{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ea691fb6",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 30px;\">EmployeeSalaries_Disparity_Dataset Accompanying Notebook</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bf5ba24",
   "metadata": {},
   "source": [
    "# 💲 Employee Salaries Disparity Project\n",
    "---\n",
    "**Note: This accompanying notebook was created for EDA, validation of calculations used in SQL query, and to generate visualizations used in the Powerpoint Slide** "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05499862",
   "metadata": {},
   "source": [
    "# 🎯 Business Objectives\n",
    "Business Case:\n",
    "- The data analytics manager of a company would like to seek insights into salary disparities present within the company department\n",
    "- PWD Department has been flagged as a department that has a high amount of salary spread\n",
    "\n",
    "Objective:\n",
    "- Obtain relevant insights with Exploratory Data Analysis (EDA), and create a SQL query that identifies a high amount of variation within the department\n",
    "- Provide the top 5 department that should be selected for management to review, with regards to having the most variance & discrepancy in salary\n",
    "\n",
    "Deliverable:\n",
    "- Provide a list from a SQL database with a way to score variation by Department\n",
    "JupyterNotebook with accompanying Python code block for SQL calculation cross-validation & EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1f66239a",
   "metadata": {},
   "outputs": [],
   "source": [
    "## importing libraries for project\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import plotly.express as px\n",
    "import scipy.stats as stats\n",
    "import pandas as pd\n",
    "import plotly.graph_objects as go\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "91dbae61",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import csv\n",
    "df = pd.read_csv('data/Employee_Salaries.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f7f4297",
   "metadata": {},
   "source": [
    "# 🔍 Exploratory Data Analysis on Overall Dataset\n",
    "---\n",
    "\n",
    "> **OVERALL GOAL:** \n",
    "> - View summary statistics, determine the impact of missing/NaN values on the SQL query, perform data visualization to obtain insights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "78c10e17",
   "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>Department</th>\n",
       "      <th>Department_Division</th>\n",
       "      <th>PCN</th>\n",
       "      <th>Position_Title</th>\n",
       "      <th>FLSA_Status</th>\n",
       "      <th>Initial_Hire_Date</th>\n",
       "      <th>Date_in_Title</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AGR</td>\n",
       "      <td>AGR 001 Directors Office</td>\n",
       "      <td>B.001326.1</td>\n",
       "      <td>Administrative Specialist II</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>9/10/1984</td>\n",
       "      <td>3/1/2018</td>\n",
       "      <td>59947.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AGR</td>\n",
       "      <td>AGR 001 Directors Office</td>\n",
       "      <td>B.003590</td>\n",
       "      <td>Rural Community Coordinator</td>\n",
       "      <td>Exempt</td>\n",
       "      <td>8/16/2003</td>\n",
       "      <td>12/7/2016</td>\n",
       "      <td>85765.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AGR</td>\n",
       "      <td>AGR 001 Directors Office</td>\n",
       "      <td>B.004807</td>\n",
       "      <td>Director of Agriculture</td>\n",
       "      <td>Exempt</td>\n",
       "      <td>10/1/2008</td>\n",
       "      <td>10/1/2008</td>\n",
       "      <td>137517.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGR</td>\n",
       "      <td>AGR 010 Cooperative Extension Program</td>\n",
       "      <td>B.001801.1</td>\n",
       "      <td>Administrative Assistant</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>2/1/2011</td>\n",
       "      <td>3/14/2019</td>\n",
       "      <td>38745.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AGR</td>\n",
       "      <td>AGR 010 Cooperative Extension Program</td>\n",
       "      <td>B.002434.1</td>\n",
       "      <td>Administrative Assistant</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>8/16/1993</td>\n",
       "      <td>5/16/1999</td>\n",
       "      <td>51521.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Department                    Department_Division              PCN  \\\n",
       "0        AGR               AGR 001 Directors Office  B.001326.1        \n",
       "1        AGR               AGR 001 Directors Office         B.003590   \n",
       "2        AGR               AGR 001 Directors Office         B.004807   \n",
       "3        AGR  AGR 010 Cooperative Extension Program  B.001801.1        \n",
       "4        AGR  AGR 010 Cooperative Extension Program  B.002434.1        \n",
       "\n",
       "                 Position_Title FLSA_Status Initial_Hire_Date Date_in_Title  \\\n",
       "0  Administrative Specialist II  Non Exempt         9/10/1984      3/1/2018   \n",
       "1   Rural Community Coordinator      Exempt         8/16/2003     12/7/2016   \n",
       "2       Director of Agriculture      Exempt         10/1/2008     10/1/2008   \n",
       "3      Administrative Assistant  Non Exempt          2/1/2011     3/14/2019   \n",
       "4      Administrative Assistant  Non Exempt         8/16/1993     5/16/1999   \n",
       "\n",
       "      Salary  \n",
       "0   59947.94  \n",
       "1   85765.16  \n",
       "2  137517.91  \n",
       "3   38745.46  \n",
       "4   51521.60  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f0bc44df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6954 entries, 0 to 6953\n",
      "Data columns (total 8 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Department           6954 non-null   object \n",
      " 1   Department_Division  6954 non-null   object \n",
      " 2   PCN                  6954 non-null   object \n",
      " 3   Position_Title       6954 non-null   object \n",
      " 4   FLSA_Status          6933 non-null   object \n",
      " 5   Initial_Hire_Date    6954 non-null   object \n",
      " 6   Date_in_Title        6053 non-null   object \n",
      " 7   Salary               6946 non-null   float64\n",
      "dtypes: float64(1), object(7)\n",
      "memory usage: 434.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "446922c9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Salary</th>\n",
       "      <td>6946.0</td>\n",
       "      <td>50311.956067</td>\n",
       "      <td>30931.208983</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35324.12</td>\n",
       "      <td>51198.68</td>\n",
       "      <td>68386.825</td>\n",
       "      <td>271004.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         count          mean           std  min       25%       50%  \\\n",
       "Salary  6946.0  50311.956067  30931.208983  0.0  35324.12  51198.68   \n",
       "\n",
       "              75%       max  \n",
       "Salary  68386.825  271004.5  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a996f623",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     Count of Null  % of Null\n",
      "Department                       0   0.000000\n",
      "Department_Division              0   0.000000\n",
      "PCN                              0   0.000000\n",
      "Position_Title                   0   0.000000\n",
      "FLSA_Status                     21   0.301984\n",
      "Initial_Hire_Date                0   0.000000\n",
      "Date_in_Title                  901  12.956572\n",
      "Salary                           8   0.115042\n"
     ]
    }
   ],
   "source": [
    "#### Sanity check on missing values within dataset\n",
    "\n",
    "# Calculate the count of null values for each column\n",
    "count_nan = df.isnull().sum()\n",
    "\n",
    "# Calculate the total number of rows in the dataframe\n",
    "total_rows = len(df)\n",
    "\n",
    "# Calculate the percentage of null values for each column\n",
    "percentage_nan = (count_nan / total_rows) * 100\n",
    "\n",
    "# Combine the count and percentage values side by side\n",
    "nan_summary = pd.concat([count_nan, percentage_nan], axis=1, keys=['Count of Null', '% of Null'])\n",
    "\n",
    "print(nan_summary)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "049b8f0f",
   "metadata": {},
   "source": [
    "Observed that null values are present in 'FLSA_Status', 'Date_in_Title' and 'Salary' column.\n",
    "\n",
    "'Date_in_Title' is not used in the scope of this project & will be thus ignored"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d43a7822",
   "metadata": {},
   "outputs": [
    {
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       "      <td>NaN</td>\n",
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       "      <th>3200</th>\n",
       "      <td>PAR</td>\n",
       "      <td>PAR 070 CRC - Kempsville</td>\n",
       "      <td>N.090153</td>\n",
       "      <td>Lifeguard</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Aquatics Instructor</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>PAR</td>\n",
       "      <td>PAR 075 CRC - Princess Anne</td>\n",
       "      <td>N.090163</td>\n",
       "      <td>Aquatics Instructor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3/10/2020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3804</th>\n",
       "      <td>PAR</td>\n",
       "      <td>PAR 085 Therapeutic Recreation Programs</td>\n",
       "      <td>N.030440</td>\n",
       "      <td>Activity Center Assistant Leader</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/27/2020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3959</th>\n",
       "      <td>PAR</td>\n",
       "      <td>PAR 089 Out-Of-School Time - School Based</td>\n",
       "      <td>N.030093</td>\n",
       "      <td>Activity Center Assistant Leader</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7/9/2020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3961</th>\n",
       "      <td>PAR</td>\n",
       "      <td>PAR 089 Out-Of-School Time - School Based</td>\n",
       "      <td>N.030093</td>\n",
       "      <td>Activity Center Assistant Leader</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7/9/2020</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.80</td>\n",
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       "    <tr>\n",
       "      <th>3999</th>\n",
       "      <td>PAR</td>\n",
       "      <td>PAR 089 Out-Of-School Time - School Based</td>\n",
       "      <td>N.030094</td>\n",
       "      <td>Activity Center Leader</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>14.89</td>\n",
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       "      <th>6402</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 033 Court Support Services</td>\n",
       "      <td>S.020001</td>\n",
       "      <td>Security Screener (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7/26/2021</td>\n",
       "      <td>7/26/2021</td>\n",
       "      <td>14.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6408</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 033 Court Support Services</td>\n",
       "      <td>S.020001</td>\n",
       "      <td>Security Screener (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8/19/2021</td>\n",
       "      <td>8/19/2021</td>\n",
       "      <td>14.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6421</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 033 Court Support Services</td>\n",
       "      <td>S.020001</td>\n",
       "      <td>Security Screener (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9/2/2021</td>\n",
       "      <td>9/2/2021</td>\n",
       "      <td>14.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6442</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 033 Court Support Services</td>\n",
       "      <td>S.020001</td>\n",
       "      <td>Security Screener (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7/1/2001</td>\n",
       "      <td>6/3/2021</td>\n",
       "      <td>22.78</td>\n",
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       "      <th>6452</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 033 Court Support Services</td>\n",
       "      <td>S.020001</td>\n",
       "      <td>Security Screener (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9/30/1976</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6469</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 033 Court Support Services</td>\n",
       "      <td>S.020001</td>\n",
       "      <td>Security Screener (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/1/2000</td>\n",
       "      <td>6/3/2021</td>\n",
       "      <td>22.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6474</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 033 Court Support Services</td>\n",
       "      <td>S.020001</td>\n",
       "      <td>Security Screener (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8/26/2021</td>\n",
       "      <td>8/26/2021</td>\n",
       "      <td>14.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6477</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 033 Court Support Services</td>\n",
       "      <td>S.020001</td>\n",
       "      <td>Security Screener (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11/16/2012</td>\n",
       "      <td>8/19/2021</td>\n",
       "      <td>14.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6490</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 033 Court Support Services</td>\n",
       "      <td>S.020001</td>\n",
       "      <td>Security Screener (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/1/1997</td>\n",
       "      <td>6/17/2021</td>\n",
       "      <td>22.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6542</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 034 Correctional Operations</td>\n",
       "      <td>S.020066.2</td>\n",
       "      <td>Public Safety Investigator (State)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7/15/2021</td>\n",
       "      <td>7/15/2021</td>\n",
       "      <td>24.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Department                        Department_Division              PCN  \\\n",
       "1455        GRD   GRD 010 Voter Registration and Elections         N.030141   \n",
       "1460        GRD   GRD 010 Voter Registration and Elections         N.030141   \n",
       "1468        GRD   GRD 010 Voter Registration and Elections         N.030141   \n",
       "3200        PAR                   PAR 070 CRC - Kempsville         N.090153   \n",
       "3419        PAR                   PAR 073 CRC - Great Neck         N.090161   \n",
       "3512        PAR                PAR 075 CRC - Princess Anne         N.090163   \n",
       "3540        PAR                PAR 075 CRC - Princess Anne         N.090163   \n",
       "3804        PAR    PAR 085 Therapeutic Recreation Programs         N.030440   \n",
       "3959        PAR  PAR 089 Out-Of-School Time - School Based         N.030093   \n",
       "3961        PAR  PAR 089 Out-Of-School Time - School Based         N.030093   \n",
       "3999        PAR  PAR 089 Out-Of-School Time - School Based         N.030094   \n",
       "6402        SHF             SHF 033 Court Support Services         S.020001   \n",
       "6408        SHF             SHF 033 Court Support Services         S.020001   \n",
       "6421        SHF             SHF 033 Court Support Services         S.020001   \n",
       "6442        SHF             SHF 033 Court Support Services         S.020001   \n",
       "6452        SHF             SHF 033 Court Support Services         S.020001   \n",
       "6469        SHF             SHF 033 Court Support Services         S.020001   \n",
       "6474        SHF             SHF 033 Court Support Services         S.020001   \n",
       "6477        SHF             SHF 033 Court Support Services         S.020001   \n",
       "6490        SHF             SHF 033 Court Support Services         S.020001   \n",
       "6542        SHF            SHF 034 Correctional Operations  S.020066.2        \n",
       "\n",
       "                          Position_Title FLSA_Status Initial_Hire_Date  \\\n",
       "1455               Board of Equalization         NaN          1/1/2021   \n",
       "1460               Board of Equalization         NaN         5/14/2018   \n",
       "1468               Board of Equalization         NaN         5/15/2018   \n",
       "3200                           Lifeguard         NaN          1/9/2020   \n",
       "3419                 Aquatics Instructor         NaN          2/5/2020   \n",
       "3512                 Aquatics Instructor         NaN         1/17/2020   \n",
       "3540                 Aquatics Instructor         NaN         3/10/2020   \n",
       "3804    Activity Center Assistant Leader         NaN         1/27/2020   \n",
       "3959    Activity Center Assistant Leader         NaN          7/9/2020   \n",
       "3961    Activity Center Assistant Leader         NaN          7/9/2020   \n",
       "3999              Activity Center Leader         NaN          7/9/2020   \n",
       "6402           Security Screener (State)         NaN         7/26/2021   \n",
       "6408           Security Screener (State)         NaN         8/19/2021   \n",
       "6421           Security Screener (State)         NaN          9/2/2021   \n",
       "6442           Security Screener (State)         NaN          7/1/2001   \n",
       "6452           Security Screener (State)         NaN         9/30/1976   \n",
       "6469           Security Screener (State)         NaN          2/1/2000   \n",
       "6474           Security Screener (State)         NaN         8/26/2021   \n",
       "6477           Security Screener (State)         NaN        11/16/2012   \n",
       "6490           Security Screener (State)         NaN          2/1/1997   \n",
       "6542  Public Safety Investigator (State)         NaN         7/15/2021   \n",
       "\n",
       "     Date_in_Title  Salary  \n",
       "1455           NaN     NaN  \n",
       "1460           NaN     NaN  \n",
       "1468           NaN     NaN  \n",
       "3200           NaN   12.06  \n",
       "3419           NaN   15.72  \n",
       "3512           NaN   15.72  \n",
       "3540           NaN   15.72  \n",
       "3804           NaN   12.80  \n",
       "3959           NaN   12.80  \n",
       "3961           NaN   12.80  \n",
       "3999           NaN   14.89  \n",
       "6402     7/26/2021   14.13  \n",
       "6408     8/19/2021   14.13  \n",
       "6421      9/2/2021   14.13  \n",
       "6442      6/3/2021   22.78  \n",
       "6452           NaN   22.78  \n",
       "6469      6/3/2021   22.78  \n",
       "6474     8/26/2021   14.13  \n",
       "6477     8/19/2021   14.13  \n",
       "6490     6/17/2021   22.78  \n",
       "6542     7/15/2021   24.02  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Check for missing values in 'FLSA_Status'\n",
    "df[df['FLSA_Status'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3de1d3c",
   "metadata": {},
   "source": [
    "Salary where FLSA_Status is null mostly falls into the Lower Income Bracket range, as such it will not affect final calculation, where analysis is centered around Upper Income Bracket. Salary of PCN 'N.030141' could be looked into to obtain a more accurate analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0c343606",
   "metadata": {
    "scrolled": false
   },
   "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>Department</th>\n",
       "      <th>Department_Division</th>\n",
       "      <th>PCN</th>\n",
       "      <th>Position_Title</th>\n",
       "      <th>FLSA_Status</th>\n",
       "      <th>Initial_Hire_Date</th>\n",
       "      <th>Date_in_Title</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AGR</td>\n",
       "      <td>AGR 110 Farmers Market</td>\n",
       "      <td>N.030520</td>\n",
       "      <td>Office Assistant I</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>7/16/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AGR</td>\n",
       "      <td>AGR 110 Farmers Market</td>\n",
       "      <td>N.030636</td>\n",
       "      <td>Operations Assistant II</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>6/7/2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>CIR</td>\n",
       "      <td>CIR 011 Circuit Court/Judges Office</td>\n",
       "      <td>N.090175</td>\n",
       "      <td>Judicial Assistant</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>7/1/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>CIR</td>\n",
       "      <td>CIR 011 Circuit Court/Judges Office</td>\n",
       "      <td>B.005758</td>\n",
       "      <td>Law Clerk</td>\n",
       "      <td>Exempt</td>\n",
       "      <td>8/12/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52208.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>CIT</td>\n",
       "      <td>CIT 120 Information Technology Business Center</td>\n",
       "      <td>B.004374.3</td>\n",
       "      <td>Systems Analyst II</td>\n",
       "      <td>Exempt</td>\n",
       "      <td>8/26/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81120.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6605</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 034 Correctional Operations</td>\n",
       "      <td>S.020641</td>\n",
       "      <td>Deputy Sheriff I (State)</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>12/1/2008</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6712</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 034 Correctional Operations</td>\n",
       "      <td>S.020002</td>\n",
       "      <td>Clerk (State)</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>1/17/2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6757</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 034 Correctional Operations</td>\n",
       "      <td>S.020002</td>\n",
       "      <td>Clerk (State)</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>8/16/2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6838</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 039 Inmate Support</td>\n",
       "      <td>S.020052.2</td>\n",
       "      <td>Clerk (State)</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>6/17/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6935</th>\n",
       "      <td>TRE</td>\n",
       "      <td>TRE 020 City Treasurer</td>\n",
       "      <td>B.002168.1</td>\n",
       "      <td>Treasury Specialist I</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>7/29/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31844.80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>901 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Department                             Department_Division  \\\n",
       "5           AGR                          AGR 110 Farmers Market   \n",
       "8           AGR                          AGR 110 Farmers Market   \n",
       "116         CIR             CIR 011 Circuit Court/Judges Office   \n",
       "119         CIR             CIR 011 Circuit Court/Judges Office   \n",
       "135         CIT  CIT 120 Information Technology Business Center   \n",
       "...         ...                                             ...   \n",
       "6605        SHF                 SHF 034 Correctional Operations   \n",
       "6712        SHF                 SHF 034 Correctional Operations   \n",
       "6757        SHF                 SHF 034 Correctional Operations   \n",
       "6838        SHF                          SHF 039 Inmate Support   \n",
       "6935        TRE                          TRE 020 City Treasurer   \n",
       "\n",
       "                  PCN            Position_Title FLSA_Status Initial_Hire_Date  \\\n",
       "5            N.030520        Office Assistant I  Non Exempt         7/16/2021   \n",
       "8            N.030636   Operations Assistant II  Non Exempt          6/7/2018   \n",
       "116          N.090175        Judicial Assistant  Non Exempt          7/1/2021   \n",
       "119          B.005758                 Law Clerk      Exempt         8/12/2021   \n",
       "135   B.004374.3             Systems Analyst II      Exempt         8/26/2021   \n",
       "...               ...                       ...         ...               ...   \n",
       "6605         S.020641  Deputy Sheriff I (State)  Non Exempt         12/1/2008   \n",
       "6712         S.020002             Clerk (State)  Non Exempt         1/17/2019   \n",
       "6757         S.020002             Clerk (State)  Non Exempt         8/16/2018   \n",
       "6838  S.020052.2                  Clerk (State)  Non Exempt         6/17/2021   \n",
       "6935  B.002168.1          Treasury Specialist I  Non Exempt         7/29/2021   \n",
       "\n",
       "     Date_in_Title    Salary  \n",
       "5              NaN     14.14  \n",
       "8              NaN     13.57  \n",
       "116            NaN     17.67  \n",
       "119            NaN  52208.00  \n",
       "135            NaN  81120.00  \n",
       "...            ...       ...  \n",
       "6605           NaN     28.15  \n",
       "6712           NaN     10.98  \n",
       "6757           NaN     10.98  \n",
       "6838           NaN     10.66  \n",
       "6935           NaN  31844.80  \n",
       "\n",
       "[901 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Date_in_Title'].isnull()] ## 'Date_in_Title' not used in the scope of this project, we see that corresponding salary values are still intact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4d454b9e",
   "metadata": {
    "scrolled": false
   },
   "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>Department</th>\n",
       "      <th>Department_Division</th>\n",
       "      <th>PCN</th>\n",
       "      <th>Position_Title</th>\n",
       "      <th>FLSA_Status</th>\n",
       "      <th>Initial_Hire_Date</th>\n",
       "      <th>Date_in_Title</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1455</th>\n",
       "      <td>GRD</td>\n",
       "      <td>GRD 010 Voter Registration and Elections</td>\n",
       "      <td>N.030141</td>\n",
       "      <td>Board of Equalization</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>GRD</td>\n",
       "      <td>GRD 010 Voter Registration and Elections</td>\n",
       "      <td>N.030141</td>\n",
       "      <td>Board of Equalization</td>\n",
       "      <td>Exempt</td>\n",
       "      <td>3/1/2014</td>\n",
       "      <td>3/1/2014</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1460</th>\n",
       "      <td>GRD</td>\n",
       "      <td>GRD 010 Voter Registration and Elections</td>\n",
       "      <td>N.030141</td>\n",
       "      <td>Board of Equalization</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5/14/2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1466</th>\n",
       "      <td>GRD</td>\n",
       "      <td>GRD 010 Voter Registration and Elections</td>\n",
       "      <td>N.030141</td>\n",
       "      <td>Board of Equalization</td>\n",
       "      <td>Exempt</td>\n",
       "      <td>1/1/2007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>GRD</td>\n",
       "      <td>GRD 010 Voter Registration and Elections</td>\n",
       "      <td>N.030141</td>\n",
       "      <td>Board of Equalization</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5/15/2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6321</th>\n",
       "      <td>REA</td>\n",
       "      <td>REA 011 Board of Equalization</td>\n",
       "      <td>N.030010</td>\n",
       "      <td>Board of Equalization</td>\n",
       "      <td>Exempt</td>\n",
       "      <td>8/1/2015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6322</th>\n",
       "      <td>REA</td>\n",
       "      <td>REA 011 Board of Equalization</td>\n",
       "      <td>N.030010</td>\n",
       "      <td>Board of Equalization</td>\n",
       "      <td>Exempt</td>\n",
       "      <td>7/1/2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6323</th>\n",
       "      <td>REA</td>\n",
       "      <td>REA 011 Board of Equalization</td>\n",
       "      <td>N.030010</td>\n",
       "      <td>Board of Equalization</td>\n",
       "      <td>Exempt</td>\n",
       "      <td>7/1/2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Department                       Department_Division       PCN  \\\n",
       "1455        GRD  GRD 010 Voter Registration and Elections  N.030141   \n",
       "1458        GRD  GRD 010 Voter Registration and Elections  N.030141   \n",
       "1460        GRD  GRD 010 Voter Registration and Elections  N.030141   \n",
       "1466        GRD  GRD 010 Voter Registration and Elections  N.030141   \n",
       "1468        GRD  GRD 010 Voter Registration and Elections  N.030141   \n",
       "6321        REA             REA 011 Board of Equalization  N.030010   \n",
       "6322        REA             REA 011 Board of Equalization  N.030010   \n",
       "6323        REA             REA 011 Board of Equalization  N.030010   \n",
       "\n",
       "             Position_Title FLSA_Status Initial_Hire_Date Date_in_Title  \\\n",
       "1455  Board of Equalization         NaN          1/1/2021           NaN   \n",
       "1458  Board of Equalization      Exempt          3/1/2014      3/1/2014   \n",
       "1460  Board of Equalization         NaN         5/14/2018           NaN   \n",
       "1466  Board of Equalization      Exempt          1/1/2007           NaN   \n",
       "1468  Board of Equalization         NaN         5/15/2018           NaN   \n",
       "6321  Board of Equalization      Exempt          8/1/2015           NaN   \n",
       "6322  Board of Equalization      Exempt          7/1/2016           NaN   \n",
       "6323  Board of Equalization      Exempt          7/1/2012           NaN   \n",
       "\n",
       "      Salary  \n",
       "1455     NaN  \n",
       "1458     NaN  \n",
       "1460     NaN  \n",
       "1466     NaN  \n",
       "1468     NaN  \n",
       "6321     NaN  \n",
       "6322     NaN  \n",
       "6323     NaN  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Sanity check for missing salary information\n",
    "df[df['Salary'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a06738c",
   "metadata": {},
   "source": [
    "Possibility to check with data engineering team/ data analytics manager to request for salary data for employee with PCN N.030010 & N.030141 from REA 011 Board of Equalization and GRD 010 Voter Registration and Elections respectively for more conclusive analysis.\n",
    "\n",
    "- Missing 'Salary' values constitute of 0.12% of total rows in dataframe [quite minimal]\n",
    "- We'll proceed with data analysis without any missing salary value imputation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff58ba67",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 25px;\">Histogram & Quantile-Quantile Plot of Salary across all Income Bracket</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8aae25e1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Slicing original df to obtain only the Salary column\n",
    "salary_column_distribution = df['Salary']\n",
    "\n",
    "# # Shapiro-Wilk test for normality\n",
    "# shapiro_test_statistic, shapiro_p_value = stats.shapiro(salary_column_distribution)\n",
    "# print(f\"Shapiro-Wilk test statistic: {shapiro_test_statistic}, p-value: {shapiro_p_value}\")\n",
    "\n",
    "# Visualization: Histogram\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.histplot(salary_column_distribution, kde=True, \n",
    "#              bins = 60\n",
    "            bins='auto'\n",
    "            )\n",
    "plt.title(\"Histogram of Salary Distribution Across all Income Brackets\")\n",
    "plt.xlabel(\"Salary\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.show()\n",
    "\n",
    "# Visualization: Q-Q plot\n",
    "plt.figure(figsize=(8, 5))\n",
    "stats.probplot(salary_column_distribution, dist=\"norm\", plot=plt)\n",
    "plt.title(\"Quantile-Quantile Plot of Salary Distribution across all Income Brackets\")\n",
    "plt.xlabel(\"Theoretical Quantiles\")\n",
    "plt.ylabel(\"Sample Quantiles\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "982bfcef",
   "metadata": {},
   "source": [
    "From this plot, we notice that the highest count of employees within the company fall into the Lower Income bracket of <= $10,000\n",
    "\n",
    "EDA on the lower income bracket is performed to determine if the Lower income bracket should be considered for departmental salary disparity analysis\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db21a4e3",
   "metadata": {},
   "source": [
    "# 🔍 Exploratory Data Analysis on Lower Income Bracket [<=$10,000]\n",
    "---\n",
    "\n",
    "> **OVERALL GOAL:** \n",
    "> - View summary statistics, identify characteristics of Lower Income Bracket & to perform data visualization to justify that salary disparity analysis should mainly be conducted for employees within the higher income bracket [Later renamed as: Annual Salaried Employees]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c37e2dd",
   "metadata": {},
   "source": [
    "First we perform a slice to obtain a df containing only the data in the defined lower income bracket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7bb1b6d1",
   "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>Department</th>\n",
       "      <th>Department_Division</th>\n",
       "      <th>PCN</th>\n",
       "      <th>Position_Title</th>\n",
       "      <th>FLSA_Status</th>\n",
       "      <th>Initial_Hire_Date</th>\n",
       "      <th>Date_in_Title</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AGR</td>\n",
       "      <td>AGR 110 Farmers Market</td>\n",
       "      <td>N.030520</td>\n",
       "      <td>Office Assistant I</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>7/16/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AGR</td>\n",
       "      <td>AGR 110 Farmers Market</td>\n",
       "      <td>N.030636</td>\n",
       "      <td>Operations Assistant II</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>6/7/2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CIR</td>\n",
       "      <td>CIR 011 Circuit Court/Judges Office</td>\n",
       "      <td>N.090175</td>\n",
       "      <td>Judicial Assistant</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>7/1/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>COR</td>\n",
       "      <td>COR 002 DMV Select</td>\n",
       "      <td>N.030663.1</td>\n",
       "      <td>Revenue Agent III</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>1/14/1980</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>COR</td>\n",
       "      <td>COR 002 DMV Select</td>\n",
       "      <td>P.050239.1</td>\n",
       "      <td>Account Clerk II</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>12/22/2014</td>\n",
       "      <td>10/24/2019</td>\n",
       "      <td>15.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1150</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 034 Correctional Operations</td>\n",
       "      <td>S.020002</td>\n",
       "      <td>Clerk (State)</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>8/16/2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1151</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 035 Sheriffs Care Mart</td>\n",
       "      <td>P.050112.1</td>\n",
       "      <td>Storekeeper III (State)</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>4/1/1985</td>\n",
       "      <td>12/16/2011</td>\n",
       "      <td>23.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1152</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 035 Sheriffs Care Mart</td>\n",
       "      <td>S.020063.2</td>\n",
       "      <td>Inmate Services Director</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>7/17/1985</td>\n",
       "      <td>2/1/2011</td>\n",
       "      <td>51.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1153</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 039 Inmate Support</td>\n",
       "      <td>S.020052.2</td>\n",
       "      <td>Clerk (State)</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>6/17/2021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1154</th>\n",
       "      <td>SHF</td>\n",
       "      <td>SHF 039 Inmate Support</td>\n",
       "      <td>N.030652.1</td>\n",
       "      <td>Clerk (State)</td>\n",
       "      <td>Non Exempt</td>\n",
       "      <td>10/6/2015</td>\n",
       "      <td>10/6/2015</td>\n",
       "      <td>11.17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1155 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Department                  Department_Division              PCN  \\\n",
       "0           AGR               AGR 110 Farmers Market         N.030520   \n",
       "1           AGR               AGR 110 Farmers Market         N.030636   \n",
       "2           CIR  CIR 011 Circuit Court/Judges Office         N.090175   \n",
       "3           COR                   COR 002 DMV Select  N.030663.1        \n",
       "4           COR                   COR 002 DMV Select  P.050239.1        \n",
       "...         ...                                  ...              ...   \n",
       "1150        SHF      SHF 034 Correctional Operations         S.020002   \n",
