s,i],[a-3*s,i],[n,i]]]}}e.exports=function(t){return new b(t)},_.plot=function(t,e,r){var n=this,a=e[this.id],i=[],o=!1;for(var s in v.layerNameToAdjective)if(\"frame\"!==s&&a[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var c=y.getTopojsonName(a);null!==n.topojson&&c===n.topojsonName||(n.topojsonName=c,void 0===PlotlyGeoAssets.topojson[n.topojsonName]&&i.push(n.fetchTopojson()))}i=i.concat(m.fetchTraceGeoData(t)),r.push(new Promise(function(r,a){Promise.all(i).then(function(){n.topojson=PlotlyGeoAssets.topojson[n.topojsonName],n.update(t,e),r()}).catch(a)}))},_.fetchTopojson=function(){var t=this,e=y.getTopojsonPath(t.topojsonURL,t.topojsonName);return new Promise(function(r,a){n.json(e,function(n,i){if(n)return 404===n.status?a(new Error([\"plotly.js could not find topojson file at\",e,\".\",\"Make sure the *topojsonURL* plot config option\",\"is set properly.\"].join(\" \"))):a(new Error([\"unexpected error while fetching topojson file at\",e].join(\" \")));PlotlyGeoAssets.topojson[t.topojsonName]=i,r()})})},_.update=function(t,e){var r=e[this.id];this.hasChoropleth=!1;for(var n=0;n<t.length;n++){var a=t[n],i=a[0].trace;\"choropleth\"===i.type&&(this.hasChoropleth=!0),!0===i.visible&&i._length>0&&i._module.calcGeoJSON(a,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),c.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()}},_.updateProjection=function(t,e){var r=this.graphDiv,o=e[this.id],s=e._size,l=o.domain,c=o.projection,u=o.lonaxis,f=o.lataxis,p=u._ax,d=f._ax,g=this.projection=function(t){for(var e=t.projection.type,r=n.geo[v.projNames[e]](),a=t._isClipped?v.lonaxisSpan[e]/2:null,i=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],o=function(t){return t?r:[]},s=0;s<i.length;s++){var l=i[s];\"function\"!=typeof r[l]&&(r[l]=o)}r.isLonLatOverEdges=function(t){if(null===r(t))return!0;if(a){var e=r.rotate();return n.geo.distance(t,[-e[0],-e[1]])>a*Math.PI/180}return!1},r.getPath=function(){return n.geo.path().projection(r)},r.getBounds=function(t){return r.getPath().bounds(t)},r.fitExtent=function(t,e){var n=t[1][0]-t[0][0],a=t[1][1]-t[0][1],i=r.clipExtent&&r.clipExtent();r.scale(150).translate([0,0]),i&&r.clipExtent(null);var o=r.getBounds(e),s=Math.min(n/(o[1][0]-o[0][0]),a/(o[1][1]-o[0][1])),l=+t[0][0]+(n-s*(o[1][0]+o[0][0]))/2,c=+t[0][1]+(a-s*(o[1][1]+o[0][1]))/2;return i&&r.clipExtent(i),r.scale(150*s).translate([l,c])},r.precision(v.precision),a&&r.clipAngle(a-v.clipPad);return r}(o),m=[[s.l+s.w*l.x[0],s.t+s.h*(1-l.y[1])],[s.l+s.w*l.x[1],s.t+s.h*(1-l.y[0])]],y=o.center||{},x=c.rotation||{},b=u.range||[],_=f.range||[];if(o.fitbounds){p._length=m[1][0]-m[0][0],d._length=m[1][1]-m[0][1],p.range=h(r,p),d.range=h(r,d);var k=(p.range[0]+p.range[1])/2,T=(d.range[0]+d.range[1])/2;if(o._isScoped)y={lon:k,lat:T};else if(o._isClipped){y={lon:k,lat:T},x={lon:k,lat:T,roll:x.roll};var M=c.type,A=v.lonaxisSpan[M]/2||180,S=v.lataxisSpan[M]/2||180;b=[k-A,k+A],_=[T-S,T+S]}else y={lon:k,lat:T},x={lon:k,lat:x.lat,roll:x.roll}}g.center([y.lon-x.lon,y.lat-x.lat]).rotate([-x.lon,-x.lat,x.roll]).parallels(c.parallels);var E=w(b,_);g.fitExtent(m,E);var L=this.bounds=g.getBounds(E),C=this.fitScale=g.scale(),P=g.translate();if(!isFinite(L[0][0])||!isFinite(L[0][1])||!isFinite(L[1][0])||!isFinite(L[1][1])||isNaN(P[0])||isNaN(P[0])){for(var O=[\"fitbounds\",\"projection.rotation\",\"center\",\"lonaxis.range\",\"lataxis.range\"],z=\"Invalid geo settings, relayout'ing to default 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n,a,i,o=e[t],s=v.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,a=s.lataxisRange,i=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,a=s.lonaxisRange,i=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};u.setConvert(l,r);var c=u.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var h=c.length,f=new Array(h),p=0;p<h;p++)for(var d=c[p].x,g=f[p]=[],m=a[0];m<a[1]+2.5;m+=2.5)g.push(i(d,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(o.stroke,e[r].gridcolor).call(s.dashLine,\"\",e[r].gridwidth),h(r)?n.call(o.stroke,e[i+\"color\"]).call(s.dashLine,\"\",e[i+\"width\"]):f(r)&&n.call(o.fill,e[i+\"color\"])})},_.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,a=r[0][0]-n,i=r[0][1]-n,l=r[1][0]-a+n,c=r[1][1]-i+n;s.setRect(this.clipRect,a,i,l,c),this.bgRect.call(s.setRect,a,i,l,c).call(o.fill,e.bgcolor),this.xaxis._offset=a,this.xaxis._length=l,this.yaxis._offset=i,this.yaxis._length=c},_.updateFx=function(t,e){var r=this,i=r.graphDiv,o=r.bgRect,s=t.dragmode,c=t.clickmode;if(!r.isStatic){var u;\"select\"===s?u=function(t,e){(t.range={})[r.id]=[v([e.xmin,e.ymin]),v([e.xmax,e.ymax])]}:\"lasso\"===s&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(v)});var h={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(e){2===e&&t._zoomlayer.selectAll(\".select-outline\").remove()}};\"pan\"===s?(o.node().onmousedown=null,o.call(g(r,e)),o.on(\"dblclick.zoom\",function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},_.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},_.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",function(t){return r(t.geojson)});for(t in this.dataPoints)this.dataPoints[t].attr(\"display\",a).attr(\"transform\",n)}},{\"../../components/color\":591,\"../../components/dragelement\":609,\"../../components/drawing\":612,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/geo_location_utils\":711,\"../../lib/topojson_utils\":744,\"../../registry\":846,\"../cartesian/autorange\":764,\"../cartesian/axes\":765,\"../cartesian/select\":782,\"../plots\":826,\"./constants\":793,\"./projections\":798,\"./zoom\":799,d3:165,\"topojson-client\":538}],795:[function(t,e,r){\"use strict\";var n=t(\"../../plots/get_data\").getSubplotCalcData,a=t(\"../../lib\").counterRegex,i=t(\"./geo\"),o=\"geo\",s=a(o),l={};l[o]={valType:\"subplotid\",dflt:o,editType:\"calc\"},e.exports={attr:o,name:o,idRoot:o,idRegex:s,attrRegex:s,attributes:l,layoutAttributes:t(\"./layout_attributes\"),supplyLayoutDefaults:t(\"./layout_defaults\"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots[o],s=0;s<a.length;s++){var 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n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=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:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({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 a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d)0===u(t,\"gl2d\",o).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 a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.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\":631,\"../../constants/xmlns_namespaces\":694,\"../../plot_api/edit_types\":748,\"../cartesian\":776,\"../cartesian/attributes\":763,\"../cartesian/constants\":771,\"../get_data\":800,\"../layout_attributes\":817,\"./scene2d\":804}],804:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),v=g.enforce,m=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=[\"xaxis\",\"yaxis\"],b=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function _(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=f(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=_;var w=_.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({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),r.className+=\" user-select-none\";var i=this.svgContainer=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\";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(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.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,a=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 i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},w.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},w.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(b),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},w.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],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].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())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};m(s,this.xaxis),m(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[x[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},w.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){\"lasso\"===t||\"select\"===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},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.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 h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.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:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.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])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var v=this.fullData[g.trace.index]||{},m=g.pointIndex,y=s.castHoverinfo(v,a,m);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(v,m,\"bgcolor\")||g.color,borderColor:s.castHoverOption(v,m,\"bordercolor\"),fontFamily:s.castHoverOption(v,m,\"font.family\"),fontSize:s.castHoverOption(v,m,\"font.size\"),fontColor:s.castHoverOption(v,m,\"font.color\"),nameLength:s.castHoverOption(v,m,\"namelength\"),textAlign:s.castHoverOption(v,m,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":630,\"../../lib/show_no_webgl_msg\":738,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"../cartesian/autorange\":764,\"../cartesian/constants\":771,\"../cartesian/constraints\":772,\"./camera\":801,\"./convert\":802,\"gl-plot2d\":290,\"gl-select-box\":302,\"gl-spikes2d\":311,\"webgl-context\":554}],805:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=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:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.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}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!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,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._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\":631,\"../../constants/xmlns_namespaces\":694,\"../../lib\":717,\"../../plot_api/edit_types\":748,\"../get_data\":800,\"./layout/attributes\":806,\"./layout/defaults\":810,\"./layout/layout_attributes\":811,\"./scene\":815}],806:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],807:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.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:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":591,\"../../../lib/extend\":708,\"../../../plot_api/edit_types\":748,\"../../cartesian/layout_attributes\":777}],808:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=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,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":717,\"../../../plot_api/plot_template\":755,\"../../cartesian/axis_defaults\":767,\"../../cartesian/type_defaults\":788,\"./axis_attributes\":807,tinycolor2:535}],809:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"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[i[r]];o.visible?(this.labels[r]=t._meta?a.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\":717,\"../../../lib/str2rgbarray\":740}],810:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var g=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var v=n.getDfltFromLayout(\"dragmode\");if(!1!==v&&!v)if(v=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,x=t.camera.up.z;0!==x&&(m&&y&&x?x/Math.sqrt(m*m+y*y+x*x)>.999&&(v=\"turntable\"):v=\"turntable\")}else v=\"turntable\";r(\"dragmode\",v),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":591,\"../../../lib\":717,\"../../../registry\":846,\"../../get_data\":800,\"../../subplot_defaults\":840,\"./axis_defaults\":808,\"./layout_attributes\":811}],811:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=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:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({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\":717,\"../../../lib/extend\":708,\"../../domain\":790,\"./axis_attributes\":807}],812:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){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]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[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 i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":740}],813:[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[i[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 h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u),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=h}}e.ticks=l;for(var c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(var 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],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":717,\"../../cartesian/axes\":765}],814:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],815:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),m=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=y(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:b,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(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",function(){a(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,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(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,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var m=v(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},k=p.castHoverinfo(b,e.fullLayout,_),T=(k||\"\").split(\"+\"),M=k&&\"all\"===k;b.hovertemplate||M||(-1===T.indexOf(\"x\")&&(w.xLabel=void 0),-1===T.indexOf(\"y\")&&(w.yLabel=void 0),-1===T.indexOf(\"z\")&&(w.zLabel=void 0),-1===T.indexOf(\"text\")&&(u.textLabel=void 0),-1===T.