       "1151        SHF           SHF 035 Sheriffs Care Mart  P.050112.1        \n",
       "1152        SHF           SHF 035 Sheriffs Care Mart  S.020063.2        \n",
       "1153        SHF               SHF 039 Inmate Support  S.020052.2        \n",
       "1154        SHF               SHF 039 Inmate Support  N.030652.1        \n",
       "\n",
       "                Position_Title FLSA_Status Initial_Hire_Date Date_in_Title  \\\n",
       "0           Office Assistant I  Non Exempt         7/16/2021           NaN   \n",
       "1      Operations Assistant II  Non Exempt          6/7/2018           NaN   \n",
       "2           Judicial Assistant  Non Exempt          7/1/2021           NaN   \n",
       "3            Revenue Agent III  Non Exempt         1/14/1980           NaN   \n",
       "4             Account Clerk II  Non Exempt        12/22/2014    10/24/2019   \n",
       "...                        ...         ...               ...           ...   \n",
       "1150             Clerk (State)  Non Exempt         8/16/2018           NaN   \n",
       "1151   Storekeeper III (State)  Non Exempt          4/1/1985    12/16/2011   \n",
       "1152  Inmate Services Director  Non Exempt         7/17/1985      2/1/2011   \n",
       "1153             Clerk (State)  Non Exempt         6/17/2021           NaN   \n",
       "1154             Clerk (State)  Non Exempt         10/6/2015     10/6/2015   \n",
       "\n",
       "      Salary  \n",
       "0      14.14  \n",
       "1      13.57  \n",
       "2      17.67  \n",
       "3      21.08  \n",
       "4      15.61  \n",
       "...      ...  \n",
       "1150   10.98  \n",
       "1151   23.13  \n",
       "1152   51.99  \n",
       "1153   10.66  \n",
       "1154   11.17  \n",
       "\n",
       "[1155 rows x 8 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## defining lower income bracket\n",
    "df_lower_salary_bracket = df[df['Salary'] <= 10000]\n",
    "\n",
    "# Reindex after the slice\n",
    "df_lower_salary_bracket = df_lower_salary_bracket.reset_index(drop=True)\n",
    "df_lower_salary_bracket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4bf75773",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Get all unique FLSA_Status: ['Non Exempt' 'Exempt' nan]\n",
      "==========================================================================================\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1155 entries, 0 to 1154\n",
      "Data columns (total 8 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Department           1155 non-null   object \n",
      " 1   Department_Division  1155 non-null   object \n",
      " 2   PCN                  1155 non-null   object \n",
      " 3   Position_Title       1155 non-null   object \n",
      " 4   FLSA_Status          1137 non-null   object \n",
      " 5   Initial_Hire_Date    1155 non-null   object \n",
      " 6   Date_in_Title        346 non-null    object \n",
      " 7   Salary               1155 non-null   float64\n",
      "dtypes: float64(1), object(7)\n",
      "memory usage: 72.3+ KB\n",
      "None\n",
      "==========================================================================================\n",
      "         count      mean       std  min   25%    50%    75%    max\n",
      "Salary  1155.0  14.25742  4.384736  0.0  11.5  13.33  15.72  51.99\n"
     ]
    }
   ],
   "source": [
    "print(f\"Get all unique FLSA_Status: {df_lower_salary_bracket['FLSA_Status'].unique()}\") ## contains all types of staff, I was interested in seeing if workers in this salary range are Non-exempt employees\n",
    "print(\"===\" * 30)\n",
    "print(df_lower_salary_bracket.info())\n",
    "print(\"===\" * 30)\n",
    "print(df_lower_salary_bracket.describe().T) ## summary statistics for lower income bracket"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58b7405c",
   "metadata": {},
   "source": [
    "Here we observe that in the lower income bracket, the mean salary is <$100. I suspect that most of the employees in the lower income bracket have their salary listed as hourly wage rather than annual wage. I want to re-examine the characteristics & distribution of employees in this income group with data visualizations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7ddbb588",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
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       "        define('plotly', function(require, exports, module) {\n",
       "            /**\n",
       "* plotly.js v2.12.1\n",
       "* Copyright 2012-2022, Plotly, Inc.\n",
       "* All rights reserved.\n",
       "* Licensed under the MIT license\n",
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       "/*!\n",
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       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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t[0]=s*(h*v-p*g)-f*(l*v-c*g)+m*(l*p-c*h),t[1]=-(n*(h*v-p*g)-f*(i*v-a*g)+m*(i*p-a*h)),t[2]=n*(l*v-c*g)-s*(i*v-a*g)+m*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*g)-u*(l*v-c*g)+d*(l*p-c*h)),t[5]=r*(h*v-p*g)-u*(i*v-a*g)+d*(i*p-a*h),t[6]=-(r*(l*v-c*g)-o*(i*v-a*g)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*m)-u*(s*v-c*m)+d*(s*p-c*f),t[9]=-(r*(f*v-p*m)-u*(n*v-a*m)+d*(n*p-a*f)),t[10]=r*(s*v-c*m)-o*(n*v-a*m)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*g-h*m)-u*(s*g-l*m)+d*(s*h-l*f)),t[13]=r*(f*g-h*m)-u*(n*g-i*m)+d*(n*h-i*f),t[14]=-(r*(s*g-l*m)-o*(n*g-i*m)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),m=t(\"detect-kerning\"),g=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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m?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,m):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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null!=hi.applyArabicShaping&&null!=hi.processBidirectionalText&&null!=hi.processStyledBidirectionalText},getPluginURL:function(){return oi}},pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new Gn,this.transition={})};pi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1){if(!Qn(n[r].charCodeAt(0),e))return!1}return!0}(t,hi.isLoaded())},pi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},pi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Br(t))return new Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var mi=function(t){this.property=t,this.value=new di(t,void 0)};mi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},mi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var gi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};gi.prototype.getValue=function(t){return x(this._values[t].value.value)},gi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},gi.prototype.getTransition=function(t){return x(this._values[t].transition)},gi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new mi(this._values[t].property)),this._values[t].transition=x(e)||void 0},gi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},gi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},gi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new mi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new gi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return g(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(g(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=m,this.uint32[x+10]=g,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=m,this.uint16[L+15]=g,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(ms(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var m=0,g=0;g<d.length;g++){var v=d[g];if(g>=1){var y=d[g-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);m+b>32768&&(m=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m),m+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,m=0,g=t;m<g.length;m+=1){for(var v=g[m],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),m=u*h-f*f,g=(h*p-f*d)/m,v=(u*d-f*p)/m,y=1-g-v,x=i.z*y+r.z*g+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,v=i;g<v.length;g+=1){var y=v[g],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=ms(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){g&&(m=g),u&&(p=u),u=t[v],g=d?d.sub(u)._unit()._perp():m;var y=(m=m||g).add(g);0===y.x&&0===y.y||y._unit();var x=m.x*g.x+m.y*g.y,b=y.x*g.x+y.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=g.mult(-1);else{var L=_*m.add(g).mag()/m.sub(g).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,m,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,g,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,h),this.addCurrentVertex(u,m,1,1,h,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,h,!0),this.addCurrentVertex(u,g,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new 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e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),m=d.x*p.x+d.y*p.y;d._mult(1/m),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,m=d.x+1,g=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:m,y:g-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:m,y:g+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:m-1,y:g},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:m+v,y:g},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){g=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,g,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,m=Math.max(G,m),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];g.x+=c,g.y+=u}})(t.positionedLines,g,Z,J,d,m,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,c,h,m),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function mc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function gc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,m){var g=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,m=p.positionedGlyphs;d<m.length;d+=1){var g=m[d];if(g.rect){var v=g.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&g.vertical,T=g.metrics.advance*g.scale/2;if(l&&e.verticalizable){var k=24*(g.scale-1),A=(24-g.metrics.width*g.scale)/2;_=p.lineOffset/2-(g.imageName?-A:k)}if(g.imageName){var M=s[g.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[g.x+T,g.y]:[0,0],E=a?[0,0]:[g.x+T+r[0],g.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(g.metrics.left-y)*g.scale-T+E[0],P=(-g.metrics.top-y)*g.scale+E[1],I=C+v.w*g.scale/b,O=P+v.h*g.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=g.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},m),128*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,g,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*g.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),m=0,g=t;m<g.length;m+=1){var v=g[m],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var m=s(p,d,f),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),m=this.glyphOffsetArray.length,g=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var v=t.get(g);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),m=0,g=d;m<g.length;m+=1){var v=g[m];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),m=0;m<f.length;m++){var g=f[m];if(!(a&&a.indexOf(g)<0)){var v=s[g];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),m=new su(p,l,c,u,d);m.tile=f,t.push(m)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=mo,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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g=(c+1)%2;(0===c?r-i<=d:n-i<=m)&&(o.push(f),o.push(p-1),o.push(g)),(0===c?r+i>=d:n+i>=m)&&(o.push(p+1),o.push(u),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var m=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,m,r,n,i);else if(\"LineString\"===h)lt(f,m,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,m,r,n,i,!1);else if(\"Polygon\"===h)ut(f,m,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var v=[];ut(f[g],v,r,n,i,!0),v.length&&m.push(v)}if(m.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<m.length;g++)l.push(Q(u.id,h,m[g],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===m.length?(h=\"LineString\",m=m[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===m.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,m,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=mt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(mt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(mt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function mt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function gt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,m=o&&h>1?this._map(c,!0):null,g=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(m||(m=this._map(c,!0)),o(m,this._map(b)))}}1===h?r.push(c):(c.parentId=g,r.push(V(p/h,d/h,g,h,m)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;m=g=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(m=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),g=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return gt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?gt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],m=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=m.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(h*h+m*m)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new mt(this),this.bindElementBuffer=new gt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],v=this.getTile(g);if(v&&v.hasData()){n[g.key]=g;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=m.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(m=this.getTile(_))&&x&&(m=this._addTile(_)),m&&(n[_.key]=_,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var v=g[m];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-g<t.EXTENT&&v[0].y-g<t.EXTENT&&v[1].x+g>=0&&v[1].y+g>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),m=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!g)ue(y.numGlyphs,h);else{g=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,m).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(f-1),g=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!g)return null;var v=le(t*m,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:g,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=r/24,v=e.lineOffsetX*g,y=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(g,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(le(g*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));m.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(g*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};m=[O]}for(var z=0,D=m;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=c)return null;if(y=v,w.push(v),void 0===(v=h[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[g]=k.point;else{var A=g-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=m+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,v=0,y=m;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[m+0],f[m+1],f[m+2],f[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var v=this.circles,y=0,x=g;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=te(m,o),v=ee(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(m,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,m,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var v=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,v)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),m=Qt(f,h,p,this.transform,d),g=null;if(h){var v=$t(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var m,g=[f.textOffset0,f.textOffset1],v=be(t,r,n,g,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(m=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,b,_,f,l,m,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,m.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,m.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new me(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],v=i.opacities[m];g?v=o:v||(v=p,i.opacities[m]=v),r[m]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var v=i[g].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][m];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)g(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var v=g[m],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:mr,symbolSDF:gr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var m=a.getActiveAttrib(this.program,d);m&&(this.attributes[m.name]=a.getAttribLocation(this.program,m.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<g;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m){var g,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[v.LINES]=2,g[v.TRIANGLES]=3,g[v.LINE_STRIP]=1,g)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),v=g.getBucket(n);if(v){var y=m.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<h.length;g++){var v=h.get(g),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(m[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=m[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,v=\"map\"===c,y=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==m.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,m.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,g,e.transform,q),Y=$t(M.posMatrix,v,g,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,v=n;g<v.length;g+=1){var y=v[g],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,m,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,m,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),v=g.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,m,f,g):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var m=r.fbo;if(!m){var g=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(m=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(m.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function mn(t){var e=t.transform.padding;gn(t,t.transform.height-(e.top||0),3,un),gn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function gn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,m=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,m),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,v=t.evaluateSizeForZoom(g,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],v=r.getTile(g),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,g,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,m,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",m=e.context,g=m.gl,v=!0;if(h){m.activeTexture.set(g.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(m,n.gradient,g.RGBA)),y.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(m.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m)),M.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,m=f;d<m.length;d+=1){var g=m[d],v=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[g.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),v=0,y=m;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},g):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&mn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,v=m.y,y=m.fullyVisible;if(!y){var x=m.aabb.intersects(s);if(0===x)continue;y=2===x}var b=m.aabb.distanceX(o),_=m.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-m.zoom)-2;if(m.zoom===h||w>T&&m.zoom>=l)f.push({tileID:new t.OverscaledTileID(m.zoom===h?p:m.zoom,m.wrap,m.zoom,g,v),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*h+m*p,v=l-Math.round(l)+d*p+m*h,y=new Float64Array(f);if(t.translate(y,y,[g>.5?g-1:g,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new oi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new jn(e));for(var g=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<v.length;g+=1){var y=v[g];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,h,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[h]=p)}}var g={};for(var v in this._previousActiveHandlers)o[v]||(g[v]=n);this._previousActiveHandlers=o,(Object.keys(g).length||vi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var m=this._eventsInProgress[d],g=m.handlerName,v=m.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new gi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(v<0||g<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(g,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var v,y,x=i.project(m),b=i.project(g).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),v=a.pointLocation(g),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");m.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(m);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(g),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function m(t){c(r&~n.buttons(t),t)}function g(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",m),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}g();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?g():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",m),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(h)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,m=p.after?p.after.ev:null;function g(){if(d){var t=u(h,d);if(t)return t}return!!m&&u(h,m)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!m&&m.seg);var v,y=g();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=m?m.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=m?h.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!m&&m.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(g=n[u])[0],h=(g[1],g[g.length-1]);g[g.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,m=s.matches_head,g=n[p],v=m?g[0]:g[g.length-1],y=m?g[1]:g[g.length-2],x=m?g[g.length-1]:g[0],b=m?g[g.length-2]:g[1];return e.pointsCollinear(y,v,d)&&(m?(r&&r.chainRemoveHead(s.index,d),g.shift()):(r&&r.chainRemoveTail(s.index,d),g.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(m?(r&&r.chainRemoveTail(s.index,v),g.pop()):(r&&r.chainRemoveHead(s.index,v),g.shift())),r&&r.chainClose(s.index),void i.push(g)):void(m?(r&&r.chainAddHead(s.index,d),g.unshift(d)):(r&&r.chainAddTail(s.index,d),g.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],m=h,g=0;g<c;g++,m+=u){var v=this.exif_format_read(l,m);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),m=s(t,l+r,i);e.item_loc[u]={length:m,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),m=t(\"parse-rect\"),g=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=m(t.viewport)),d.viewport||(d.viewport=m([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,\"float64\"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=g(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),g&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var g=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),g+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),g+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=m(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),g){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/m,w=y/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":346,\"object-assign\":247}],337:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":346,\"object-assign\":247}],338:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":346,\"object-assign\":247}],341:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":346,\"object-assign\":247}],344:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":346,\"object-assign\":247}],345:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),m=r.hoverlabel||{};if(d){var g=a(\"hoverlabel.bgcolor\",m.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",m.bordercolor||i.contrast(g));n.coerceFont(a,\"hoverlabel.font\",{family:m.font.family,size:m.font.size,color:m.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var m=f[d],g=i.coerceRef(t,e,p,m,\"\",\"paper\");if(\"paper\"!==g)i.getFromId(p,g)._annIndices.push(e._index);if(i.coercePosition(e,p,a,g,m,.5),u){var v=\"a\"+m,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==g&&(y=e[v]=\"pixel\");var 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r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=m(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),m=u.bBox((f?n:G).node()),b=m.width,_=m.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var mt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(mt=1-mt),ft.tail=it._offset+it._length*mt):\"paper\"===gt?\"y\"===et?(mt=1-mt,ft.tail=T.t+T.h*mt):ft.tail=T.l+T.w*mt:ft.tail=it._offset+it.r2p(mt),K=tt}else ft.tail=J+mt,K=tt+mt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-m.top,Tt=N+bt-m.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,m=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,m,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=m-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(g(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=m.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),m=t(\"../titles\"),g=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),mt=0,gt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),m.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),m=15.6;if(f.node()&&(m=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),gt=a.width,(mt=a.height)>m&&(h[1]-=(mt-m)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),gt=a.width,mt=a.height),o){if(mt){if(mt+=5,\"top\"===j)it.domain[1]-=mt/R.h,h[1]*=-1;else{it.domain[0]+=mt/R.h;var v=g.lineCount(f);h[1]+=(1-v)*m}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else gt&&(\"right\"===j&&(it.domain[0]+=(gt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,m=!o&&\"right\"===j,g=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,g=n.height)),m&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,g+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=g;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+g-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=m?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?mt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+mt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-g))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var m=d[0];i(m.x0)&&i(m.y0)&&(h=ht(m),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,mt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=mt;var gt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};gt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,gt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function m(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var g=p[o],v=p[o+1],y=g[g.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(g.push.apply(g,v),p.splice(o+1,1),c=0,s=g.length-1;s>=0;s--)c+=g[s].dp;for(a=c/g.length,s=g.length-1;s>=0;s--)g[s].dp-=a;n=!1}else o++}p.forEach(m)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),m=t.trace;if(g.traceIs(m,\"gl3d\")){var v=i._fullLayout[m.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,m=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,m),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),m={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,m).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var g,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),g=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;g<b?(g=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):g>i.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-g+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,m),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(g,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),m=d.LINE_SPACING,g=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},u.drawcircle={name:\"drawcircle\",title:function(t){return c(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},u.eraseshape={name:\"eraseshape\",title:function(t){return c(t,\"Erase active shape\")},icon:o.eraseshape,click:s},u.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},u.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},u.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return c(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},u.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return c(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},u.tableRotation={name:\"tableRotation\",title:function(t){return c(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},u.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return c(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},u.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return c(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},u.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},u.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},u.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m},u.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return c(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:m},u.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:v},u.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return c(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:y}},{\"../../fonts/ploticon\":482,\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../plots/plots\":619,\"../../registry\":638,\"../shapes/draw\":450}],427:[function(t,e,r){\"use strict\";var n=t(\"./buttons\"),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{\"./buttons\":426}],428:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES,u=t(\"../../lib\").extendDeep;e.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=u([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),m=e._has(\"cartesian\"),g=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(m||b||y||x||_)+v+g+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];m&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!m&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(m||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e})(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==c.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},{\"../../lib\":503,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../../traces/scatter/subtypes\":952,\"../fx/helpers\":402,\"./buttons\":426,\"./constants\":427,\"./modebar\":431}],431:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../lib\"),o=t(\"../../fonts/ploticon\"),s=t(\"../../version\").version,l=new DOMParser;function c(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var u=c.prototype;u.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},u.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*m[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*m[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return 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t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var 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n=t(\"@plotly/d3\"),i=t(\"d3-time-format\").utcFormat,a=t(\"d3-format\").format,o=t(\"fast-isnumeric\"),s=t(\"../constants/numerical\"),l=s.FP_SAFE,c=-l,u=s.BADNUM,f=e.exports={};f.adjustFormat=function(t){return!t||/^\\d[.]\\df/.test(t)||/[.]\\d%/.test(t)?t:\"0.f\"===t?\"~f\":/^\\d%/.test(t)?\"~%\":/^\\ds/.test(t)?\"~s\":!/^[~,.0$]/.test(t)&&/[&fps]/.test(t)?\"~\"+t:t};var h={};f.warnBadFormat=function(t){var e=String(t);h[e]||(h[e]=1,f.warn('encountered bad format: \"'+e+'\"'))},f.noFormat=function(t){return String(t)},f.numberFormat=function(t){var e;try{e=a(f.adjustFormat(t))}catch(e){return f.warnBadFormat(t),f.noFormat}return e},f.nestedProperty=t(\"./nested_property\"),f.keyedContainer=t(\"./keyed_container\"),f.relativeAttr=t(\"./relative_attr\"),f.isPlainObject=t(\"./is_plain_object\"),f.toLogRange=t(\"./to_log_range\"),f.relinkPrivateKeys=t(\"./relink_private\");var 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b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},m._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),m._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),u.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return r.addFrames(t,s)},function e(){for(var 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u=e._clips.selectAll(\".axesclip\").data(c,(function(t){return t.x._id+t.y._id}));u.enter().append(\"clipPath\").classed(\"axesclip\",!0).attr(\"id\",(function(t){return\"clip\"+e._uid+t.x._id+t.y._id})).append(\"rect\"),u.exit().remove(),u.each((function(t){n.select(this).select(\"rect\").attr({x:t.x._offset||0,y:t.y._offset||0,width:t.x._length||1,height:t.y._length||1})}))}},H.draw=function(t,e,r){var n=t._fullLayout;\"redraw\"===e&&n._paper.selectAll(\"g.subplot\").each((function(t){var e=t[0],r=n._plots[e];if(r){var i=r.xaxis,a=r.yaxis;r.xaxislayer.selectAll(\".\"+i._id+\"tick\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"tick2\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"tick2\").remove(),r.xaxislayer.selectAll(\".\"+i._id+\"divider\").remove(),r.yaxislayer.selectAll(\".\"+a._id+\"divider\").remove(),r.minorGridlayer&&r.minorGridlayer.selectAll(\"path\").remove(),r.gridlayer&&r.gridlayer.selectAll(\"path\").remove(),r.zerolinelayer&&r.zerolinelayer.selectAll(\"path\").remove(),n._infolayer.select(\".g-\"+i._id+\"title\").remove(),n._infolayer.select(\".g-\"+a._id+\"title\").remove()}}));var i=e&&\"redraw\"!==e?e:H.listIds(t);return s.syncOrAsync(i.map((function(e){return function(){if(e){var n=H.getFromId(t,e),i=H.drawOne(t,n,r);return n._r=n.range.slice(),n._rl=s.simpleMap(n._r,n.r2l),i}}})))},H.drawOne=function(t,e,r){var n,i,l;r=r||{},e.setScale();var c=t._fullLayout,p=e._id,d=p.charAt(0),m=H.counterLetter(p),g=c._plots[e._mainSubplot];if(g){var v=g[d+\"axislayer\"],y=e._mainLinePosition,x=e._mainMirrorPosition,b=e._vals=H.calcTicks(e),_=[e.mirror,y,x].join(\"_\");for(n=0;n<b.length;n++)b[n].axInfo=_;e._selections={},e._tickAngles&&(e._prevTickAngles=e._tickAngles),e._tickAngles={},e._depth=null;var w={};if(e.visible){var T,k,A=H.makeTransTickFn(e),M=H.makeTransTickLabelFn(e),S=\"inside\"===e.ticks,E=\"outside\"===e.ticks;if(\"boundaries\"===e.tickson){var L=function(t,e){var r,n=[],i=function(t,e){var r=t.xbnd[e];null!==r&&n.push(s.extendFlat({},t,{x:r}))};if(e.length){for(r=0;r<e.length;r++)i(e[r],0);i(e[r-1],1)}return n}(0,b);k=H.clipEnds(e,L),T=S?k:L}else k=H.clipEnds(e,b),T=S&&\"period\"!==e.ticklabelmode?k:b;var C,P=e._gridVals=k,I=function(t,e){var r,n,i=[],a=e.length&&e[e.length-1].x<e[0].x,o=function(t,e){var r=t.xbnd[e];null!==r&&i.push(s.extendFlat({},t,{x:r}))};if(t.showdividers&&e.length){for(r=0;r<e.length;r++){var l=e[r];l.text2!==n&&o(l,a?1:0),n=l.text2}o(e[r-1],a?0:1)}return i}(e,b);if(!c._hasOnlyLargeSploms){var O=e._subplotsWith,z={};for(n=0;n<O.length;n++){i=O[n];var D=(l=c._plots[i])[m+\"axis\"],R=D._mainAxis._id;if(!z[R]){z[R]=1;var F=\"x\"===d?\"M0,\"+D._offset+\"v\"+D._length:\"M\"+D._offset+\",0h\"+D._length;H.drawGrid(t,e,{vals:P,counterAxis:D,layer:l.gridlayer.select(\".\"+p),minorLayer:l.minorGridlayer.select(\".\"+p),path:F,transFn:A}),H.drawZeroLine(t,e,{counterAxis:D,layer:l.zerolinelayer,path:F,transFn:A})}}}var B=H.getTickSigns(e),N=H.getTickSigns(e,\"minor\");if(e.ticks||e.minor&&e.minor.ticks){var j,q,G,Y,W=H.makeTickPath(e,y,B[2]),X=H.makeTickPath(e,y,N[2],{minor:!0});if(e._anchorAxis&&e.mirror&&!0!==e.mirror?(j=H.makeTickPath(e,x,B[3]),q=H.makeTickPath(e,x,N[3],{minor:!0}),G=W+j,Y=X+q):(j=\"\",q=\"\",G=W,Y=X),e.showdividers&&E&&\"boundaries\"===e.tickson){var Z={};for(n=0;n<I.length;n++)Z[I[n].x]=1;C=function(t){return Z[t.x]?j:G}}else C=function(t){return t.minor?Y:G}}if(H.drawTicks(t,e,{vals:T,layer:v,path:C,transFn:A}),\"allticks\"===e.mirror){var J=Object.keys(e._linepositions||{});for(n=0;n<J.length;n++){i=J[n],l=c._plots[i];var K=e._linepositions[i]||[],Q=K[0],$=K[1],tt=K[2],et=H.makeTickPath(e,Q,tt?B[0]:N[0],{minor:tt})+H.makeTickPath(e,$,tt?B[1]:N[1],{minor:tt});H.drawTicks(t,e,{vals:T,layer:l[d+\"axislayer\"],path:et,transFn:A})}}var rt=[];if(rt.push((function(){return H.drawLabels(t,e,{vals:b,layer:v,plotinfo:l,transFn:M,labelFns:H.makeLabelFns(e,y)})})),\"multicategory\"===e.type){var nt={x:2,y:10}[d];rt.push((function(){var r={x:\"height\",y:\"width\"}[d],n=at()[r]+nt+(e._tickAngles[p+\"tick\"]?e.tickfont.size*U:0);return H.drawLabels(t,e,{vals:vt(e,b),layer:v,cls:p+\"tick2\",repositionOnUpdate:!0,secondary:!0,transFn:A,labelFns:H.makeLabelFns(e,y+n*B[4])})})),rt.push((function(){return e._depth=B[4]*(at(\"tick2\")[e.side]-y),function(t,e,r){var n=e._id+\"divider\",i=r.vals,a=r.layer.selectAll(\"path.\"+n).data(i,xt);a.exit().remove(),a.enter().insert(\"path\",\":first-child\").classed(n,1).classed(\"crisp\",1).call(f.stroke,e.dividercolor).style(\"stroke-width\",h.crispRound(t,e.dividerwidth,1)+\"px\"),a.attr(\"transform\",r.transFn).attr(\"d\",r.path)}(t,e,{vals:I,layer:v,path:H.makeTickPath(e,y,B[4],{len:e._depth}),transFn:A})}))}else e.title.hasOwnProperty(\"standoff\")&&rt.push((function(){e._depth=B[4]*(at()[e.side]-y)}));var it=o.getComponentMethod(\"rangeslider\",\"isVisible\")(e);return rt.push((function(){var r,n,i,s,l=e.side.charAt(0),u=V[e.side].charAt(0),f=H.getPxPosition(t,e),h=E?e.ticklen:0;if((e.automargin||it)&&(\"multicategory\"===e.type?r=at(\"tick2\"):(r=at(),\"x\"===d&&\"b\"===l&&(e._depth=Math.max(r.width>0?r.bottom-f:0,h)))),e.automargin){n={x:0,y:0,r:0,l:0,t:0,b:0};var p=[0,1];if(\"x\"===d){if(\"b\"===l?n[l]=e._depth:(n[l]=e._depth=Math.max(r.width>0?f-r.top:0,h),p.reverse()),r.width>0){var g=r.right-(e._offset+e._length);g>0&&(n.xr=1,n.r=g);var v=e._offset-r.left;v>0&&(n.xl=0,n.l=v)}}else if(\"l\"===l?n[l]=e._depth=Math.max(r.height>0?f-r.left:0,h):(n[l]=e._depth=Math.max(r.height>0?r.right-f:0,h),p.reverse()),r.height>0){var y=r.bottom-(e._offset+e._length);y>0&&(n.yb=0,n.b=y);var x=e._offset-r.top;x>0&&(n.yt=1,n.t=x)}n[m]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[p[0]],e.title.text!==c._dfltTitle[d]&&(n[l]+=bt(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=h),!0===e.mirror||\"ticks\"===e.mirror?i[m]=e._anchorAxis.domain[p[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[m]=[e._counterDomainMin,e._counterDomainMax][p[1]]))}it&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),a.autoMargin(t,Tt(e),n),a.autoMargin(t,kt(e),i),a.autoMargin(t,At(e),s)})),r.skipTitle||it&&\"bottom\"===e.side||rt.push((function(){return function(t,e){var r,n=t._fullLayout,i=e._id,a=i.charAt(0),o=e.title.font.size;if(e.title.hasOwnProperty(\"standoff\"))r=e._depth+e.title.standoff+bt(e);else{var s=Pt(e);if(\"multicategory\"===e.type)r=e._depth;else{var l=1.5*o;s&&(l=.5*o,\"outside\"===e.ticks&&(l+=e.ticklen)),r=10+l+(e.linewidth?e.linewidth-1:0)}s||(r+=\"x\"===a?\"top\"===e.side?o*(e.showticklabels?1:0):o*(e.showticklabels?1.5:.5):\"right\"===e.side?o*(e.showticklabels?1:.5):o*(e.showticklabels?.5:0))}var c,f,p,d,m=H.getPxPosition(t,e);\"x\"===a?(f=e._offset+e._length/2,p=\"top\"===e.side?m-r:m+r):(p=e._offset+e._length/2,f=\"right\"===e.side?m+r:m-r,c={rotate:\"-90\",offset:0});if(\"multicategory\"!==e.type){var g=e._selections[e._id+\"tick\"];if(d={selection:g,side:e.side},g&&g.node()&&g.node().parentNode){var v=h.getTranslate(g.node().parentNode);d.offsetLeft=v.x,d.offsetTop=v.y}e.title.hasOwnProperty(\"standoff\")&&(d.pad=0)}return u.draw(t,i+\"title\",{propContainer:e,propName:e._name+\".title.text\",placeholder:n._dfltTitle[a],avoid:d,transform:c,attributes:{x:f,y:p,\"text-anchor\":\"middle\"}})}(t,e)})),s.syncOrAsync(rt)}}function at(t){var r=p+(t||\"tick\");return w[r]||(w[r]=function(t,e){var r,n,i,a;t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var t=wt(this),e=h.bBox(t.node().parentNode);r=Math.min(r,e.top),n=Math.max(n,e.bottom),i=Math.min(i,e.left),a=Math.max(a,e.right)}))):(r=0,n=0,i=0,a=0);return{top:r,bottom:n,left:i,right:a,height:n-r,width:a-i}}(e,r)),w[r]}},H.getTickSigns=function(t,e){var r=t._id.charAt(0),n={x:\"top\",y:\"right\"}[r],i=t.side===n?1:-1,a=[-1,1,i,-i];return\"inside\"!==(e?(t.minor||{}).ticks:t.ticks)==(\"x\"===r)&&(a=a.map((function(t){return-t}))),t.side&&a.push({l:-1,t:-1,r:1,b:1}[t.side.charAt(0)]),a},H.makeTransTickFn=function(t){return\"x\"===t._id.charAt(0)?function(e){return l(t._offset+t.l2p(e.x),0)}:function(e){return l(0,t._offset+t.l2p(e.x))}},H.makeTransTickLabelFn=function(t){var e=function(t){var e=t.ticklabelposition||\"\",r=function(t){return-1!==e.indexOf(t)},n=r(\"top\"),i=r(\"left\"),a=r(\"right\"),o=r(\"bottom\"),s=r(\"inside\"),l=o||i||n||a;if(!l&&!s)return[0,0];var c=t.side,u=l?(t.tickwidth||0)/2:0,f=3,h=t.tickfont?t.tickfont.size:12;(o||n)&&(u+=h*j,f+=(t.linewidth||0)/2);(i||a)&&(u+=(t.linewidth||0)/2,f+=3);s&&\"top\"===c&&(f-=h*(1-j));(i||n)&&(u=-u);\"bottom\"!==c&&\"right\"!==c||(f=-f);return[l?u:0,s?f:0]}(t),r=e[0],n=e[1];return\"x\"===t._id.charAt(0)?function(e){return l(r+t._offset+t.l2p(yt(e)),n)}:function(e){return l(n,r+t._offset+t.l2p(yt(e)))}},H.makeTickPath=function(t,e,r,n){n||(n={});var i=n.minor;if(i&&!t.minor)return\"\";var a=void 0!==n.len?n.len:i?t.minor.ticklen:t.ticklen,o=t._id.charAt(0),s=(t.linewidth||1)/2;return\"x\"===o?\"M0,\"+(e+s*r)+\"v\"+a*r:\"M\"+(e+s*r)+\",0h\"+a*r},H.makeLabelFns=function(t,e,r){var n=t.ticklabelposition||\"\",a=function(t){return-1!==n.indexOf(t)},o=a(\"top\"),l=a(\"left\"),c=a(\"right\"),u=a(\"bottom\")||l||o||c,f=a(\"inside\"),h=\"inside\"===n&&\"inside\"===t.ticks||!f&&\"outside\"===t.ticks&&\"boundaries\"!==t.tickson,p=0,d=0,m=h?t.ticklen:0;if(f?m*=-1:u&&(m=0),h&&(p+=m,r)){var g=s.deg2rad(r);p=m*Math.cos(g)+1,d=m*Math.sin(g)}t.showticklabels&&(h||t.showline)&&(p+=.2*t.tickfont.size);var v,y,x,b,_,w={labelStandoff:p+=(t.linewidth||1)/2*(f?-1:1),labelShift:d},T=0,k=t.side,A=t._id.charAt(0),M=t.tickangle;if(\"x\"===A)b=(_=!f&&\"bottom\"===k||f&&\"top\"===k)?1:-1,f&&(b*=-1),v=d*b,y=e+p*b,x=_?1:-.2,90===Math.abs(M)&&(f?x+=N:x=-90===M&&\"bottom\"===k?j:90===M&&\"top\"===k?N:.5,T=N/2*(M/90)),w.xFn=function(t){return t.dx+v+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*x},w.anchorFn=function(t,e){if(u){if(l)return\"end\";if(c)return\"start\"}return i(e)&&0!==e&&180!==e?e*b<0!==f?\"end\":\"start\":\"middle\"},w.heightFn=function(e,r,n){return r<-60||r>60?-.5*n:\"top\"===t.side!==f?-n:0};else if(\"y\"===A){if(b=(_=!f&&\"left\"===k||f&&\"right\"===k)?1:-1,f&&(b*=-1),v=p,y=d*b,x=0,f||90!==Math.abs(M)||(x=-90===M&&\"left\"===k||90===M&&\"right\"===k?j:.5),f){var S=i(M)?+M:0;if(0!==S){var E=s.deg2rad(S);T=Math.abs(Math.sin(E))*j*b,x=0}}w.xFn=function(t){return t.dx+e-(v+t.fontSize*x)*b+T*t.fontSize},w.yFn=function(t){return t.dy+y+t.fontSize*N},w.anchorFn=function(t,e){return i(e)&&90===Math.abs(e)?\"middle\":_?\"end\":\"start\"},w.heightFn=function(e,r,n){return\"right\"===t.side&&(r*=-1),r<-30?-n:r<30?-.5*n:0}}return w},H.drawTicks=function(t,e,r){r=r||{};var i=e._id+\"tick\",a=[].concat(e.minor&&e.minor.ticks?r.vals.filter((function(t){return t.minor&&!t.noTick})):[]).concat(e.ticks?r.vals.filter((function(t){return!t.minor&&!t.noTick})):[]),o=r.layer.selectAll(\"path.\"+i).data(a,xt);o.exit().remove(),o.enter().append(\"path\").classed(i,1).classed(\"ticks\",1).classed(\"crisp\",!1!==r.crisp).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.tickcolor:e.tickcolor)})).style(\"stroke-width\",(function(r){return h.crispRound(t,r.minor?e.minor.tickwidth:e.tickwidth,1)+\"px\"})).attr(\"d\",r.path).style(\"display\",null),It(e,[R]),o.attr(\"transform\",r.transFn)},H.drawGrid=function(t,e,r){r=r||{};var i=e._id+\"grid\",a=e.minor&&e.minor.showgrid,o=a?r.vals.filter((function(t){return t.minor})):[],s=e.showgrid?r.vals.filter((function(t){return!t.minor})):[],l=r.counterAxis;if(l&&H.shouldShowZeroLine(t,e,l))for(var c=\"array\"===e.tickmode,u=0;u<s.length;u++){var p=s[u].x;if(c?!p:Math.abs(p)<e.dtick/100){if(s=s.slice(0,u).concat(s.slice(u+1)),!c)break;u--}}e._gw=h.crispRound(t,e.gridwidth,1);for(var d=a?h.crispRound(t,e.minor.gridwidth,1):0,m=r.layer,g=r.minorLayer,v=1;v>=0;v--){var y=v?m:g;if(y){var x=y.selectAll(\"path.\"+i).data(v?s:o,xt);x.exit().remove(),x.enter().append(\"path\").classed(i,1).classed(\"crisp\",!1!==r.crisp),x.attr(\"transform\",r.transFn).attr(\"d\",r.path).each((function(t){return f.stroke(n.select(this),t.minor?e.minor.gridcolor:e.gridcolor||\"#ddd\")})).style(\"stroke-dasharray\",(function(t){return h.dashStyle(t.minor?e.minor.griddash:e.griddash,t.minor?e.minor.gridwidth:e.gridwidth)})).style(\"stroke-width\",(function(t){return(t.minor?d:e._gw)+\"px\"})).style(\"display\",null),\"function\"==typeof r.path&&x.attr(\"d\",r.path)}}It(e,[z,D])},H.drawZeroLine=function(t,e,r){r=r||r;var n=e._id+\"zl\",i=H.shouldShowZeroLine(t,e,r.counterAxis),a=r.layer.selectAll(\"path.\"+n).data(i?[{x:0,id:e._id}]:[]);a.exit().remove(),a.enter().append(\"path\").classed(n,1).classed(\"zl\",1).classed(\"crisp\",!1!==r.crisp).each((function(){r.layer.selectAll(\"path\").sort((function(t,e){return Y(t.id,e.id)}))})),a.attr(\"transform\",r.transFn).attr(\"d\",r.path).call(f.stroke,e.zerolinecolor||f.defaultLine).style(\"stroke-width\",h.crispRound(t,e.zerolinewidth,e._gw||1)+\"px\").style(\"display\",null),It(e,[O])},H.drawLabels=function(t,e,r){r=r||{};var a=t._fullLayout,o=e._id,u=o.charAt(0),f=r.cls||o+\"tick\",p=r.vals.filter((function(t){return t.text})),d=r.labelFns,m=r.secondary?0:e.tickangle,g=(e._prevTickAngles||{})[f],v=r.layer.selectAll(\"g.\"+f).data(e.showticklabels?p:[],xt),y=[];function x(t,a){t.each((function(t){var o=n.select(this),s=o.select(\".text-math-group\"),u=d.anchorFn(t,a),f=r.transFn.call(o.node(),t)+(i(a)&&0!=+a?\" rotate(\"+a+\",\"+d.xFn(t)+\",\"+(d.yFn(t)-t.fontSize/2)+\")\":\"\"),p=c.lineCount(o),m=U*t.fontSize,g=d.heightFn(t,i(a)?+a:0,(p-1)*m);if(g&&(f+=l(0,g)),s.empty()){var v=o.select(\"text\");v.attr({transform:f,\"text-anchor\":u}),v.style(\"opacity\",1),e._adjustTickLabelsOverflow&&e._adjustTickLabelsOverflow()}else{var y=h.bBox(s.node()).width*{end:-.5,start:.5}[u];s.attr(\"transform\",f+l(y,0))}}))}v.enter().append(\"g\").classed(f,1).append(\"text\").attr(\"text-anchor\",\"middle\").each((function(e){var r=n.select(this),i=t._promises.length;r.call(c.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(c.convertToTspans,t),t._promises[i]?y.push(t._promises.pop().then((function(){x(r,m)}))):x(r,m)})),It(e,[F]),v.exit().remove(),r.repositionOnUpdate&&v.each((function(t){n.select(this).select(\"text\").call(c.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,c=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var u=s.simpleMap(e.range,e.r2l);l=e.l2p(u[0])+e._offset,c=e.l2p(u[1])+e._offset}var f=Math.min(l,c),p=Math.max(l,c),d=e.side,m=1/0,g=-1/0;for(var y in v.each((function(t){var 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o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===O.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===D.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===z.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var a=n.select(this);t.L&&(a=a.selectAll(t.L)),a.each((function(a){var s=e.l2p(o?yt(a):a.x)+e._offset,l=n.select(this);s<e[\"_visibleLabelMax_\"+r._id]&&s>e[\"_visibleLabelMin_\"+r._id]?l.style(\"display\",\"none\"):\"tick\"!==t.K||i||l.style(\"display\",null)}))}))}))}))},x(v,g+1?g:m);var b=null;e._selections&&(e._selections[f]=v);var _=[function(){return y.length&&Promise.all(y)}];e.automargin&&a._redrawFromAutoMarginCount&&90===g?(b=90,_.push((function(){x(v,g)}))):_.push((function(){if(x(v,m),p.length&&\"x\"===u&&!i(m)&&(\"log\"!==e.type||\"D\"!==String(e.dtick).charAt(0))){b=0;var t,n=0,a=[];if(v.each((function(t){n=Math.max(n,t.fontSize);var 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n=t(\"fast-isnumeric\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../../plot_api/plot_template\"),s=t(\"../array_container_defaults\"),l=t(\"./layout_attributes\"),c=t(\"./tick_value_defaults\"),u=t(\"./tick_mark_defaults\"),f=t(\"./tick_label_defaults\"),h=t(\"./prefix_suffix_defaults\"),p=t(\"./category_order_defaults\"),d=t(\"./line_grid_defaults\"),m=t(\"./set_convert\"),g=t(\"./constants\").WEEKDAY_PATTERN,v=t(\"./constants\").HOUR_PATTERN;function y(t,e,r){function i(r,n){return a.coerce(t,e,l.rangebreaks,r,n)}if(i(\"enabled\")){var o=i(\"bounds\");if(o&&o.length>=2){var s,c,u=\"\";if(2===o.length)for(s=0;s<2;s++)if(c=b(o[s])){u=g;break}var f=i(\"pattern\",u);if(f===g)for(s=0;s<2;s++)(c=b(o[s]))&&(e.bounds[s]=o[s]=c-1);if(f)for(s=0;s<2;s++)switch(c=o[s],f){case g:if(!n(c))return void(e.enabled=!1);if((c=+c)!==Math.floor(c)||c<0||c>=7)return void(e.enabled=!1);e.bounds[s]=o[s]=c;break;case v:if(!n(c))return void(e.enabled=!1);if((c=+c)<0||c>24)return 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),yt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":y(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,y(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=Ot,y(a)&&It(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(mt,kt,Q,$,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(mt,Q,$)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;y(r)||(yt(),Yt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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r,n,a,o,s=t._fullLayout,c=s._plots,u=s._subplots.cartesian;if(ut&&l.subplotsRegistry.splom.drag(t),ct)for(r=0;r<u.length;r++)if(a=(n=c[u[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ut||ct)&&(_(t),w(t)),ft){var d=e[2]/I._length,g=e[3]/O._length;for(r=0;r<u.length;r++){a=(n=c[u[r]]).xaxis,o=n.yaxis;var y,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(y=d,b=v||nt.isSubplotConstrained?e[0]:Zt(a,y)):nt.xaHash[a._id]?(y=d,b=e[0]*a._length/I._length):nt.yaHash[a._id]?(y=g,b=\"ns\"===at?-e[1]*a._length/O._length:Zt(a,y,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,y=Wt(a,d,g)),A?(x=g,T=m||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/O._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/I._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Wt(o,d,g)),y||x){y||(y=1),x||(x=1);var M=a._offset-b/y,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,y,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,y,x),h.setTextPointsScale(n.zoomScaleTxt,y,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Wt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return m.length*v.length!=1&&W(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(It(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();yt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(v||(s=.5),n=0;n<J.length;n++)c(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(m||(l=.5),n=0;n<K.length;n++)c(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Yt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:O,makeRectDragger:z,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:W}},{\"../../components/color\":366,\"../../components/dragelement\":385,\"../../components/dragelement/helpers\":384,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/clear_gl_canvases\":487,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/subroutines\":544,\"../../registry\":638,\"../plots\":619,\"./axes\":554,\"./axis_ids\":558,\"./constants\":561,\"./scale_zoom\":574,\"./select\":575,\"@plotly/d3\":58,\"has-passive-events\":229,tinycolor2:312}],564:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/fx\"),a=t(\"../../components/dragelement\"),o=t(\"../../lib/setcursor\"),s=t(\"./dragbox\").makeDragBox,l=t(\"./constants\").DRAGGERSIZE;r.initInteractions=function(t){var e=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(e._has(\"cartesian\")||e._has(\"splom\")){Object.keys(e._plots||{}).sort((function(t,r){if((e._plots[t].mainplot&&!0)===(e._plots[r].mainplot&&!0)){var n=t.split(\"y\"),i=r.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return e._plots[t].mainplot?1:-1})).forEach((function(r){var n=e._plots[r],o=n.xaxis,c=n.yaxis;if(!n.mainplot){var u=s(t,n,o._offset,c._offset,o._length,c._length,\"ns\",\"ew\");u.onmousemove=function(e){t._fullLayout._rehover=function(){t._fullLayout._hoversubplot===r&&t._fullLayout._plots[r]&&i.hover(t,e,r)},i.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,a.unhover(t,e))},t._context.showAxisDragHandles&&(s(t,n,o._offset-l,c._offset-l,l,l,\"n\",\"w\"),s(t,n,o._offset+o._length,c._offset-l,l,l,\"n\",\"e\"),s(t,n,o._offset-l,c._offset+c._length,l,l,\"s\",\"w\"),s(t,n,o._offset+o._length,c._offset+c._length,l,l,\"s\",\"e\"))}if(t._context.showAxisDragHandles){if(r===o._mainSubplot){var f=o._mainLinePosition;\"top\"===o.side&&(f-=l),s(t,n,o._offset+.1*o._length,f,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,f,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,f,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var h=c._mainLinePosition;\"right\"!==c.side&&(h-=l),s(t,n,h,c._offset+.1*c._length,l,.8*c._length,\"ns\",\"\"),s(t,n,h,c._offset+.9*c._length,l,.1*c._length,\"s\",\"\"),s(t,n,h,c._offset,l,.1*c._length,\"n\",\"\")}}}));var o=e._hoverlayer.node();o.onmousemove=function(r){r.target=t._fullLayout._lasthover,i.hover(t,r,e._hoversubplot)},o.onclick=function(e){e.target=t._fullLayout._lasthover,i.click(t,e)},o.onmousedown=function(e){t._fullLayout._lasthover.onmousedown(e)},r.updateFx(t)}},r.updateFx=function(t){var e=t._fullLayout,r=\"pan\"===e.dragmode?\"move\":\"crosshair\";o(e._draggers,r)}},{\"../../components/dragelement\":385,\"../../components/fx\":406,\"../../lib/setcursor\":524,\"./constants\":561,\"./dragbox\":563,\"@plotly/d3\":58}],565:[function(t,e,r){\"use strict\";e.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearSelect:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._drawing=!1}}},{}],566:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}e.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},{\"../../lib\":503}],567:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"./axis_ids\");e.exports=function(t){return function(e,r){var o=e[t];if(Array.isArray(o))for(var s=n.subplotsRegistry.cartesian,l=s.idRegex,c=r._subplots,u=c.xaxis,f=c.yaxis,h=c.cartesian,p=r._has(\"cartesian\")||r._has(\"gl2d\"),d=0;d<o.length;d++){var m=o[d];if(i.isPlainObject(m)){var g=a.cleanId(m.xref,\"x\",!1),v=a.cleanId(m.yref,\"y\",!1),y=l.x.test(g),x=l.y.test(v);if(y||x){p||i.pushUnique(r._basePlotModules,s);var b=!1;y&&-1===u.indexOf(g)&&(u.push(g),b=!0),x&&-1===f.indexOf(v)&&(f.push(v),b=!0),b&&y&&x&&h.push(g+v)}}}}}},{\"../../lib\":503,\"../../registry\":638,\"./axis_ids\":558}],568:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../lib\"),o=t(\"../plots\"),s=t(\"../../components/drawing\"),l=t(\"../get_data\").getModuleCalcData,c=t(\"./axis_ids\"),u=t(\"./constants\"),f=t(\"../../constants/xmlns_namespaces\"),h=a.ensureSingle;function p(t,e,r){return a.ensureSingle(t,e,r,(function(t){t.datum(r)}))}function d(t,e,r,a,o){for(var c,f,h,p=u.traceLayerClasses,d=t._fullLayout,m=d._modules,g=[],v=[],y=0;y<m.length;y++){var x=(c=m[y]).name,b=i.modules[x].categories;if(b.svg){var _=c.layerName||x+\"layer\",w=c.plot;h=(f=l(r,w))[0],r=f[1],h.length&&g.push({i:p.indexOf(_),className:_,plotMethod:w,cdModule:h}),b.zoomScale&&v.push(\".\"+_)}}g.sort((function(t,e){return t.i-e.i}));var T=e.plot.selectAll(\"g.mlayer\").data(g,(function(t){return t.className}));if(T.enter().append(\"g\").attr(\"class\",(function(t){return t.className})).classed(\"mlayer\",!0).classed(\"rangeplot\",e.isRangePlot),T.exit().remove(),T.order(),T.each((function(r){var i=n.select(this),l=r.className;r.plotMethod(t,e,r.cdModule,i,a,o),-1===u.clipOnAxisFalseQuery.indexOf(\".\"+l)&&s.setClipUrl(i,e.layerClipId,t)})),d._has(\"scattergl\")&&(c=i.getModule(\"scattergl\"),h=l(r,c)[0],c.plot(t,e,h)),!t._context.staticPlot&&(e._hasClipOnAxisFalse&&(e.clipOnAxisFalseTraces=e.plot.selectAll(u.clipOnAxisFalseQuery.join(\",\")).selectAll(\".trace\")),v.length)){var k=e.plot.selectAll(v.join(\",\")).selectAll(\".trace\");e.zoomScalePts=k.selectAll(\"path.point\"),e.zoomScaleTxt=k.selectAll(\".textpoint\")}}function m(t,e){var r=e.plotgroup,n=e.id,i=u.layerValue2layerClass[e.xaxis.layer],a=u.layerValue2layerClass[e.yaxis.layer],o=t._fullLayout._hasOnlyLargeSploms;if(e.mainplot){var s=e.mainplotinfo,l=s.plotgroup,f=n+\"-x\",d=n+\"-y\";e.minorGridlayer=s.minorGridlayer,e.gridlayer=s.gridlayer,e.zerolinelayer=s.zerolinelayer,h(s.overlinesBelow,\"path\",f),h(s.overlinesBelow,\"path\",d),h(s.overaxesBelow,\"g\",f),h(s.overaxesBelow,\"g\",d),e.plot=h(s.overplot,\"g\",n),h(s.overlinesAbove,\"path\",f),h(s.overlinesAbove,\"path\",d),h(s.overaxesAbove,\"g\",f),h(s.overaxesAbove,\"g\",d),e.xlines=l.select(\".overlines-\"+i).select(\".\"+f),e.ylines=l.select(\".overlines-\"+a).select(\".\"+d),e.xaxislayer=l.select(\".overaxes-\"+i).select(\".\"+f),e.yaxislayer=l.select(\".overaxes-\"+a).select(\".\"+d)}else 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yt=b(\"rangeslider\",\"handleDefaults\"),xt=b(\"rangeselector\",\"handleDefaults\");for(y=0;y<j.length;y++)q=j[y],W=t[q],X=e[q],yt(t,e,q),\"date\"===X.type&&xt(W,X,e,U,X.calendar),K(\"fixedrange\");for(y=0;y<U.length;y++){q=U[y],W=t[q],X=e[q];var bt=e[m(X.anchor)];K(\"fixedrange\",b(\"rangeslider\",\"isVisible\")(bt))}h.handleDefaults(t,e,{axIds:rt.concat(it).sort(d.idSort),axHasImage:P})}},{\"../../components/color\":366,\"../../components/fx/helpers\":402,\"../../components/fx/hovermode_defaults\":405,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638,\"../layout_attributes\":610,\"./axis_defaults\":556,\"./axis_ids\":558,\"./constants\":561,\"./constraints\":562,\"./layout_attributes\":569,\"./position_defaults\":572,\"./type_defaults\":582}],571:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../components/color/attributes\"),a=t(\"../../lib\");e.exports=function(t,e,r,o){var s=(o=o||{}).dfltColor;function l(r,n){return a.coerce2(t,e,o.attributes,r,n)}var c=l(\"linecolor\",s),u=l(\"linewidth\");r(\"showline\",o.showLine||!!c||!!u)||(delete e.linecolor,delete e.linewidth);var f=l(\"gridcolor\",n(s,o.bgColor,o.blend||i.lightFraction).toRgbString()),h=l(\"gridwidth\"),p=l(\"griddash\");if(r(\"showgrid\",o.showGrid||!!f||!!h||!!p)||(delete e.gridcolor,delete e.gridwidth,delete e.griddash),o.hasMinor){var d=l(\"minor.gridcolor\",n(e.gridcolor,o.bgColor,67).toRgbString()),m=l(\"minor.gridwidth\",e.gridwidth||1),g=l(\"minor.griddash\",e.griddash||\"solid\");r(\"minor.showgrid\",!!d||!!m||!!g)||(delete e.minor.gridcolor,delete e.minor.gridwidth,delete e.minor.griddash)}if(!o.noZeroLine){var v=l(\"zerolinecolor\",s),y=l(\"zerolinewidth\");r(\"zeroline\",o.showGrid||!!v||!!y)||(delete e.zerolinecolor,delete e.zerolinewidth)}}},{\"../../components/color/attributes\":365,\"../../lib\":503,tinycolor2:312}],572:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\");e.exports=function(t,e,r,a){var o,s,l,c,u=a.counterAxes||[],f=a.overlayableAxes||[],h=a.letter,p=a.grid;p&&(s=p._domains[h][p._axisMap[e._id]],o=p._anchors[e._id],s&&(l=p[h+\"side\"].split(\" \")[0],c=p.domain[h][\"right\"===l||\"top\"===l?1:0])),s=s||[0,1],o=o||(n(t.position)?\"free\":u[0]||\"free\"),l=l||(\"x\"===h?\"bottom\":\"left\"),c=c||0,\"free\"===i.coerce(t,e,{anchor:{valType:\"enumerated\",values:[\"free\"].concat(u),dflt:o}},\"anchor\")&&r(\"position\",c),i.coerce(t,e,{side:{valType:\"enumerated\",values:\"x\"===h?[\"bottom\",\"top\"]:[\"left\",\"right\"],dflt:l}},\"side\");var d=!1;if(f.length&&(d=i.coerce(t,e,{overlaying:{valType:\"enumerated\",values:[!1].concat(f),dflt:!1}},\"overlaying\")),!d){var m=r(\"domain\",s);m[0]>m[1]-1/4096&&(e.domain=s),i.noneOrAll(t.domain,e.domain,s)}return r(\"layer\"),e}},{\"../../lib\":503,\"fast-isnumeric\":190}],573:[function(t,e,r){\"use strict\";var n=t(\"./show_dflt\");e.exports=function(t,e,r,i,a){a||(a={});var o=a.tickSuffixDflt,s=n(t);r(\"tickprefix\")&&r(\"showtickprefix\",s),r(\"ticksuffix\",o)&&r(\"showticksuffix\",s)}},{\"./show_dflt\":577}],574:[function(t,e,r){\"use strict\";var n=t(\"../../constants/alignment\").FROM_BL;e.exports=function(t,e,r){void 0===r&&(r=n[t.constraintoward||\"center\"]);var i=[t.r2l(t.range[0]),t.r2l(t.range[1])],a=i[0]+(i[1]-i[0])*r;t.range=t._input.range=[t.l2r(a+(i[0]-a)*e),t.l2r(a+(i[1]-a)*e)],t.setScale()}},{\"../../constants/alignment\":471}],575:[function(t,e,r){\"use strict\";var n=t(\"polybooljs\"),i=t(\"../../registry\"),a=t(\"../../components/drawing\").dashStyle,o=t(\"../../components/color\"),s=t(\"../../components/fx\"),l=t(\"../../components/fx/helpers\").makeEventData,c=t(\"../../components/dragelement/helpers\"),u=c.freeMode,f=c.rectMode,h=c.drawMode,p=c.openMode,d=c.selectMode,m=t(\"../../components/shapes/draw_newshape/display_outlines\"),g=t(\"../../components/shapes/draw_newshape/helpers\").handleEllipse,v=t(\"../../components/shapes/draw_newshape/newshapes\"),y=t(\"../../lib\"),x=t(\"../../lib/polygon\"),b=t(\"../../lib/throttle\"),_=t(\"./axis_ids\").getFromId,w=t(\"../../lib/clear_gl_canvases\"),T=t(\"../../plot_api/subroutines\").redrawReglTraces,k=t(\"./constants\"),A=k.MINSELECT,M=x.filter,S=x.tester,E=t(\"./handle_outline\").clearSelect,L=t(\"./helpers\"),C=L.p2r,P=L.axValue,I=L.getTransform;function O(t,e,r,n,i,a,o){var s,l,c,u,f,h,d,g,v,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return 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e=[],r=z(t[0])?0:t[0][0][0],n=r,i=z(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(z(t[o]))e.push(D(t[o]));else{var s=x.tester(t[o]);s.subtract=t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!1===e[o].subtract);return a},isRect:!1,degenerate:!1}}function F(t,e,r){e._fullLayout._drawing=!1;var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(h(a)&&p(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||B(r),o||(E(e),n._lastSelectedSubplot=i.id)}function B(t){var e=t.dragmode,r=t.plotinfo,n=t.gd;if(n._fullLayout._activeShapeIndex>=0&&n._fullLayout._deactivateShape(n),h(e)){var 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r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},m.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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e=t._fullLayout,r=t.calcdata,i=e._subplots.geo,s=0;s<i.length;s++){var l=i[s],c=n(r,o,l),u=e[l]._subplot;u||(u=a({id:l,graphDiv:t,container:e._geolayer.node(),topojsonURL:t._context.topojsonURL,staticPlot:t._context.staticPlot}),e[l]._subplot=u),u.plot(c,e,t._promises)}},updateFx:function(t){for(var e=t._fullLayout,r=e._subplots.geo,n=0;n<r.length;n++){var i=e[r[n]];i._subplot.updateFx(e,i)}},clean:function(t,e,r,n){for(var i=n._subplots.geo||[],a=0;a<i.length;a++){var o=i[a],s=n[o]._subplot;!e[o]&&s&&(s.framework.remove(),s.clipDef.remove())}}}},{\"../../lib\":503,\"../../plots/get_data\":593,\"./geo\":588,\"./layout_attributes\":590,\"./layout_defaults\":591}],590:[function(t,e,r){\"use strict\";var n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../../components/drawing/attributes\").dash,o=t(\"./constants\"),s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"../../lib/sort_object_keys\"),c={range:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},showgrid:{valType:\"boolean\",dflt:!1},tick0:{valType:\"number\",dflt:0},dtick:{valType:\"number\"},gridcolor:{valType:\"color\",dflt:n.lightLine},gridwidth:{valType:\"number\",min:0,dflt:1},griddash:a};(e.exports=s({domain:i({name:\"geo\"},{}),fitbounds:{valType:\"enumerated\",values:[!1,\"locations\",\"geojson\"],dflt:!1,editType:\"plot\"},resolution:{valType:\"enumerated\",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:\"enumerated\",values:l(o.scopeDefaults),dflt:\"world\"},projection:{type:{valType:\"enumerated\",values:l(o.projNames)},rotation:{lon:{valType:\"number\"},lat:{valType:\"number\"},roll:{valType:\"number\"}},tilt:{valType:\"number\",dflt:0},distance:{valType:\"number\",min:1.001,dflt:2},parallels:{valType:\"info_array\",items:[{valType:\"number\"},{valType:\"number\"}]},scale:{valType:\"number\",min:0,dflt:1}},center:{lon:{valType:\"number\"},lat:{valType:\"number\"}},visible:{valType:\"boolean\",dflt:!0},showcoastlines:{valType:\"boolean\"},coastlinecolor:{valType:\"color\",dflt:n.defaultLine},coastlinewidth:{valType:\"number\",min:0,dflt:1},showland:{valType:\"boolean\",dflt:!1},landcolor:{valType:\"color\",dflt:o.landColor},showocean:{valType:\"boolean\",dflt:!1},oceancolor:{valType:\"color\",dflt:o.waterColor},showlakes:{valType:\"boolean\",dflt:!1},lakecolor:{valType:\"color\",dflt:o.waterColor},showrivers:{valType:\"boolean\",dflt:!1},rivercolor:{valType:\"color\",dflt:o.waterColor},riverwidth:{valType:\"number\",min:0,dflt:1},showcountries:{valType:\"boolean\"},countrycolor:{valType:\"color\",dflt:n.defaultLine},countrywidth:{valType:\"number\",min:0,dflt:1},showsubunits:{valType:\"boolean\"},subunitcolor:{valType:\"color\",dflt:n.defaultLine},subunitwidth:{valType:\"number\",min:0,dflt:1},showframe:{valType:\"boolean\"},framecolor:{valType:\"color\",dflt:n.defaultLine},framewidth:{valType:\"number\",min:0,dflt:1},bgcolor:{valType:\"color\",dflt:n.background},lonaxis:c,lataxis:c},\"plot\",\"from-root\")).uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../components/drawing/attributes\":387,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../domain\":584,\"./constants\":587}],591:[function(t,e,r){\"use 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d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var 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n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),m=t(\"../cartesian/constraints\"),g=m.enforce,v=m.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},v=m.pointIndex,y=s.castHoverinfo(g,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,v,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,v,\"bordercolor\"),fontFamily:s.castHoverOption(g,v,\"font.family\"),fontSize:s.castHoverOption(g,v,\"font.size\"),fontColor:s.castHoverOption(g,v,\"font.color\"),nameLength:s.castHoverOption(g,v,\"namelength\"),textAlign:s.castHoverOption(g,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1124,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var m=n.getDfltFromLayout(\"dragmode\");if(!1!==m&&!m)if(m=\"orbit\",t.camera&&t.camera.up){var g=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(g&&v&&y?y/Math.sqrt(g*g+v*v+y*y)>.999&&(m=\"turntable\"):m=\"turntable\")}else m=\"turntable\";r(\"dragmode\",m),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),m=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(m(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,g=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/h[a]-M),g[1][a]=Math.max(g[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);g[0][a]=Math.min(g[0][a],E),g[1][a]=Math.max(g[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var L=g[1][a]-g[0][a];g[0][a]-=L/32,g[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var P=s.range;g[0][a]=s.r2l(P[0]),g[1][a]=s.r2l(P[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.setBounds(a,{min:g[0][a]*h[a],max:g[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var s,l=o.getContext(\"2d\",{willReadFrequently:!0}),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case\"jpeg\":s=o.toDataURL(\"image/jpeg\");break;case\"webp\":s=o.toDataURL(\"image/webp\");break;default:s=o.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(this._mockAxis,t)},e.exports=_},{\"../../../stackgl_modules\":1124,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/show_no_webgl_msg\":525,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"./layout/convert\":602,\"./layout/spikes\":605,\"./layout/tick_marks\":606,\"./project\":607,\"has-passive-events\":229,\"webgl-context\":331}],609:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],610:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, sans-serif',c.size.dflt=12,c.color.dflt=a.defaultLine,e.exports={font:c,title:{text:{valType:\"string\",editType:\"layoutstyle\"},font:n({editType:\"layoutstyle\"}),xref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yref:{valType:\"enumerated\",dflt:\"container\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},x:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"layoutstyle\"},y:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"left\",\"center\",\"right\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",dflt:\"auto\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"layoutstyle\"},pad:l(s({editType:\"layoutstyle\"}),{}),editType:\"layoutstyle\"},uniformtext:{mode:{valType:\"enumerated\",values:[!1,\"hide\",\"show\"],dflt:!1,editType:\"plot\"},minsize:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"},autosize:{valType:\"boolean\",dflt:!1,editType:\"none\"},width:{valType:\"number\",min:10,dflt:700,editType:\"plot\"},height:{valType:\"number\",min:10,dflt:450,editType:\"plot\"},margin:{l:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},r:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},t:{valType:\"number\",min:0,dflt:100,editType:\"plot\"},b:{valType:\"number\",min:0,dflt:80,editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},autoexpand:{valType:\"boolean\",dflt:!0,editType:\"plot\"},editType:\"plot\"},computed:{valType:\"any\",editType:\"none\"},paper_bgcolor:{valType:\"color\",dflt:a.background,editType:\"plot\"},plot_bgcolor:{valType:\"color\",dflt:a.background,editType:\"layoutstyle\"},autotypenumbers:{valType:\"enumerated\",values:[\"convert types\",\"strict\"],dflt:\"convert types\",editType:\"calc\"},separators:{valType:\"string\",editType:\"plot\"},hidesources:{valType:\"boolean\",dflt:!1,editType:\"plot\"},showlegend:{valType:\"boolean\",editType:\"legend\"},colorway:{valType:\"colorlist\",dflt:a.defaults,editType:\"calc\"},datarevision:{valType:\"any\",editType:\"calc\"},uirevision:{valType:\"any\",editType:\"none\"},editrevision:{valType:\"any\",editType:\"none\"},selectionrevision:{valType:\"any\",editType:\"none\"},template:{valType:\"any\",editType:\"calc\"},newshape:o.newshape,activeshape:o.activeshape,meta:{valType:\"any\",arrayOk:!0,editType:\"plot\"},transition:l({},i.transition,{editType:\"none\"}),_deprecated:{title:{valType:\"string\",editType:\"layoutstyle\"},titlefont:n({editType:\"layoutstyle\"})}}},{\"../components/color/attributes\":365,\"../components/shapes/draw_newshape/attributes\":451,\"../lib/extend\":493,\"./animation_attributes\":548,\"./font_attributes\":585,\"./pad_attributes\":618}],611:[function(t,e,r){\"use strict\";var n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" \"),s={\"open-street-map\":{id:\"osm\",version:8,sources:{\"plotly-osm-tiles\":{type:\"raster\",attribution:i,tiles:[\"https://a.tile.openstreetmap.org/{z}/{x}/{y}.png\",\"https://b.tile.openstreetmap.org/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-osm-tiles\",type:\"raster\",source:\"plotly-osm-tiles\",minzoom:0,maxzoom:22}]},\"white-bg\":{id:\"white-bg\",version:8,sources:{},layers:[{id:\"white-bg\",type:\"background\",paint:{\"background-color\":\"#FFFFFF\"},minzoom:0,maxzoom:22}]},\"carto-positron\":{id:\"carto-positron\",version:8,sources:{\"plotly-carto-positron\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-positron\",type:\"raster\",source:\"plotly-carto-positron\",minzoom:0,maxzoom:22}]},\"carto-darkmatter\":{id:\"carto-darkmatter\",version:8,sources:{\"plotly-carto-darkmatter\":{type:\"raster\",attribution:a,tiles:[\"https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-carto-darkmatter\",type:\"raster\",source:\"plotly-carto-darkmatter\",minzoom:0,maxzoom:22}]},\"stamen-terrain\":{id:\"stamen-terrain\",version:8,sources:{\"plotly-stamen-terrain\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-terrain\",type:\"raster\",source:\"plotly-stamen-terrain\",minzoom:0,maxzoom:22}]},\"stamen-toner\":{id:\"stamen-toner\",version:8,sources:{\"plotly-stamen-toner\":{type:\"raster\",attribution:o,tiles:[\"https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png\"],tileSize:256}},layers:[{id:\"plotly-stamen-toner\",type:\"raster\",source:\"plotly-stamen-toner\",minzoom:0,maxzoom:22}]},\"stamen-watercolor\":{id:\"stamen-watercolor\",version:8,sources:{\"plotly-stamen-watercolor\":{type:\"raster\",attribution:['Map 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t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return 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m=c.select(s._subplot.div);if(!(null===m.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var g=e._glimages.append(\"g\");g.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),g.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),g.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),g.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=m.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var b=u.bBox(x.node()),_=n.w*(h.x[1]-h.x[0]);if(b.width>_/2){var w=v.split(\"|\").join(\"<br>\");x.text(w).attr(\"data-unformatted\",w).call(f.convertToTspans,t),b=u.bBox(x.node())}x.attr(\"transform\",a(-3,8-b.height)),y.insert(\"rect\",\".static-attribution\").attr({x:-b.width-6,y:-b.height-3,width:b.width+6,height:b.height+3,fill:\"rgba(255, 255, 255, 0.75)\"});var T=1;b.width+6>_&&(T=_/(b.width+6));var k=[n.l+n.w*h.x[1],n.t+n.h*(1-h.y[0])];y.attr(\"transform\",a(k[0],k[1])+o(T))}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{\"../../components/drawing\":388,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/get_data\":593,\"./constants\":611,\"./layout_attributes\":615,\"./layout_defaults\":616,\"./mapbox\":617,\"@plotly/d3\":58,\"mapbox-gl/dist/mapbox-gl-unminified\":239}],614:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var 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O,z,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){O=null,z=null,D=null,N.moveFn=j,N.doneFn=H,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},v.init(N)}function j(t,e){if(O)O(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(O=s<.5?q:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function H(){null!==z?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function q(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above 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r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var 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L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",I=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var 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r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function 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n=t(\"../../components/colorscale/defaults\"),i=t(\"./label_defaults\");e.exports=function(t,e,r,a,o){var s,l=r(\"contours.coloring\"),c=\"\";\"fill\"===l&&(s=r(\"contours.showlines\")),!1!==s&&(\"lines\"!==l&&(c=r(\"line.color\",\"#000\")),r(\"line.width\",.5),r(\"line.dash\")),\"none\"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:\"\",cLetter:\"z\"})),r(\"line.smoothing\"),i(r,a,c,o)}},{\"../../components/colorscale/defaults\":376,\"./label_defaults\":750}],757:[function(t,e,r){\"use strict\";var n=t(\"../heatmap/attributes\"),i=t(\"../contour/attributes\"),a=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=i.contours;e.exports=o({carpet:{valType:\"string\",editType:\"calc\"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:s.type,start:s.start,end:s.end,size:s.size,coloring:{valType:\"enumerated\",values:[\"fill\",\"lines\",\"none\"],dflt:\"fill\",editType:\"calc\"},showlines:s.showlines,showlabels:s.showlabels,labelfont:s.labelfont,labelformat:s.labelformat,operation:s.operation,value:s.value,editType:\"calc\",impliedEdits:{autocontour:!1}},line:{color:i.line.color,width:i.line.width,dash:i.line.dash,smoothing:i.line.smoothing,editType:\"plot\"},transforms:void 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":908}],789:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":503,\"./layout_attributes\":788}],790:[function(t,e,r){\"use strict\";var 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat;e.exports=u({z:{valType:\"data_array\",editType:\"calc\"},x:u({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:u({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:u({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:u({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:u({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:u({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:u({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:u({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:u({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:u({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:u({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:u({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:u({},i.showlegend,{dflt:!1})},{transforms:void 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W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,m=n.gaugeBg,g=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[m].