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==T.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==T.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==T.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==T.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==T.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*m[0]/m[3])*i,y:(.5-.5*m[1]/m[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);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):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function T(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=k[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,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(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&T(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=k[a],o=i.charAt(0),s=r[i],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][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var 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p=s.select(i._subplot.div);if(!(null===p.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var d=e._glimages.append(\"g\");d.attr(\"transform\",\"translate(\"+(n.l+n.w*u.x[0]+10)+\", \"+(n.t+n.h*(1-u.y[0])-31)+\")\"),d.append(\"path\").attr(\"d\",h.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),d.append(\"path\").attr(\"d\",h.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),d.append(\"path\").attr(\"d\",h.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),d.append(\"polygon\").attr(\"points\",h.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var g=p.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),v=e._glimages.append(\"g\"),m=v.append(\"text\");m.text(g).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":g});var 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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}}s.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=l(t)},s.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))},s.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},s.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},s.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates})},s.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,l(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 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t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},s.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 o(t,e);return n.update(r),n}},{\"../../lib\":717,\"./constants\":818,\"./convert_text_opts\":819}],822:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\").defaultLine,i=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\"),h=o({});h.family.dflt=\"Open Sans Regular, Arial Unicode MS 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strict\";var n=t(\"../../lib\"),a=t(\"../subplot_defaults\"),i=t(\"../array_container_defaults\"),o=t(\"./layout_attributes\");function s(t,e,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\"),i(t,e,{name:\"layers\",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,a){return n.coerce(t,e,o.layers,r,a)}if(r(\"visible\")){var a,i=r(\"sourcetype\"),s=\"raster\"===i||\"image\"===i;r(\"source\"),r(\"sourceattribution\"),\"vector\"===i&&r(\"sourcelayer\"),\"image\"===i&&r(\"coordinates\"),s&&(a=\"raster\");var l=r(\"type\",a);s&&\"raster\"!==l&&(l=e.type=\"raster\",n.log(\"Source types *raster* and *image* must drawn *raster* layer 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X=n.svg.axis().scale(r).ticks(5).tickSize(5);H.call(X).attr({transform:\"rotate(\"+f.radialAxis.orientation+\")\"}),H.selectAll(\".domain\").style(F),H.selectAll(\"g>text\").text(function(t,e){return this.textContent+f.radialAxis.ticksSuffix}).style(B).style({\"text-anchor\":\"start\"}).attr({x:0,y:0,dx:0,dy:0,transform:function(t,e){return\"horizontal\"===f.radialAxis.tickOrientation?\"rotate(\"+-f.radialAxis.orientation+\") translate(\"+[0,B[\"font-size\"]]+\")\":\"translate(\"+[0,B[\"font-size\"]]+\")\"}}),H.selectAll(\"g>line\").style({stroke:\"black\"})}var Z=t.select(\".angular.axis-group\").selectAll(\"g.angular-tick\").data(O),J=Z.enter().append(\"g\").classed(\"angular-tick\",!0);Z.attr({transform:function(t,e){return\"rotate(\"+W(t)+\")\"}}).style({display:f.angularAxis.visible?\"block\":\"none\"}),Z.exit().remove(),J.append(\"line\").classed(\"grid-line\",!0).classed(\"major\",function(t,e){return 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e%(f.minorTicks+1)!=0?\"\":f.angularAxis.rewriteTicks(this.textContent,e)});var Q=n.max(R.selectAll(\".angular-tick text\")[0].map(function(t,e){return t.getCTM().e+t.getBBox().width}));D.attr({transform:\"translate(\"+[x+Q,f.margin.top]+\")\"});var $=t.select(\"g.geometry-group\").selectAll(\"g\").size()>0,tt=t.select(\"g.geometry-group\").selectAll(\"g.geometry\").data(p);if(tt.enter().append(\"g\").attr({class:function(t,e){return\"geometry geometry\"+e}}),tt.exit().remove(),p[0]||$){var et=[];p.forEach(function(t,e){var n={};n.radialScale=r,n.angularScale=s,n.container=tt.filter(function(t,r){return r==e}),n.geometry=t.geometry,n.orientation=f.orientation,n.direction=f.direction,n.index=e,et.push({data:t,geometryConfig:n})});var rt=n.nest().key(function(t,e){return\"undefined\"!=typeof t.data.groupId||\"unstacked\"}).entries(et),nt=[];rt.forEach(function(t,e){\"unstacked\"===t.key?nt=nt.concat(t.values.map(function(t,e){return[t]})):nt.push(t.values)}),nt.forEach(function(t,e){var 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ft=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});R.on(\"mousemove.radial-guide\",function(t,e){var n=o.util.getMousePos(Y).radius;ft.attr({r:n}).style({opacity:.5}),it=r.invert(o.util.getMousePos(Y).radius);var a=o.util.convertToCartesian(n,f.radialAxis.orientation);ct.text(o.util.round(it)).move([a[0]+_[0],a[1]+_[1]])}).on(\"mouseout.radial-guide\",function(t,e){ft.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()}),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",function(e,r){var a=n.select(this),i=this.style.fill,s=\"black\",l=this.style.opacity||1;if(a.attr({\"data-opacity\":l}),i&&\"none\"!==i){a.attr({\"data-fill\":i}),s=n.hsl(i).darker().toString(),a.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};T&&(c.t=w[e[0]]);var u=\"t: \"+c.t+\", r: \"+c.r,h=this.getBoundingClientRect(),f=t.node().getBoundingClientRect(),p=[h.left+h.width/2-V[0]-f.left,h.top+h.height/2-V[1]-f.top];ut.config({color:s}).text(u),ut.move(p)}else 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n=e*Math.PI/180;return[e,t(n)]})},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach(function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)});var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map(function(t,e){return r[e]||r[0]})},o.util.fillArrays=function(t,e,r){return e.forEach(function(e,n){t[e]=o.util.ensureArray(t[e],r)}),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map(function(t,e){return n.sum(t)})},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var e=[];!o.util.arrayEqual(e,t);)e=t,t=[].concat.apply([],t);return t},o.util.deduplicate=function(t){return t.filter(function(t,e,r){return r.indexOf(t)==e})},o.util.convertToCartesian=function(t,e){var r=e*Math.PI/180;return[t*Math.cos(r),t*Math.sin(r)]},o.util.round=function(t,e){var r=e||2,n=Math.pow(10,r);return Math.round(t*n)/n},o.util.getMousePos=function(t){var e=n.mouse(t.node()),r=e[0],a=e[1],i={};return i.x=r,i.y=a,i.pos=e,i.angle=180*(Math.atan2(a,r)+Math.PI)/Math.PI,i.radius=Math.sqrt(r*r+a*a),i},o.util.duplicatesCount=function(t){for(var e,r={},n={},a=0,i=t.length;a<i;a++)(e=t[a])in r?(r[e]++,n[e]=r[e]):r[e]=1;return n},o.util.duplicates=function(t){return Object.keys(o.util.duplicatesCount(t))},o.util.translator=function(t,e,r,n){if(n){var a=r.slice();r=e,e=a}var i=e.reduce(function(t,e){if(\"undefined\"!=typeof t)return t[e]},t);\"undefined\"!=typeof i&&(e.reduce(function(t,r,n){if(\"undefined\"!=typeof t)return n===e.length-1&&delete 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d.stroke(r,a,i)},\"stroke-width\":function(t,e){return d[\"stroke-width\"](r,a,i)},\"stroke-dasharray\":function(t,e){return d[\"stroke-dasharray\"](r,a,i)},opacity:function(t,e){return d.opacity(r,a,i)},display:function(t,e){return d.display(r,a,i)}})}};var h=e.angularScale.range(),f=Math.abs(h[1]-h[0])/o[0].length*Math.PI/180,p=n.svg.arc().startAngle(function(t){return-f/2}).endAngle(function(t){return f/2}).innerRadius(function(t){return e.radialScale(l+(t[2]||0))}).outerRadius(function(t){return e.radialScale(l+(t[2]||0))+e.radialScale(t[1])});c.arc=function(t,r,a){n.select(this).attr({class:\"mark arc\",d:p,transform:function(t,r){return\"rotate(\"+(e.orientation+s(t[0])+90)+\")\"}})};var d={fill:function(e,r,n){return t[n].data.color},stroke:function(e,r,n){return t[n].data.strokeColor},\"stroke-width\":function(e,r,n){return t[n].data.strokeSize+\"px\"},\"stroke-dasharray\":function(e,n,a){return r[t[a].data.strokeDash]},opacity:function(e,r,n){return t[n].data.opacity},display:function(e,r,n){return\"undefined\"==typeof t[n].data.visible||t[n].data.visible?\"block\":\"none\"}},g=n.select(this).selectAll(\"g.layer\").data(o);g.enter().append(\"g\").attr({class:\"layer\"});var v=g.selectAll(\"path.mark\").data(function(t,e){return t});v.enter().append(\"path\").attr({class:\"mark\"}),v.style(d).each(c[e.geometryType]),v.exit().remove(),g.exit().remove()})}return i.config=function(e){return arguments.length?(e.forEach(function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)}),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map(function(t,r){return[].concat(t).map(function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i})}),o=n.merge(i);o=o.filter(function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)}),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map(function(t,e){return t.color}),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),v=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var m=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);m.enter().append(\"stop\"),m.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,v(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(v).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text(function(t,e){return o[e].name}),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,v=p.height+2*f;return r.attr({d:\"M\"+[[l,-v/2],[l,-v/4],[i.hasTick?0:l,0],[l,v/4],[l,v/2],[g,v/2],[g,-v/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-v/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map(function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n}),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)})}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach(function(t,e){u[c[l.indexOf(t.key)]]=t.value}),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":686,\"../../../lib\":717,d3:165}],836:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":591,\"../../../lib\":717,\"./micropolar\":835,\"./undo_manager\":837,d3:165}],837:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n?this:(e.splice(r+1,e.length-r),e.push(t),r=e.length-1,this)},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],838:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),v=t(\"../../components/fx\"),m=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),k=t(\"../../plot_api/subroutines\").redrawReglTraces,T=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,L=o.deg2rad,C=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var O=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function I(t,e){return e[o.findIndexOfMin(e,function(e){return o.angleDist(t,e)})]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},O.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},O.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",function(t){return\"polarsublayer \"+t}).each(function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}}),h.order()},O.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(L);var p,d,g,v,m,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(L(s)),u=Math.sin(L(s)),h=Math.cos(L(l)),f=Math.sin(L(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,m=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],v=[c[0]+m,c[1]-m]):(d=h,m=(u-(p=h/w))/n.w/2,g=[o[0]+m,o[1]-m],v=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],T=this.yOffset2=n.t+n.h*(1-v[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=k-M*y[0],C=this.cy=T+M*y[3],P=this.cxx=S-k,O=this.cyy=C-T;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,O)),r.frontplot.attr(\"transform\",R(k,T)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,C)).call(s.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},O.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},O.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},O.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var v=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},m=z(f);if(r.radialTickLayout!