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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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\":374}],869:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").convex_hull,s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function m(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function g(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!g(t.i,f)||!g(t.j,f)||!g(t.k,f))return;n=u(m(t.i),m(t.j),m(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),m=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+m.left,y:_-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,v=m/u.parcatsViewModel.model.count,y={countLabel:m,categoryLabel:g,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:m,category:g,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\"color\"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),S(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,m=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var m={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(m),N(m)),m}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),m=0;m<c.length;m++){var g,v=c[m];g=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],896:[function(t,e,r){\"use strict\";var n=t(\"./base_index\");n.plot=t(\"./plot\"),e.exports=n},{\"./base_index\":890,\"./plot\":900}],897:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 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);\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 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I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](m(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var 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i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{\"../../lib\":503,\"./constants\":893,glslify:227}],898:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],899:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,m=p.repeat,g=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,c=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=y),a.push({v:y,label:x,color:m(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(g+=y),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],904:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var m=c(\"textposition\");s(t,e,n,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(m)||\"auto\"===m||\"outside\"===m)&&c(\"automargin\"),(\"inside\"===m||\"auto\"===m||Array.isArray(m))&&c(\"insidetextorientation\")}o(e,n,c);var g=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":901,\"fast-isnumeric\":190}],905:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],906:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],907:[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\":901,\"./base_plot\":902,\"./calc\":903,\"./defaults\":904,\"./layout_attributes\":908,\"./layout_defaults\":909,\"./plot\":910,\"./style\":911,\"./style_one\":912}],908:[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\"}}},{}],909:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":908}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,m=t(\"../bar/constants\").TEXTPAD,g=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)v(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)v(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)v(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,b=0,_=0;_<m.length;_++){var w=m[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=f?[e.label]:[],h){var v=g.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],m=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=m.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),m.pull){var v=+g.castOption(m.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=m.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=g.castOption(m.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,i=g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(m,i,r.font):b(m,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,m.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(m.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(m.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=m.title.text;m._meta&&(i=l.templateString(i,m._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,m.title.font).call(f.convertToTspans,t),e=\"middle center\"===m.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function m(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function m(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(m(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+c.sankeyNode).filter(g(t)).call(v)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(g(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,m=0;m<t._fullData.length;m++)if(t._fullData[m].visible&&t._fullData[m].type===c.sankey&&!t._fullData[m]._viewInitial){var g=t._fullData[m].node;t._fullData[m]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var m=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===m.pointNumber){i.link.pointNumber===m.pointNumber&&(u=h),m.fullData=m.trace,o=i.link.trace.link;var g=y(m),v={valueLabel:a(i.valueFormat)(m.value)+i.valueSuffix};c.push({x:g[0],y:g[1],name:v.valueLabel,text:[m.label||\"\",w+m.source.label,T+m.target.label,m.concentrationscale?k+a(\"%0.2f\")(m.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(m.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[m]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),m=h.left-2-u.left,g=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*m,x1:x*g,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":920,\"./render\":924,\"@plotly/d3\":58}],924:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,m=t(\"../../lib/gup\"),g=m.keyFun,v=m.repeat,y=m.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,m=t.width*(u.x[1]-u.x[0]),g=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[m,g]:[g,m]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*m,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:m,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?g:m,dragPerpendicular:f?m:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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g=\"projection.\"+d[m];f(g+\".show\")&&(f(g+\".opacity\"),f(g+\".scale\"))}var v=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");v(t,e,h||p||r,{axis:\"z\"}),v(t,e,h||p||r,{axis:\"y\",inherit:\"z\"}),v(t,e,h||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":955}],960:[function(t,e,r){\"use 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927}],962:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),m=p(\"b\"),g=Math.min(d.length,m.length);if(g){e._length=g,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",g<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":503,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/line_shape_defaults\":942,\"../scatter/marker_defaults\":946,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"./attributes\":961}],964:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],965:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],966:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(h,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),g.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,g),s.extraText=g.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":938}],967:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,m=f(\"geojson\");(\"string\"==typeof m&&\"\"!==m||n.isPlainObject(m))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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M=p.font[r]={};M.size=(s.isTypedArray(f)?f[r]:Array.isArray(f)?n(f[r])?f[r]:0:f)*d,M.family=Array.isArray(h)?h[r]:h}else p.font={size:f*d,family:h};return p}function x(t){var e,r,n=t._length,i=t.marker,o={},l=s.isArrayOrTypedArray(i.symbol),c=s.isArrayOrTypedArray(i.color),f=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),m=s.isArrayOrTypedArray(i.size),g=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.isOpenSymbol(i.symbol)),l||c||f||d){o.colors=new Array(n),o.borderColors=new Array(n);var v=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(v[0])){var b=v;for(v=Array(n),e=0;e<n;e++)v[e]=b}for(o.colors=v,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.isOpenSymbol(_)}r&&(y[e]=v[e].slice(),v[e]=v[e].slice(),v[e][3]=0)}o.opacity=t.opacity}else 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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[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},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),m=Math.max(m,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,m=g[p],v=g[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[m*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":944,\"../scatter/subtypes\":952,\"./constants\":982,\"./helpers\":987,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],984:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,m,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,m,g),g(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":931,\"../scatter/fillcolor_defaults\":935,\"../scatter/line_defaults\":940,\"../scatter/marker_defaults\":946,\"../scatter/period_defaults\":947,\"../scatter/subtypes\":952,\"../scatter/text_defaults\":953,\"../scatter/xy_defaults\":954,\"./attributes\":979,\"./helpers\":987}],985:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=m.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(g)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],986:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":936}],987:[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\":982}],988:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var m=d&&d.line;m&&(h.mlc=Array.isArray(m.color)?m.color[f]:m.color,h.mlw=i.isArrayOrTypedArray(m.width)?m.width[f]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,m=t.cd,g=m[0].t,v=m[0].trace,y=t.xa,x=t.ya,b=g.x,_=g.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 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_=y.count,w=v._glcanvas.data()[0].regl;if(f(t,e,r),y.dirty){if(!0===y.error2d&&(y.error2d=a(w)),!0===y.line2d&&(y.line2d=i(w)),!0===y.scatter2d&&(y.scatter2d=n(w)),!0===y.fill2d&&(y.fill2d=i(w)),!0===y.glText)for(y.glText=new Array(_),m=0;m<_;m++)y.glText[m]=new o(w);if(y.glText){if(_>y.glText.length){var T=_-y.glText.length;for(m=0;m<T;m++)y.glText.push(new o(w))}else if(_<y.glText.length){var k=y.glText.length-_;y.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(m=0;m<_;m++)y.glText[m].update(y.textOptions[m])}if(y.line2d&&(y.line2d.update(y.lineOptions),y.lineOptions=y.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})),y.line2d.update(y.lineOptions)),y.error2d){var A=(y.errorXOptions||[]).concat(y.errorYOptions||[]);y.error2d.update(A)}y.scatter2d&&y.scatter2d.update(y.markerOptions),y.fillOrder=s.repeat(null,_),y.fill2d&&(y.fillOptions=y.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=y.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(y.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else 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R=y.selectBatch[I]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<O;g++)F[g]||B.push(g);y.unselectBatch[I]=B}var N=P.xpx=new Array(O),j=P.ypx=new Array(O);for(g=0;g<O;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(y.select2d||(y.select2d=n(v._glcanvas.data()[1].regl)),y.scatter2d){var U=new Array(_);for(m=0;m<_;m++)U[m]=y.selectBatch[m].length||y.unselectBatch[m].length?y.markerUnselectedOptions[m]:{};y.scatter2d.update(U)}y.select2d&&(y.select2d.update(y.markerOptions),y.select2d.update(y.markerSelectedOptions)),y.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else y.scatter2d&&y.scatter2d.update(y.markerOptions);var V={viewport:d(v,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},H=s.repeat(V,y.count);y.fill2d&&y.fill2d.update(H),y.line2d&&y.line2d.update(H),y.error2d&&y.error2d.update(H.concat(H)),y.scatter2d&&y.scatter2d.update(H),y.select2d&&y.select2d.update(H),y.glText&&y.glText.forEach((function(t){t.update(V)}))}else y.init()}}).reglPrecompiled=p},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":943,\"../scatter/subtypes\":952,\"./edit_style\":985,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],991:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":503}],992:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var m=n.hasText(l),g=n.hasMarkers(l),v=!g&&!m;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(g){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,m&&i(r),s}},{\"../scatter/subtypes\":952,\"./edit_style\":985}],993:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":927,\"../scattergeo/attributes\":969}],994:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function m(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function g(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=m(),S=m(),E=m(),L=m(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),m=i.isArrayOrTypedArray(f.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var 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n=t(\"../scatterpolar/attributes\"),i=t(\"../scattergl/attributes\"),a=t(\"../../plots/template_attributes\").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:a({editType:\"plot\"},{keys:[\"r\",\"theta\",\"text\"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:i.line,connectgaps:i.connectgaps,marker:i.marker,fill:i.fill,fillcolor:i.fillcolor,textposition:i.textposition,textfont:i.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{\"../../plots/template_attributes\":633,\"../scattergl/attributes\":979,\"../scatterpolar/attributes\":1002}],1010:[function(t,e,r){\"use 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":906,\"../pie/plot\":910,\"./constants\":1052,\"./fx\":1054,\"./helpers\":1055,\"./style\":1060,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1060:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1062:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1063:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function m(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(m(t,n))}return e}function v(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),m=l.dataScale,g=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<g;r++)x[e][r]=[];for(r=0;r<g;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<g;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v]),i(new Float32Array(g*v),[g,v])];for(e=0;e<3;e++)for(r=0;r<g;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(g*v),[g,v]);for(r=0;r<g;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=m[2],w.intensityBounds[1]*=m[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1124,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1064:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],v=8191&g,y=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,mt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,mt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,mt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,mt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,mt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],v=n[u+p+o],y=f*g-h*v;v=f*v+h*g,g=y,r[u+p]=d+g,n[u+p]=m+v,r[u+p+o]=d-g,n[u+p+o]=m-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return 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numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function y(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){y.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var v=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),m=i.mallocInt32(c);(c=l(e,u,d,m))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,m):o(u,r,n,s,h,p,c,d,m),i.free(d),i.free(m))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||m<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(g,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],m=c[e+p+t],g=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(m<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,g);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],m=a[e+p+t],g=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||m<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,g);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,m,g,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<m;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=g[A+b],h[y++]=-T,h[y++]=g[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,m,g,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function m(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var m=l(\"labels\");l(\"labelFont\")&&(m=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(m||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var m=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=m;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var m=-1;m<=1;m+=2)f[u]=m,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=c;c=u,u=g}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var m=[1,1,1],g=[0,0,0],v={cubeEdges:m,axis:g}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var m=+r[f][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){m=+r[f][v].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}g=o.length/3|0;c[f]=h,u[f]=g-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=f(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,m=p.length;d<m;++d)for(var g=p[d],v=2;v>=0;--v){var y=h[g[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var m=0;m<n[d].length;++m)n[d][m].text&&s(n[d][m].x,n[d][m].text,n[d][m].font||i,n[d][m].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=m,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(g,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var m=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,m=[],g=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),v=!1):v=!0}v||(p=x,d=b),m.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=m[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function m(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var v=p[g];d=Math.min(d,v),m=Math.max(m,v)}else for(g=0;g<n.length;++g){v=n[g][2];d=Math.min(d,v),m=Math.max(m,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(g=0;g<n.length;++g)for(var y=n[g],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(y[2]-d)/(m-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=m(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,g,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));h[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=g[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(q===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*m[W]+G*m[X],B=Y*m[W+1]+G*m[X+1],N=Y*m[W+2]+G*m[X+2],j=Y*m[W+3]+G*m[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new v(e,r,o,s,l,d);return m.update(t),m};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:m(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:m(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],m=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(m)?m.length>e-1?m[e-1]:m.length>0?m[m.length-1]:[0,0,0,1]:m;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+m),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+m),t[6]=d+g,t[7]=0,t[8]=h+v,t[9]=d-g,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],m=e[13],g=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*m-f*d,A=u*g-h*d,M=u*v-p*d,S=f*g-h*m,E=f*v-p*m,L=h*v-p*g,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*T-g*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-m*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*x-d*_-g*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,m=e[0],g=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(m-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=m-_,h=g-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*m+o*g+s*v),t[13]=-(l*m+c*g+u*v),t[14]=-(f*m+h*g+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],m=e[12],g=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*m,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*m,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*m,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*m,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],m=e[8],g=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+m*_,t[1]=l*x+h*b+g*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+m*k,t[5]=l*w+h*T+g*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+m*S,t[9]=l*A+h*M+g*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,m=r[0],g=r[1],v=r[2];e===t?(t[12]=e[0]*m+e[4]*g+e[8]*v+e[12],t[13]=e[1]*m+e[5]*g+e[9]*v+e[13],t[14]=e[2]*m+e[6]*g+e[10]*v+e[14],t[15]=e[3]*m+e[7]*g+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*m+s*g+f*v+e[12],t[13]=i*m+l*g+h*v+e[13],t[14]=a*m+c*g+p*v+e[14],t[15]=o*m+u*g+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,m=0;m<2;++m)d+=Math.pow(u[f][m]-e[m],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;v+=g[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,g),g]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),m=t(\"./lib/closest-point\"),g=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,m,g,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=v,this.edgeIds=m,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],m=n[f][1],g=i[f],v=1-g,y=this.positions[d],x=this.positions[m],b=0;b<3;++b)o[s++]=g*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],m=[],g=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],m.push(Z[0],Z[1]),g.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=m(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),g=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,m,g,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],v=a[m+2]-g,y=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*v/x,c[m]=2*(g-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(m=0;m<2;++m){f[0]=f[1]=0,f[m]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=h[m];var _=6*n[m].length;p[m]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/y,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=L[0]*g/y,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(m[2]+E[3])/y-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/y,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/y-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=L[2]*g/y,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=h[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],m=a[o+2]-f,g=i[o],v=i[o+2]-g;p[o]=2*l/u*m/v,h[o]=2*(s-c)/u*m/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,m=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=m.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],h[d]):o.drawLine(e[0],m,e[2],m,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),g[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),g[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),g[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!m||g&&!h&&!p&&m)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!m||v||g&&h&&!p&&!m)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&g&&!h&&!p&&!m||y||g&&!h&&p&&!m)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],m=r[2],g=r[3];(a=c*p+u*d+f*m+h*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*m,t[3]=s*h+l*g,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,m)},r.createPickProject=function(t){return v(t,g)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function m(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),m=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new g(e,r,n,o,f,h,p,d,m,s,c,u);return v.update(t),v};var v=g.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,m=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=m,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*g]=0,i[g]<0?v[12+g]=d[0][g]:v[12+g]=d[1][g],s(v,c,v),l.model=v;var C=(g+1)%3,P=(g+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,m[0],g,-1e8),l.fragClipBounds[1]=E(k,m[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=m(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=m(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var m=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,m,g,i),o.drawBox(p,h,m,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,m=r-c,g=d*d+m*m;g<n&&(n=g,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],m=0,g=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=f.length;f=f.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity);for(c=0;c<m.cells.length;c++){var v=m.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),m=s(a[1],c),g=s(a[2],u),v=d+1,y=m+1,x=g+1;if(d=l(d,0,f-1),v=l(v,0,f-1),m=l(m,0,h-1),y=l(y,0,h-1),g=l(g,0,p-1),x=l(x,0,p-1),d<0||m<0||g<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][m],L=a[1][y],C=a[2][g],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(m=h-1-m,y=h-1-y),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=g,A=x,b=d*p,_=v*p,w=m*p*f,T=y*p*f;break;case 3:w=m,T=y,k=g*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=m,T=y,b=d*h,_=v*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=v,k=g*f,A=x*f,w=m*f*p,T=y*f*p;break;default:b=d,_=v,w=m*f,T=y*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),m=c(r),g=c(n),v=Math.min(d,m,g);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=m(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=m(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",g.update(v),g};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),m=t(\"binary-search-bounds\"),g=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(f.uniforms.height=this.contourLevels[o][m],h.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,g=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*g;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=m.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=($+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[mt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=gt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var v=m[e],y=0;y<2;++y){var x=g[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function m(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=m(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],m=i[10],g=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-m*v),b=-(m*g-p*y),_=-(p*v-d*g),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=m;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),u=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,u+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(u);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],m=this.computedAngle[1],g=Math.cos(d),v=Math.sin(d),y=Math.cos(m),x=Math.sin(m),b=this.computedCenter,_=g*y,w=v*y,T=x,k=-g*x,A=-v*x,M=y,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],I=E[9],O=E[2],z=E[6],D=E[10],R=P*D-I*z,F=I*O-C*D,B=C*z-P*O,N=c(R,F,B);R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B;for(a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){u=0;for(var j=0;j<3;++j)u+=E[a+4*j]*S[j];E[12+a]=-u}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,c=0;c<3;++c)i[4*c]=o[c],i[4*c+1]=s[c],i[4*c+2]=l[c];a(i,i,n,d);for(c=0;c<3;++c)o[c]=i[4*c],s[c]=i[4*c+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=c(u-=a*p,f-=o*p,h-=s*p),m=(u/=d)*e+a*r,g=(f/=d)*e+o*r,v=(h/=d)*e+s*r;this.center.move(t,m,g,v);var y=Math.exp(this.computedRadius[0]);y=Math.max(1e-4,y+n),this.radius.set(t,Math.log(y))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),m=Math.max(h,p,d);h===m?(s=s<0?-1:1,l=f=0):d===m?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=c(s,l,f);s/=g,l/=g,f/=g}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return 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          "Lower Income Bracket Treemap/Non Exempt/LIB/Account Clerk II",
          "Lower Income Bracket Treemap/Non Exempt/PAR/Account Clerk II",
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          "Lower Income Bracket Treemap/Non Exempt/LIB/Administrative Assistant",
          "Lower Income Bracket Treemap/Non Exempt/SHF/Administrative Specialist I (State)",
          "Lower Income Bracket Treemap/Non Exempt/LIB/Administrative Technician",
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          "Lower Income Bracket Treemap/Exempt/SHF/Associate City Attorney",
          "Lower Income Bracket Treemap/Non Exempt/HSD/BH/DS Assistant",
          "Lower Income Bracket Treemap/Non Exempt/PHD/BH/DS Assistant",
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          "Lower Income Bracket Treemap/Non Exempt/HSD/BH/DS Clinician I",
          "Lower Income Bracket Treemap/Non Exempt/SHF/Background Investigations Supervisor (State)",
          "Lower Income Bracket Treemap/Non Exempt/EMS/Beach Lifeguard",
          "Lower Income Bracket Treemap/Non Exempt/EMS/Beach Lifeguard Operations Supervisor",
          "Lower Income Bracket Treemap/Non Exempt/EMS/Beach Lifeguard Supervisor",
          "Lower Income Bracket Treemap/Exempt/REA/Board of Equalization",
          "Lower Income Bracket Treemap/Non Exempt/MUS/Boat Captain",
          "Lower Income Bracket Treemap/Non Exempt/SHF/Clerk (State)",
          "Lower Income Bracket Treemap/Non Exempt/PAR/Clerk Cashier",
          "Lower Income Bracket Treemap/Non Exempt/LIB/Clerk II",
          "Lower Income Bracket Treemap/Non Exempt/HSD/Clerk III",
          "Lower Income Bracket Treemap/Non Exempt/FIR/Code Inspector II",
          "Lower Income Bracket Treemap/Non Exempt/POL/Community Service Officer",
          "Lower Income Bracket Treemap/Exempt/MCC/Council Member",
          "Lower Income Bracket Treemap/Non Exempt/SHF/Deputy Sheriff I (State)",
          "Lower Income Bracket Treemap/Exempt/EMS/EMS Medical Director",
          "Lower Income Bracket Treemap/Non Exempt/CVB/Event Coordinator",
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          "Lower Income Bracket Treemap/Non Exempt/PAR/Facility Customer Assistant",
          "Lower Income Bracket Treemap/Non Exempt/PHD/Family Services Specialist I",
          "Lower Income Bracket Treemap/Non Exempt/PAR/Fitness Instructor",
          "Lower Income Bracket Treemap/Non Exempt/HSD/Food Service Assistant",
          "Lower Income Bracket Treemap/Non Exempt/SHF/Inmate Services Director",
          "Lower Income Bracket Treemap/Non Exempt/CIR/Judicial Assistant",
          "Lower Income Bracket Treemap/Non Exempt/HSD/Juvenile Detention Counselor",
          "Lower Income Bracket Treemap/Non Exempt/POL/Legal Docket Clerk I",
          "Lower Income Bracket Treemap/Non Exempt/CWA/Legal Information Clerk",
          "Lower Income Bracket Treemap/Non Exempt/CWA/Legal Investigator",
          "Lower Income Bracket Treemap/Non Exempt/LIB/Library Assistant",
          "Lower Income Bracket Treemap/Non Exempt/LIB/Library Program Specialist",
          "Lower Income Bracket Treemap/Non Exempt/LIB/Library Services Specialist",
          "Lower Income Bracket Treemap/Non Exempt/PAR/Lifeguard",
          "Lower Income Bracket Treemap/Exempt/MCC/Mayor",
          "Lower Income Bracket Treemap/Non Exempt/AGR/Office Assistant I",
          "Lower Income Bracket Treemap/Non Exempt/PAR/Office Assistant I",
          "Lower Income Bracket Treemap/Non Exempt/SHF/Office Assistant II",
          "Lower Income Bracket Treemap/Non Exempt/MUS/Operations Assistant I",
          "Lower Income Bracket Treemap/Non Exempt/AGR/Operations Assistant II",
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          "Lower Income Bracket Treemap/Non Exempt/PAR/Parks and Recreation Aide",
          "Lower Income Bracket Treemap/Non Exempt/PAR/Parks and Recreation Aide III",
          "Lower Income Bracket Treemap/Non Exempt/PAR/Parks and Recreation Aide IV",
          "Lower Income Bracket Treemap/Non Exempt/PAR/Personal Trainer",
          "Lower Income Bracket Treemap/Non Exempt/POL/Police Cadet",
          "Lower Income Bracket Treemap/Non Exempt/POL/Police School Guard",
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   "source": [
    "## defining lower income bracket\n",
    "df_lower_salary_bracket = df[df['Salary'] <= 10000]\n",
    "\n",
    "# Visualize the distribution of 'Salary' using a histogram\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.histplot(df_lower_salary_bracket['Salary'], bins=30, kde=True, color='skyblue')\n",
    "plt.title('Distribution of Salary [Lower Income Bracket]')\n",
    "plt.xlabel('Salary')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()\n",
    "\n",
    "# Visualize the distribution of 'Department' using a count plot\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(x='Department', data=df_lower_salary_bracket, palette='viridis', order=df_lower_salary_bracket['Department'].value_counts().index)\n",
    "plt.title('Count of Employees by Department [Lower Income Bracket]')\n",
    "plt.xlabel('Department')\n",
    "plt.ylabel('Count')\n",
    "# plt.xticks(rotation=45, ha='right')\n",
    "plt.show()\n",
    "\n",
    "# Define a color palette with enough distinct colors for each department\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(x='FLSA_Status', data=df_lower_salary_bracket, \n",
    "              palette='viridis', \n",
    "              order=df_lower_salary_bracket['FLSA_Status'].value_counts().index)\n",
    "plt.title('Count of Employees by FLSA_Status [Lower Income Bracket]')\n",
    "plt.xlabel('Department')\n",
    "plt.ylabel('Count')\n",
    "# plt.xticks(rotation=45, ha='right')\n",
    "plt.show()\n",
    "\n",
    "#### Histogram plot of FLSA_Status' ####\n",
    "# Define a color palette with enough distinct colors for each department\n",
    "department_colors = sns.color_palette('Set1', n_colors=len(df_lower_salary_bracket['Department'].unique()))\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(x='FLSA_Status', hue = 'Department', data=df_lower_salary_bracket, \n",
    "              palette=department_colors, \n",
    "#               palette='viridis', \n",
    "              order=df_lower_salary_bracket['FLSA_Status'].value_counts().index)\n",
    "plt.title('Count of Employees by FLSA_Status, colored by department [Lower Income Bracket]')\n",
    "plt.xlabel('Department')\n",
    "plt.ylabel('Count')\n",
    "# plt.xticks(rotation=45, ha='right')\n",
    "plt.show()\n",
    "\n",
    "#### Treemap plot, non-continuous color ####\n",
    "df_lower_salary_bracket = df[df['Salary'] <= 10000]\n",
    "\n",
    "# Grouping the data by 'Department', 'FLSA_Status', and 'Position_Title' and counting occurrences\n",
    "grouped_data = df_lower_salary_bracket.groupby(['Department', 'FLSA_Status', 'Position_Title']).size().reset_index(name='count')\n",
    "\n",
    "fig = px.treemap(grouped_data, \n",
    "                 path=[px.Constant(\"Lower Income Bracket Treemap\"), 'FLSA_Status', 'Department', 'Position_Title'], \n",
    "                 values='count',  # Use the 'count' column as the values for treemap\n",
    "                 color_continuous_scale='RdBu',  # Set the color scale to 'RdBu' based on 'count' values\n",
    "                 hover_data={'count': True},  # Show the 'count' column on hover\n",
    "                 labels={'count': 'Count'})  # Label for the hover_data\n",
    "\n",
    "fig.update_layout(title='Treemap of Lower Income Bracket', margin=dict(t=50, l=25, r=25, b=25))\n",
    "fig.show()\n",
    "\n",
    "#### Treemap plot, continuous color, to use in Powerpoint slide, shows Position_Title within Non-Exempt Staff clearer ####\n",
    "# Grouping the data by 'Department', 'FLSA_Status', and 'Position_Title' and counting occurrences\n",
    "\n",
    "grouped_data = df_lower_salary_bracket.groupby(['Department', 'FLSA_Status', 'Position_Title']).size().reset_index(name='count')\n",
    "\n",
    "fig = px.treemap(grouped_data, \n",
    "                 path=[px.Constant(\"Lower Salary Bracket Treemap\"), 'FLSA_Status', 'Department', 'Position_Title'], \n",
    "                 values='count',  # Set the 'count' column as the values for the size of tiles\n",
    "                 color='count',  # Use the 'count' column to set the color based on the count values\n",
    "                 color_continuous_scale='RdBu',  # Set the color scale to 'RdBu' based on 'count' values\n",
    "                 hover_data={'count': True},  # Show the 'count' column on hover\n",
    "                 labels={'count': 'Count'})  # Label for the hover_data\n",
    "\n",
    "fig.update_layout(title='Treemap of Lower Income Bracket under FLSA_Status', width=1000, height=600, margin=dict(t=50, l=25, r=25, b=25))\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "430393d5",
   "metadata": {},
   "source": [
    "From the Plots above, we observe in the lower income bracket that:\n",
    "\n",
    "A significant number of employees whose salaries fall in the lower income bracket of <= $10,000 are mainly made up of non-exempt staff (1124 employees) as compared to exempt staff (13 employees), and are mostly from the ‘PAR’ Department\n",
    "\n",
    "According to the Fair Labor Standards Act (FLSA):\n",
    "Exempt staff are not eligible for overtime pay and are paid a fixed salary, often performing managerial or professional duties which have typically higher barrier of skill entry\n",
    "\n",
    "Non-exempt staff are defined as defined as staff members who are eligible for overtime pay for hours worked beyond 40 per week, and they usually receive hourly wages.\n",
    "\n",
    "As inferred from the Tree-map, we also observed that the majority of non-exempt staff hold positions that have a lower barrier of skill entry (such as a Clerk Cashier)."