==m&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=m),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:v,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:v,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?C(I(L(f.angle),r.vangles)):f.angle,w=R(c,h),k=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:k}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:k}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},O.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=L(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,v=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*v:g+.8*v}this.layers[\"radial-axis-title\"]=m.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},O.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=C(p.tick0),p.dtick=C(p.dtick));var g=function(t){return 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strict\";var n=t(\"../../components/color\"),a=t(\"../../plot_api/plot_template\"),i=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"../cartesian/tick_label_defaults\"),l=t(\"../cartesian/tick_mark_defaults\"),c=t(\"../cartesian/tick_value_defaults\"),u=t(\"../cartesian/line_grid_defaults\"),h=t(\"./layout_attributes\"),f=[\"aaxis\",\"baxis\",\"caxis\"];function p(t,e,r,i){var o,s,l,c=r(\"bgcolor\"),u=r(\"sum\");i.bgColor=n.combine(c,i.paper_bgcolor);for(var h=0;h<f.length;h++)s=t[o=f[h]]||{},(l=a.newContainer(e,o))._name=o,d(s,l,i,e);var p=e.aaxis,g=e.baxis,v=e.caxis;p.min+g.min+v.min>=u&&(p.min=0,g.min=0,v.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function d(t,e,r,n){var a=h[e._name];function o(r,n){return i.coerce(t,e,a,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var f=o(\"color\"),p=f!==a.color.dflt?f:r.font.color,d=e._name.charAt(0).toUpperCase(),g=\"Component 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),v=t(\"../../components/titles\"),m=t(\"../cartesian/select\").prepSelect,y=t(\"../cartesian/select\").selectOnClick,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/constants\");function _(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=_;var w=_.prototype;w.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},w.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++){if(!1===t[a][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),f.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(l.fill,r.bgcolor)},w.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,a=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),c.setClipUrl(this.layers.backplot,n,e),c.setClipUrl(this.layers.grids,n,e)},w.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below 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r,n,a,i,o,s,f=this,p=t.domain,d=(p.x[0]+p.x[1])/2,g=(p.y[0]+p.y[1])/2,v=p.x[1]-p.x[0],m=p.y[1]-p.y[0],y=v*e.w,x=m*e.h,b=t.sum,_=t.aaxis.min,w=t.baxis.min,T=t.caxis.min;y>k*x?a=(i=x)*k:i=(a=y)/k,o=v*a/y,s=m*i/x,r=e.l+e.w*d-a/2,n=e.t+e.h*(1-g)-i/2,f.x0=r,f.y0=n,f.w=a,f.h=i,f.sum=b,f.xaxis={type:\"linear\",range:[_+2*T-b,b-_-2*w],domain:[d-o/2,d+o/2],_id:\"x\"},u(f.xaxis,f.graphDiv._fullLayout),f.xaxis.setScale(),f.xaxis.isPtWithinRange=function(t){return t.a>=f.aaxis.range[0]&&t.a<=f.aaxis.range[1]&&t.b>=f.baxis.range[1]&&t.b<=f.baxis.range[0]&&t.c>=f.caxis.range[1]&&t.c<=f.caxis.range[0]},f.yaxis={type:\"linear\",range:[_,b-w-T],domain:[g-s/2,g+s/2],_id:\"y\"},u(f.yaxis,f.graphDiv._fullLayout),f.yaxis.setScale(),f.yaxis.isPtWithinRange=function(){return!0};var M=f.yaxis.domain[0],A=f.aaxis=h({},t.aaxis,{range:[_,b-w-T],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[M,M+s*k],anchor:\"free\",position:0,_id:\"y\",_length:a});u(A,f.graphDiv._fullLayout),A.setScale();var S=f.baxis=h({},t.baxis,{range:[b-_-T,w],side:\"bottom\",domain:f.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:a});u(S,f.graphDiv._fullLayout),S.setScale();var E=f.caxis=h({},t.caxis,{range:[b-_-w,T],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[M,M+s*k],anchor:\"free\",position:0,_id:\"y\",_length:a});u(E,f.graphDiv._fullLayout),E.setScale();var L=\"M\"+r+\",\"+(n+i)+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDef.select(\"path\").attr(\"d\",L),f.layers.plotbg.select(\"path\").attr(\"d\",L);var C=\"M0,\"+i+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDefRelative.select(\"path\").attr(\"d\",C);var P=\"translate(\"+r+\",\"+n+\")\";f.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),f.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=\"translate(\"+(r-S._offset)+\",\"+(n+i)+\")\";f.layers.baxis.attr(\"transform\",O),f.layers.bgrid.attr(\"transform\",O);var 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I=\"translate(\"+(r+a/2)+\",\"+n+\")rotate(-30)translate(0,\"+-E._offset+\")\";f.layers.caxis.attr(\"transform\",I),f.layers.cgrid.attr(\"transform\",I),f.drawAxes(!0),f.layers.aline.select(\"path\").attr(\"d\",A.showline?\"M\"+r+\",\"+(n+i)+\"l\"+a/2+\",-\"+i:\"M0,0\").call(l.stroke,A.linecolor||\"#000\").style(\"stroke-width\",(A.linewidth||0)+\"px\"),f.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+i)+\"h\"+a:\"M0,0\").call(l.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),f.layers.cline.select(\"path\").attr(\"d\",E.showline?\"M\"+(r+a/2)+\",\"+n+\"l\"+a/2+\",\"+i:\"M0,0\").call(l.stroke,E.linecolor||\"#000\").style(\"stroke-width\",(E.linewidth||0)+\"px\"),f.graphDiv._context.staticPlot||f.initInteractions(),c.setClipUrl(f.layers.frontplot,f._hasClipOnAxisFalse?null:f.clipId,f.graphDiv)},w.drawAxes=function(t){var 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T=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+T+\"v3h-\"+(T+5.2)+\"l\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l2.6,1.5l-\"+T/2+\",\"+.87*T+\"Z\",A=\"m0.87,.5h-\"+T+\"v3h\"+(T+5.2)+\"l-\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l-2.6,1.5l\"+T/2+\",\"+.87*T+\"Z\",S=\"m0,1l\"+T/2+\",\"+.87*T+\"l2.6,-1.5l-\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l-\"+(T/2+2.6)+\",\"+(.87*T+4.5)+\"l2.6,1.5l\"+T/2+\",-\"+.87*T+\"Z\",E=\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2Z\",L=!0;function C(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}w.initInteractions=function(){var t,e,r,n,u,h,f,p,v,_,w=this,T=w.layers.plotbg.select(\"path\").node(),P=w.graphDiv,O=P._fullLayout._zoomlayer,z={element:T,gd:P,plotinfo:{id:w.id,xaxis:w.xaxis,yaxis:w.yaxis},subplot:w.id,prepFn:function(i,o,s){z.xaxes=[w.xaxis],z.yaxes=[w.yaxis];var c=P._fullLayout.dragmode;z.minDrag=\"lasso\"===c?1:void 0,\"zoom\"===c?(z.moveFn=N,z.clickFn=D,z.doneFn=j,function(i,o,s){var c=T.getBoundingClientRect();t=o-c.left,e=s-c.top,r={a:w.aaxis.range[0],b:w.baxis.range[1],c:w.caxis.range[1]},u=r,n=w.aaxis.range[1]-r.a,h=a(w.graphDiv._fullLayout[w.id].bgcolor).getLuminance(),f=\"M0,\"+w.h+\"L\"+w.w/2+\", 0L\"+w.w+\",\"+w.h+\"Z\",p=!1,v=O.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+w.x0+\", \"+w.y0+\")\").style({fill:h>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",f),_=O.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",\"translate(\"+w.x0+\", \"+w.y0+\")\").style({fill:l.background,stroke:l.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),x(P)}(0,o,s)):\"pan\"===c?(z.moveFn=V,z.clickFn=D,z.doneFn=U,r={a:w.aaxis.range[0],b:w.baxis.range[1],c:w.caxis.range[1]},u=r,x(P)):\"select\"!==c&&\"lasso\"!==c||m(i,o,s,z,c)}};function I(t){var e={};return e[w.id+\".aaxis.min\"]=t.a,e[w.id+\".baxis.min\"]=t.b,e[w.id+\".caxis.min\"]=t.c,e}function D(t,e){var r=P._fullLayout.clickmode;C(P),2===t&&(P.emit(\"plotly_doubleclick\",null),i.call(\"_guiRelayout\",P,I({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&y(e,P,[w.xaxis],[w.yaxis],w.id,z),r.indexOf(\"event\")>-1&&g.click(P,e,w.id)}function R(t,e){return 1-e/w.h}function F(t,e){return 1-(t+(w.h-e)/Math.sqrt(3))/w.w}function B(t,e){return(t-(w.h-e)/Math.sqrt(3))/w.w}function N(a,i){var o=t+a,s=e+i,l=Math.max(0,Math.min(1,R(0,e),R(0,s))),c=Math.max(0,Math.min(1,F(t,e),F(o,s))),d=Math.max(0,Math.min(1,B(t,e),B(o,s))),g=(l/2+d)*w.w,m=(1-l/2-c)*w.w,y=(g+m)/2,x=m-g,T=(1-l)*w.h,L=T-x/k;x<b.MINZOOM?(u=r,v.attr(\"d\",f),_.attr(\"d\",\"M0,0Z\")):(u={a:r.a+l*n,b:r.b+c*n,c:r.c+d*n},v.attr(\"d\",f+\"M\"+g+\",\"+T+\"H\"+m+\"L\"+y+\",\"+L+\"L\"+g+\",\"+T+\"Z\"),_.attr(\"d\",\"M\"+t+\",\"+e+E+\"M\"+g+\",\"+T+M+\"M\"+m+\",\"+T+A+\"M\"+y+\",\"+L+S)),p||(v.transition().style(\"fill\",h>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),_.transition().style(\"opacity\",1).duration(200),p=!0),P.emit(\"plotly_relayouting\",I(u))}function j(){C(P),u!==r&&(i.call(\"_guiRelayout\",P,I(u)),L&&P.data&&P._context.showTips&&(o.notifier(s(P,\"Double-click to zoom back out\"),\"long\"),L=!1))}function V(t,e){var 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n=t(\"../choropleth/attributes\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:i({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841,\"../choropleth/attributes\":924}],934:[function(t,e,r){\"use 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l=s.cd,c=l[0].trace,u=\"h\"===c.orientation,h=l[s.index];s[(u?\"x\":\"y\")+\"LabelVal\"]=h.s,s.percentInitial=h.begR,s.percentInitialLabel=i(h.begR,1),s.percentPrevious=h.difR,s.percentPreviousLabel=i(h.difR,1),s.percentTotal=h.sumR,s.percentTotalLabel=i(h.sumR,1);var f=h.hi||c.hoverinfo,p=[];if(f&&\"none\"!==f&&\"skip\"!==f){var d=\"all\"===f,g=f.split(\"+\"),v=function(t){return d||-1!==g.indexOf(t)};v(\"percent initial\")&&p.push(s.percentInitialLabel+\" of initial\"),v(\"percent previous\")&&p.push(s.percentPreviousLabel+\" of previous\"),v(\"percent total\")&&p.push(s.percentTotalLabel+\" of total\")}return s.extraText=p.join(\"<br>\"),s.color=function(t,e){var r=t.marker,a=e.mc||r.color,i=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(a))return a;if(n(i)&&o)return i}(c,h),[s]}}},{\"../../components/color\":591,\"../../lib\":717,\"../bar/hover\":863}],986:[function(t,e,r){\"use 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h=c(r,l,u,p),f=h[0],d=h[1],v=\"\";f[0]!==o&&d[0]!==o&&f[1]!==o&&d[1]!==o&&f[2]!==o&&d[2]!==o&&f[3]!==o&&d[3]!==o&&(v+=p?\"M\"+f[0]+\",\"+d[1]+\"L\"+f[2]+\",\"+d[2]+\"H\"+f[3]+\"L\"+f[1]+\",\"+d[1]+\"Z\":\"M\"+f[1]+\",\"+d[1]+\"L\"+f[2]+\",\"+d[3]+\"V\"+d[2]+\"L\"+f[1]+\",\"+d[0]+\"Z\"),\"\"===v&&(v=\"M0,0Z\"),a.ensureSingle(n.select(this),\"path\").attr(\"d\",v).call(i.setClipUrl,e.layerClipId,t)}})}else f.remove()})}(t,e,r,u),function(t,e,r,o){var s=e.xaxis,l=e.yaxis;a.makeTraceGroups(o,r,\"trace bars\").each(function(r){var o=n.select(this),u=r[0].trace,h=a.ensureSingle(o,\"g\",\"lines\");if(u.connector&&u.connector.visible&&u.connector.line.width){var f=\"h\"===u.orientation,p=h.selectAll(\"g.line\").data(a.identity);p.enter().append(\"g\").classed(\"line\",!0),p.exit().remove();var d=p.size();p.each(function(r,o){if(o===d-1||r.cNext){var u=c(r,s,l,f),h=u[0],p=u[1],g=\"\";void 0!==h[3]&&void 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s=r||n.select(t).selectAll(\"g.funnellayer\").selectAll(\"g.trace\");l(t,s,\"funnel\"),s.style(\"opacity\",function(t){return t[0].trace.opacity}),s.each(function(e){var r=n.select(this),s=e[0].trace;r.selectAll(\".point > path\").each(function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(i.fill,t.mc||e.color).call(i.stroke,t.mlc||e.line.color).call(a.dashLine,e.line.dash,t.mlw||e.line.width).style(\"opacity\",s.selectedpoints&&!t.selected?o:1)}}),c(r,s,t),r.selectAll(\".regions\").each(function(){n.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(i.fill,s.connector.fillcolor)}),r.selectAll(\".lines\").each(function(){var t=s.connector.line;a.lineGroupStyle(n.select(this).selectAll(\"path\"),t.width,t.color,t.dash)})})}}},{\"../../components/color\":591,\"../../components/drawing\":612,\"../../constants/interactions\":692,\"../bar/style\":870,\"../bar/uniform_text\":872,d3:165}],991:[function(t,e,r){\"use strict\";var n=t(\"../pie/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,a,r,i)}var u=c(\"labels\"),h=c(\"values\"),f=s(u,h),p=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),v=c(\"texttemplate\");if(v||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),v||d&&\"none\"!==d){var m=c(\"textposition\");o(t,e,l,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}i(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1101}],997:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":717,\"./layout_attributes\":996}],998:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../lib\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"../bar/plot\").toMoveInsideBar,l=t(\"../bar/uniform_text\"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t(\"../pie/helpers\"),f=t(\"../pie/plot\"),p=f.attachFxHandlers,d=f.determineInsideTextFont,g=f.layoutAreas,v=f.prerenderTitles,m=f.positionTitleOutside,y=f.formatSliceLabel;function 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M=p[T+=1][0],A=p[T][1];f.TL=[-M,A],f.TR=[M,A],f.BL=w,f.BR=k,f.pxmid=(S=f.TR,E=f.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=f.TL,k=f.TR}var S,E}(e),l.each(function(){var l=n.select(this).selectAll(\"g.slice\").data(e);l.enter().append(\"g\").classed(\"slice\",!0),l.exit().remove(),l.each(function(l,g){if(l.hidden)n.select(this).selectAll(\"path,g\").remove();else{l.pointNumber=l.i,l.curveNumber=f.index;var v=u.cx,m=u.cy,b=n.select(this),_=b.selectAll(\"path.surface\").data([l]);_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),b.call(p,t,e);var w=\"M\"+(v+l.TR[0])+\",\"+(m+l.TR[1])+x(l.TR,l.BR)+x(l.BR,l.BL)+x(l.BL,l.TL)+\"Z\";_.attr(\"d\",w),y(t,l,u);var k=h.castOption(f.textposition,l.pts),T=b.selectAll(\"g.slicetext\").data(l.text&&\"none\"!==k?[0]:[]);T.enter().append(\"g\").classed(\"slicetext\",!0),T.exit().remove(),T.each(function(){var u=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),h=i.ensureUniformFontSize(t,d(f,l,r.font));u.text(l.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,h).call(o.convertToTspans,t);var p,y,x,b=a.bBox(u.node()),_=Math.min(l.BL[1],l.BR[1])+m,w=Math.max(l.TL[1],l.TR[1])+m;y=Math.max(l.TL[0],l.BL[0])+v,x=Math.min(l.TR[0],l.BR[0])+v,(p=s(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=h.size,c(f.type,p,r),e[g].transform=p,u.attr(\"transform\",i.getTextTransform(p))})}});var g=n.select(this).selectAll(\"g.titletext\").data(f.title.text?[0]:[]);g.enter().append(\"g\").classed(\"titletext\",!0),g.exit().remove(),g.each(function(){var e=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),s=f.title.text;f._meta&&(s=i.templateString(s,f._meta)),e.text(s).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,f.title.font).call(o.convertToTspans,t);var l=m(u,r._size);e.attr(\"transform\",\"translate(\"+l.x+\",\"+l.y+\")\"+(l.scale<1?\"scale(\"+l.scale+\")\":\"\")+\"translate(\"+l.tx+\",\"+l.ty+\")\")})})})}},{\"../../components/drawing\":612,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../bar/plot\":867,\"../bar/uniform_text\":872,\"../pie/helpers\":1099,\"../pie/plot\":1103,d3:165}],999:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../pie/style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(\".trace\");i(t,e,\"funnelarea\"),e.each(function(t){var 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=(t(\"../../constants/docs\").FORMAT_LINK,t(\"../../lib/extend\").extendFlat);e.exports=s({z:{valType:\"data_array\",editType:\"calc\"},x:s({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:s({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:s({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:s({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:s({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:s({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},zhoverformat:{valType:\"string\",dflt:\"\",editType:\"none\"},hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},{transforms:void 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n=t(\"d3\"),a=t(\"../../lib\"),i=a.rad2deg,o=t(\"../../constants/alignment\").MID_SHIFT,s=t(\"../../components/drawing\"),l=t(\"./constants\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../../plots/cartesian/axis_defaults\"),f=t(\"../../plots/cartesian/position_defaults\"),p=t(\"../../plots/cartesian/layout_attributes\"),d=t(\"../../components/color\"),g={left:\"start\",center:\"middle\",right:\"end\"},v={left:0,center:.5,right:1},m=/[yzafpn\\xb5mkMGTPEZY]/;function y(t){return t&&t.duration>0}function x(t){t.each(function(t){d.stroke(n.select(this),t.line.color)}).each(function(t){d.fill(n.select(this),t.color)}).style(\"stroke-width\",function(t){return t.line.width})}function b(t,e,r){var n=t._fullLayout,i=a.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),o={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return a.coerce(i,o,p,t,e)}return h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function k(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function T(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each(function(e){var h,M,A,S,E,L=e[0].trace,C=n.select(this),P=L._hasGauge,O=L._isAngular,z=L._isBullet,I=L.domain,D={w:p._size.w*(I.x[1]-I.x[0]),h:p._size.h*(I.y[1]-I.y[0]),l:p._size.l+p._size.w*I.x[0],r:p._size.r+p._size.w*(1-I.x[1]),t:p._size.t+p._size.h*(1-I.y[1]),b:p._size.b+p._size.h*I.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=L.align||\"center\";if(M=F,P){if(O&&(h=R,M=F+B/2,A=function(t){return e=t,r=.9*N,n=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),[r/n,e,r];var e,r,n}),z){var V=l.bulletPadding,U=1-l.bulletNumberDomainSize+V;h=D.l+(U+(1-U)*v[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-V)*D.w,D.h)}}}else h=D.l+v[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),L=[];f._hasNumber&&L.push(\"number\");f._hasDelta&&(L.push(\"delta\"),\"left\"===f.delta.position&&L.reverse());var C=E.selectAll(\"text\").data(L);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(m)||r(a).slice(-1).match(m))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,function(t){return parseInt(t)-1}),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}C.enter().append(\"text\"),C.attr(\"text-anchor\",function(){return M}).attr(\"class\",function(t){return t}).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),C.exit().remove();var O,z=f.mode+f.align;f._hasDelta&&(O=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){var e=f.delta.relative?t.relativeDelta:t.delta;return e},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}}).each(\"end\",function(){g(),S&&S()}).each(\"interrupt\",function(){g(),S&&S()}):g();return l=k(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",function(){p(),S&&S()}).each(\"interrupt\",function(){p(),S&&S()}).attrTween(\"text\",function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}}):p();o=k(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var I,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(I=T(f,\"deltaPos\",0,-1*(o.width*v[f.align]+l.width*(1-v[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+I,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(I=T(f,\"deltaPos\",0,o.width*(1-v[f.align])+l.width*v[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+I,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(I=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(I=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),O.attr({dx:I,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",function(){var t=i.numbersScaler(h);z+=t[2];var e,r=T(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=T(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"})}(t,C,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},E={range:L.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var q=C.selectAll(\"g.angular\").data(O?e:[]);q.exit().remove();var H=C.selectAll(\"g.angularaxis\").data(O?e:[]);H.exit().remove(),O&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,v=a.gaugeBg,m=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],k=a.gauge,T=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=f.gauge.axis.range[1],n=(t-e)/(r-e)*Math.PI-S;return n<-S?-S:n>S?S:n}function L(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function C(t){t.attr(\"d\",function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()})}k.enter().append(\"g\").classed(\"angular\",!0),k.attr(\"transform\",_(w[0],w[1])),T.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),T.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},O={},z=u.makeLabelFns(s,0).labelStandoff;O.xFn=function(t){var e=P(t);return Math.cos(e)*z},O.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},O.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var I=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return I(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:T,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return I(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:T,transFn:c,labelFns:O})}var R=[v].concat(f.gauge.steps),F=k.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(C).call(x),F.exit().remove();var B=L(f.gauge.bar.thickness),N=k.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",function(){A&&A()}).each(\"interrupt\",function(){A&&A()}).attrTween(\"d\",(V=B,U=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(U,q);return function(e){return V.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var V,U,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=k.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(C).call(x),G.exit().remove();var Y=k.selectAll(\"g.gauge-outline\").data([m]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(C).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=C.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=C.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,v=n.gaugeOutline,m=n.size,_=h.domain,w=n.transitionOpts,k=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+m.l+\", \"+m.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var T=m.h,M=h.gauge.bar.thickness*T,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=m.t+m.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))}).attr(\"x\",function(t){return a.c2p(t.range[0])}).attr(\"y\",function(t){return.5*(1-t.thickness)*T}).attr(\"height\",function(t){return t.thickness*T})}var L=[g].concat(h.gauge.steps),C=f.selectAll(\"g.bg-bullet\").data(L);C.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),C.select(\"rect\").call(E).call(x),C.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(T-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",function(){k&&k()}).each(\"interrupt\",function(){k&&k()}).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var O=r.filter(function(){return h.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\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*T).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*T).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var I=f.selectAll(\"g.gauge-outline\").data([v]);I.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),I.select(\"rect\").call(E).call(x),I.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=C.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",function(){return 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r=\"slices.\"+t;i(r+\".show\")&&(i(r+\".fill\"),i(r+\".locations\"))}),i(\"spaceframe.show\")&&i(\"spaceframe.fill\"),i(\"surface.show\")&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\")),i(\"contour.show\")&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(t){i(t)}),o(t,e,n,i,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,a){s(t,e,0,a,function(r,a){return n.coerce(t,e,i,r,a)})},supplyIsoDefaults:s}},{\"../../components/colorscale/defaults\":601,\"../../lib\":717,\"../../registry\":846,\"./attributes\":1056}],1060:[function(t,e,r){\"use 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":599}],1063:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),a=t(\"delaunay-triangulate\"),i=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var f=h.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var a=[],i=e.length,o=0;o<i;o++)a[o]=t.d2l(e[o],0,n)*r;return a}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function v(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,h=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!v(t.i,h)||!v(t.j,h)||!v(t.k,h))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(f):t.alphahull>0?i(t.alphahull,f):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],i=e.length,o=0;o<i;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return a(n)}(t.delaunayaxis,f);var m={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;m[x+\"Intensity\"]=t.intensity,m[x+\"IntensityBounds\"]=[y.min,y.max],m.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],m.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],m.cellColors=p(t.facecolor)):(this.color=t.color,m.meshColor=l(t.color));this.mesh.update(m)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new 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n=t(\"../../lib\"),a=n._,i=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM;function s(t,e,r,n){return{o:t,h:e,l:r,c:n}}function l(t,e,r,s,l){for(var c=s.makeCalcdata(e,\"open\"),u=s.makeCalcdata(e,\"high\"),h=s.makeCalcdata(e,\"low\"),f=s.makeCalcdata(e,\"close\"),p=Array.isArray(e.text),d=Array.isArray(e.hovertext),g=!0,v=null,m=[],y=0;y<r.length;y++){var x=r[y],b=c[y],_=u[y],w=h[y],k=f[y];if(x!==o&&b!==o&&_!==o&&w!==o&&k!==o){k===b?null!==v&&k!==v&&(g=k>v):g=k>b,v=k;var T=l(b,_,w,k);T.pos=x,T.yc=(b+k)/2,T.i=y,T.dir=g?\"increasing\":\"decreasing\",T.x=T.pos,T.y=[w,_],p&&(T.tx=e.text[y]),d&&(T.htx=e.hovertext[y]),m.push(T)}else m.push({pos:x,empty:!0})}return e._extremes[s._id]=i.findExtremes(s,n.concat(h,u),{padded:!0}),m.length&&(m[0].t={labels:{open:a(t,\"open:\")+\" \",high:a(t,\"high:\")+\" \",low:a(t,\"low:\")+\" \",close:a(t,\"close:\")+\" \"}}),m}e.exports={calc:function(t,e){var r=i.getFromId(t,e.xaxis),a=i.getFromId(t,e.yaxis),o=function(t,e,r){var 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g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function m(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(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 b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function T(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each(function(t){k(t).each(function(t){Array.prototype.push.apply(l,v(t))})});var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=k(a),l=[];s.each(function(t){Array.prototype.push.apply(l,v(t))});var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},v=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&v.push([\"Count:\",g.countLabel].join(\" 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n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){r.push(A(t,this))}),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):T(this,\"plotly_unhover\",n.event)}}function L(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],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function C(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}F(t.parcatsViewModel),R(t.parcatsViewModel),I(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(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 a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].