   ]
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   "cell_type": "code",
   "execution_count": 14,
   "id": "25d72d07",
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   "source": [
    "# #### Treemap plot, continuous color, to use in Powerpoint slide, was later removed ####\n",
    "# # Grouping the data by 'Department', 'FLSA_Status', and 'Position_Title' and counting occurrences\n",
    "# grouped_data = df_lower_salary_bracket.groupby(['Department', 'FLSA_Status', 'Position_Title']).size().reset_index(name='count')\n",
    "\n",
    "# fig = px.treemap(grouped_data, \n",
    "#                  path=[px.Constant(\"Lower Salary Bracket Treemap\"), 'FLSA_Status', 'Department', 'Position_Title'], \n",
    "#                  color='count',  # Use the 'count' column to set the color based on the count values\n",
    "#                  color_continuous_scale='RdBu',  # Set the color scale to 'RdBu' based on 'count' values\n",
    "#                  hover_data={'count': True},  # Show the 'count' column on hover\n",
    "#                  labels={'count': 'Count'})  # Label for the hover_data\n",
    "\n",
    "# fig.update_layout(title='Treemap of Lower Salary Bracket under FLSA_Status', width=1000, height=600, margin=dict(t=50, l=25, r=25, b=25))\n",
    "# fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d241c271",
   "metadata": {},
   "source": [
    "# ❗ Concluding that the previously incorrectly labelled 'Lower Income Bracket' employees actually consists of hourly salaried employees ❗"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3604889c",
   "metadata": {},
   "source": [
    "Taking 'Clerk Cashier' as an example of a non-exempt staff with a lower barrier of skill entry, I wanted to observe the salary distribution with the .csv extracted from the SQL code below:"
   ]
  },
  {
   "attachments": {
    "image-4.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "ab3739ed",
   "metadata": {},
   "source": [
    "The SQL code written retrieves all columns for employees with the position title 'Clerk Cashier' from the 'Employee_Salaries' table & orders the results based on the 'Salary' column in descending order:\n",
    "\n",
    "SELECT *\n",
    "\n",
    "FROM EmployeeSalaries_Disparity_Dataset.dbo.Employee_Salaries$\n",
    "\n",
    "WHERE Position_Title = 'Clerk Cashier'\n",
    "\n",
    "ORDER BY Salary DESC\n",
    "\n",
    "![image-4.png](attachment:image-4.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0497a5f5",
   "metadata": {},
   "source": [
    "We import the .csv file outputted from the above SQL query for analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e0f6971b",
   "metadata": {},
   "outputs": [],
   "source": [
    "Clerk_Cashier_Annual_Hourly_df = pd.read_csv('data/Clerk_Cashier_Annual_Hourly.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bbb25553",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Range of the dataset: 38943.74\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Boxplot to share salary distribution of Clerk Cashier\n",
    "#### Range Calculation ####\n",
    "Clerk_Cashier_Annual_Hourly_df['Salary']\n",
    "data_range = max(Clerk_Cashier_Annual_Hourly_df['Salary']) - min(Clerk_Cashier_Annual_Hourly_df['Salary'])\n",
    "print(\"Range of the dataset:\", data_range)\n",
    "\n",
    "plt.figure(figsize=(3, 5))\n",
    "sns.boxplot(x='Position_Title', y='Salary', data=Clerk_Cashier_Annual_Hourly_df, hue=\"FLSA_Status\")\n",
    "plt.title(\"Boxplot of Salary Distribution for Clerk Cashier\")\n",
    "plt.xlabel(\"Position_Title\")\n",
    "plt.ylabel(\"Salary\")\n",
    "plt.annotate(f\"Range: {data_range}\", xy=(0.74, 0.8), xycoords='axes fraction', ha='center', va='center', fontsize=10)\n",
    "# plt.xticks(rotation=45, ha='right')  # Rotate x-axis labels for better readability\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "989d384c",
   "metadata": {},
   "source": [
    "As observed from the box plot above, taking 'Clerk Cashier' as an example of a non-exempt staff with a lower barrier of skill entry:\n",
    "- We observe the salary for the position title of 'Clerk Cashier' varies widely in the dataset provided according to the box plot plotted, this is further supported by the calculated range value\n",
    "- Hence, we conclude that clerk cashiers with a lower salary value of ~14.14 are most likely to be hourly salaried workers and clerk cashiers with a higher salary value of >$10,000 are most likely paid annual wages"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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    "image-4.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "cbd5fc3d",
   "metadata": {},
   "source": [
    "It appears that our dataset contains salary information of BOTH hourly and annual waged workers, which are characterised by the 2 distinct peaks in the initial 'Histogram of Salary Distribution Across all Income Brackets' plot.\n",
    "![image-4.png](attachment:image-4.png)\n",
    "\n",
    "Owing to the fact that it's difficult to accurately predict the actual take-home amount of hourly salaried workers as the # of hours that they've worked is not listed in the dataset, I'd like to limit the departmental salary disparity analysis to annual salaried workers only, which corresponds to Salary >$10,000.\n",
    "\n",
    "From this point on, I'll also refer to 'Lower Income Bracket' workers as 'hourly salaried workers' and 'Higher Income Bracket' workers as 'annual salaried workers'.\n",
    "\n",
    "The SQL query was written below to categorize the workers accordingly as well:\n",
    "![image-2.png](attachment:image-2.png)\n",
    "\n",
    "<b>Hence, in this study, I will only focus on the investigation of salary disparity amongst departments that contain annual salaried employees.<b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e0b534c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#### Testing for Z-Score Threshold on outlier count, Ignore Code Block ####\n",
    "# # Filter out rows where 'Salary' is <= 10000\n",
    "# df_salary_filtered = df[df['Salary'] > 10000]\n",
    "\n",
    "# # Calculate Z-scores for 'Salary' column\n",
    "# z_scores = np.abs(stats.zscore(df_salary_filtered['Salary']))\n",
    "# print(z_scores)\n",
    "\n",
    "# # Set a range of potential threshold values, to observe the effects on Z-Score Threshold on outlier_count\n",
    "# THRESHOLDS = np.arange(1.9, 5.2, 0.1) ## create array of values saved to thresholds from 1.9 to 5, having a step size of 0.1 to iterate through\n",
    "\n",
    "# # Initialize an empty dictionary to store the number of outliers for each threshold\n",
    "# outliers_count = {}\n",
    "\n",
    "# # Loop through the thresholds and count the number of outliers for each\n",
    "# for threshold in THRESHOLDS:\n",
    "#     num_outliers = len(z_scores[z_scores > threshold])\n",
    "#     outliers_count[threshold] = num_outliers\n",
    "    \n",
    "# # Determine the optimal z-score threshold to obtain the minimum and maximum # of outliers\n",
    "# optimal_threshold_min_outliercount = min(outliers_count, key=outliers_count.get)\n",
    "# optimal_threshold_max_outliercount = max(outliers_count, key=outliers_count.get)\n",
    "\n",
    "# print(\"Z-Score Threshold, to obtain min outlier count:\", optimal_threshold_min_outliercount)\n",
    "# print(\"Z-Score Threshold, to obtain max outlier count:\", optimal_threshold_max_outliercount)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b407ed42",
   "metadata": {},
   "source": [
    "# 🔍 Exploratory Data Analysis on Annual Salaried Employees (Previously incorrectly assumed as Higher Income Bracket Workers)\n",
    "---\n",
    "\n",
    "> **OVERALL GOAL:** \n",
    "> - View summary statistics, identify characteristics of Annual Salaried Employees & to perform data visualization to recommend the top 5 departments that have salary disparities to look into"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b264f5b",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 15px;\">Double checking SQL calculations Mean, Std, CV Calculations from SQL query [Validated Calculations]</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6503c2e5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                 Mean  Standard Deviation  Coefficient of Variation\n",
      "Department                                                         \n",
      "AGR          63457.62            34426.74                     54.25\n",
      "AUD          88504.13            35562.14                     40.18\n",
      "CAD          93902.41            45415.42                     48.36\n",
      "CCC          47720.64            25641.94                     53.73\n",
      "CIR          64061.38            27153.87                     42.39\n",
      "CIT          85091.31            23292.89                     27.37\n",
      "CLK          59403.76            25562.12                     43.03\n",
      "CMD         107711.81            68918.53                     63.98\n",
      "COM          68566.75            24824.62                     36.21\n",
      "COR          56679.49            24278.21                     42.83\n",
      "CUL          63193.65            30134.15                     47.69\n",
      "CVB          56411.43            20951.06                     37.14\n",
      "CWA          77204.04            36869.17                     47.76\n",
      "ECC          52211.51            16469.23                     31.54\n",
      "ECO          70854.24            24584.25                     34.70\n",
      "EMS          70420.29            21898.89                     31.10\n",
      "FIN          70598.81            26706.54                     37.83\n",
      "FIR          72818.45            18007.29                     24.73\n",
      "GRD          53777.70            27133.11                     50.45\n",
      "HNP          55625.91            15670.68                     28.17\n",
      "HRD          65145.10            23888.98                     36.67\n",
      "HSD          57033.48            20283.92                     35.56\n",
      "JUV          52366.34            13637.09                     26.04\n",
      "LIB          51307.80            19056.55                     37.14\n",
      "MSB          71015.97            30136.39                     42.44\n",
      "MUS          48815.84            22527.68                     46.15\n",
      "OEM          72316.82            28519.86                     39.44\n",
      "PAR          48997.58            18245.89                     37.24\n",
      "PHD          56395.66            20939.37                     37.13\n",
      "PLN          63219.85            22612.20                     35.77\n",
      "POL          64627.41            19520.08                     30.20\n",
      "PUD          53733.42            21055.34                     39.18\n",
      "PWD          54081.39            22379.82                     41.38\n",
      "REA          66437.16            24702.58                     37.18\n",
      "RMO          64189.17            23440.30                     36.52\n",
      "SHF          58587.35            17918.59                     30.58\n",
      "STR          76835.76            31000.12                     40.35\n",
      "TRE          53106.69            20981.09                     39.51\n"
     ]
    }
   ],
   "source": [
    "# Calculate the mean\n",
    "df_salary_filtered = df[df['Salary']>10000]\n",
    "\n",
    "# Group the data by 'Department' and calculate the mean and standard deviation for 'Salary'\n",
    "department_stats_salary_filtered = df_salary_filtered.groupby('Department').agg({'Salary': ['mean', 'std']})\n",
    "\n",
    "# Calculate the Coefficient of Variation (COV)\n",
    "department_stats_salary_filtered['Coefficient of Variation'] = department_stats_salary_filtered['Salary']['std'] / department_stats_salary_filtered['Salary']['mean'] * 100\n",
    "\n",
    "# Rename the columns to 'Mean' and 'Standard Deviation'\n",
    "department_stats_salary_filtered.columns = ['Mean', 'Standard Deviation', 'Coefficient of Variation']\n",
    "\n",
    "# Round the calculated statistics to two decimal places\n",
    "department_stats_salary_filtered = department_stats_salary_filtered.round(2)\n",
    "\n",
    "department_stats_salary_filtered.sort_values(by=['Coefficient of Variation'], ascending=False, inplace=False)\n",
    "\n",
    "department_stats_salary_filtered\n",
    "print(department_stats_salary_filtered)\n",
    "# department_stats_salary_filtered.to_csv('comparison.csv', index=True) ## Validated Calulation in SQL query is correct, commented out code block to not save .csv file"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "281c8258",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 25px;\">EDA, identifying characteristics of Annual Salaried Workers</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2928d6e",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 15px;\">Calculation of Mean & Median of Annual Salaried Employees to determine Skewness</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cb00407d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Salary: 60343.702\n",
      "Median Salary: 55224.0\n"
     ]
    }
   ],
   "source": [
    "# Filter out rows where 'Salary' is < 10000\n",
    "df_salary_filtered = df[df['Salary'] > 10000]\n",
    "\n",
    "## Slicing original df to obtain only the Salary column\n",
    "salary_column_distribution = df_salary_filtered['Salary']\n",
    "salary_column_distribution\n",
    "\n",
    "# Calculate the mean and median\n",
    "mean_salary = round(salary_column_distribution.mean(),3)\n",
    "median_salary = round(salary_column_distribution.median(),3)\n",
    "\n",
    "print(\"Mean Salary:\", mean_salary)\n",
    "print(\"Median Salary:\", median_salary)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef950883",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 15px;\">Histogram & Q-Q Plot of Annual Salaried Employees</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b70f8069",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample Size: 5791\n",
      "Skewness: 1.6573443231516338\n",
      "Kurtosis: 6.3187607388365485\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter out rows where 'Salary' is < 10000\n",
    "df_salary_filtered = df[df['Salary'] > 10000]\n",
    "\n",
    "## Slicing original df to obtain only the Salary column\n",
    "salary_column_distribution = df_salary_filtered['Salary']\n",
    "\n",
    "# Calculate sample size\n",
    "sample_size = df_salary_filtered['Salary'].shape[0]\n",
    "\n",
    "# Calculate skewness\n",
    "skewness = df_salary_filtered['Salary'].skew()\n",
    "\n",
    "# Calculate kurtosis\n",
    "kurtosis = df_salary_filtered['Salary'].kurtosis()\n",
    "\n",
    "# # Shapiro-Wilk test for normality, ignore\n",
    "# shapiro_statistic, shapiro_p_value = stats.shapiro(df_salary_filtered['Salary'])\n",
    "\n",
    "print(\"Sample Size:\", sample_size)\n",
    "print(\"Skewness:\", skewness)\n",
    "print(\"Kurtosis:\", kurtosis)\n",
    "# print(\"Shapiro-Wilk Test Statistic:\", shapiro_statistic)\n",
    "# print(\"Shapiro-Wilk Test p-value:\", shapiro_p_value)\n",
    "\n",
    "# Shapiro-Wilk test for normality\n",
    "# shapiro_test_statistic, shapiro_p_value = stats.shapiro(salary_column_distribution)\n",
    "# print(f\"Shapiro-Wilk test statistic: {shapiro_test_statistic}, p-value: {shapiro_p_value}\")\n",
    "\n",
    "# Visualization: Histogram\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.histplot(salary_column_distribution, kde=True,\n",
    "#              hue = 'Departments',\n",
    "             bins='auto',\n",
    "#              bins=80\n",
    "            )\n",
    "plt.title(\"Histogram of Annual Salaried Employees\")\n",
    "plt.xlabel(\"Salary\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.show()\n",
    "\n",
    "# Visualization: Q-Q plot\n",
    "plt.figure(figsize=(8, 5))\n",
    "stats.probplot(salary_column_distribution, dist=\"norm\", plot=plt)\n",
    "plt.title(\"Quantile-Quantile Plot of Annual Salaried Employees\")\n",
    "plt.xlabel(\"Theoretical Quantiles\")\n",
    "plt.ylabel(\"Sample Quantiles\")\n",
    "plt.show()\n",
    "\n",
    "### Old Comments ###\n",
    "# print(\"The above Histogram & Quantile-Quantile [Q-Q] plots serves to illustrate the distribution of the data.\")\n",
    "# print(\"\\nExplanation of the tests:\")\n",
    "# print(\"\\nShapiro-Wilk Test:\")\n",
    "# print(\"\\nThe Shapiro-Wilk Test returns a test statistic and a p-value. If the p-value is greater than 0.05 (commonly chosen significance level), it suggests that the data follows a normal distribution.\")\n",
    "# print(\"\\nQuantile-Quantile Plot [Q-Q plot]:\")\n",
    "# print(\"\\nIn the Quantile-Quantile [Q-Q] plot, if the points closely follow the diagonal line, it indicates that the data is close to normal. If the points deviate substantially, it suggests non-normality.\")\n",
    "\n",
    "# print(\"\\nBecause the Z-Test assumes normal distribution of a dataset, and as we can see from both the Q-Q plot & histogram plot, that salary does not follow a normal distribution across the entire dataset. I've decided to opt for \")\n",
    "\n",
    "# print(\"\\nDue to the following reasons below, I'll be opting for outlier detection via IQR/boxplot method instead for salary disparity within departments:\")\n",
    "# print(\"\\n 1)  Z-Test assumes normal distribution of a dataset, and as we can see from both the Q-Q plot & histogram plot, that salary does not follow a normal distribution across the entire dataset. Most salary histograms. Most salary plots, including the one obtained from this dataset, is usually right-skewed. This is because most people earn in the low/medium range of salaries, with a few exceptions.\")\n",
    "# print(\"\\n 2) Further investigation revealed that 1155 rows have a salary of <$1000, which is the reason for the left peak in the Histogram plot. This is a large reason for the dataset to not follow a normal distribution [?]\")\n",
    "# print(\"\\n 3) p-values may not be accurate for N > 5000. Our dataset contains 6946 rows in salary\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "971b0075",
   "metadata": {},
   "source": [
    "The above Histogram & Quantile-Quantile [Q-Q] plots serves to illustrate the distribution of the data.\n",