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}),h=c.map(function(t){return t.categoryLabel});e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):T(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,F(t.parcatsViewModel),R(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each(function(){I(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)}).each(\"end\",function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function 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e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)});var i=a.selectAll(\"rect.bandrect\").data(function(t){return t.bands},h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(t){return t.color}).attr(\"fill-opacity\",0);i.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}),w(s),i.each(function(){o.raiseToTop(this)}),i.exit().remove()}function D(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));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,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 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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 v,m=c[g];v=p>0?d*(m.count/p):0;for(var y,x=new Array(n.length),b=0;b<m.categoryInds.length;b++){var _=m.categoryInds[b],w=a[b][_],k=i[b];x[k]=n[k][w],n[k][w]+=v;var T=t.dimensions[k].categories[w],M=T.bands.length,A=T.bands[M-1];if(void 0===A||m.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;T.bands.push({key:S,color:m.color,rawColor:m.rawColor,height:v,width:T.width,count:m.count,y:S,categoryViewModel:T,parcatsViewModel:t})}else{var E=T.bands[M-1];E.height+=v,E.count+=m.count}}y=\"hspline\"===t.pathShape?D(s,x,l,v,.5):D(s,x,l,v,0),f[g]={key:m.valueInds[0],model:m,height:v,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function F(t){var e=t.model.dimensions.map(function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}});e.sort(function(t,e){return t.displayInd-e.displayInd});var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(B(t,i))}t.dimensions=r}function B(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,v=e.categories.map(function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}});for(v.sort(function(t,e){return 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=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:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plot_api/plot_template\":755,\"../../plots/cartesian/layout_attributes\":777,\"../../plots/domain\":790,\"../../plots/font_attributes\":791}],1083:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(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 a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=v(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function v(t,e){return t.map(function(t){return t.map(function(t){return Math.max(0,t*e)}).sort(s)})}function m(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=v(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[i],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<m.length;r++){var x=[.25*m[Math.max(r-1,0)]+.75*m[r],.25*m[Math.min(r+1,m.length-1)]+.75*m[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.brush.svgBrush;i.wasDragged=!0,i._dragging=!0,i.grabbingBar?i.newExtent=[r-i.grabPoint,r+i.barLength-i.grabPoint].map(e.unitToPaddedPx.invert):i.newExtent=[i.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,i.extent=i.stayingIntervals.concat([i.newExtent]),i.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-a.mouse(t)[1]-2*n.verticalPadding),i=\"crosshair\";r.clickableOrdinalRange?i=\"pointer\":r.region&&(i=r.region+\"-resize\"),a.select(document.body).style(\"cursor\",i)}function k(t){t.on(\"mousemove\",function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||m()}).call(a.behavior.drag().on(\"dragstart\",function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(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]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)}).on(\"drag\",function(t){_(this,t)}).on(\"dragend\",function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.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(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)}))}function T(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map(function(t){return t.slice().sort(s)}).sort(T)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(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=a,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:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(k).attr(\"height\",function(t){return t.height-n.verticalPadding});var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",function(t){return t.height}).call(y);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(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map(function(t){return t.sort(s)}),t=e.multiselect?A(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map(function(t){var e=[f(0,r,t[0],[]),f(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\":717,\"../../lib/gup\":715,\"./constants\":1086,d3:165}],1084:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter(function(t,e){return e===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each(function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})}),window.setTimeout(function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")},60)}},{\"../../constants/xmlns_namespaces\":694,\"../../plots/get_data\":800,\"./plot\":1093,d3:165}],1085:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.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]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":603,\"../../lib\":717,\"../../lib/gup\":715}],1086:[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,strokeColor:\"white\",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\"}}},{}],1087:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=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\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),v=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",v);var m={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",m),n.coerceFont(u,\"tickfont\",m),n.coerceFont(u,\"rangefont\",m),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":601,\"../../components/colorscale/helpers\":602,\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"../../plots/cartesian/axes\":765,\"../../plots/domain\":790,\"./attributes\":1082,\"./axisbrush\":1083,\"./constants\":1086,\"./merge_length\":1091}],1088:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":717}],1089:[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\":1082,\"./base_plot\":1084,\"./calc\":1085,\"./defaults\":1087,\"./plot\":1093}],1090:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=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=1e-6,c=2048,u=new Uint8Array(4),h=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function p(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function d(t,e,r,n,a,i){var 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n=e.indexOf(r),a=t.indexOf(n);return-1===a&&(a+=e.length),a}e.exports=function(t,e){var r=t._fullLayout;if(a(t)){var s={},l={},c={},u={},h=r._size;e.forEach(function(e,r){var n=e[0].trace;c[r]=n.index;var a=u[r]=n._fullInput.index;s[r]=t.data[a].dimensions,l[r]=t.data[a].dimensions.slice()});n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,a){var i=l[e][n],o=a.map(function(t){return t.slice()}),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=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=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),v=0,m=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(v+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(m=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(v+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?m:e.sort)&&i.sort(function(t,e){return e.v-t.v}),i[0]&&(i[0].vTotal=v),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":591,\"fast-isnumeric\":228,tinycolor2:535}],1097:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){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:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){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 v=c(\"hole\");if(c(\"title.text\")){var m=c(\"title.position\",v?\"middle center\":\"top center\");v||\"middle center\"!==m||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":717,\"../../plots/domain\":790,\"../bar/defaults\":860,\"./attributes\":1094,\"fast-isnumeric\":228}],1098:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":626}],1099:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),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}},{\"../../lib\":717}],1100:[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\":1094,\"./base_plot\":1095,\"./calc\":1096,\"./defaults\":1097,\"./layout_attributes\":1101,\"./layout_defaults\":1102,\"./plot\":1103,\"./style\":1104,\"./style_one\":1105}],1101:[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\"}}},{}],1102:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":717,\"./layout_attributes\":1101}],1103:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),v=t(\"../../lib\").isValidTextValue;function m(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),v=c+t.pxmid[1]*(1-f),m=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:v,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}}),t.on(\"mouseout\",function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)}),t.on(\"click\",function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))})}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,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,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var v,m=function(r,a){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;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(v=4;v>=-4;v-=2)m(Math.PI*v,\"tan\");for(v=4;v>=-4;v-=2)m(Math.PI*(v+1),\"tan\")}if(h||p){for(v=4;v>=-4;v-=2)m(Math.PI*(v+1.5),\"rad\");for(v=4;v>=-4;v-=2)m(Math.PI*(v+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,k=0;k<g.length;k++){var T=g[k].scale;if(b<T&&(b=T,x=k),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:k(i,o/e),rotate:T(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:k(i,o/e),rotate:T(a+Math.PI/2)}}function k(t,e){return Math.cos(e)-t*e}function T(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=C(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=L(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function L(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 C(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 P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=L(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+C(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=L(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);v(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,m)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(v(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function I(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each(function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.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=O(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(i,s),r.midangle=s,s+=l*r.v/2,n=O(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each(function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var v=[[[],[]],[[],[]]],x=!1;g.each(function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,v[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(m,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var k=p.hole;if(a.v===f.vTotal){var T=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+C(a.px0,a.pxmid,!0,1)+C(a.pxmid,a.px0,!0,1)+\"Z\";k?_.attr(\"d\",\"M\"+(o+k*a.px0[0])+\",\"+(u+k*a.px0[1])+C(a.px0,a.pxmid,!1,k)+C(a.pxmid,a.px0,!1,k)+\"Z\"+T):_.attr(\"d\",T)}else{var M=C(a.px0,a.px1,!0,1);if(k){var A=1-k;_.attr(\"d\",\"M\"+(o+k*a.px1[0])+\",\"+(u+k*a.px1[1])+C(a.px1,a.px0,!1,k)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),L=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each(function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),v=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v).call(c.convertToTspans,t);var m,_=s.bBox(g.node());if(\"outside\"===E)m=S(_,a);else if(m=b(_,a,f),\"auto\"===E&&m.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),m=S(_=s.bBox(g.node()),a)}var k=m.textPosAngle,T=void 0===k?a.pxmid:O(f.r,k);if(m.targetX=o+T[0]*m.rCenter+(m.x||0),m.targetY=u+T[1]*m.rCenter+(m.y||0),I(m,_),m.outside){var M=m.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}m.fontSize=v.size,h(p.type,m,r),e[i].transform=m,g.attr(\"transform\",l.getTextTransform(m))})}function C(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}});var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each(function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.