    "\n",
    "Explanation of the tests:\n",
    "\n",
    "<!-- - Shapiro-Wilk Test:\n",
    ">The Shapiro-Wilk Test returns a test statistic and a p-value. If the p-value is greater than 0.05 (commonly chosen significance level), it suggests that the data follows a normal distribution. -->\n",
    "\n",
    "- Quantile-Quantile Plot [Q-Q plot]:\n",
    "\n",
    ">In the Quantile-Quantile [Q-Q] plot, if the points closely follow the diagonal line, it indicates that the data is close to normal. If the points deviate substantially, it suggests non-normality.\n",
    "\n",
    "Z-Test typically assumes normal distribution of a dataset, and as we can see from both the Q-Q plot & histogram plot, that salary does not follow a normal distribution for annual salaried workers.\n",
    "\n",
    "Z-Score values are typically more significant when a dataset is normally distributed.\n",
    "Taking into consideration that the end goal is to identify departments with salary disparity, I’ve decided to place more emphasis on the calculated CV value as opposed to Outlier Counts obtained from Z-Score values on a non-normal dataset\n",
    "\n",
    "<!-- Outlier detection via IQR/boxplot method for salary disparity within departments is also an alternate method to look  into as well -->"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "289f64f0",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 25px;\">Histogram & Quantile-Quantile Plot of a Normally Distributed Plot for comparison</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d46ba4b9",
   "metadata": {},
   "source": [
    "I’ve included both a histogram and a Q-Q plot for a typical normally distributed dataset for reference purposes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "14091260",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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xTwdX3/Xjx4+7XJ/FYqFTp04MGzaMJ554gg0bNjB16lQOHjzIl19+ma/3eKl927Rp03jqqacYPHgwTz31FBkZGcyaNYvWrVvz66+/OpZbuHAhgwcPplu3brz44ovEx8czadIk0tPT8fC4/N/u77jjDr7++mvWr19PTEwMAPv27eOee+6hevXqeHt7s337dp577jn+/vtvFixYANi/5w888AD79u1zWYIpL9vigQMH6Ny5M61bt2bBggWUK1eOI0eO8O2335KRkYG/vz82m41u3bqxfv16xo0bR4sWLTh48CATJ06kbdu2bNmyBT8/vzxtCyJyZbNaraxZs4amTZvm2IO7SpUqXHfddaxcuRKbzZbv/Wxe9p9Zjh8/zr333sujjz7KxIkTWb58OePHj6dSpUoMGDCAJk2a8M477ziOE1mJw/z0Ps/rPjQ3P/zwAwDdu3fPcZnu3bvz/fffs3btWnr37p3n+MB+LKhduzZ9+/YlNDSUY8eOMW/ePK6//np27tzp1MMR7MfXzp07O84nx44dS79+/Rzne4VxPHj//fcZMGAA3bp1491338XLy4s33niD2267je+++4527drlqz2Af/75ByDX3tC7d++mRYsWhIeH83//93+EhYXx/vvvM2jQIE6cOMG4ceMKtF3kpd2scifNmzenV69ePProo5d8T4V13nmxUaNG0a1bN1atWsWtt97qmP7NN9+wb98+/u///s9p+VdffZWYmBjmzJnjSDh37NiRdevW0bx58xzXM3/+fO6//37atGnD66+/Tnh4OHv27OHPP/90eo/52T7zymw2M336dMc2dvF104Xyej0McOzYMfr168e4ceOYNm2a0z7scq5dC+tay2Qy8dBDDzF69Gj27t3LVVdd5Zi3aNEiEhISLiuJDtC1a1eef/55tmzZ4uh8drExY8bw3nvvMXXqVBo3bkxycjJ//vknp0+fBuwlRpOTk1m6dKlTh7YLywG5up7LTUGvhS92qX3AmjVruP3222nWrBmvv/46ISEhLFmyhD59+pCSkuJI0u/cuZN27dpRrVo1Fi5ciL+/P3PnzmXx4sV5jiU3d9xxB+PGjePHH39kwIABgP0Y2bx5c4YOHUpISAgHDhxg9uzZtGrVij/++AMvL69LXkPldVu81HUk5O16LC/bglwGQ6QMeeeddwwg10dMTIzTa2JiYoyBAwc6nnfp0sVo1KhRruuZNWuWARj79+93mr5r1y4DMIYPH+40/ZdffjEA48knnzQMwzDOnDlj+Pj4GH369HFabuPGjQZgtGnTxjFtzZo1BmDcdNNNl3z/mZmZhsViMdq1a2fceeedjun79+83AKNhw4aG1Wp1TJ8zZ44BGHfccYdTO6NHjzYAIz4+Psd1Wa1Wo1KlSkb9+vWd2kxMTDTCw8ONFi1aZHsPn3zyySXfQ17fU14AxogRIxzP9+3bZ3h4eBgvvfSSY1pqaqoRFhZmDB482DEtazu6eH0///yzARhTp051TBs4cKDTNvXjjz8agDFhwoQ8x2mz2QyLxWKsW7fOAIzt27c75k2cONHIy646a7lTp04ZcXFxRkhIiNGzZ0/H/JiYGKNz586O56+//roBGB9//LFTOzNmzDAA4/vvv3dMA4yQkBDjzJkzTstmfU4PPfSQ0/Tu3bsbgDF79myn6Y0aNTKaNGmS43uwWq2GxWIxpkyZYoSFhRk2m80xr02bNk7fi6y4Jk6c6HietZ0tX77cMe3IkSOGp6enMXny5BzXaxjnvyOzZs3KcZk+ffoYgHHixAmn9a1Zs8YwDMOIi4szAGPOnDm5ruuaa67J9l4ubM/Vd/3idRmGfdsDjJdfftlp2eeee84AjJ9++snpvb3zzjvZ2r34M8xp3xYbG2t4enpm+1snJiYakZGRxl133WUYxvn9QpMmTZz+fgcOHDC8vLyy7X9dadOmjXHNNdfkOP+bb74xAGPGjBku52dtR4sWLTLMZrPTdtu5c+c8xZDTtrh06VIDMH7//fccX/vhhx8agPHpp586Td+8ebMBGHPnznVMy2lbEBExDMM4fvy4ARh9+/bNdbms49OpU6cMw8h+bpLlUucUue0/27RpYwDGL7/84vSaevXqGbfddpvjeda+ztUxx9X6Lz6+52cfmpPbb7/dAIy0tLQcl8k6lmQd910dZw0j92NolszMTCMpKckICAhwOiZnnSddfF0wc+ZMAzCOHTvmmJbT8cDV+rPazTpWJycnG6GhoUbXrl2dXmu1Wo2GDRsaN9xwQ46xX7iOGTNmGBaLxUhLSzN+++034/rrrzcA46uvvnIse/F5Q9++fQ0fHx8jNjbWqc2OHTsa/v7+xrlz5wzDyH27cCWv7WbFdOH5fl7ldt55KRefq1itVqNGjRpGt27dssVbs2ZNR9tZn3WlSpWM1NRUx3IJCQlGaGioceuttzqmXfx3TkxMNIKDg41WrVrlK9acts+ctvmLXXwd16pVKyM6OtoR/8CBA42AgADH8nm9HjaM8/uVVatWOS1b2Neu+b3Wuni/lJCQYAQFBRmjRo1yWq5evXrGzTff7HKdF7r4Ouxi8+bNMwDjo48+cky7+Lt27bXXGt27d891PSNGjMhxH5/T9ZyrdeXnWvjiXEqWiz/D3PYBderUMRo3bmxYLBan6V26dDGioqIc20CfPn0MPz8/4/jx445lMjMzjTp16ri8frnYhdfLrqSmphqA0bFjR5fzs7ajgwcPGoDx+eefO+bldA2VUxsXb4t5uY7M6/WYYeS+LcjlUTkXKZMWLVrE5s2bsz1y+mX3QjfccAPbt29n+PDhfPfddyQkJOR5vWvWrAHIdkvTDTfcQN26dR236W3atIn09HTuuusup+VuvPHGHG/n79mzp8vpr7/+Ok2aNMHX1xdPT0+8vLxYtWoVu3btyrZsp06dnH7dr1u3LkC2wYqypsfGxubwTu09RI4ePUr//v2d2gwMDKRnz55s2rTJqbxBfuTnPeVHjRo16NKlC3PnznXclbB48WJOnz7NyJEjsy1/7733Oj1v0aIFMTExjr+zK9988w3AJXsk/Pvvv9xzzz1ERkZiNpvx8vJy1Iu/3PcZFhbG448/zqeffsovv/zicpnVq1cTEBBAr169nKZnbbsX31J6yy23UL58eZdtdenSxel5btvVxbeSrl69mltvvZWQkBDH5/DMM89w+vTpPJcUytK2bVsaNmzouH0N7NuSyWTigQceyFdbrmRtMzkJDQ2lZs2azJo1i9mzZ7Nt2zbHLe75kdN3PScXb6f33HMPQK7baX599913ZGZmMmDAADIzMx0PX19f2rRp47hdMWu/cM899zjdUh0TE0OLFi0KJRZXf4dt27Zxxx13EBYW5tiOBgwYgNVqZc+ePXlqNy/bYqNGjfD29uaBBx7g3XffzXZLK8CKFSsoV64cXbt2dfqsGjVqRGRkpMuSPCIilyNrv5iXUikXy8/+MzIykhtuuMFpWoMGDS67TMSF8roPtdlsTvMvVV7iYpfzmSUlJfH4449Tq1YtPD098fT0JDAwkOTkZJfncHfccYfT8wYNGgCXLpOSVxs2bODMmTMMHDjQ6TOx2WzcfvvtbN68OU8lLB5//HG8vLzw9fXluuuuIzY2ljfeeINOnTrl+JrVq1fTrl07qlSp4jR90KBBpKSkFHgg2aJst7DOOy/k4eHByJEjWbFiheP6ad++fXz77bcMHz4823bWo0cPfH19Hc+DgoLo2rUrP/74Y47b8oYNG0hISHDZ3oXyu33m14wZMzh8+HCO4wnk9Xo4S/ny5bnllltctnU5166Fea0VFBTE4MGDWbhwoeO7tHr1anbu3OnyGjK/LnWNAfbP75tvvuGJJ55g7dq1pKam5ns9uV3PuVKQa+H8+ueff/j7778d67pwH9apUyeOHTvG7t27Afu21a5dOyIiIhyvN5vN9OnTp1BicfV3OHnyJP/73/+oUqWKIy+RdSdsXrejvGyLebmOzOv1mBQtJdGlTKpbty5NmzbN9riwhEdOxo8fzwsvvMCmTZvo2LEjYWFhtGvXji1btlzytVm3U7m6VaZSpUqO+Vn/XngAyOJqWk5tzp49mwcffJBmzZrx6aefsmnTJjZv3sztt9/u8sAaGhrq9Nzb2zvX6RfWZbvYpd6rzWbj7NmzOb4+J/l9T/k1atQo9u7d67jV97XXXqN58+Y0adIk27KuBuaMjIx0vHdXTp06hdlsznVQz6SkJFq3bs0vv/zC1KlTWbt2LZs3b2bZsmUAhfI+R48eTaVKlRg3bpzL+adPnyYyMjLbSXh4eDienp7Z3mNut3/lZ7u6cJv69ddf6dChAwBvvfUWP//8M5s3b2bChAlAwT6Hhx9+mFWrVrF7924sFgtvvfUWvXr1KpRBVg8ePIiPj0+295XFZDKxatUqbrvtNmbOnEmTJk2oWLEiDz/8MImJiXleT35utfP09CQsLMxpWtZ7zW07za8TJ04AcP311+Pl5eX0+Oijjxx1AbPWmdN3pzBkJR0qVaoE2C+YWrduzZEjR3j55ZdZv349mzdvdvyYkpftKK/bYs2aNVm5ciXh4eGMGDGCmjVrUrNmTacLyRMnTnDu3Dm8vb2zfVbHjx93qqEoIpKbChUq4O/vz/79+3Nd7sCBA/j5+WU7HlxKfvefrtr38fEplPOWLHndh06ZMsVp3oUDvWeV6sjtc8sqsXdxkjYv7rnnHl599VWGDh3Kd999x6+//srmzZupWLGiy8/i4s8tq1RLYX1uWcfoXr16ZfvMZsyYgWEYjnKJuRk1ahSbN2/mt99+Y9++fRw7duySnRBOnz6d47VA1vyCKIp2i+K880JDhgzBz8+P119/HbBfY/j5+bkse5LTeVJGRgZJSUku288q43mp8kj53T7zq0WLFnTv3p3nn3/e5bVeXq+HsxTWNQacv3Ytimuthx56iMTERD744APAXpInOjqabt265buti118buvK//3f//H444/z2WefcfPNNxMaGkr37t3Zu3dvnteT33IeBbkWzq+s/ddjjz2Wbf81fPhwAKfrjOK8xrDZbHTo0IFly5Yxbtw4Vq1axa+//sqmTZuAvG1Hed0W83IdmdfrMSlaqokuchFPT0/GjBnDmDFjOHfuHCtXruTJJ5/ktttu49ChQ7mOFp51knzs2LFsJzhHjx511H/LWi5rR3ih48ePu+yN7qrHwfvvv0/btm2ZN2+e0/T8JOwK6sL3erGjR4/i4eGRr1+6sxT1e7rlllu49tprefXVVwkMDGTr1q28//77Lpd1VYf6+PHj1KpVK8f2K1asiNVq5fjx4zmeqKxevZqjR4+ydu1ax6/QgFO9s8vl5+fHpEmTeOCBB7LVNwf73++XX37BMAynbevkyZNkZmZmq5dYkJ5al7JkyRK8vLxYsWKFU2+czz77rMBt3nPPPTz++OO89tpr3HjjjRw/fvyy6xQCHDlyhN9++402bdrkWA8d7D2u58+fD8CePXv4+OOPmTRpEhkZGY6LqkvJz2edmZnJ6dOnnS7Qs7bbrGlZn+3FA8bm5wQ4a3tYunSpo/eFK1nrzOm7Uxi++OILTCYTN910E2DfXpKTk1m2bJlTbBcPwpOb/GyLrVu3pnXr1litVrZs2cIrr7zC6NGjiYiIoG/fvo6B47799luX6woKCspzXCJyZTObzdxyyy188803HD582GXy7PDhw/z222/cfvvtjmm+vr7Z9vlAtgvswth/Fra87kMfeOABpzvhLqwh3qFDB958800+++wznnjiCZftfPbZZ3h6ejqOJTkdKy/+zOLj41mxYgUTJ050ajs9PT1PieqikHWMfuWVVxyDgV4sp046F4qOjqZp06b5WndYWFiO1wIXxpZfRdFuUZx3XigkJISBAwfy9ttv89hjj/HOO+9wzz33uKwdndN5kre3N4GBgS7bz6pNf/HgnBcqru1z+vTpXHvttUybNi3bvLxeD2cpimuMorjWqlWrFh07duS1116jY8eOfPHFF0yePNlpHKaCMAyDL7/8koCAgFy/fwEBAUyePJnJkydz4sQJR6/0rl278vfff+dpXfn9rPNyLZzb8SYv39OsZcaPH0+PHj1cLlO7dm3Avm0V9TUG4BiD7c8//2T79u0sXLiQgQMHOpbLGi8iL/KzLV7qOjKv12NStNQTXSQX5cqVo1evXowYMYIzZ844eq3k1IMk61a0i5OymzdvZteuXY5BfZo1a4aPj4/TyM9gL/OSn1s7TSZTtoGHduzYUeBbHPOjdu3aVK5cmcWLFzvd+pScnMynn35K8+bNc/3BISfF8Z4efvhhvvrqK8aPH09ERESOA0pl9TTIsmHDBg4ePJjr4KYdO3YEyPYjwIWyTmAufp9vvPFGXsLPsyFDhjhG/774drB27dqRlJSU7cJh0aJFjvlFzWQy4enp6XTymZqaynvvvVfgNn19fR2lNmbPnk2jRo1o2bLlZcWZmprK0KFDyczMzLFnvytXX301Tz31FPXr12fr1q2O6YXda+/i7TRrcJ2s7TQiIgJfX1927NjhtNznn3+era2c9m233XYbnp6e7Nu3z+VdPlkn/bVr1yYqKooPP/zQab9w8OBBNmzYcHlvFHjnnXf45ptvuPvuux09DV19nwzD4K233nL5/lx99gXZFs1mM82aNXP02Mz6G3fp0oXTp09jtVpdfk5ZFwK5xSMikuWJJ57AMAyGDx+ercyD1WrlwQcfxGq1MmrUKMf0atWqcfLkSafOGhkZGXz33XdOr8/P/jOvLreXdV73oZUqVXKaXr9+fUcb3bt3p169ejz//PMuS3p99NFHfP/99/Tp08fRgzGrA8vFx8oLByoE+2dmGEa2c7i333473yVlLnQ5x4OWLVtSrlw5du7cmeMxOqunbmFr166dI0l0oUWLFuHv7+9I6ud3u8hru/lRFOedF3v44YeJi4ujV69enDt3LsdSH8uWLXO6OzMxMZEvv/yS1q1b55iUbdGiBSEhIbz++us5lv8oqu3zYnXq1GHIkCG88sor2cp/5vV6uCgV1bXWqFGj2LFjBwMHDsRsNnP//fdfVnsAkydPZufOnYwaNcrpx53cREREMGjQIO6++252797tKKFa2He55OVauFq1atn2m3v27HGUYMmSU2y1a9fmqquuYvv27Tnuv7J+PL355ptZtWqV07HNarVmy6kUxPbt25k2bRrVqlVzlNzNz3aU0/sr6Lbo6joyr9djucUjl0890UUu0rVrV6699lqaNm1KxYoVOXjwIHPmzCEmJsYxGnfWifrLL7/MwIED8fLyonbt2tSuXZsHHniAV155BQ8PDzp27OgYjbxKlSo88sgjgP0WtDFjxjB9+nTKly/PnXfeyeHDh5k8eTJRUVFOtd9y06VLF5599lkmTpxImzZt2L17N1OmTKF69epkZmYWzQf0Hw8PD2bOnMm9995Lly5dGDZsGOnp6cyaNYtz587x/PPPF6jd4nhP/fr1Y/z48fz444889dRTOV5YbNmyhaFDh9K7d28OHTrEhAkTqFy5suPWMldat25N//79mTp1KidOnKBLly74+Piwbds2/P39eeihh2jRogXly5fnf//7HxMnTsTLy4sPPviA7du3F8r7y2I2m5k2bRp33nkncL4GJ8CAAQN47bXXGDhwIAcOHKB+/fr89NNPTJs2jU6dOnHrrbcWaiyudO7cmdmzZ3PPPffwwAMPcPr0aV544YVsJxn5NXz4cGbOnMlvv/3G22+/na/XxsbGsmnTJmw2G/Hx8Wzbto0FCxZw8OBBXnzxRcdtwK7s2LGDkSNH0rt3b6666iq8vb1ZvXo1O3bscOoNVL9+fZYsWcJHH31EjRo18PX1dbr4zw9vb29efPFFkpKSuP7669mwYQNTp06lY8eOjjEgTCYT/fr1Y8GCBdSsWZOGDRvy66+/uhzJPqd9W7Vq1ZgyZQoTJkzg33//5fbbb6d8+fKcOHGCX3/91dE7xsPDg2effZahQ4dy5513cv/993Pu3DkmTZqUr1stU1NTnW6V/Pfff/nss89YsWIFbdq0cerV3759e7y9vbn77rsZN24caWlpzJs3z+UtxvXr12fZsmXMmzeP6667Dg8PD5o2bZrnbfH1119n9erVdO7cmapVq5KWlsaCBQsAHN+Zvn378sEHH9CpUydGjRrFDTfcgJeXF4cPH2bNmjV069bN8Z0szG1BRMqmli1bMmfOHEaNGkWrVq0YOXIkVatWJTY2ltdee42NGzcyadIk2rdv73hNnz59eOaZZ+jbty9jx44lLS2N//u//8uWRMvP/jOvatasiZ+fHx988AF169YlMDCQSpUq5Vqm4EL52YfmxGw28+mnn9K+fXuaN2/Oo48+SvPmzUlPT+fLL7/kzTffpEGDBk4dHiIjI7n11lsd5+YxMTGsWrXKcct9luDgYG666SZmzZpFhQoVqFatGuvWrWP+/Pkuexzn1eUcDwIDA3nllVcYOHAgZ86coVevXoSHh3Pq1Cm2b9/OqVOncu3ccTkmTpzIihUruPnmm3nmmWcIDQ3lgw8+4KuvvmLmzJmOUpr53S7y2m5+FNV554Wuvvpqbr/9dr755htatWpFw4YNXS5nNptp3749Y8aMwWazMWPGDBISEpg8eXKObQcGBvLiiy8ydOhQbr31Vu6//34iIiL4559/2L59O6+++mqRbZ+uTJo0iQ8++IA1a9YQEBDgmJ7X6+GiVFTXWu3bt6devXqsWbOGfv36ER4enufXnjt3znFum5yczO7du1myZAnr16/nrrvuyvVvD/ZOeF26dKFBgwaUL1+eXbt28d577zl1XMvaZ8yYMYOOHTtiNptp0KBBgX9Ey8u1cP/+/enXrx/Dhw+nZ8+eHDx4kJkzZzrunMiS2z7gjTfeoGPHjtx2220MGjSIypUrc+bMGXbt2sXWrVv55JNPAHjqqaf44osvuOWWW3jmmWfw9/fntddey9OYDxf67bffCAkJwWKxcPToUVatWsV7771HeHg4X375pePzqlOnDjVr1nT8mB0aGsqXX37pKAt7oZyuofK6LeblOjKv12MXxlNY24JcoJgHMhUpUlkjSW/evNnl/M6dOxsxMTFO0y4eUfrFF180WrRoYVSoUMHw9vY2qlatatx3333GgQMHnF43fvx4o1KlSoaHh4fTyOZWq9WYMWOGcfXVVxteXl5GhQoVjH79+hmHDh1yer3NZjOmTp1qREdHG97e3kaDBg2MFStWGA0bNnQaCfviEdEvlJ6ebjz22GNG5cqVDV9fX6NJkybGZ599ZgwcONDpfWaNcD5r1iyn1+fU9qU+xwt99tlnRrNmzQxfX18jICDAaNeunfHzzz/naT2u5PU95QVgjBgxwuW8QYMGGZ6ensbhw4ezzct6/99//73Rv39/o1y5coafn5/RqVMnY+/evU7LuorLarUaL730knHttdca3t7eRkhIiNG8eXPjyy+/dCyzYcMGo3nz5oa/v79RsWJFY+jQocbWrVuzjVruasR4V3IbbbxFixYGkG1U+NOnTxv/+9//jKioKMPT09OIiYkxxo8fb6SlpTktl9PnmNN2klMsAwcONAICApymLViwwKhdu7bh4+Nj1KhRw5g+fboxf/78bKObXzzCe1ZcF44kf6G2bdsaoaGhRkpKisv5F8v6jmQ9zGazUb58eeO6664zRo8ebfz111/ZXpO1XWd990+cOGEMGjTIqFOnjhEQEGAEBgYaDRo0MF566SUjMzPT8boDBw4YHTp0MIKCggzAsf3k9j25eF2Gcf7z3LFjh9G2bVvDz8/PCA0NNR588EEjKSnJ6fXx8fHG0KFDjYiICCMgIMDo2rWrceDAAZefYU77NsOwf99vvvlmIzg42PDx8TFiYmKMXr16GStXrnRq4+233zauuuoqw9vb27j66quNBQsW5Pk73KZNG6e/RUBAgFGjRg2jV69exieffGJYrdZsr/nyyy+Nhg0bGr6+vkblypWNsWPHGt988022+M+cOWP06tXLKFeunGEymZy+W3nZFjdu3GjceeedRkxMjOHj42OEhYUZbdq0Mb744guneCwWi/HCCy84YgoMDDTq1KljDBs2zGkfktO2ICJysQ0bNhg9e/Y0IiIiHPtnX19f46uvvnK5/Ndff200atTI8PPzM2rUqGG8+uqrLs8p8rr/bNOmjXHNNddkW4+rffuHH35o1KlTx/Dy8nI6zrhav6vje173oZdy6tQp4/HHHzfq1Klj+Pj4OI4rw4YNc3l+cOzYMaNXr15GaGioERISYvTr18/YsmVLtnOzw4cPGz179jTKly9vBAUFGbfffrvx559/ZrumyOk8ydUxPafjQdb5yYXrz2r3wvMkwzCMdevWGZ07dzZCQ0MNLy8vo3Llykbnzp0vef6d03WCK67OG/744w+ja9euRkhIiOHt7W00bNjQKd4sOW0XOclru7md718sr+edl5LT98EwDGPhwoUGYCxZsiTbvKzPesaMGcbkyZMd14GNGzc2vvvuO6dlc/o7f/3110abNm2MgIAAw9/f36hXr54xY8YMx/y8bp+utkNXcjs/ffLJJx3nahfK6/VwTp9jYVy7Xs61lqv9UpZJkyYZgLFp0yaX812JiYlx7H9MJpMRGBho1K5d2+jfv3+2v3uWi78jTzzxhNG0aVOjfPnyju33kUceMeLi4hzLpKenG0OHDjUqVqzoOM/N2n5y+55cvK78XAvbbDZj5syZRo0aNQxfX1+jadOmxurVq11+hrntA7Zv327cddddRnh4uOHl5WVERkYat9xyi/H66687tfHzzz8bN954o+Hj42NERkYaY8eONd588808fYez/tZZDx8fHyMqKsro0KGD8fLLLxsJCQnZXrNz506jffv2RlBQkFG+fHmjd+/eRmxsbL6uofKyLeb1OtIw8nY9ltu2IJfHZBh5GApYRIrF/v37qVOnDhMnTuTJJ590dzhlVkZGBtWqVaNVq1Z8/PHH2eYvXLiQwYMHs3nz5nzXhhT3O3nyJDExMTz00EPMnDnT3eGIiIgUukWLFjFw4EDGjRvHjBkz3B1OqXDkyBGaN29OUFAQ69atK3C9bpHc9OzZk02bNnHgwAG8vLyc5h04cIDq1asza9YsHnvsMTdFKJejadOmmEwmNm/e7O5QRMQNVM5FxE22b9/Ohx9+SIsWLQgODmb37t3MnDmT4OBg7rvvPneHVyadOnWK3bt3884773DixIkcB5uS0unw4cP8+++/zJo1Cw8PD6f6sCIiImXJgAEDOHbsGE888QQBAQE888wz7g6pxKtcuTLfffcdrVq1okOHDqxZs6ZAZUFELpaens7WrVv59ddfWb58ObNnz86WQJfSKyEhgT///JMVK1bw22+/sXz5cneHJCJuoiS6iJsEBASwZcsW5s+fz7lz5wgJCaFt27Y899xzREREuDu8Mumrr75i8ODBREVFMXfuXJo0aeLukKQQvf3220yZMoVq1arxwQcfULlyZXeHJCIiUmQef/xxHn/8cXeHUarUrVuX06dPuzsMKWOOHTvm6Bg1bNgwHnroIXeHJIVo69at3HzzzYSFhTFx4kS6d+/u7pBExE1UzkVEREREREREREREJAce7g5ARERERERERERERKSkUhJdRERERERERERERCQHSqKLiIiIiIiIiIiIiOSgzA8sarPZOHr0KEFBQZhMJneHIyIiIiJXKMMwSExMpFKlSnh4lJ2+LNOnT+fJJ59k1KhRzJkzJ0+v0Tm6iIiIiJQEeT1HL/NJ9KNHj1KlShV3hyEiIiIiAsChQ4eIjo52dxiFYvPmzbz55ps0aNAgX6/TObqIiIiIlCSXOkcv80n0oKAgwP5BBAcHuzkaEREREblSJSQkUKVKFcf5aWmXlJTEvffey1tvvcXUqVPz9Vqdo4uIiIhISZDXc/Qyn0TPuj00ODhYJ+giIiIi4nZlpXzJiBEj6Ny5M7feemu+k+g6RxcRERGRkuRS5+hlPokuIiIiIiKFa8mSJWzdupXNmzfnafn09HTS09MdzxMSEooqNBERERGRQld2RjQSEREREZEid+jQIUaNGsX777+Pr69vnl4zffp0QkJCHA/VQxcRERGR0sRkGIbh7iCKUkJCAiEhIcTHx+tWURERERFxm7JyXvrZZ59x5513YjabHdOsVismkwkPDw/S09Od5oHrnuhVqlQp9Z+FiIiIiJRueT1HVzkXERERERHJs3bt2vHHH384TRs8eDB16tTh8ccfz5ZAB/Dx8cHHx6e4QhQRERERKVRKoouIiIiISJ4FBQVx7bXXOk0LCAggLCws23QRERERkbJANdFFRERERERERERERHKgnugiIiIiInJZ1q5d6+4QRERERESKjHqii4iIiIiIiIiIiIjkQEl0EREREREREREREZEcKIkuIiIiIiIiIiIiIpIDJdFFRERERERERERERHKgJLqIiIiIiIiIiIiISA6URBcRERERERERERERyYGS6CIiIiIiIiIiIiIiOVASXUREREREREREREQkB57uDkBERERERERERERErjxWK6xfD8eOQVQUtG4NZrO7o8pOSXQRERERERERERERKVbLlsGoUXD48Plp0dHw8svQo4f74nJF5VxEREREREREREREpNgsWwa9ejkn0AGOHLFPX7bMPXHlREl0ERERERERERERESkWVqu9B7phZJ+XNW30aPtyJYWS6CIiIiIiIiIiIiJSLNavz94D/UKGAYcO2ZcrKVQTXUSkjIqNjSUuLq7Q2qtQoQJVq1YttPZERERERERE5Mpz7FjhLlcclEQXESmDYmNjqVu3LikpKYXWpr+/P7t27VIiXUREREREREQKLCqqcJcrDkqii4iUQXFxcaSkpPDUq/OJqVX7sts7+M9upo68j7i4OCXRRURERERERKTAWreG6Gj7IKKu6qKbTPb5rVsXf2w5URJdRKQMi6lVm9oNGrk7DBERERERERERAMxmePll6NXLnjC/MJFuMtn/nTPHvlxJoYFFRURERERERERERKTY9OgBS5dC5crO06Oj7dN79HBPXDlRT3QRERERERERERERKVY9ekC3brB+vX0Q0agoewmXktQDPYuS6CIiIiIiIiIiIiJS7MxmaNvW3VFcmsq5iIiIiIiIiIiIiIjkQEl0EREREREREREREZEcKIkuIiIiIiIiIiIiIpIDJdFFRERERERERERERHKgJLqIiIiIiIiIiIiISA6URBcRERERERERERERyYGS6CIiIiIiIiIiIiIiOVASXUREREREREREREQkB0qii4iIiIiIiIiIiIjkQEl0EREREREREREREZEcKIkuIiIiIiIiIiIiIpIDJdFFRERERERERERERHKgJLqIiIiIiIiIiIiISA6URBcRERERERERERERyYGnuwMQERERERERERERkZLFaoX16+HYMYiKgtatwWx2d1TuoSS6iIiIiIiIiIiIiDgsWwajRsHhw+enRUfDyy9Djx7ui8tdVM5FRERERERERERERAB7Ar1XL+cEOsCRI/bpy5a5Jy53UhJdRERERERERERERLBa7T3QDSP7vKxpo0fbl7uSKIkuIiIiIiIiIiIiIqxfn70H+oUMAw4dsi93JVESXUREREREREREREQ4dqxwlysrlEQXEREREREREREREaKiCne5skJJdBERERERERERERGhdWuIjgaTyfV8kwmqVLEvdyVREl1EREREREREREREMJvh5Zft/784kZ71fM4c+3KFZuVKuO8+16OZlhBKoouIiIiIiIiIiIgIAD16wNKlULmy8/ToaPv0Hj0KaUWpqTB6NLRvDwsWwKJFhdRw4fN0dwAiIiIiIiIiIiIiUnL06AHdusH69fZBRKOi7CVcCq0H+rZt0K8f7Nxpfz58OPTuXUiNFz4l0UVESoDY2Fji4uIKrb1du3YVWlsiIiIiIiIicuUxm6Ft20Ju1GqFmTNh4kSwWCAy0t4LvWPHQl5R4VISXUTEzWJjY6lbty4pKSmF3nZSUlKhtykiIiIiIiIikm/790P//vDzz/bnd94Jb74JFSq4N648UBJdRMTN4uLiSElJ4alX5xNTq3ahtLlpzffMnzGFtLS0QmlPRERERERERKRADAMWLoSHH4akJAgKgv/7Pxg4MPvopSWUkugiIiVETK3a1G7QqFDaOrh3d6G0IyIiIiIiIiJSYKdOwbBhsHy5/XmrVvYBRKtXd29c+eTh7gBEREREREREREREpIz5+muoX9+eQPfygunTYe3aUpdAB/VEFxEREREREREREZHCkpwMY8fCvHn25/XqwfvvQ+PG7o3rMqgnuoiIiIiIiIiIiIhcvl9/hSZNzifQR4+GLVtKdQIdlEQXERERERERERERkcuRmQlTpkCLFrBnD1SuDD/8AC+9BH5+7o7usqmci4iIiIiIiIiIiIgUzN690L8//PKL/XmfPjB3LoSGujeuQqSe6CIiIiIiIiIiIiKSP4YBb7wBjRrZE+ghIfDBB7BkSZlKoIN6oouIiIiIiIiIiIhIfpw4AUOHwooV9uc33wzvvgtVqrg3riKinugiIiIiIpJn8+bNo0GDBgQHBxMcHEzz5s355ptv3B2WiIiIiBSXzz+Ha6+1J9B9fGD2bFi5sswm0EE90UVEyiaTCd+gEDB5YBgGJpPJ3RGJiEgZER0dzfPPP0+tWrUAePfdd+nWrRvbtm3jmmuucXN0IiIiIlJkEhPhkUdg/nz78wYN7OVbrr3WvXEVAyXRRUTKiESLjbPpVhIybPg368TEdV0B2HAiDW8PCPU1E+ZjJsTbQ0l1EREpsK5duzo9f+6555g3bx6bNm1SEl1ERESkrNqwwT546L//gskEjz0Gzz5r74l+BVASXUSklEvIsBKblEl8hs0xzWQ2Oy2TYYPjKVaOp1jx8oBqQV5U9DUrmS4iIpfFarXyySefkJycTPPmzXNcLj09nfT0dMfzhISE4ghPRERERC5XRgZMngzPPw82G1StCosWQZs27o6sWKkmuohIKZVuNdh5Np0/zmQQn2HDBIT5mqkR7EXK1tU8dUMl+HsTN4T7Uq+8N+F+ZjxNYLHB3ngLf53NICXTdsn1iIiIXOyPP/4gMDAQHx8f/ve//7F8+XLq1auX4/LTp08nJCTE8ahShutlioiIiJQZu3ZB8+YwbZo9gd6/P+zYccUl0EFJdBGRUulMmpXf49I4m25Pgof7mWlSwYc65byJ8vfESE3CmmkBmxUvDxPlfcxcFeLN9eG+VA30xAOIz7Dxe1w6J1Mz3ftmRESk1Klduza///47mzZt4sEHH2TgwIHs3Lkzx+XHjx9PfHy843Ho0KFijFZERERE8sVmg1degSZNYOtWCA2Fjz+290APCXF3dG6hci4iIqWIYRgcSMzkaIo98R3gaeLqct74e+btN1EPk4kqgfZSLvsSLJzLsLE33oLFZlA5wKsoQxcRkTLE29vbMbBo06ZN2bx5My+//DJvvPGGy+V9fHzwuULqZYqIiIiUakePwuDB8P339ucdOsA770ClSu6Ny83UE11EpJSwGQZ/n8twJNCj/M00CPPJcwL9Qr6eHtQr702Uv712+oHETPYnWDAMo1BjFhGRK4NhGE41z0VERESkFFq6FOrXtyfQfX3tvdG//faKT6CDeqKLiJQKVpvBrnPna59fXc6bCr7mS74uNyaTiepBXnibTRy8oHd79WD1SBcRkZw9+eSTdOzYkSpVqpCYmMiSJUtYu3Yt3377rbtDExEREZGCiI+Hhx6C996zP7/uOnj/fahTx71xlSBKoouIlHCZNoOdZzNItNjwMEHdct6U87m8BHoWk8lEdIAXXiYT/yRYOJqSia+niSh/HR5ERMS1EydO0L9/f44dO0ZISAgNGjTg22+/pX379u4OTURERETya906GDAAYmPBwwPGj4dnngFvb3dHVqIoSyIiUoJZDYNd/yXQPU1Qr7wPQd6FX4krwt+TDJtBbFIm/yZY8DXbByMVERG52Pz5890dgoiIiIhcrvR0ePppeOEFMAyoUcPeE71FC3dHViKpJrqISAllGAZ7zmWQYLFhNsE1oUWTQM8SHeBJ+H8lYnafyyDZYiuydYmIiIiIiIiIm/zxB9xwA8yaZU+gDx0Kv/+uBHou1BNdRKQEMgyDfQkWzqTba6DXLe9NoFfR/u5pMpmoGeJFus0gPsPG7nMZNKzgg9lkKtL1ioiIiIiIiEjRsFph/Xo4dgyiImzctHUOHhPGQ0YGVKwIb70F3bq5O8wST0l0EZES6HByJidSrQDULudNiHfxlFbxMJmoXc6bbXFppFoNDiRaqBmsOmgiIiIiIiIipc2yZTBqFBw+DFWIZSGD8GCNfWaXLvD22xAR4d4gSwmVcxERKWFOp1mJTcoEoEawF2G+xVub3MvDxFUh9sT58RQrZ9Ksxbp+EREREREREbk8y5ZBr15w+LDBPXzADhpwC2tIxp9hvMGyQV8ogZ4PSqKLiJQgyRYbe+IzAIjyNxPl754bhsr7mKnkb0/e743PwOahQUZFRERERERESgOr1d4DvZxxhg+5mw/oRzni2UQzGvE7b5keYPQjJqzqM5dnSqKLiJQQNpOZXecysBkQ4u1BtSAvt8YTE+RFgKeJTAOSgvTrtIiIiIiIiEhpsH491D68kh00oC8fkYmZZ5hMK37iH67CMODQIftykjeqiS4iUgKYPDxIDInCYjXwNdvrknu4eUBPD5O9rMv20+lk+ARRr21Ht8YjIiIiIiIiIpeQmkrUjPGs5GUA9nAV/XifzdyQbdFjx4o7uNJLSXQRkRLglqFjsHgH4GGCOuW88fJwbwI9S4CXB5UDPDmcnMkdjz9PJrrXS0RERERERMTdrFZ7T/JjxyAqClq3BvOObdCvH7V37gRgLg8yllmkEOCyjaio4oy4dFMSXUTEzU7jwy0PjAWgZrAXAV4lq9JWdKAnRxNSCImoxD9GgovfrkVERERERESkuCxbZq95fviw/bkHVp4Lnsm4lIl4ZFowIiMZYFnAB2c6YhjZX28yQXS0PfEueVOyMjUiIleYRIuVHVTAw8MDn9RzhPuVvN82zSYTgYknAIgliOMpmW6OSEREREREROTKtGwZ9Op1PoFejf2spS1PJDyJR6aFI83uxPTHH9z5pr0k68WVYrOez5kDZnPxxV3auTWJnpmZyVNPPUX16tXx8/OjRo0aTJkyBZvN5ljGMAwmTZpEpUqV8PPzo23btvz1119ujFpEpHDYDIPP9ydiMZk5tudPAhNPujukHHlnpPD7N5+CycR3h5IwXP2ULSIiIiIiIiKFwmqFtWvhww/t/1qt9seoUfzXu9xgIAvZTkNa8xMJBDGYd2h+5FOs5SvQowcsXQqVKzu3Gx1tn96jR/G/p9LMrUn0GTNm8Prrr/Pqq6+ya9cuZs6cyaxZs3jllVccy8ycOZPZs2fz6quvsnnzZiIjI2nfvj2JiYlujFxE5PL9eCyFw8mZmA0bH4y9DxMlOzH91exnMBs2jqVksvNsurvDERERERERESmTli2DatXg5pvhnnvs/1arBs89Z++BHkYcn9KThQwmmETW04qGbGchgzh02MT69fZ2evSAAwdgzRpYvNj+7/79SqAXhFvrBmzcuJFu3brRuXNnAKpVq8aHH37Ili1bAHsv9Dlz5jBhwgR6/PfXfffdd4mIiGDx4sUMGzbMbbGLiFyOf+Iz2HQiFYBrOM3pQ/+6OaJLSzp9kuok8A/lWHc0havL+ZSYAVBFREREREREyoKsci0X3wB+5AhMnAgd+ZoFDCGSE2TgxTNMYRZjsXG+NsuxY+dfZzZD27bFE3tZ5tae6K1atWLVqlXs2bMHgO3bt/PTTz/RqVMnAPbv38/x48fp0KGD4zU+Pj60adOGDRs2uCVmEZHLFZ9hZcVB+90011X0JZJUN0eUdzEkEuzlQYLFxq8nS0/cIiIiIiIiIiWdc7kWZ35GMq8xnK/pTCQn+It6NOMXZvCEUwIdICqqmAK+gri1J/rjjz9OfHw8derUwWw2Y7Vaee6557j77rsBOH78OAARERFOr4uIiODgwYMu20xPTyc9/XyZgYSEhCKKXkQk/6w2ex30NKtBlL8nN1cKYEfJLYWejRmDtpUC+OJgIptOpNAwzJdAL41RLSIiIiIiInK51q8/P2Doha7nV96jP7Wxd0R+idE8yTTS8HNazmSy1zxv3bo4or2yuDXz8dFHH/H++++zePFitm7dyrvvvssLL7zAu+++67Sc6aJhZA3DyDYty/Tp0wkJCXE8qlSpUmTxi4jk15qjyRxNycTHbKJbtSA8S2E5lLrlvank74nFBj8eTXZ3OCIiIiIiIiJlwoVlWADMZPI0U9hAC2qzh8NU5lZ+YAwvkW7KnkAHmDPHXsJFCpdbk+hjx47liSeeoG/fvtSvX5/+/fvzyCOPMH36dAAiIyOB8z3Ss5w8eTJb7/Qs48ePJz4+3vE4dOhQ0b4JEZE82n0unS2n0gDoEhNIOZ/SeVQzmUy0iw4A4I8z6cSlZro5IhEREREREZHS78IyLLXYy0+0YgoT8cTKEvrQgB2s4lYmT4bKlZ1fGx0NS5dq0NCi4tYkekpKCh4eziGYzWZsNhsA1atXJzIykh9++MExPyMjg3Xr1tGiRQuXbfr4+BAcHOz0EBFxt7PpVr4+mARAs3A/rgrxcXNEl6dygBdXhXhjAD8eS3F3OCIiIiIiIiKlXuvWEF3ZYBhv8DuNuJFfOEcI9/ABd/Mh50yhVKkCEybAgQOwZg0sXmz/d/9+JdCLkltronft2pXnnnuOqlWrcs0117Bt2zZmz57NkCFDAHtvx9GjRzNt2jSuuuoqrrrqKqZNm4a/vz/33HOPO0MXEcmzTJvBZ/sTSLcZRAd4clMlf3eHVChuivJnb3wGe+IzOJpsoVKAl7tDEhERERERESm1zHEn+DVyKFFHVgCwmpsZxEIOUdVluZa2bd0S5hXJrUn0V155haeffprhw4dz8uRJKlWqxLBhw3jmmWccy4wbN47U1FSGDx/O2bNnadasGd9//z1BQUFujFxEikpsbCxxcXGF2maFChWoWrVqobaZH6uOJHMi1Yqfp4k7qgVhzmFMh9Kmop8n14b68OeZdNYdTeHuq0LcHZKIiIiIiIhI6fT55zB0KFFxcVg9vXkuYDqT4kdj/FdIJDrankBXb3P3cGsSPSgoiDlz5jBnzpwclzGZTEyaNIlJkyYVW1wi4h6xsbHUrVuXlJTCLQ/i7+/Prl273JJI33kmnW1x9jrod8QEEexdOuug56RVpD87z6ZzMMnCgYQMqgV7uzskERERERERkdIjMREeeQTmz7c/b9AA8/vvM6FefW5abx9sNCrKXupFA4a6j1uT6CIiF4qLiyMlJYWnXp1PTK3ahdLmwX92M3XkfcTFxRV7Ev10WibfHEoEoEWEH9XLYIK5nI+ZxhV8+e1UGuuOpRAT5IWpjPS0FxERERERESlSGzZg9O+P6d9/MUwmDt31GJUXPIvZ3wczKtdSkiiJLiIlTkyt2tRu0MjdYVyWDKvBZ/sTsdigaqAXraLKRh10V1pE+LPjdBrHUjLZl2ChVkjZ+7FAREREREREpNBYLDB5Msb06ZhsNg5SlQHGIn78qA3RP8PLL6tsS0nj4e4ARETKGsMw+Do2kVNpVgL+q4PuUYZ7Zwd4edCkgh8APx1PwTAMN0ckIiIiIiIiUkLt2gXNm8Nzz2Gy2VhEfxqwgx9pA8CRI9CrFyxb5uY4xYl6oouIFLJNJ1L5+1wGHia4s3owgV5l5/fKXbt2uZzuiwceVOJ4Sibfb9tFRdLy1J67B30VERERERERKQ7WTIN/H32N6vPG4mlJ46xHKA/YXmcpvZ2WMwwwmWD0aOjWTXXQSwol0UVECtG++AzWHbMPjNohOpDoQC83R1Q4Tp88DiYT/fr1y3GZ2x9+mjaDHubLXUd5rV/7PLXrzkFfRURERERERIrD128fJWDkYNqkfw/Ad3RgsO0djlHJ5fKGAYcOwfr1qoteUiiJLiJSSOLSMvnioH0g0UZhvjSq4OvmiApPUnw8GAYjn32Rhtc3c7mMzWTmjGEjul4jXlu9De+M5FzbdOegryIiIiIiIiLFYdPYpTR7YRhhnCEVX8Yyi9cYAVy67OuxY0Ufn+SNkugiIoUg2WLjk30JpFsNogM8aR8d4O6QikTl6jVzHfT1QKKFI8mZWCtU4eowH0xluBa8iIiIiIiISI7i47GNfIgb338PgC1cRz/eZzd18txEVFRRBSf5VXYK9YqIuInFZvDpvwnEZ9go5+1BjxrBmD2uzORx5QBPPEyQnGlwNt3m7nBEREREREREit+6ddCgAR7vv4cVD6YygRZsyHMC3WSCKlWgdesijlPyTEl0EZHLYBgGKw4mcjQlE1+zibtqhuDveeXuWr08TET5229yik2yYBiGmyMSERERERERKSbp6TBuHNx8M8TGkhheg5v4kaeZigXvPDWRdUP3nDkaVLQkuXIzPSIil8kwDL4/nMzucxmYTdCjRjChvjrCqTe6iIiIiIiIXHH++ANuuAFmzbKPDHrfffz+zu9soGW+momOhqVLoUePIopTCkQ10UVECmjdsRS2xaUB0CUmiKqBXm6OqGTI6o1+JDmT2CQL5X08VBtdREREREREyiabzd5tfPx4yMiAChXgrbege3daWO1J8SNH7Hn1i5lMULkyLFwIJ0/aa6C3bq0e6CWRkugiIgWw6UQKm06kAnB7lUDqlvdxc0QlS+UAT46lZDp6o6uHvoiIiIiIiJQ5sbEwaBCsWWN/3rkzzJ8PERGAPRn+8svQq5c9YX5hIj2rr9nLL0O7dsUbtuSfyrmIiOTTrydTWXs0BYCbK/nTqIKvmyMqeVQbXURERERERMosw4APPoAGDewJdH9/eOMN+PJLRwI9S48e9vIslSs7N6GyLaWLeqKLiOTDxuMprDtmT6C3iPCjWYS/myMqudQbXURERERERMqcM2ewPTgcj48/AiChbjN8P3mPDaeu4tiS8yVZANavh2PH7NP27YMNG84/V9mW0kVJdBGRPDAMg5+Op/DzcXsJl1aR/rSM9HNzVCWbaqOLiIiIiIhImbJyJal9BuF35giZmJnCM0zb9SQ09MRqPb9YWJj939Onz0+LjraXbrn77uINWQqHyrmIiFyCzTBYeSTZkUBvE+VPqyh/JYTzoHKAJx4m7L3RM2zuDkdEREREREQk/1JTYfRoaN8evzNH2MNVtGADz/IMVpwT6GBPnl+YQAf74KK9esGyZcUWtRQiJdFFRHJhsRks35/Ib6fSAGhXOYDmkSrhkldeHiYi/ew3PR1SbXQREREREREpbbZtg6ZN7d3Igbk8SGO2sZkb8tVM1uXw6NFkS7pLyackuohIDpItNhbvjWdvfAZmE3SvFsT14Srhkl+VAzzxAJIsBufUG11ERERERERKA6sVnn8emjWDnTtJD42kI18zgrmkEFCgJg0DDh2y10qX0kU10UVEXDiabGH5/kQSLTZ8zSZ61QgmOtDL3WGVSt5mE5H+nhxNyeRQkoVy3qqNLiIiIiIiIiXY/v0wYAD89JP9+Z13suK2N/n2fxUKpfljxwqlGSlG6okuInKR3+PS+GBvPIkWG2E+ZgZcXU4J9MuU1Rs9Ub3RRUREREREpKQyDFi4EBo2tCfQAwPhnXfg008Jq104CXSAqKhCa0qKiXqii4j8J91q44fDyfx5Jh2Aq0O86RwTiI9ZvzdeLm+ziQh/M8dSrBxKyqSctz5TERERERERKUHi4uCBB2D5cvvzli3hvfegenUAWreG6Gj7AKEFHe7LZLK30bp1IcUsxUZZDBER4EiyhXf+PsefZ9IxAW2i/LmzepAS6IWocoAXJiDRYiNevdFFRERERESkpPj6a7j2WnsC3csLpk+HdescCfQs999/eQl0gDlzwGy+vHCl+Kknuohc0WyGwcYTqfx0LAUDCPb2oGtMEFVUvqXQ+ZhNRF7QG12fsIiIiIiIiLhVcjKMHQvz5tmf160LH3wAjRs7LbZsGYwaBYcPu27GbLaPQ5olLMz+7+nT56dFR9sT6D16FF74UnyURBeRK9a5dCsrDiZyODkTgHrlfegQHYCvp3qfF5XKAV4cT7GSYLER7OXn7nBERERERETkSvXrr9C/P+zZY38+apS9B7rf+WtVqxWeew4mTsy5mcmT4YknYMMG+4ChUVHny7WsX+88TT3QSy8l0UXkivTXmTS+P5RMus3A28PEbVUCuCbUN0+vjY2NJS4urtBi2bVrV6G1VdL5/Fcb/XiKlZSAwhuURURERERERCRPMjNh2jSYMsWeJa9UyT6YaPv2TostWwYPP2yvgZ4TkwnefhsmTIC2bbPPdzVNSicl0UXkipKWaeP7w8nsPGsfPLRygCddY4Io55O3n4NjY2OpW7cuKSkphR5bUlJSobdZEkUHeHEixUqmtz/Vm7RwdzgiIiIiIiJypdi71977/Jdf7M/79IG5cyE01GmxZcugV69L1z83DDh0yN7jXAnzsk1JdBG5YsQmWVhxIJEEiw0T0DLSnxaRfnhkje6RB3FxcaSkpPDUq/OJqVW7UOLatOZ75s+YQlpaWqG0V9L5mE1E+Jk5nmql3bDH3B2OiIiIiIiIlHWGAW++CWPGQEoKhITYk+d3331+xM//WK32yi75GUD02LFCjldKHCXRRaTMM3t6sZcQvt8bD0A5bw+6VguickDBh7aMqVWb2g0aFUp8B/fuLpR2SpPoQE+Op2RS8/rWnDVOuDscERERERERKatOnIChQ2HFCvvzm2+2l2+pWtXl4uvX5zyAaE6ioi4vRCn5NHqeiJRpmWYv/rfwa/abQgCoH+rD4DrlLiuBLpfPx+yBb5r9R419BLs5GhERERERESmTvvgC6te3J9C9veHFF2HlyhwT6FYrrFqV9+ZNJqhS5fxAolJ2qSe6iJRZcWlWzpWvRnSYB56GlS41ylGnnI+7w5L/+CWfJtkzgDNefhxOshAdqB82REREREREpBAkJsIjj8D8+fbnDRrA++/bE+ouWK3w3HPw8stw5kz+VjVnDpjzNsyalGLqiS4iZY5hGBxItLD7XAZ4eLBv80+04LgS6CWM2ZbJb18uAeDn44U/UKuIiIiIiIhcgTZsgEaN7Al0kwnGjoVff82WQLdaYe1ae649NBQmTsxfAj06GpYuhR49CjV6KaHUE11EypRMm8Hucxmcy7AB4JdyhgXDe/Hgr7+6OTJxZe2COTS7sx/7Ey0cSbaozI6IiIiIiIgUjMUCkyfD9Olgs9lLtixaBG3aYLXC+rVw5AicOgUHDsDixfb/F8TkyTBhgnqgX0mURBeRMiPDarDzbDrJmQYeQK0QL86cPIXNanV3aJKDs0djqUQyRwjk52Mp3FUrxN0hiYiIiIiISGmzaxf07w+//WZ/3r8/vPIK1sAQnptSsDItrlSpYi/fot7nVx6VcxGRMiE108aOM/YEupcHXBvmQ0U//U5YGlQnHhPwb6KFo8kWd4cjIiIiIiIipYVhwKuvQpMm9gR6+fLw8cewaBHLVoUQEZH/Mi05eeop2L9fCfQrlZLoIlLqpVhs/HEmnXSrga/ZRP1QH4K8tHsrLfyxcm2ovV69aqOLiJR806dP5/rrrycoKIjw8HC6d+/O7t273R2WiIiIXGmOHoXbb4eHHoK0NM407cCyyX8w50hvHn4YevaE06cLb3Xt2ql8y5VM3TRFpFRLzbTx59l0LDYI8DRRr7wP3maTu8OSfGoe4c+fZ9LZl2DhWIqFKH/VRhcRKanWrVvHiBEjuP7668nMzGTChAl06NCBnTt3EhAQ4O7wRERE5EqwdCkMGwZnzmDx9OVp75nM3DICY0vRdKirUgVaty6SpqWUUBJdREqttEwbf57JwGIDf08T14T64OWhBHppFOprpl55H/46m87Px1LpVVNJdBGRkurbb791ev7OO+8QHh7Ob7/9xk033eSmqEREROSKEB9v73n+3nsAbPNowj2Z7/N3Zt0iW6XJZK+Drl7oVzbVOxCRUinDavDX2QwybAZ+ZhPXlFcCvbRrGemPCfgnIYPjKZnuDkdERPIoPj4egNDQUDdHIiIiImXaunUYDRrAe+9hxYOpTKCZbSN/U3QJ9LAwe6d31UEXJdFFpNSxGQZ/n8sgzWrgY7b3QFcJl9Ivqzc6wE+qjS4iUioYhsGYMWNo1aoV1157bY7Lpaenk5CQ4PQQERERyZP0dGyPjcO4+WZMsbHsowY38SNPMxUL3kWyytBQmDwZTpxQAl3sVM5FREoVwzDYl2Ah0WLDbIJrynvjowR6mdEi0o+dZ9P5J97eGz3SX4cpEZGSbOTIkezYsYOffvop1+WmT5/O5MmTiykqERERKTP++INzXftR7uAOAN7mPh7hJZIIKvRVVawI994L3brZ65+rfItcSNkJESlVjqVYOZlqBaB2OW/8PHVDTVkS5uvpqI2+/lgyvWuG5Ov1sbGxxMXFFWpMFSpUoGrVqoXapohIWfDQQw/xxRdf8OOPPxIdHZ3rsuPHj2fMmDGO5wkJCVSpUqWoQxQREZHSymbDNnsOtifGU86awSkqcD9v8TndC3U1SpxLXimJLiKlxrl0K/sTLQBUD/KivI+ObmVRy0h/dp5NZ1+ChaPJFioF5G2Q0djYWOrWrUtKSuGWgvH392fXrl1KpIuI/McwDB566CGWL1/O2rVrqV69+iVf4+Pjg4+PTzFEJyIiIqXeoUOc7DiQ8L/W4AGsoDP3MZ+TRBRK8wMHQvv2ULmyEueSd0qii0ipYLEZ7I3PACDc10yUv45yZVWor5lrQn3480w6Px1P4a489kaPi4sjJSWFp16dT0yt2oUSy8F/djN15H3ExcUpiS4i8p8RI0awePFiPv/8c4KCgjh+/DgAISEh+Pn5uTk6ERERKa2sVtj19GJiZg4n3BpPMv48wku8xf1A4ZRx/fhj6N27UJqSK4yS6CJS4mXVQc+wga/ZRI1gL0wm1UEvy1pG+vPXmXT+TbBwJNlC5Tz2RgeIqVWb2g0aFV1wIiJXuHnz5gHQtm1bp+nvvPMOgwYNKv6AREREpNSyWmHtWnjv/87SacVw7rItAWATzejPe/zDVYWynipVYM4cDRIqBackuoiUeKfSrJxOs9dBv7qcN2YPJdDLuvI+ZuqH+rDjTDo/HUuhT6381UYXEZGiYxiGu0MQERGRUsxqhfXr4bPP4K23oHnKShYyiGiOkImZZ3ma55iAtQBpy4AAe0/zW26B06ftNc9VtkUKg5LoIlKipWXa+DfBXge9aqAnQV4aSPRK0SLSnz/PpLM/0cLhJAvRgXnvjS4iIiIiIiIli9UKzz4Ls2dDYiL4ksp0xjOalwHYw1X04302c0O+2w4MhLFjYcIEJculaCgbJSIlVlYZF6sBQV4eRAfod78rSTkfM/XD7IPQ/XS8cAcLFRERERERkeKzdCkEBcHkyfYEeiO2sYWmjgT6XB6kMdvynUD387O3ee4cPPOMEuhSdJSREpES60y6jXMZNkxArRDVQb8SNY/w54/T6RxItHAoyUIV9UYXEREREREpVcaNg1mz7P/3wMpYZjGFZ/DGwnEiGMICvqFTvtsNDoZTp8Dbu5ADFnFBPdFFpESy2gxHGZfKAZ74e2p3dSUq52OmQZgvAD8dU290ERERERGR0uSjj84n0Kuxn7W05XnG442F5XSnPn8UKIEO8M47SqBL8VFWSkRKpEPJmWTYDHzMJqIDddPMlax5pB8eJjiYZCE20eLucERERERERCQXViusWgU9ekDfvgAGA1nIdhrSmp9IJJDBLKAHy4ijYr7br1IFPv3U3r5IcVFmSkRKnEyzN6eTMwGoEeSFuRDKuOzateuy2yjMdiTvQrzNNAzzZVtcGuuPJ3NvUDl3hyQiIiIiIiIuLFsGDzwAp0/bn4cRx5s8QA+WA/ATLenPexyger7a9feHoUPhzjuhdWvVPpfipyS6iJQ4yYEVMYBQHw9CfS/vyHj65HEwmejXr1/hBPefpKSkQm1Pctc8wo8dp9M4lJTJwcQMYoJ0z56IiIiIiEhJsmwZ9Ox5/nlHvmYBQ4jkBBl48QxTmMVYbOT9Oj8wEMaOhQkTlDgX91ISXURKlOpNWmDxCcQEVAu6/EEkk+LjwTAY+eyLNLy+2WW3t2nN98yfMYW0tLTLbkvyLvi/3uhb49JYfyyFqoEaaFZERERERKSkyMiw90AH8CeZWYxlOPMA2Eld7uUDfqdxntry8oJu3eB//4O2bZU8l5JBSXQRKTEM4LaHJgAQ4W/GrxAHE61cvSa1GzS67HYO7t19+cFIgTSP8GP76TQOJ2dyMMlCNfVGFxERERERcRurFdauhblz4YsvIDMTmrKZ9+lHbfYAMIdRjGc6afhdsr2gIBgzBp5+WolzKXmURBeREuMUfsQ0vAEMG1UCfN0djpQwQd5mGlXw5bdT9t7oMeqNLiIiIiIi4hZLl8J990FCgv25mUyeZhrPMAVPrByhEoNYyEra59qOt7e9x7lqnUtJpyS6iJQINsNgLyEA+KWcxdsc4OaIpCRqHuHP9rg0jiRnciDRQvVg9UYXEREREREpDlk9zydMgF9+OT+9Fnt5j/7ciH3iEvownLmcJTTX9p5+GiZOVOJcSgcl0UWkRPjrTDrJJm9S4s8SmnEGiHZ3SFICBXp50KiCL1tOpfHT8RSqBak3uoiIiIiISFHISpqvXg3r19sT5xkZFy5hcD9v8RKPEEAK5whhOHP5kLuB3K/TliyBPn2KMHiRQlZ4BYdFRArIZhhsOJECwLqFr+Bh2NwckZRkN0b442mCI8mZxCZZ3B2OiIiIiIhImbNsGUREwK23wrRp9iT6hQn0cE7wBXfwJsMIIIU1tKUBO/iQe7hUAn3sWCXQpfRREl1E3G7PuQzOptvwMqxs+niBu8OREi7Qy4MGYfaa+RuOp7o5GhERERERkbJl2TLo2RNOn3Y9vytf8Af16coK0vHmUV6gHas4RNVc2/X3h48/hpkziyBokSKmci4i4laGYbDxv17oVUgiIzXZzRFJadAswo/f49I4mGThSLKFygFe7g5JRERERESkVLNaYdUq6NvX9fxAEnmJRxjKfAB2UJ97+YA/qX/JtitUgCNH7AOJipRG6okuIm51INHCiVQrXh5QlUR3hyOlRIi3mWtCfQDYcDzFzdGIiIiIiIiUXhkZMGgQ+PnBbbeBxUXVzOZs4HcaMZT52DAxi8e4ns15SqADvPGGEuhSuimJLiJutemEvRxHwzBfvFEtdMm75hH+mIB9CRZOpGS6OxwREREREZFSI6vX+Y03go8PvPuu6+S5Jxae5SnW05qa/MtBqnILqxnHLDLwueR6wsLg00+hR48ieBMixUhJdBFxm6PJFg4mWfAArg/3c3c4UsqE+pqpU87elSGrJJCIiIiIiIjk7sJBQ3/5Jefl6rCLjTTnKZ7DjI1F9KcBO1hH21zb9/a2J81XroQTJ5RAl7JBNdFFxG2yeqHXC/UhxNvs5mikNGoe6c+ucxn8fS6DMB3SREREREREcpU1aGjuDEbwGrMYix9pnKE8w3iDpfTO9VU33ghTp0LbtmDWJb6UMco4iIhbxGdY2RufAUAz9UKXAgr386RWiDf/xGewn2B3hyMiIiIiIlJiWa0wYEDuy0RxlHcYzG18D8B3dGAICzhK5RxfExwMb78NvXPPsYuUakqii8hliY2NJS4uLt+v20sIhimEUCONQ7t2cAjYtWtX4QcoJd7l/t3D8OYfUyRH8adcVJVCikpERERERKRsefZZSE7OeX5PlvIGwwjjDKn4Mo6ZvMYIDBfVoL29oUsXGD5cPc/lyqAkuogUWGxsLHXr1iUlJX/1qD29fXj8m98JLA//N/Z//LX6K6f5SUlJhRmmlFCnTx4Hk4l+/fpddltD5n7CVTe2pc3Akdp+RERERERELmK1wuzZrucFE88rPMQA3gPgN5rQj/f5m7rZlm3WDJ57TolzufIoiS4iBRYXF0dKSgpPvTqfmFq18/y6NN9gkoIr4GG1MGrceEzjxgOwac33zJ8xhbS0tKIKWUqQpPh4MAxGPvsiDa9vdlltWbz8iAeadr+XtAM7CidAERERERGRMsBqtQ8impiYfV5rfmQRA6jGQax4MJ3xTOEZLHhnW7ZbN/jss6KPV6QkUhJdRC5bTK3a1G7QKM/Lbz+dBhaD6BA/qlQ+/7qDe3cXfnBS4lWuXjNf248rhmGwfu8RPIPDIKxS4QQmIiIiIiJSilmt9hIuU6fa/38hb9J5lqd5jBfwwGAfNRjAIjbQMls7/v6wYAH06VNMgYuUQEqii0ixSrTYSLIYmIAIP+2CpHCYTCYsh/ZiviYMykdisRl4eZjcHZaIiIiIiIhbLFsGAweCq2qX1/An79OPRmwHYD5DGM0ckghyLOPhAd27q+a5SJbsIwOIiBSh48mZAFTwNeNtVpJTCo/13EmO7v4TPMycSMl0dzgiIiIiIiJusXQp9OyZPYFuwsYjzOY3rqMR2zlFBbqznKHMdyTQzWZ4+mnIyIBPP4V27ZRAFwEl0UWkGGXaDOLS7PeQRfrrKCyF76f35wJwNCUTm2G4ORoREREREZHi9dFH0Lt39unRHGIltzKbR/EhgxV0pj5/8DndHcvceCOkp8OUKUqci1xMSXQRKTan0qzYAH9PE0Fe2v1I4dvx3WdgScdig1Op1ksuLyIiIiIiUlY8+ij07Zt9+t0s5g/qcwtrSMafYbxOV77kBJFOy02fruS5SE5UkFhEis3JVHuJjXA/MyaTSrlI4bNmWuDMMYioxtGUTG1rIiIiIiJS5lmt0Lo1bNzoPL0cZ5nLcO5mCQC/cAP9eY+9XJ2tjehoexsi4pq6gopIsUi+YEDRir76/U6K0NnjeJggJdPgXIbN3dGIiIiIiIgUmaVLwdc3ewK9HSv5g/rczRIyMTORSbTkZ5cJdICXX1YvdJHcKIkuIsXi5H+lNcr7eGhAUSlaNiuRfvazvyPJGmBURERERETKprFj7fXPMy+47PEllZcYzUraE80R9nAVLdjAFCZidVGQwtfXPoBojx7FGLhIKaTuoCJS5GyGwak0+1E9wk+7HSl6UQGeHE2xEp9hI9liI0A1+EVEREREpIywWqFPH3vy+0KN2Mb79OMadgIwlwcZyyxSCHDZTq9esGSJeqCL5IWyCiJS5M6m27DYwMvD3hNdpKj5mj0I+29bO5ai3ugiIiIiIlL6Wa0waRJ4ezsn0D2w8jjP8wvNuIadHCeCTnzFCObmmEBfsgQ++UQJdJG8UpdQESly5wcU9dQgj1JsogI8OZ2ewalUKzFBBl4e2vZERERERKR0WroU+veHtDTn6dXYzyIG0JqfAFhOdx7gTeKomGNbH39sLwMjInmnLqEiUqQsNoMz6fbBHcP99BO3FJ9gLw8CPE3YgBOp6o0uIiIiIiKl06OP2pPezgl0g4EsZDsNac1PJBLIYBbQg2U5JtCDguw92JVAF8k/JdFFpEjFpdkHFA30NOHvqV2OFB+TyUSUv/2Gq+PJVgzDcHNEIiIiIiIi+XPHHTB7tvO0MOJYSi8WMphgEvmJljRgBwsZDGS/A9dshokT4exZDSAqUlAq5yIiRepUqj2JXkG90MUNKviZOZBoIf2/OyLCfLUdioiIiIhIyWe1QuvWsHGj8/Tb+YYFDCGK42TgxTNMYRZjseH6Wqd5c1i/XrXPRS6XuoWKSJFJs9pItNhLuVTw1W92UvzMJhMR//VG1wCjIiIiIiJSGixbBsHBzgl0P1J4lRF8QyeiOM5O6tKMX5jBEzkm0EePhg0blEAXKQxKootIkYn7rxd6iLcHPmYN6ijuEeVvP2OMz7CR/N+POiIiIiIiIiWJ1Qrffw+tWkHPnpCScn5eUzazjcaMYC4AL/Mw1/Ebv9M4x/YefRReeqmooxa5cqhrqIgUmVP/1UOvoBIa4kY+Zg9CfTw4k27jRGomNby83R2SiIiIiIiIw9Kl0L//xQOHgplMnmQazzAFT6wcoRKDWMhK2ufYlpcXfPCBBg8VKWxKootIkUix2EjJNDChJLq4X6S/J2fSMziZaiUm0MDsoTsjRERERETE/R59NPvAoQC12Mt79OdGfgHgI+7iQeZxltAc22rRAn78UeVbRIqCyrmISJHI6oVe3scDTyUsxc3KeXvgazZhNSDuv21TRERERETEnbp2dZVAN7ifN/mdRtzIL5wjhHt5n74syTGB7uUFS5bAzz8rgS5SVJREF5FCZxiGSrlIiWIymYjws2+Lx1M1wKiIiIiIiLhHRga88AL4+8OKFc7zwjnBF9zBmwwjgBTW0JYG7GAx9wKuO6fddRekpkKfPkUfu8iVTEl0ESl0SZkG6VYDDxOEKokuJUS4nycmIMlikKQBRkVEREREpJiNGwe+vjB2rD3xfaGufMEf1KcrK0jHm0d5gXas4hBVc2xvyRL46CP1PhcpDkqii0ihO+0o5WLGbFIpFykZvM0mwv77Ued4inqji4iIiIhI8Rk3DmbNAsNwnh5IIm8xlC/oRjin2EF9mrKF2TyKkUva7uOP1ftcpDgpiS4ihcowDEcSXaVcpKTJKulyKs1Kps24xNIiIiIiIiKXLyPDnkC/WHM28DuNGMp8bJiYxWNcz2b+pH6ObQUGwqefQu/eRRiwiGTj6e4ARKRsSc40SLPafy8v763f6aRkCflvgNE0q0FcmpVIfx0GRURERESkaHXo4PzcEwsTmcx4pmPGxkGqMpB3WUfbXNtp0QJ+/FHlW0TcQRkuESlUWb3Qy/l4YPZQKRcpWS4cYPRkqtXN0YiIiIiISFn3yCOwbt3557X5m4005ymew4yNRfSnATsumUB/9FH4+Wcl0EXcxe1J9CNHjtCvXz/CwsLw9/enUaNG/Pbbb475hmEwadIkKlWqhJ+fH23btuWvv/5yY8QikpMLS7mEqZSLlFDhfvbe54kWGymZGmBURERERESKRpcuMGdO1jODEbzKNhrTlN84Q3l68zEDWUQCIS5fX6mSvQxMejq88EJxRS0irrg1iX727FlatmyJl5cX33zzDTt37uTFF1+kXLlyjmVmzpzJ7NmzefXVV9m8eTORkZG0b9+exMRE9wUuIi6lZhqkWg1MQKiPkuhSMnmbTZT3sR/+1BtdREREREQKU0aGPeHt7Q1ffWWfFsVRvqEjr/IQfqTxPe2pzx8sxXVhcw8P+8ChR47AY4/Z2xIR93JrMdgZM2ZQpUoV3nnnHce0atWqOf5vGAZz5sxhwoQJ9OjRA4B3332XiIgIFi9ezLBhw4o7ZBHJRVz6+VIunirlIiVYhJ8nZ9MzOJmaSdVATzxM2l5FREREROTyjB2bvcd4T5byBsMI4wyp+DKOmbzGCIwc+rVefTXs3KmyLSIljVt7on/xxRc0bdqU3r17Ex4eTuPGjXnrrbcc8/fv38/x48fpcMEIDD4+PrRp04YNGza4I2QRyYWjlIt6oUsJV97HAy8PsNjgXLpKuohI6bR161b++OMPx/PPP/+c7t278+STT5KRkeHGyERERK4sGRlwzTXOCfRg4lnIQJbSmzDOsJXGXMdvvMpDOSbQH3kEdu9WAl2kJHJrEv3ff/9l3rx5XHXVVXz33Xf873//4+GHH2bRokUAHD9+HICIiAin10VERDjmXSw9PZ2EhASnh4gUvdRMGymZ/5VyUT10KeE8TCYq+tpvxjqRmunmaERECmbYsGHs2bMHsJ9X9+3bF39/fz755BPGjRvn5uhERETKPqsVevcGHx977/EsrfmR7TRkIIuw4sFzPMmNbGIX9Vy2YzZDSgrMnl1MgYtIvrk1iW6z2WjSpAnTpk2jcePGDBs2jPvvv5958+Y5LWe66DZ7wzCyTcsyffp0QkJCHI8qVaoUWfwict7p/0q5BHt74KVSLlIKhPvZf+w5m24jw2q4ORoRkfzbs2cPjRo1AuCTTz7hpptuYvHixSxcuJBPP/3UvcGJiIiUccuWgZ8fLF16fpo36cxgHGtpSzUO8i/VuYkfeYrnsJBzYfMlS+xtiUjJ5dYkelRUFPXqOf8KV7duXWJjYwGIjIwEyNbr/OTJk9l6p2cZP3488fHxjsehQ4eKIHIRudiZNHtJDJVykdIiwMuDQC8TBnAqTQOMikjpYxgGNpv9+Lty5Uo6deoEQJUqVYiLi3NnaCIiImXaxx9Dz55gsZyfdg1/8gvNGMcsPDCYzxAasp0NtMy1rcceg169ijhgEblsbk2it2zZkt27dztN27NnDzExMQBUr16dyMhIfvjhB8f8jIwM1q1bR4sWLVy26ePjQ3BwsNNDRIqWzWQm0WK/iA/1detuRSRfwv3sJV1OqaSLiJRCTZs2ZerUqbz33nusW7eOzp07A/ZxhXLqcCIiIiIFY7XCN99AlSrQp8/56SZsPMJsfuM6GrGdU1SgO8sZynySCMq1zUcfhVmzijhwESkUbs12PfLII2zatIlp06bxzz//sHjxYt58801GjBgB2Mu4jB49mmnTprF8+XL+/PNPBg0ahL+/P/fcc487QxeRC2T4BAAQ4GnCx6wkupQeFXzNmIDkTIOUTA0wKiKly5w5c9i6dSsjR45kwoQJ1KpVC4ClS5fm2OGksPz444907dqVSpUqYTKZ+Oyzz4p0fSIiIu6SkQEDBoCnJ3TqBIcPn58XzSFWciuzeRQfMlhBZ+rzB5/TPdc2TSZ7b/YLByIVkZLN050rv/7661m+fDnjx49nypQpVK9enTlz5nDvvfc6lhk3bhypqakMHz6cs2fP0qxZM77//nuCgnL/NU9Eik+GTyCgAUWl9PHyMFHex4Mz6TZOpVqJCdKPQCJSejRo0IA//vgj2/RZs2ZhNhftMTk5OZmGDRsyePBgevbsWaTrEhERcZexY3NOdN/NYuYynHLEk4w/Y5jNmzwA5D5GWGSkPRFfxIdqESlkbk2iA3Tp0oUuXbrkON9kMjFp0iQmTZpUfEGJSJ55+fqR4W3viR6qeuhSClX08+RMeganUq1UDfTMceBqEZGS6Ny5cyxdupR9+/YxduxYQkND2blzJxEREVSuXLnI1tuxY0c6duxYZO2LiIi4U0YGNG4MO3dmn1eOs8xlOHezBIBfuIH+vMderr5ku6NGwZw5hRysiBQLtyfRRaR0q3XDTWDywMfDRICnko9S+oT6eGA2QbrNIMFiI8RbPwaJSOmwY8cO2rVrR7ly5Thw4AD3338/oaGhLF++nIMHD7Jo0SJ3h+iQnp5Oenq643lCQoIboxEREXEtNRVuvBF27HA9vx0rWcggojlCJmae5WmeYwLWS6TXbroJfvgBvL2LIGgRKRa6b11ELkvdtvZeaKG+HurBK6WSh8lE2H+liE6mWt0cjYhI3o0ZM4bBgwezd+9efH19HdM7duzIjz/+6MbIsps+fTohISGOR5UqVdwdkoiIiJPu3cHf33UC3ZdUXmI0K2lPNEfYw1W0YANTmHjJBPrYsbBunRLoIqWdkugiUmAGUPemDoBKuUjpFu5n335Pp1mxGYaboxERyZvNmzczbNiwbNMrV67M8ePH3RBRzsaPH098fLzjcejQIXeHJCIi4tC9O3z+uet5DfmdLTRlNC8DMJcHacw2NnNDrm327w/p6TBzZiEHKyJuoXIuIlJg5/AmMLQiJpuVYG/9JielV7CXvSRRus3gTLqNChokV0RKAV9fX5dlUXbv3k3FihXdEFHOfHx88PHxcXcYIiIiTqxWe/LcVQLdAyuP8QLP8jTeWDhOBENYwDd0yrXNq66CXbs0cKhIWaOsl4gUWBx+AHhlJOOhUi5SiplMJir81xv9VGqmm6MREcmbbt26MWXKFCwWC2Dfl8XGxvLEE0/Qs2dPN0cnIiJSMlmt8M03UL8+eHqCq0NmDAdYw83M4Am8sbCc7tTnj0sm0Lt2hT17lEAXKYuURBeRAjv1XxLdOz3JzZGIXL6K//U+P5tuI9Omki4iUvK98MILnDp1ivDwcFJTU2nTpg21atUiKCiI5557rkjXnZSUxO+//87vv/8OwP79+/n999+JjY0t0vWKiIhcjqVLwc8POnWCP/90tYTBQBaygwbcxHoSCWQwC+jBMuLI+S4vLy9YsgS++KLIQhcRN1M5FxEpkPgMK0kmb2xWK94Zye4OR+Sy+Xua8DObSLUanEm3Eu6nQ6SIlGzBwcH89NNPrF69mq1bt2Kz2WjSpAm33nprka97y5Yt3HzzzY7nY8aMAWDgwIEsXLiwyNcvIiKSV1YrfP89DBsGuQ3JEUYcbzCMniwD4CdaMoBF7KdGjq9p2RImToRbblHvc5GyThkCESmQffEZAMTu2EJ45XLuDUakEJhMJir6mYlNyuRUqpLoIlJ63HLLLdxyyy3Fus62bdtiaCBmEREp4ZYuhXvugf8qn+Xodr5hAUOI4jgWPHmGKcxkHDZcZ8Z79oSPPlLiXORKogyBiBTIvgR7Ev3vn36gaZ/ebo5GpHBU8LUn0c9l2LCopIuIlED/93//l+dlH3744SKMREREpGQbOxZeeCH3ZfxIYRZjGcFcAHZSl368zzaauFzebIYPP4TeugQWueIoiS4i+WaxGRxMtP+Uv/unH0BJdCkj/Dw9CPA0kZxpEJdmdXc4IiLZvPTSS3lazmQyKYkuIiJXrEcegTlzcl+mKZt5n37UZg8AL/MwT/A8af+N/XUhkwkmTIBJk9T7XORKpSS6iOTbwUQLmQb4Gpkc37vT3eGIFKoKfmaSEzOJS7Xi7e5gREQusn//fneHICIiUqJ17QorVuQ830wmTzKNZ5iCJ1aOUIlBLGQl7V0u7+MDCQngrYsDkSuakugikm9ZpVwqkOrmSEQKX0VfMwcTM0mw2CjvocOkiIiIiEhpYLVC3bqwd2/Oy9RiL+/Rnxv5BYCPuIsHmcdZQnN8zeLFSqCLiJLoIpJPhmE4BhWtqCS6lEE+Zg+CvDxItNjI8AlydzgiIk7GjBnDs88+S0BAAGPGjMl12dmzZxdTVCIiIu6TlAQ33wxbtuS2lMH9vMVLPEIAKZwjhBG8xmLuAUwuX+HjY0+g9+hRFFGLSGmjJLqI5MupNCsJFhueJgg10t0djkiRqOBrJtFiI91XSXQRKVm2bduGxWJx/F9ERORKlZEBNWvC4cO5LxfOCd5mKF2x13hZQ1sG8i6HqOpy+SpV4K234NZbVf9cRM5TEl1E8uXf/0q5xAR5YY433ByNSNEI8