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}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")}),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p,g,v=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,x=t.cyFinal+o(t.px0[1],t.px1[1]),b=v-m;if(b*l>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(f=u.cyFinal+o(u.px0[1],u.px1[1]),(b=f-m-t.labelExtraY)*l>0&&(t.labelExtraY+=b)):(y+t.labelExtraY-x)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),p=u.cxFinal+i(u.px0[0],u.px1[0]),(g=p+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=g)))}for(n=0;n<2;n++)for(a=n?v:m,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(v,p),function(t,e){t.each(function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=t.cyFinal+t.pxmid[1],c=\"M\"+i+\",\"+s,u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var h=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(h)>Math.abs(f)?c+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(i+t.labelExtraX+u):c+=\"l\"+t.labelExtraX+\",\"+h+\"v\"+(f-h)+\"h\"+u}else c+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:c,fill:\"none\"})}else r.select(\"path.textline\").remove()})}(g,p),x&&p.automargin){var w=s.bBox(u.node()),k=p.domain,T=i.w*(k.x[1]-k.x[0]),M=i.h*(k.y[1]-k.y[0]),A=(.5*T-f.r)/i.w,L=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:k.x[0]-A,xr:k.x[1]+A,yb:k.y[0]-L,yt:k.y[1]+L,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}})});setTimeout(function(){u.selectAll(\"tspan\").each(function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))})},0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:m,computeTransform:I}},{\"../../components/color\":591,\"../../components/drawing\":612,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plots/plots\":826,\"../bar/constants\":858,\"../bar/uniform_text\":872,\"./event_data\":1098,\"./helpers\":1099,d3:165}],1104:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(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(a,t,e)})})}},{\"../bar/uniform_text\":872,\"./style_one\":1105,d3:165}],1105:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":591,\"./helpers\":1099}],1106:[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\":1120}],1107:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=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,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),i=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,h=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=f({hoverinfo:h({},a.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\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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f={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:f,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[f],yaxes:[p],doneFnCompleted:function(r){var n,a=t._fullData[e],i=a.node.groups.slice(),o=[];function s(t){for(var e=a._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);i[c.pointNumber-a.node._count]=!1}else o.push(c.pointNumber)}n=i.filter(Boolean).concat([o]),h.call(\"_guiRestyle\",t,{\"node.groups\":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,a)}};l.init(d)}}r.name=\"sankey\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=a(t.calcdata,\"sankey\")[0];i(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"sankey\"),i=e._has&&e._has(\"sankey\");a&&!i&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)f(t,e)}},{\"../../components/dragelement\":609,\"../../components/fx/layout_attributes\":631,\"../../lib\":717,\"../../lib/setcursor\":737,\"../../plot_api/edit_types\":748,\"../../plots/cartesian/select\":782,\"../../plots/get_data\":800,\"../../registry\":846,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"strongly-connected-components\"),a=t(\"../../lib\"),i=t(\"../../lib/gup\").wrap,o=a.isArrayOrTypedArray,s=a.isIndex,l=t(\"../../components/colorscale\");function c(t){var e,r=t.node,i=t.link,c=[],u=o(i.color),h=o(i.customdata),f={},p={},d=i.colorscales.length;for(e=0;e<d;e++){var g=i.colorscales[e],v=l.extractScale(g,{cLetter:\"c\"}),m=l.makeColorScaleFunc(v);p[g.label]=m}var y=0;for(e=0;e<i.value.length;e++)i.source[e]>y&&(y=i.source[e]),i.target[e]>y&&(y=i.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var k=_[e];for(x=0;x<k.length;x++){var T=k[x],M=b+e;w.hasOwnProperty(T)?a.warn(\"Node \"+T+\" is already part of a group.\"):w[T]=M}}var A={source:[],target:[]};for(e=0;e<i.value.length;e++){var S=i.value[e],E=i.source[e],L=i.target[e];if(S>0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,f[E=+E]=f[L]=!0;var C=\"\";i.label&&i.label[e]&&(C=i.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?i.color[e]:i.color,customdata:h?i.customdata[e]:i.customdata,concentrationscale:P,source:E,target:L,value:+S}),A.source.push(E),A.target.push(L)}}var O=b+_.length,z=o(r.color),I=o(r.customdata),D=[];for(e=0;e<O;e++)if(f[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:z?r.color[e]:r.color,customdata:I?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var i=a.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(a.isIndex(e[o],t)&&a.isIndex(r[o],t)){if(e[o]===r[o])return!0;i[e[o]].push(r[o])}return n(i).components.some(function(t){return t.length>1})}(O,A.source,A.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return i({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":603,\"../../lib\":717,\"../../lib/gup\":715,\"strongly-connected-components\":528}],1113:[function(t,e,r){\"use 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y=i.loneHover({x0:d,x1:g,y:v,name:n.format(a.valueFormat)(a.node.value)+a.valueSuffix,text:[a.node.label,T+a.node.targetLinks.length,M+a.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||a.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[a.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(y,.85),p(y)}}},unhover:function(e,a,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,a,o),\"skip\"!==a.node.trace.node.hoverinfo&&(a.node.fullData=a.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[a.node]})),i.loneUnhover(r._hoverlayer.node()))},select:function(e,r,a){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(m,r,a),i.click(t,{target:!0})}}})}},{\"../../components/color\":591,\"../../components/fx\":630,\"../../lib\":717,\"./constants\":1113,\"./render\":1117,d3:165}],1117:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"tinycolor2\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"@plotly/d3-sankey\"),c=t(\"@plotly/d3-sankey-circular\"),u=t(\"d3-force\"),h=t(\"../../lib\"),f=t(\"../../lib/gup\"),p=f.keyFun,d=f.repeat,g=f.unwrap,v=t(\"d3-interpolate\").interpolateNumber,m=t(\"../../registry\");function y(){var t=.5;return function(e){if(e.link.circular)return r=e.link,n=r.width/2,a=r.circularPathData,\"top\"===r.circularLinkType?\"M \"+a.targetX+\" \"+(a.targetY+n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 1 \"+(a.rightFullExtent-n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 1 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 0 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 0 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"L\"+a.targetX+\" \"+(a.targetY-n)+\"Z\":\"M \"+a.targetX+\" \"+(a.targetY-n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 0 \"+(a.rightFullExtent-n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 0 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 1 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 1 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"L\"+a.targetX+\" \"+(a.targetY+n)+\"Z\";var r,n,a,i=e.link.source.x1,o=e.link.target.x0,s=v(i,o),l=s(t),c=s(1-t),u=e.link.y0-e.link.width/2,h=e.link.y0+e.link.width/2,f=e.link.y1-e.link.width/2,p=e.link.y1+e.link.width/2;return\"M\"+i+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+f+\" \"+o+\",\"+f+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"Z\"}}function x(t){t.attr(\"transform\",function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"})}function b(t){t.call(x)}function _(t,e){t.call(b),e.attr(\"d\",y())}function w(t){t.attr(\"width\",function(t){return t.node.x1-t.node.x0}).attr(\"height\",function(t){return t.visibleHeight})}function k(t){return t.link.width>1||t.linkLineWidth>0}function T(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function M(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function 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P(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 O(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,I(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,a){!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 i=r.graph.nodes.filter(function(t){return t.originalX===r.node.originalX}).filter(function(t){return!t.partOfGroup});r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius(function(t){return t.dy/2+r.nodePad/2}).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame(function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();var l=r.graph.nodes;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}(l),r.sankey.update(r.graph),_(t.filter(D(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var 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i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}m.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then(function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()})}function I(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function D(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,u,f){var v=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",function(){v=!0});var m=t._fullLayout._dragCover,b=r.filter(function(t){return g(t).trace.visible}).map(function(t,e,r){var a,o=g(e),s=o.trace,u=s.domain,f=\"h\"===s.orientation,p=s.node.pad,d=s.node.thickness,v=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),y=o._nodes,x=o._links,b=o.circular;(a=b?c.sankeyCircular().circularLinkGap(0):l.sankey()).iterations(n.sankeyIterations).size(f?[v,m]:[m,v]).nodeWidth(d).nodePadding(p).nodeId(function(t){return t.pointNumber}).nodes(y).links(x);var _,w,k,T=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<T.nodes.length;_++)if(T.nodes[_].pointNumber===S){A=T.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};T.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<T.nodes.length;_++){var t,e,r=T.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 a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(k=0;k<o.length;k++)l[(e=o[k]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(k=0;k<o.length;k++)(e=o[k]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;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}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,T.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var L=[s.node.x[_]*v,s.node.y[_]*m];T.nodes[_].x0=L[0]-d/2,T.nodes[_].x1=L[0]+d/2;var C=T.nodes[_].y1-T.nodes[_].y0;T.nodes[_].y0=L[1]-C/2,T.nodes[_].y1=L[1]+C/2}\"snap\"===s.arrangement&&function(t){t.forEach(function(t){var e,r,n,a=0,i=t.length;for(t.sort(function(t,e){return t.y0-e.y0}),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=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}),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=T.nodes)),a.update(T)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:v,height:m,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:v,dragPerpendicular:f?v:m,arrangement:s.arrangement,sankey:a,graph:T,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}.bind(null,u)),_=e.selectAll(\".\"+n.cn.sankey).data(b,p);_.exit().remove(),_.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",T),_.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})}),_.transition().ease(n.ease).duration(n.duration).attr(\"transform\",T);var z=_.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);z.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var I=z.selectAll(\".\"+n.cn.sankeyLink).data(function(t){return t.graph.links.filter(function(t){return t.value}).map(function(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:y,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}.bind(null,t))},p);I.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(P,_,f.linkEvents),I.style(\"stroke\",function(t){return k(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return k(t)?o.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 k(t)?t.linkLineWidth:1}).attr(\"d\",y()),I.style(\"opacity\",function(){return 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c=e._length,u=t._fullLayout,h=r._id,f=n._id,p=u._firstScatter[d(e)]===e.uid,v=(g(e,u,r,n)||{}).orientation,m=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},x={padded:!0};l&&(y.ppad=x.ppad=l);var b=c<2||a[0]!==a[c-1]||o[0]!==o[c-1];b&&(\"tozerox\"===m||\"tonextx\"===m&&(p||\"h\"===v))?y.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==m&&\"tozeroy\"!==m&&(s.hasMarkers(e)||s.hasText(e))||(y.padded=!1,y.ppad=0),b&&(\"tozeroy\"===m||\"tonexty\"===m&&(p||\"v\"===v))?x.tozero=!0:\"tonextx\"!==m&&\"tozerox\"!==m||(x.padded=!1),h&&(e._extremes[h]=i.findExtremes(r,a,y)),f&&(e._extremes[f]=i.findExtremes(n,o,x))}function f(t,e){if(s.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},a.isArrayOrTypedArray(n.size)){var l={type:\"linear\"};i.setConvert(l);for(var c=l.makeCalcdata(t.marker,\"size\"),u=new Array(e),h=0;h<e;h++)u[h]=r(c[h]);return u}return r(n.size)}}function p(t,e){var r=d(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function d(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var a=t.stackgroup;if(a){var i=e._scatterStackOpts[r._id+n._id][a],o=\"v\"===i.orientation?n:r;return\"linear\"===o.type||\"log\"===o.type?i:void 0}}e.exports={calc:function(t,e){var r,s,d,v,m,y,x=t._fullLayout,b=i.getFromId(t,e.xaxis||\"x\"),_=i.getFromId(t,e.yaxis||\"y\"),w=b.makeCalcdata(e,\"x\"),k=_.makeCalcdata(e,\"y\"),T=e._length,M=new Array(T),A=e.ids,S=g(e,x,b,_),E=!1;p(x,e);var L,C=\"x\",P=\"y\";for(S?(a.pushUnique(S.traceIndices,e._expandedIndex),(r=\"v\"===S.orientation)?(P=\"s\",L=\"x\"):(C=\"s\",L=\"y\"),m=\"interpolate\"===S.stackgaps):h(t,e,b,_,w,k,f(e,T)),s=0;s<T;s++){var 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n=t(\"../../lib\");e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&&n.tagSelected(t,e)}},{\"../../lib\":717}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/calc\"),i=t(\"./subtypes\");e.exports=function(t,e){i.hasLines(e)&&n(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),i.hasMarkers(e)&&(n(e,\"marker\")&&a(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&a(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},{\"../../components/colorscale/calc\":599,\"../../components/colorscale/helpers\":602,\"./subtypes\":1144}],1124:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],1125:[function(t,e,r){\"use strict\";var n=t(\"./calc\");function a(t,e,r,n,a,i,o){a[n]=!0;var 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=a(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=a(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=i(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,a=(r+1)%3,i=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[a])&&isFinite(c[a])&&!isNaN(c[i])&&isFinite(c[i])&&(o.push([c[a],c[i]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new m(t,e.uid);return r.update(e),r}},{\"../../components/fx/helpers\":626,\"../../constants/gl3d_dashes\":690,\"../../constants/gl3d_markers\":691,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../lib/str2rgbarray\":740,\"../../plots/cartesian/axes\":765,\"../scatter/make_bubble_size_func\":1137,\"./calc_errors\":1149,\"delaunay-triangulate\":167,\"gl-error3d\":250,\"gl-line3d\":258,\"gl-mesh3d\":283,\"gl-scatter3d\":300}],1151:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,n){return a.coerce(t,e,c,r,n)}if(function(t,e,r,a){var i=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],a),o&&s&&l&&(i=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=i);return i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var v=\"projection.\"+d[g];h(v+\".show\")&&(h(v+\".opacity\"),h(v+\".scale\"))}var m=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");m(t,e,f||p||r,{axis:\"z\"}),m(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),m(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1147}],1152:[function(t,e,r){\"use strict\";e.exports={plot:t(\"./convert\"),attributes:t(\"./attributes\"),markerSymbols:t(\"../../constants/gl3d_markers\"),supplyDefaults:t(\"./defaults\"),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:t(\"./calc\"),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../constants/gl3d_markers\":691,\"../../plots/gl3d\":805,\"./attributes\":1147,\"./calc\":1148,\"./convert\":1150,\"./defaults\":1151}],1153:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841,\"../scatter/attributes\":1120}],1154:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=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\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),v=Math.min(d.length,g.length);if(v){e._length=v,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",v<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var m=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),m.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||m.push(\"fills\"),\"fills\"!==p(\"hoveron\",m.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":717,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/line_shape_defaults\":1135,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1153}],1156:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1157:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1158:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),a=t(\"../../lib\").fillText;e.exports=function(t,e,r,i){var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(f,p);s.yLabel=g.yLabel,delete s.text;var v=[];if(!p.hovertemplate){var m=(f.hi||p.hoverinfo).split(\"+\");-1!==m.indexOf(\"all\")&&(m=[\"a\",\"b\",\"text\"]),-1!==m.indexOf(\"a\")&&y(d.aaxis,f.a),-1!==m.indexOf(\"b\")&&y(d.baxis,f.b),v.push(\"y: \"+s.yLabel),-1!==m.indexOf(\"text\")&&a(f,p,v),s.extraText=v.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,v.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":717,\"../scatter/hover\":1131}],1159:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":776,\"../scatter/marker_colorbar\":1138,\"../scatter/select\":1141,\"../scatter/style\":1143,\"./attributes\":1153,\"./calc\":1154,\"./defaults\":1155,\"./event_data\":1156,\"./format_labels\":1157,\"./hover\":1158,\"./plot\":1160}],1160:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":612,\"../../plots/cartesian/axes\":765,\"../scatter/plot\":1140}],1161:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=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,h=i.marker,f=i.line,p=h.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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a={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(a.textfont,r.textfont),n=y(t,a)}return n}function w(t,e){var r={capSize:2*e.width,lineWidth:e.thickness,color:e.color};return e.copy_ystyle&&(r=t.error_y),r}var k=d.SYMBOL_SDF_SIZE,T=d.SYMBOL_SIZE,M=d.SYMBOL_STROKE,A={},S=l.symbolFuncs[0](.05*T);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),i=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return A[t]?A[t]:(e=c&&!o?i(1.1*T)+S:i(T),r=a(e,{w:k,h:k,viewBox:[-T,-T,T,T],stroke:s?M:-M}),A[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0};if(!0!==e.visible)return n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.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(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS?\"rect\":h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,v=0,m=0;v<h;v++,m+=4){var y=t[v];if(n(y)){var x=r[2*v+c],b=l(y,v),_=b[0],w=b[1];if(n(_)&&n(w)){var k=y-_,T=y+w;p[m+u[0]]=x-a.c2l(k),p[m+u[1]]=a.c2l(T)-x,p[m+u[2]]=0,p[m+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=v[p],m=v[d],y=u?u/.8+1:0,x=-m*y-.5*m;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":612,\"../../components/fx/helpers\":626,\"../../constants/interactions\":692,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../plots/cartesian/axis_ids\":768,\"../../registry\":846,\"../scatter/make_bubble_size_func\":1137,\"../scatter/subtypes\":1144,\"./constants\":1173,\"./helpers\":1178,\"color-normalize\":122,\"fast-isnumeric\":228,\"svg-path-sdf\":533}],1175:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var v=!!t.marker&&i.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",v||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"../scatter/xy_defaults\":1146,\"./attributes\":1171,\"./helpers\":1178}],1176:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=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,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},v=n.extendFlat({},p);if(h.length||f.length){var m=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(v.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],v.color[r]=m||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;v.color[r]=y||(m?_:a.addOpacity(_,i))}}c.glText[u].update(v)}}},{\"../../components/color\":591,\"../../constants/interactions\":692,\"../../lib\":717}],1177:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1129}],1178:[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\":1173}],1179:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var v=d&&d.gradient;v&&\"none\"!==v.type&&(f.mgt=Array.isArray(v.type)?v.type[h]:v.type,f.mgc=Array.isArray(v.color)?v.color[h]:v.color);var m=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var k={};k[t.index]=f;var T=a.extendFlat({},t,{color:i(o,f),x0:m-x,x1:m+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:k,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?T.text=f.htx:f.tx?T.text=f.tx:o.text&&(T.text=o.text),a.fillText(f,o,T),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,T),T}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,v=d[0].trace,m=t.xa,y=t.ya,x=g.x,b=g.y,_=m.c2p(e),w=y.c2p(r),k=t.distance;if(g.tree){var T=m.p2c(_-k),M=m.p2c(_+k),A=y.p2c(w-k),S=y.p2c(w+k);a=\"x\"===n?g.tree.range(Math.min(T,M),Math.min(y._rl[0],y._rl[1]),Math.max(T,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(T,M),Math.min(A,S),Math.max(T,M),Math.max(A,S))}else a=g.ids;var E=k;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(m.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=m.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,v)]},calcHover:o}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/get_trace_color\":1130}],1180:[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\":776,\"../scatter/cross_trace_defaults\":1126,\"../scatter/marker_colorbar\":1138,\"./attributes\":1171,\"./calc\":1172,\"./defaults\":1175,\"./format_labels\":1177,\"./hover\":1179,\"./plot\":1181,\"./select\":1183}],1181:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../lib/prepare_regl\"),c=t(\"../scatter/subtypes\"),u=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function f(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var p,d,g=t._fullLayout,v=e._scene,m=e.xaxis,y=e.yaxis;if(v)if(l(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var x=v.count,b=g._glcanvas.data()[0].regl;if(u(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(b)),!0===v.line2d&&(v.line2d=a(b)),!0===v.scatter2d&&(v.scatter2d=n(b)),!0===v.fill2d&&(v.fill2d=a(b)),!0===v.glText)for(v.glText=new Array(x),p=0;p<x;p++)v.glText[p]=new o(b);if(v.glText){if(x>v.glText.length){var _=x-v.glText.length;for(p=0;p<_;p++)v.glText.push(new o(b))}else if(x<v.glText.length){var w=v.glText.length-x;v.glText.splice(x,w).forEach(function(t){t.destroy()})}for(p=0;p<x;p++)v.glText[p].update(v.textOptions[p])}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,x),v.fill2d&&(v.fillOptions=v.fillOptions.map(function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,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 h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+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 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t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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i;var p=n.hasText(o),d=n.hasMarkers(o),g=!d&&!p;if(!0!==o.visible||g)return i;var v=[],m=[];if(!1!==e&&!e.degenerate)for(var y=0;y<l;y++)e.contains([s.xpx[y],s.ypx[y]],!1,y,t)?(v.push(y),i.push({pointNumber:y,x:c[y],y:u[y]})):m.push(y);if(d){var x=h.scatter2d;if(v.length||m.length){if(!h.selectBatch[f].length&&!h.unselectBatch[f].length){var b=new Array(h.count);b[f]=h.markerUnselectedOptions[f],x.update.apply(x,b)}}else{var _=new Array(h.count);_[f]=h.markerOptions[f],x.update.apply(x,_)}}return h.selectBatch[f]=v,h.unselectBatch[f]=m,p&&a(r),i}},{\"../scatter/subtypes\":1144,\"./edit_style\":1176}],1184:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/mapbox/layout_attributes\":822,\"../../plots/template_attributes\":841,\"../scatter/attributes\":1120,\"../scattergeo/attributes\":1161}],1185:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),h=t(\"../../plots/mapbox/convert_text_opts\"),f=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function v(t){return a.isArrayOrTypedArray(t)?function(t){return t}:t?function(){return t}:m}function m(){return\"\"}function y(t){return t[0]===i}e.exports=function(t,e){var r,i=e[0].trace,x=!0===i.visible&&0!==i._length,b=\"none\"!==i.fill,_=u.hasLines(i),w=u.hasMarkers(i),k=u.hasText(i),T=w&&\"circle\"===i.marker.symbol,M=w&&\"circle\"!==i.marker.symbol,A=g(),S=g(),E=g(),L=g(),C={fill:A,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility=\"visible\",a.extendFlat(A.paint,{\"fill-color\":i.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",a.extendFlat(S.paint,{\"line-width\":i.line.width,\"line-color\":i.line.color,\"line-opacity\":i.opacity})),T){var P=function(t){var e,r,i,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=a.isArrayOrTypedArray(h.color),d=a.isArrayOrTypedArray(h.size),g=a.isArrayOrTypedArray(h.opacity);function v(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):a.identity);d&&(i=c(u));g&&(o=function(t){var e=n(t)?+a.constrain(t,0,1):0;return v(e)});var m,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),i&&(w.mrc=b.mrc=i(b.ms)),o&&(w.mo=o(b.mo)),f&&(w.selected=b.selected||0),x.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_},properties:w})}}if(f)for(m=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var k=x[e].properties;m.selectedOpacityFn&&(k.mo=v(m.selectedOpacityFn(k))),m.selectedColorFn&&(k.mcc=m.selectedColorFn(k)),m.selectedSizeFn&&(k.mrc=m.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||m&&m.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||m&&m.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(T=h.size,T/2),mo:g||m&&m.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:v(h.opacity)};var T}(e);E.geojson=P.geojson,E.layout.visibility=\"visible\",a.extendFlat(E.paint,{\"circle-color\":P.mcc,\"circle-radius\":P.mrc,\"circle-opacity\":P.mo})}if((M||k)&&(L.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,i=(n.marker||{}).symbol,o=\"circle\"!==i?v(i):m,s=u.hasText(n)?v(n.text):m,l=[],c=0;c<t.length;c++){var h=t[c];if(!y(h.lonlat)){var g,x=n.texttemplate;if(x){var b=Array.isArray(x)?x[c]||\"\":x,_=n._module.formatLabels(h,n,r),w={};f(w,n,h.i);var k=n._meta||{};g=a.texttemplateString(b,_,r._d3locale,w,h,k)}else g=s(h.tx);g&&(g=g.replace(p,\"\").replace(d,\"\\n\")),l.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:h.lonlat},properties:{symbol:o(h.mx),text:g}})}}return{type:\"FeatureCollection\",features:l}}(e,t),a.extendFlat(L.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(a.extendFlat(L.layout,{\"icon-size\":i.marker.size/10}),a.extendFlat(L.paint,{\"icon-opacity\":i.opacity*i.marker.opacity,\"icon-color\":i.marker.color})),k)){var O=(i.marker||{}).size,z=h(i.textposition,O);a.extendFlat(L.layout,{\"text-size\":i.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset}),a.extendFlat(L.paint,{\"text-color\":i.textfont.color,\"text-opacity\":i.opacity})}return C}},{\"../../components/colorscale\":603,\"../../components/drawing\":612,\"../../components/fx/helpers\":626,\"../../constants/numerical\":693,\"../../lib\":717,\"../../lib/geojson_utils\":712,\"../../lib/svg_text_utils\":741,\"../../plots/mapbox/convert_text_opts\":819,\"../scatter/make_bubble_size_func\":1137,\"../scatter/subtypes\":1144,\"fast-isnumeric\":228}],1186:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=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 h(r,a){return n.coerce(t,e,c,r,a)}if(function(t,e,r){var n=r(\"lon\")||[],a=r(\"lat\")||[],i=Math.min(n.length,a.length);return e._length=i,i}(0,e,h)){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),a.hasLines(e)&&(o(t,e,r,u,h,{noDash:!0}),h(\"connectgaps\")),a.hasMarkers(e)){i(t,e,r,u,h,{noLine:!0});var f=e.marker;\"circle\"!==f.symbol&&(n.isArrayOrTypedArray(f.size)&&(f.size=f.size[0]),n.isArrayOrTypedArray(f.color)&&(f.color=f.color[0]))}a.hasText(e)&&s(t,e,u,h,{noSelect:!0}),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},{\"../../lib\":717,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1184}],1187:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},{}],1188:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return a.lonLabel=n.tickText(i,i.c2l(o[0]),!0).text,a.latLabel=n.tickText(i,i.c2l(o[1]),!0).text,a}},{\"../../plots/cartesian/axes\":765}],1189:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\"),o=a.fillText,s=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,h=t.ya,f=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(l,function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=a.modHalf(e[0],360),i=e[1],o=f.project([n,i]),l=o.x-u.c2p([d,i]),c=o.y-h.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)},t),!1!==t.index){var g=l[t.index],v=g.lonlat,m=[a.modHalf(v[0],360)+p,v[1]],y=u.c2p(m),x=h.c2p(m),b=g.mrc||1;t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b;var _={};_[c.subplot]={_subplot:f};var w=c._module.formatLabels(g,c,_);return t.lonLabel=w.lonLabel,t.latLabel=w.latLabel,t.color=i(c,g),t.extraText=function(t,e,r){if(t.hovertemplate)return;var n=(e.hi||t.hoverinfo).split(\"+\"),a=-1!==n.indexOf(\"all\"),i=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];function u(t){return t+\"\\xb0\"}a||i&&s?c.push(\"(\"+u(l[0])+\", \"+u(l[1])+\")\"):i?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1]));(a||-1!==n.indexOf(\"text\"))&&o(e,t,c);return c.join(\"<br>\")}(c,g,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":630,\"../../constants/numerical\":693,\"../../lib\":717,\"../scatter/get_trace_color\":1130}],1190:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"../scattergeo/calc\"),plot:t(\"./plot\"),hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/mapbox\":820,\"../scatter/marker_colorbar\":1138,\"../scattergeo/calc\":1162,\"./attributes\":1184,\"./defaults\":1186,\"./event_data\":1187,\"./format_labels\":1188,\"./hover\":1189,\"./plot\":1191,\"./select\":1192}],1191:[function(t,e,r){\"use strict\";var n=t(\"./convert\"),a=t(\"../../plots/mapbox/constants\").traceLayerPrefix,i=[\"fill\",\"line\",\"circle\",\"symbol\"];function 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),showlegend:s({},o.showlegend,{dflt:!1})};s(l,n(\"\",{colorAttr:\"u/v/w 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e,r,a,i,s,l,c,u,h,f,p,d,g=t._x,v=t._y,m=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,k=-1/0,T=1/0,M=\"\";for(y&&(c=g[0],h=v[0],p=m[0]),y>1&&(u=g[y-1],f=v[y-1],d=m[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,v[e]),w=Math.min(w,v[e]),k=Math.max(k,m[e]),T=Math.min(T,m[e]),i||g[e]===c||(i=!0,M+=\"x\"),s||v[e]===h||(s=!0,M+=\"y\"),l||m[e]===p||(l=!0,M+=\"z\");i||(M+=\"x\"),s||(M+=\"y\"),l||(M+=\"z\");var A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(h>f?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var L=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?g:\"y\"===t?v:m},P=function(t){return\"x\"===t?A:\"y\"===t?S:E},O=function(t){return t[y-1]<t[0]?-1:1},z=C(M[1]),I=C(M[3]),D=C(M[5]),R=P(M[1]).length,F=P(M[3]).length,B=P(M[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},V=O(C(M[1])),U=O(C(M[3])),q=O(C(M[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(a=0;a<R-1;a++){var H=j(e,r,a),G=j(e,r,a+1),Y=j(e,r+1,a),W=j(e+1,r,a);if(z[H]*V<z[G]*V&&I[H]*U<I[Y]*U&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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m=n[u];r.xMax=Math.max(r.xMax,m),r.xMin=Math.min(r.xMin,m);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:i}},{\"../../components/colorscale/calc\":599,\"../../lib\":717}],1228:[function(t,e,r){\"use strict\";var n=t(\"gl-streamtube3d\"),a=n.createTubeMesh,i=t(\"../../lib\"),o=t(\"../../lib/gl_format_color\").parseColorScale,s=t(\"../../components/colorscale\").extractOpts,l=t(\"../../plots/gl3d/zip3\"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,a=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=a[c[e]];return 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O.lightPosition=[I.x,I.y,I.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var a=e[n],i=r[c[n]];return a.l2c(t)/i}if(t.object===this.mesh){var a=t.data.position,i=t.data.velocity;return t.traceCoordinate=[n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),i=a(r,n),o=new u(t,e.uid);return 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{\"../../plots/gl3d\":805,\"./attributes\":1226,\"./calc\":1227,\"./convert\":1228,\"./defaults\":1229}],1231:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,a){var i,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,h=!s.uniformtext.mode&&y.hasTransition(r);(u(\"sunburst\",s),(i=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\"),i.order(),h)?(a&&(o=a()),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){x(t,e,this,r)})})):(i.each(function(e){x(t,e,this,r)}),s.uniformtext.mode&&g(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&i.exit().remove()},r.formatSliceLabel=function(t,e,r,n,a){var i=r.texttemplate,s=r.textinfo;if(!(i||s&&\"none\"!==s))return\"\";var l=a.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=y.isHierarchyRoot(t),p=y.getParent(h,t),d=y.getValue(t);if(!i){var g,v=s.split(\"+\"),m=function(t){return-1!==v.indexOf(t)},x=[];if(m(\"label\")&&u.label&&x.push(u.label),u.hasOwnProperty(\"v\")&&m(\"value\")&&x.push(y.formatValue(u.v,l)),!f){m(\"current path\")&&x.push(y.getPath(t.data));var b=0;m(\"percent parent\")&&b++,m(\"percent entry\")&&b++,m(\"percent root\")&&b++;var _=b>1;if(b){var w,k=function(t){g=y.formatPercent(w,l),_&&(g+=\" of \"+t),x.push(g)};m(\"percent parent\")&&!f&&(w=d/y.getValue(p),k(\"parent\")),m(\"percent entry\")&&(w=d/y.getValue(e),k(\"entry\")),m(\"percent root\")&&(w=d/y.getValue(h),k(\"root\"))}}return m(\"text\")&&(g=o.castOption(r,u.i,\"text\"),o.isValidTextValue(g)&&x.push(g)),x.join(\"<br>\")}var T=o.castOption(r,u.i,\"texttemplate\");if(!T)return\"\";var M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(T,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":612,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../bar/style\":870,\"../bar/uniform_text\":872,\"../pie/plot\":1103,\"./constants\":1234,\"./fx\":1236,\"./helpers\":1237,\"./style\":1242,d3:165,\"d3-hierarchy\":159}],1242:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/color\"),i=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=i.castOption(r,s,\"marker.line.color\")||a.defaultLine,c=i.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(a.fill,n.color).call(a.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\":591,\"../../lib\":717,\"../bar/uniform_text\":872,d3:165}],1243:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(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 u=e.exports=l(s({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:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or 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0},{\"../../components/color\":591,\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841}],1244:[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\":599}],1245:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-homography\"),o=t(\"ndarray-fill\"),s=t(\"../../lib\").isArrayOrTypedArray,l=t(\"../../lib/gl_format_color\").parseColorScale,c=t(\"../../lib/str2rgbarray\"),u=t(\"../../components/colorscale\").extractOpts,h=t(\"../heatmap/interp2d\"),f=t(\"../heatmap/find_empties\");function p(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 d=p.prototype;d.getXat=function(t,e,r,n){var a=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},d.getYat=function(t,e,r,n){var a=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},d.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},d.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),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][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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v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<g.length;r++){var n=g[r];e.push(v(t,n))}return e}function y(t){for(var e=m(t),r=t,n=0;n<g.length;n++)if(e[n]>0){r=g[n];break}return r}function x(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<g.length;i++)a*=Math.pow(g[i],Math.max(r[i],n[i]));return a}}d.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],_=b[9],w=b[13];function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=x(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<_;)r*=2;for(;r>w;)r--,r/=y(r),++r<_&&(r=w);var n=Math.round(r/t);return n>1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),c=1+n+1,u=1+o+1,h=a(new Float32Array(c*u),[c,u]),f=0;f<t.length;++f){this.surface.padField(h,t[f]);var p=a(new Float32Array(s*l),[s,l]);i(p,h,[e,0,0,0,r,0,0,0,1]),t[f]=p}},d.setContourLevels=function(){var 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../pie/attributes\"),l=t(\"../sunburst/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:u({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:l.marker.colors,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:l.marker.line,editType:\"calc\"},i(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:u({},s.textfont,{}),editType:\"calc\"},text:s.text,textinfo:l.textinfo,texttemplate:a({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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       "                        {\"scrollZoom\": true, \"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('4ad4e35e-1462-473c-bd7f-15791c43260b');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plot_static_mapper_graph(pipe, data)\n",
    "fig.show(config={'scrollZoom': True})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 3\n",
    "Try different settings for the cover (no overlap, more/less intervals) and observe how the graph changes. Can you explain why?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Application: Breast cancer\n",
    "A team of biologist and mathematicians applied the Mapper algorithm to genomic breast cancer data. Looking at the topological structure of the data they found a before unknown subgroup of breast cancer. Patients with on the newly discovered branch called c-MYB+ show 100% survival rate without metastasis wheras the other branch is deadly. Clinicians can now use the discovered genetic profile to test patients and adapt the treatment accordingly. This highlights the impact modern data science can have on people's life.\n",
    "\n",
    "<div style=\"text-align: center\">\n",
    "<img src='images/mapper_breast_cancer.jpg' width='600'>\n",
    "    <p style=\"text-align: center;\"> <b>Figure:</b> Mapper applied to breast cancer data. </p>\n",
    "</div>\n",
    "\n",
    "**Reference:** Nicolau, Monica, Arnold J. Levine, and Gunnar Carlsson. \"Topology based data analysis identifies a subgroup of breast cancers with a unique mutational profile and excellent survival.\" Proceedings of the National Academy of Sciences 108.17 (2011): 7265-7270.\n",
    "\n",
    "**Link:** https://www.pnas.org/content/108/17/7265"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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