zWzP9FCppcfwRUj3R2OiIjDmjVrXP5fRETkSjJ2LLzwwqWX68oXvM1QwjlFOt48yTRe4hEMPJyWCwiwDxr68MMq3SIirnlcehERkfP+TbD3fqserDMLKbt8zCaCvOyHyGtu6eLmaEREXBsyZAiJiYnZpicnJzNkyBA3RCQiIlL0une/dAI9gCTe5H6+oBvhnGIH9bmezczm0WwJ9EcesZeEeewxJdBFJGdKootInmVYDQ4n25PoNYJ0diFlW5iv/RB5bTsl0UWkZHr33XdJTc0+PklqaiqLFi1yQ0QiIiJF66OP4PPPc1/mRjaynYbcz9vYMDGLx7iBX/mDBo5lPD1hxgxITwcNISIieaFyLiKSZweTMrAZEOLtQXkfDw64OyCRIhTma+ZAYibVmjQnnaPuDkdExCEhIQHDMDAMg8TERHx9fR3zrFYrX3/9NeHh4W6MUEREpPBlZEDfvjnP98TCM0zhSaZhxkYsVRjAItbR1mm56tXh33+LNlYRKXsKlETfv38/1atXL+xYRKSE2/9fKZcawd6YTK5HMBcpK3zNHnhaUsn08uOk4e/ucEREHMqVK4fJZMJkMnH11Vdnm28ymZg8ebIbIhMRESkaH38MffrkPL82f/M+/WjKbwC8Rz8e4hXiKee0XOfOsGJFEQYqImVWgZLotWrV4qabbuK+++6jV69eTr1fRKTs2p9oH1S0epCXmyMRKR7e6UlkevlxAj93hyIi4rBmzRoMw+CWW27h008/JTQ01DHP29ubmJgYKlWq5MYIRURECk+3bvDFFznNNRjBa8xiLH6kcYby/I/X+YS7si35yCMq3SIiBVegJPr27dtZsGABjz76KCNHjqRPnz7cd9993HDDDYUdn4iUEGfTrZxNt+EBxCiJLlcIn/REUgIrchZfUjNt+HlqKBERcb82bdoA9rtDq1SpgoeH9k0iIlL2pKZCnToQG+t6fhRHWcAQbuc7AL6nPYN5h6NUzrbsxx9D795FGa2IlHUFSqJfe+21zJ49m5kzZ/Lll1+ycOFCWrVqxVVXXcV9991H//79qVixYmHHKiJutD/B3gu9cqAnPmZdrMuVwWy1cHT3n1SqfS174jNoGKY7r0Sk5IiJieHcuXP8+uuvnDx5EpvN5jR/wIABbopMRETk8nTpAl99lfP8nizlDYYRxhlS8WUcM3mNERg4X6v27GkfjNRsLuKARaTMu6yBRT09Pbnzzjvp1KkTc+fOZfz48Tz22GOMHz+ePn36MGPGDKKiogorVhFxo38T7fXQqwd5uzkSkeL116ov7Un0c+lKootIifLll19y7733kpycTFBQkNN4JSaTSUl0EREplUJCICHB9bxg4vk/HmYgiwDYSmP68T67qOdYxscHpkyB0aPBW5evIlJILqs76ZYtWxg+fDhRUVHMnj2bxx57jH379rF69WqOHDlCt27dCitOEXEjq80gNvH8oKIiV5I/Vn0JwP5EC2lW2yWWFhEpPo8++ihDhgwhMTGRc+fOcfbsWcfjzJkz7g5PREQkXzIy7D3Gc0qgt+ZHttOQgSzCigfP8SQ3sskpgV6zJqSlwbhxSqCLSOEqUBJ99uzZ1K9fnxYtWnD06FEWLVrEwYMHmTp1KtWrV6dly5a88cYbbN26tbDjFRE3OJxsIcNm4O9pIsJP98HJleXU/r0EGBZsBvwTn+HucEREHI4cOcLDDz+Mv7+/u0MRERG5LOPG2XuQ21z0WfEmnRmMYy1tqcZB/qU6N/EjT/EcFs5nyj08YPfuYgxaRK4oBUqiz5s3j3vuuYfY2Fg+++wzunTpkm1Ao6pVqzJ//vxCCVJE3Gv/BaVcLrxVXORKEUEKALvPKYkuIiXHbbfdxpYtW9wdhoiIyGV55BGYNcv1vGv4k19oxjhm4YHBfIbQkO1soGW2ZT/5RLXPRaToFKgm+t69ey+5jLe3NwMHDixI8yJSwmQNKlo92MvNkYi4RwQp/EsI+xMyyLAaeJv1Y5KIuF/nzp0ZO3YsO3fupH79+nh5OR+n77jjDjdFJiIicmlJSVCjBpw6lX2eCRujmcN0xuNDBqeowP28xed0d9nWp59Cjx5FG6+IXNkKlER/5513CAwMpHfv3k7TP/nkE1JSUpQ8FylDki02TqRaAQ0qKleuQCyU9/HgbLqNfQkZ1C3v4+6QRES4//77AZgyZUq2eSaTCavVWtwhiYiI5Ml110FOFYCjOcRCBtGO1QCsoDNDeZsTRGZbtmZNewkX9UAXkaJWoHIuzz//PBUqVMg2PTw8nGnTpl12UCJScuxPtPdCj/AzE+B1WWMRi5RaJqB2iD1xvvtcunuDERH5j81my/GhBLqIiJRUAQE5J9D78iE7aEA7VpOMP8N4na586TKB3qQJ/POPEugiUjwKlBE7ePAg1atXzzY9JiaG2NjYyw5KREqO/Qn/1UMPVi90ubLVLm//DuxLyMBiM9wcjYiIiIhI6VOhAqSkZJ9ejrMs5m4+5B7Kc45fuIHGbONNhmHv0uLsjjvgt9+KPl4RkSwFKucSHh7Ojh07qFatmtP07du3ExYWVhhxiUgJYBiGoyd6DZVykStcpJ8nwd4eJGTY+Dchg9rlVNJFRNwvOTmZdevWERsbS0aG8+DHDz/8sJuiEhEROS8jA+bMgYkTIS0t+/xbWMW7DCSaI2Ri5lmeZhpPkkn2MbkeeMDelp9fkYctIuKkQEn0vn378vDDDxMUFMRNN90EwLp16xg1ahR9+/Yt1ABFxH1OpFpJyTTw9jBROaBAuwuRMsNkMlE7xJvNp9LYfU5JdBFxv23bttGpUydSUlJITk4mNDSUuLg4/P39CQ8PVxJdRETcbtw4mDXL9TxfUpnGkzzCHAD2cBX9eY9faZZt2YAA+0CkIiLuUqByLlOnTqVZs2a0a9cOPz8//Pz86NChA7fccotqoouUIf8m2Hu0VQ3ywuyR/RY6kStNVuJ8X0IGVpV0ERE3e+SRR+jatStnzpzBz8+PTZs2cfDgQa677jpeeOEFd4cnIiJXuNwS6A35nS00dSTQ5/E/GrPNZQK9alUl0EXE/QrUtdTb25uPPvqIZ599lu3bt+Pn50f9+vWJiYkp7PhExI3Ol3LJfhudyJWocoAnAZ4mkjMNDiZZqKGxAkTEjX7//XfeeOMNzGYzZrOZ9PR0atSowcyZMxk4cCA9evRwd4giInKFyshwnUD3wMpjvMCzPI03Fo4TwX3M52s6u2ynWjXYv79oYxURyYvLqs9w9dVXc/XVVxdWLCJSgqRbbRxJygRQolDkPyaTiatCfPj9dBp74zP03RARt/Ly8sJkst8pFhERQWxsLHXr1iUkJITY2Fg3RyciIleirPrnTz2VfV4MB1jEAG5iPQDL/5+9+w6PqkzfOP49M5mZ9EJCQguhIyqgAquoKKzKYkURxAKK4lpZKfayCopiQ9FV7A1RWBZib/izIHZpikiTFjoE0ieZen5/DEQjCYSQyZkk9+e65iJz5sw7DwNJzrnnPc/LuVzF8+TStNKxevSABQvCWKyIyEGoUYgeCAR49dVX+eyzz9ixYwfBYLDC459//nmtFCci1tlQ5CMIpLhsJLvsVpcjEjE6JTtDIXq+l/6tzPIAS0Skrh199NEsWLCATp060a9fP+6++25yc3N5/fXX6dq1q9XliYhIIzNmDDzxRGWPmFzGazzJDSRSRBHx3MCTvMoIYN9jacOAN96Aiy4Kb70iIgejRiH66NGjefXVVznzzDM58sgjFSCINEDrinwAtE3QTFuRP8uKd+CyGRT7g2xx+2kZp3ZHImKNBx54gKKiIgDuu+8+LrvsMq699lo6dOjAK6+8YnF1IiLSWHi9kJpaed/yVHJ5jqs5n2wAvuYELmUa62hX6Vgffgj9+4Nd87hEJMLUKESfOXMms2bN4owzzqjtekQkApimWb6oqNpViFRktxm0S3SwPN/LqnyvQnQRsUzPnj3Lv27atCkffvihhdWIiEhjNHZsqH1LZQbwES9zBc3Zho8o7uZeHuYWglSekL/5Jpx+evhqFRE5FDVeWLRDhw61XYuIRIg8T5ACbxCbAa3jFRCK/FWnZFcoRC/w0LdFrK7IEhEREZFGp127yhf9jMHNI9zM9UwF4De6MIzpLOaYKsfq1UvtW0QkstUoRL/xxht54okneOqppxQciNQjOTk55ObmHng/4sFoQlKwjF9/XlzlfsuXL6/N8kTqjXaJDuxG6AOn3LIATWMOaZ1uEZEaadu27X6PxdeuXVuH1YiISGNRWgqJieD37/tYT35iOsPozCoAnuAGbuNByoipcrxzzoF33glXtSIitaNGZ/1ff/01X3zxBR999BFHHHEEDkfFmarZ2dm1UpyI1J6cnBy6dOmC2+0+4L6XPfEGh/Xpz5tPPsQ1rz11wP2LK2t+J9KAuew22iQ4WFPoY1WBVyG6iFhizJgxFe77fD4WL17Mxx9/zM0332xNUSIi0qCdcw68996+2+34uZ1J3MMEogiwmRaM4FX+j9OqHOuKK+CppyCm6nxdRCRi1OisPzk5mfPOO6+2axGRMMrNzcXtdnPXUy+R1aFzlfuZGOxqGmrXdNHwyxh+0YVV7vv9F3N56aF7KSsrq/V6RSJdpyRXKETP93BCs1iryxGRRmj06NGVbn/66adZsGBBHVcjIiINXVXtW9rzO68znN58D8AshnANz5JHkyrHOvtseOmlcFUqIlL7ahSiv/LKK7Vdh4jUkawOnenc7agqH8/3BNiV58Vhg8O7HLbfy8Q3rF4ZhgpF6ocOSU6MjbC9NECBN0CSs/IFkkRE6trpp5/O7bffrmN2ERGpNU2bwr6dQU2u5EUeZyzxlFBAItfzNG9wCVD1eWT79vDuu+GsVkSk9tlq+kS/38///d//8dxzz1FUVATAli1b1NZBpJ7L9wYBSHHateaByH7EOWy0jAt9Fr0632txNSIif5g9ezZNmlQ9+09ERORgpKfvG6Cns513GMgLXEU8JXxBX7qylDcYxv4C9NGj4fffw1uviEg41Ggm+oYNGxgwYAA5OTl4PB5OO+00EhISePjhhykrK+PZZ5+t7TpFpI7keQIAJLtq/BmbSKPRKdnFphI/qwq89ExXM0cRqVtHH310hQ+8TdNk27Zt7Ny5k6lTp1pYmYiINASlpdCiBeTnV9x+Nu/yIleSzk48OLmT+3mMcZhVzNNMTIQ77oCxY8HpDH/dIiLhUKMQffTo0fTs2ZOff/6Z1NTU8u3nnXceV155Za0VJyJ1yxMwcftNAJJdak0hciCdkpx8vrmEjcU+3P4gsVH68ElE6s65555b4b7NZqNp06b07duXww47zJqiRESkQTjrLPjgg4rb4ijmccbyT14E4Be6MozpLKVbpWPExkJenoJzEWkYahSif/3113zzzTc4//KTMCsri82bN9dKYSJS9/L3zEKPjzJw2NTKReRAkl120mPs7CgN8HuBl26p0VaXJCKNyD333GN1CSIi0kCUlsK//gVz5uw78xzgOL5jOsNoz1qCGEzmRv7NfXio/Pj3zDPh/ffDW7OISF2qUYgeDAYJBAL7bN+0aRMJCQmHXJSIWGNvP3TNQhepvk5JLnaUulmlEF1E6tjmzZuZM2cOq1atwul00rlzZy644AJSUlKsLk1EROqBQCAUdF90UShEr0wUPu7mXu7gAewEySGTS5nGPPpWOe7MmTB0aHhqFhGxSo2uOz/ttNOYMmVK+X3DMCguLuaee+7hjDPOqK3aRKQOmaZZPhM9Rf3QRaqtU3Loqqz1hV68AdPiakSksZg6dSrt27dnzJgxvPHGG7z88stce+21tGrVihkzZgCh3+2LFy+2uFIREYlEs2eH2qyce27VAXpnVvAdvfk3E7ET5HWG0Y1fqgzQ27cHv18Buog0TDVKyh5//HHmzZvH4YcfTllZGRdffDFt2rRh8+bNPPTQQ7Vdo4jUgWKfid8EuwHxDoXoItXVNNpOktOG34S1RV6ryxGRRuCDDz7ghhtuYNSoUWzevJm8vDzy8/PZvHkzV199NZdddhlff/01l1xyCe+9957V5YqISIS5+WYYMgSCwar2MLmep1jM0fRkIbtJ4QL+y6W8TgHJlT7jrLPg99/BrouaRaSBqlE7lxYtWrBkyRJmzJjBokWLCAaDjBw5kksuuYSYmJjarlFE6kC+NzQLPdlpw2aoH7pIdRmGQackJz/tLGN1vpfDkl1WlyQiDdzDDz/MbbfdxsSJEytsb968OY899hixsbGcdtppNGvWjEmTJllUpYiIRKKbboLJk6t+vDlbeJkrGMAnAMzlNC7nFbbQssrnjBkDjz9ey4WKiESYGoXoADExMVxxxRVcccUVtVmPiFgkz6N+6CI11SnZxU87y/i90EvANLHrgygRCaPFixfz/PPPV/n48OHDeeCBB5g3bx6tW7euw8pERCSSzZy5/wD9fGbzHFeTym5KieYWHuZprsfcTxODG25QgC4ijUONQvRp06bt9/FLL720RsWIiDX8QZMi394QXa1cRA5Wy7goYqMM3H6TnCIfbROdVpckIg1YMBjE4XBU+bjD4SAmJkYBuoiIlNvfDPRECniSG7iMUNaziKMZxnSWc/h+x+zVC554orYrFRGJTDUK0UePHl3hvs/nw+1243Q6iY2NVYguUs/ke0MBeozdINquEF3kYNkMg45JTn7e5WFVgVchuoiE1RFHHME777zD2LFjK3387bff5ogjjqjjqkREJBIVF0P37rB2beWP9+ErpnEpbdhAABsPcSvjGY+P/R/Pjh0Ljz0WhoJFRCJUjdKyvLy8Crfi4mJWrlzJiSeeyIwZM2q7RhEJs3zPnn7omoUuUmOdkkK90FcXeDFN0+JqRKQhu+6667jzzjuZOnUqfr+/fLvf7+fpp5/mrrvu4rrrrrOwQhERsVJxcWihT8OAhITKA3QnHh7kVr6kL23YwFracjLzuJMH9hugX3IJeDwK0EWk8alxT/S/6tixIw8++CDDhg1jxYoVtTWsiISZaZrk7+mHnqJ+6CI1lpXgwGkzKPYF2er20yKu6lYLIiKH4rLLLmPp0qWMGjWK22+/nfbt2wOwZs0aiouLueGGGxgxYoS1RYqIiCV69IBFi/a/zxH8ynSGcRQ/A/ASVzCWxykiscrndOgAK1aAXaeMItJI1VqIDmC329myZUttDikiYVYaMPEETQwg0amZ6CI1FWUzaJfoYEW+l1X5XoXoIhJWjz76KIMHD2bGjBmsXr0agD59+nDRRRdx3HHHWVydiIhYIS4O3O6qHzcIMponmMTtRONhJ2lcxfO8zXmV7h8dDaecElqQND4+TEWLiNQTNQrR33333Qr3TdNk69atPPXUU5xwwgm1UpiI1I29s9CTnDbshmFxNSL1W6dkVyhEL/DSt2Wc1eWISAN33HHHKTAXERFKS0MB+v46CrZiI68yglP4HIAPOIORvMR2mlXYz2aD99+H/v0161xE5M9qFKKfe+65Fe4bhkHTpk35+9//zuSqlnsWkYiUp37oIrWmfaIDuwG7PQFyy/ykRdfqBV8iIiIiIhWcfXYo9N6fC5nBVK4jhXxKiOVGJvMcVwMVJ1GlpkJubvhqFRGpz2p0dh8MBmu7DhGxQMA0KfSGvp+TnZpmIHKoXHYbWQkO1hb6WJXvJa2ZQnQRERERqX2BAKSlQX5+1fskk8dUruMiZgLwA39jOK+zmk777BsfrwBdRGR/NPVUpBEr9AYJAk4bxEaplYtIbeiU5AJgVYHX4kpEREREpCHKzoaoqP0H6H/nM5bSlYuYiR879zCeE/m60gA9NRWKisJXr4hIQ1CjKXLjxo2r9r6PPfZYTV5CROrA3n7oyS47hvqhi9SKjklOPt4I29x+Cr0BEnWVh4iIiIjUkuxsOP/8qh+PppQHuIOxTAFgFR0Zzuv8yLGV7q8WLiIi1VOjEH3x4sUsWrQIv99P586dAVi1ahV2u51jjjmmfD+FciKRLd8b6oee4tRFKSK1Jc5ho1VcFJtK/Kwu8NKjaYzVJYlIA+b3+/nyyy9Zs2YNF198MQkJCWzZsoXExETi4+OtLk9ERGqR17v/AL07S3iDSziC3wB4hmu4iUdxU/mC9z16wIIF4ahURKThqVFydvbZZ3PyySezadMmFi1axKJFi9i4cSP9+vXjrLPO4osvvuCLL77g888/r+16RaSWeAJB3P7Q8u1JLs2UFalNHZOcAKzKV0sXEQmfDRs20LVrVwYOHMj111/Pzp07AXj44Ye56aabwv76U6dOpW3btkRHR9OjRw/mz58f9tcUEWmssrPB5ar8MRsBbuEhfuRvHMFvbCODM3mf63hmnwDdMODMM0PtWxSgi4hUX41C9MmTJzNp0iRSUlLKt6WkpDBx4kQmT55ca8WJSPjsbeWS4DBw2HTViEht6pQcOsPJKfZR6tdi3CISHqNHj6Znz57k5eURE/PHVS/nnXcen332WVhf+7///S9jxozhzjvvZPHixfTp04fTTz+dnJycsL6uiEhjNGNG1TPQs1jPF/TjIW7DiY+3OJeuLOVDzqyw3+mnh4LzYBDefz+0kKiIiFRfjUL0wsJCtm/fvs/2HTt2UKTVKETqhTzvnn7o6tcsUutSXHaaRtsxgd+1wKiIhMnXX3/NXXfdhdPprLA9KyuLzZs3h/W1H3vsMUaOHMmVV15Jly5dmDJlCpmZmTzzzDNhfV0RkcakuBgyMuDiiyt71OQyXuUXunES8ykinst5mUFkk0vTCnvOmQMffqjgXETkUNQoRD/vvPO4/PLLmT17Nps2bWLTpk3Mnj2bkSNHMmjQoNquUURqmWmaFHhC/dCTXeqHLhIOnZL3tHRRiC4iYRIMBgkEAvts37RpEwkJCWF7Xa/Xy8KFC+nfv3+F7f379+fbb78N2+uKiDQWxcWQnAwJCbBjx76Pp5LLbAbzKpeTSBFfcwLd+ZlXuRyoeJXxnDmgmEZE5NDVKD179tlnOfPMMxk2bBhZWVlkZWVxySWXcPrppzN16tTarlFEalmRL4jfhCgDEhwK0UXCoVNSqKXLukIvvqBpcTUi0hCddtppTJkypfy+YRgUFxdzzz33cMYZZ4TtdXNzcwkEAmRkZFTYnpGRwbZt2yp9jsfjobCwsMJNRET21aNHKDwvKKj88X/wMUvpyvlk4yOKO7ifk5nHOtpV2O+888DvV4AuIlJbomrypNjYWKZOncojjzzCmjVrME2TDh06EBdX+YrPIhJZ9vZDT3LZMQz1QxcJh/QYO4lOG4XeIGsLvXROrmIlKBGRGnr88cfp168fhx9+OGVlZVx88cWsXr2atLQ0ZsyYEfbX/+sxhGmaVR5XTJo0iQkTJoS9JhGR+qq0NBSeV3KBEQAxuHmEm7me0MTF3+jCMKazmGP22XfmTBg6NJzViog0Poc0BXXr1q1s3bqVTp06ERcXh2lqpp1IfZDvDR2ZpTg1C10kXAzDoFNSqKXLarV0EZEwaNGiBUuWLOGmm27i6quv5uijj+bBBx9k8eLFpKenh+1109LSsNvt+8w637Fjxz6z0/e6/fbbKSgoKL9t3LgxbPWJiNQ3554LsbFVB+g9+YnFHF0eoD/Jv+jBQgXoIiJ1qEYz0Xft2sUFF1zAF198gWEYrF69mnbt2nHllVeSnJzM5MmTa7tOEaklQcNOkS/0gVeyS4uKioRTp2QXC3aW8XuBl4BpYteVHyJSy2JiYrjiiiu44oor6uw1nU4nPXr04NNPP+W8884r3/7pp58ycODASp/jcrlwuXRFjojIX511FnzwQeWP2fFzO5O4m3tx4GczLbicV/iU/pXuf/PNCtBFRMKlRiH62LFjcTgc5OTk0KVLl/LtQ4cOZezYsQrRRSKY1xkLQGyUgcuuQE8knFrFRRETZVDqN9lY7KNNgtPqkkSknnv33Xerve8555wTtjrGjRvH8OHD6dmzJ7179+b5558nJyeHa665JmyvKSLS0Bx9NCxZUvlj7fmd1xlOb74HYBZDuIZnyaNJpfvPmgVDhoSpUBERqVmIPnfuXD755BNatWpVYXvHjh3ZsGFDrRQmIuHhc8UDkKJZ6CJhZzMMOiY6+WW3h1X5XoXoInLIzj333GrtZxgGgar6AtSCoUOHsmvXLu699162bt3KkUceyYcffkhWVlbYXlNEpCFJSoLK11g2uZIXeZyxxFNCAYlcz9O8wSXAvpOgoqOhuBjsOr0TEQmrGjVELikpITY2dp/tubm5ukxTJIIZNlv5TPQUl/qhi9SFTnsWFF1d4NXaISJyyILBYLVu4QzQ97ruuutYv349Ho+HhQsXctJJJ4X9NUVE6rNAAN5/Hwyj8gA9ne28w0Be4CriKeEL+tKVpbzBMCoL0Nu0CS1IqgBdRCT8apSinXTSSUybNq38vmEYBINBHnnkEfr161drxYlI7Wp1+FGYtijsBiQ4FKKL1IU2CQ4cNijyBdnm9ltdjoiIiIjUsUAA7rgDoqLg7LMr3+ds3mUpXTmH9/Dg5CYe4RQ+YyOtK91/+nRYty6MRYuISAU1aufyyCOP0LdvXxYsWIDX6+WWW25h2bJl7N69m2+++aa2axSRWtL5xFOB0IKiNi1wKFInomwG7RKdrMz3sqrAS/M4h9UliUgD8tlnn/H444+zfPlyDMPgsMMOY8yYMZx66qlWlyYiIkB2NlxwQShIr0wcxTzOWP7JiwD8QleGMZ2ldKt0/zvugHvv1exzEZG6VqOpqIcffji//PILf/vb3zjttNMoKSlh0KBBLF68mPbt29d2jSJSSzodfwoAKU7NQhepS52SQr3QV+V7La5ERBqSp556igEDBpCQkMDo0aO54YYbSExM5IwzzuCpp56yujwRkUYvOxvOP7/qAP04vuNnuvNPXiSIwSPcxN/4sdIA/cMPwe+H++9XgC4iYoWDnonu8/no378/zz33HBMmTAhHTSISBh5sZB55DKBFRUXqWvskJzYDdnkC7CrzkxpdowvBREQqmDRpEo8//jijRo0q33bDDTdwwgkncP/991fYLiIidSsQgEsuqfyxKHzczb3cwQPYCZJDJpcyjXn03WffzEzIyQlvrSIicmAHPR3V4XDw66+/YqgVhEi9sosYAOy+Mpx2ff+K1KVou42s+FAbF81GF5HaUlhYyIABA/bZ3r9/fworW7FORETqzNChUFa27/bOrOA7evNvJmInyHQuoRu/VBqgZ2UpQBcRiRQ16ulw6aWX8tJLL9V2LSISRrlEA+D0llhciUjj1Cl5T0uXAoXoIlI7zjnnHN566619tr/zzjucXdXKdSIiElZeL3TpAnPm/PURk+t4mkUcQ08WspsUhjKT4UyngOR9xunRA9avr4OCRUSkWmp0PbnX6+XFF1/k008/pWfPnsTFxVV4/LHHHquV4kSkdgRN848Q3VNscTUijVPHJBefbCxhq9tPoTdAolNtlUTk0HTp0oX777+fL7/8kt69ewPw/fff880333DjjTfy5JNPlu97ww03WFWmiEijceONUFkc0pwtvMwVDOATAD7lVEbwKltoWek406bB8OHhrFRERA7WQYXoa9eupU2bNvz6668cc0yot/KqVasq7KM2LyKRZ0uJH79hx52/m1R/JdcUish+LV++vFbGSSaDfMPFqgIvPZvG1MqYItJ4vfTSS6SkpPDbb7/x22+/lW9PTk6ucNWoYRgK0UVEwigQCM0+X71638cGMYfnuYpUdlNKNLfyEE8xCrOKxgA336wAXUQkEh1UiN6xY0e2bt3KF198AcDQoUN58sknycjICEtxIlI71hSG2kes/v5LWh9zhMXViNQfu3ZsA8Ng2LBhtTLeCZdczVk3TuTnbYUK0UXkkK1bt87qEkREGr1Zs0L9z/8qkQKe5AYuYxoAiziaYUxnOYdXOo5hwH//C0OGhLNaERGpqYMK0U3TrHD/o48+oqRE/ZVFIt3aPSH6ym/+j1MUootUW3FBAZgmo+6bTPdexx7yeDk5GwDY6bNR5AuQ4FBLFxEREZH66txz4Z139t3eh6+YxqW0YQMBbDzErYxnPD6c++ybkBAKz/v3B7sODUVEIlaNeqLv9ddQXUQiT5EvwPbSAJgmq779Av412uqSROqdlm3b07nbUbUy1sKffySr+99Yma+WLiJyaEzTZPbs2XzxxRfs2LGDYDBY4fHs7GyLKhMRafhuumnfAN2Jh3u5m5t5BBsma2nLpUzjG06sdIzrroOnn66DYkVE5JBV3oSrCoZh7NPzXD3QRSLb2kIfAIl4KcnLtbgaEVn6f+8CsCLPY3ElIlLfjR49muHDh7Nu3Tri4+NJSkqqcBMRkfDwemHy5IrbjuBXfuBYbuVhbJi8xBUcxZIqA/R27RSgi4jUJwfdzmXEiBG4XC4AysrKuOaaa4iLi6uwn2a9iESOva1c0tCCoiKR4Nf/e4+zbpzIphI/xb4g8Y6D+jxbRKTc9OnTyc7O5owzzrC6FBGRRiEQgLlz4c8/dg2CjOYJJnE70XjYSRpX8Txvc16V4zRtCmvW1EHBIiJSaw4qRL/ssssq3K+thdZEJDwCpsn6PTPRm1JqcTUiAlCwfQtJpocCw8XKfA891NJFRGooKSmJdu3aWV2GiEijkJ0Nl1wCZX+am9SKjbzKCE7hcwA+4AxG8hLbaVblOG3agNaFFhGpfw4qRH/llVfCVYeIhMHmYj+eoElslEGiz2t1OSKyRzPcFOBihUJ0ETkE48ePZ8KECbz88svExOhniYhIuGRnw/nnV9x2ITOYynWkkE8JsdzIZJ7jaqDqlrejR8OUKWEtVUREwuSQFhYVkci2t5VL2wQnxm6LixGRchm4WUkKG4vV0kVEam7IkCHMmDGD9PR02rRpg8PhqPD4okWLLKpMRKThCARgyJA/7ieTx1Su4yJmAvADf2M4r7OaTlWO0aJFaPa50xnuakVEJFwUoos0YGv2hOjtE52UKUQXiRjRBGgRG8UWt58V+R56aja6iNTAiBEjWLhwIcOGDSMjIwPDqHr2o4iIHLzSUkhMhGAwdP/vfMZrXEYrNuPHzn38mwe4Az+OKscYOxYee6yOChYRkbBRiC7SQBV6A+wsC2AAbRMdLLe6IBGpoEuKiy1uP8vzFKKLSM188MEHfPLJJ5x44olWlyIi0qCUlkKXLrBhQ+h+NKU8wB2MZQoAq+nAMKbzI8dWOUZSEuzYodnnIiINha4fF2mgfi8IzUJvGRdFTJS+1UUizWEpoTOqzSV+CrwBi6sRkfooMzOTxMREq8sQEWlQzj4bYmP/CNC7s4QF9CwP0J/lao5iyX4D9IQEyM9XgC4i0pBETLI2adIkDMNgzJgx5dtM02T8+PG0aNGCmJgY+vbty7Jly6wrUqQeWb0nRO+QpCM3kUiU4LDTOj506e/yPI/F1YhIfTR58mRuueUW1q9fb3UpIiINQrNm8P77oa9tBLiFh/iRv3EEv7GddM7kfa7lWdzE7XecvLw6KFZEROpURIToP/30E88//zzdunWrsP3hhx/mscce46mnnuKnn36iWbNmnHbaaRQVFVlUqUj94AkEySn2AdBRIbpIxDo8xQXAbwrRRaQGhg0bxhdffEH79u1JSEigSZMmFW4iIlJ9bdvC9u2hr7NYzxf04yFuw4mPtxnIkfzKh5x5wHHmzAG7PczFiohInbO8J3pxcTGXXHIJL7zwAhMnTizfbpomU6ZM4c4772TQoEEAvPbaa2RkZPDmm29y9dVXW1WySMRbV+QjYEKKy0YTl47gRCJV52QnczfCjtIAu8r8pEZb/mtZROqRKVOmWF2CiEiDcPTRELqox+RSpvEf/kUiRRQRz2ie4BUuB/a/eLPNBv/7H+yJL0REpIGx/Gz9+uuv58wzz+TUU0+tEKKvW7eObdu20b9///JtLpeLk08+mW+//bbKEN3j8eDx/DGjr7CwMHzFi0Sovf3QOyQ6MYz9H+yJiHViomy0TXSwptDHb3ke+jS3/NeyiNQjl112mdUliIjUe+3awbp1kEouz3INg5kDwDccz3BeZx3tDjjGbbfBxImagS4i0pBZ2s5l5syZLFq0iEmTJu3z2LZt2wDIyMiosD0jI6P8scpMmjSJpKSk8ltmZmbtFi0S4YKmyZo9IXrHJJfF1YjIgXTZ09JleZ4X0zQtrkZE6qvS0lIKCwsr3EREZP/atAkF6P/gY5bSlcHMwUcUd3A/J/FVtQL0gQNh0iQF6CIiDZ1lIfrGjRsZPXo006dPJzo6usr9/jqL1jTN/c6svf322ykoKCi/bdy4sdZqFqkPNpf4KQ2YRNsNWsVrVqtIpOuY5CTKgN2eANtLA1aXIyL1SElJCaNGjSI9PZ34+HhSUlIq3EREpHKBACQmwo4Nbp7iej7mdJqzjd/owrH8wCTuIMiBU/Ebb4S33w5/vSIiYj3LQvSFCxeyY8cOevToQVRUFFFRUcybN48nn3ySqKio8hnof511vmPHjn1mp/+Zy+UiMTGxwk2kMdnbyqV9ohObWrmIRDyX3Ub7PQsAa4FRETkYt9xyC59//jlTp07F5XLx4osvMmHCBFq0aMG0adOsLk9EJCLNmAFRUdC56CcWczTXMxWAJ/kXPVjIYo454BgpKeDxwKOPhrtaERGJFJaF6KeccgpLly5lyZIl5beePXtyySWXsGTJEtq1a0ezZs349NNPy5/j9XqZN28exx9/vFVli0S81Xv7oe8J5UQk8h2xp6XLb7s9BNXSRUSq6b333mPq1KkMHjyYqKgo+vTpw1133cUDDzzAG2+8YXV5IiIRp2dPGH6xn7u4j285ns6sYjMt6M8njOZJyog54BjTp8Pu3eDU6ZaISKNiWa+HhIQEjjzyyArb4uLiSE1NLd8+ZswYHnjgATp27EjHjh154IEHiI2N5eKLL7aiZJGIt7sswG5PABvQNtFhdTkiUk3tE51E2w2K/UE2FPlom6izMhE5sN27d9O2bVsAEhMT2b17NwAnnngi1157rZWliYhElNLS0OzxVp7fmc9wevM9ALMYwjU8Sx5NDjjGuefC7NnqfS4i0lhZurDogdxyyy2MGTOG6667jp49e7J582bmzp1LQkKC1aWJRKRVBaFWEK0THETbI/rbW0T+xG4zyhcY/XW3WrqISPW0a9eO9evXA3D44Ycza9YsIDRDPTk52brCREQiQCAAH30EaWkQG2sy3PMCSziK3nxPAYkM43WG8t9qBehnnQVvvaUAXUSkMYuoVQe//PLLCvcNw2D8+PGMHz/eknpE6ptV+aFWLp3UykWk3jmyiYvFuWWsKvDgDcTjtGtNAxHZv8svv5yff/6Zk08+mdtvv50zzzyT//znP/j9fh577DGryxMRscysWXDJJeD3QzrbeYd/cg7vAfAlJ3MZr5FDVrXG6tkT3nsvnNWKiEh9EFEhuojUXJE3wBa3H4COyQrRReqbFrFRJDtt5HuDrC7wcESTaKtLEpEIN3bs2PKv+/Xrx/Lly1m4cCHt27ene/fuFlYmImKds8+G99/f8zXv8iJXks5OPDi5k/t5nLEEqd6U8htugCeeCGOxIiJSbyhEF2kg9i4o2iI2igSHrjMUqW8Mw+CIJi6+2VbKr7sVoovIwcvKyiIrq3ozK0VEGprSUsjIgKIiiKOYxxnLP3kRgKUcySW8wVK6VXu8sWNBF/WIiMheapos0kCs2hOid9IsdJF668g9wfn6Ih/FvqDF1YhIpPrhhx/46KOPKmybNm0abdu2JT09nauuugqPR+sriEjj4PXCEUdAbGwoQD+O71jCUfyTFwli8Cg30oufDipAv/lmBegiIlKRQnSRBqDUHySnyAdApySXxdWISE2luOy0iI3CBH7LUwAmIpUbP348v/zyS/n9pUuXMnLkSE499VRuu+023nvvPSZNmmRhhSIi4ef1wkkngcsFv/0GUfi4l3/zNSfSgTXkkMkpfMbNPIqH6l3hFxsLHg88/HCYixcRkXpHIbpIA/B7gZcgkBZtp0m0WrmI1GdHNgl9ELZ0VxmmaVpcjYhEoiVLlnDKKaeU3585cybHHnssL7zwAuPGjePJJ59k1qxZFlYoIhJeY8eGwvP580P3O7GSbzmefzMRO0Gmcwnd+IUv6VftMY85BkpKwKkLe0VEpBIK0UUagPJWLkk64hOp7w5PcRFlwM6yANtK/VaXIyIRKC8vj4yMjPL78+bNY8CAAeX3e/XqxcaNG60oTUQkrLxeSE2FKVP2bjG5jqdZzNH0YgG7SWEoMxnOdApIrva4b74JCxeGoWAREWkwFKKL1HO+oMm6wr390NXKRaS+i46ylX8v/7JLLV1EZF8ZGRmsW7cOAK/Xy6JFi+jdu3f540VFRTgcDqvKExGpdYEADB4cmn2+e3doW3O28BGn8zSjiKWUTzmVrixlFkOrPW7HjuD3w0UXhalwERFpMBSii9Rzawu9+E1IdNrIiFErF5GGoNueli6/5XnwBdXSRUQqGjBgALfddhvz58/n9ttvJzY2lj59+pQ//ssvv9C+fXsLKxQRqT2zZ4darMyZ88e2QcxhKV0ZwCeUEs0NPME/+IQttKzWmImJoUVIV60Cu06hRESkGhSii9RzK/YsPtg5yYlhGBZXIyK1ISvBQaLDhidgsjrfa3U5IhJhJk6ciN1u5+STT+aFF17ghRdewPmnJr4vv/wy/fv3t7BCEZHaMXYsDBkCwWDofiIFvMplzGEwqexmEUfTg4X8hxswqxFv7A3PCwogPj7MxYuISIMSZXUBIlJzvqDJ73tauXRJUSsXkYbCMAy6prr4Zlspv+wu4/Am+v4WkT80bdqU+fPnU1BQQHx8PPa/TKP83//+R7zSIRGp53r2rNinvA9fMY1LacMGAth4iFsZz3h8VG9dqNGj/9xLXURE5OBoJrpIPba20IsvCIkOG81j9ZmYSEPStUk0AOuLfOR7AhZXIyKRKCkpaZ8AHaBJkyYVZqaLiNQ3vXr9EaA78fAgt/IlfWnDBtbSlpOZx508UK0A3WaDWbMUoIuIyKFRiC5Sj5W3cklWKxeRhibZZScrPrQw4NLdZRZXIyIiIlI3pk+HBQtCXx/Br/zAsdzKw9gweYkrOIolfMOJ1RrrrrvA6w21hBERETkUCtFF6im1chFp+Lqlhr63l+7yEDS1wKiIiIg0XF4vnHwyDB8OBkHG8DgL6MlR/EwuqZxHNlfyEkUkHnCsu+4Cvx/uu08Lh4qISO1Q/weRekqtXETqr+XLl1drvwDgoCWFPvh08XKaUvmM9LS0NFq3bl2LFYqIiIjUjdJSOO44+OWX0P1WbORVRnAKnwPwIadzBS+znWYHHOuOO+DeexWci4hI7VPyJlJPrcwPzUJXKxeR+mPXjm1gGAwbNqzazzlj7AT6DL+ON+cvZtqYyp8XGxvL8uXLFaSLiIhIvVFaCl26wIYNf2y7kBlM5TpSyMdNDON4jOe4Gtj/+U5GBmzerPBcRETCRyG6SD3kC5r8XqBWLiL1TXFBAZgmo+6bTPdex1brOX67g3ygS5/+PDv3e+xBf4XHN/y+komjRpKbm6sQXURERCJeIAAnngjff//HtmTymMp1XMRMAH6kF8OYzmo6HXC86dPhkkvCVa2IiEiIQnSRemhtoRdv0FQrF5F6qmXb9nTudlS19/91t4cCb5C4rM5kJTjCV5iIiIhIGM2aBUOHVtz2dz7jVUaQySb82JnIXdzPnfjZ/zFPhw6wYoVmn4uISN3QwqIi9dDyPA8Ah6W41MpFpBHIiAmdHe4o9WNqgVERERGpZ0pLoU2bigG6izImM47POJVMNrGaDpzAN0xg/AED9DPPhNWrFaCLiEjdUYguUs94AsHyVi6Hq5WLSKOQGm3HYQNvEHZ7glaXIyIiIlIte8Pz2NiKvc+7s4QF9GQcjwPwLFdzFEv4kQO3uzvjDHj//TAVLCIiUgWF6CL1zKp8L34zFKrtnZ0qIg2bzTBIjwm1btrm9h9gbxERERFrBQLQu/e+4bmNALfwED/yN45kGdtJ50ze51qexU3cAcdt1w4++CCMhYuIiFRBIbpIPfPbnlYuh6uVi0ij0mzPh2b53iBuv2aji4iISOTxeuHSSyEqquLCoQBZrOcL+vEQt+HEx9sM5Eh+5UPOrNbYPXrAmjVhKFpERKQaFKKL1CMlviDri3yAWrmINDbRUTZSXKFf25qNLiIiIpHmllvA5YLXX//rIyaX8hq/0I2TmE8R8VzBS5zHW+TStFpjv/kmLFhQ6yWLiIhUm0J0kXpkeZ4HE2gRG0WKS61cRBqbFrGhli7bSwP4g1pgVERERCLDzTfDI4/suz2VXP7HEF5jBIkU8Q3H052feYUrgP1fVWsYcNdd4PfDRReFp24REZHqirK6ABGpWk5ODrm5ueX3fyIDDBeJJTtYtGjtQY21fPny2i5PROpYktNGjN2gNGCyozRAizj9GhcRERHrBALw73/Do4/u+9g/+JhXuJzmbMNHFPcwgYe4lSD7nwyUmgpvvAGnngp2zRsSEZEIobNvkQiVk5NDly5dcLvdADRp1Yab3/2JYCDA8H+cSPHunTUat7i4uDbLFJE6ZBgGzeOiWFvoY6vbT/NYnVmKiIiINWbPhosvBp+v4vYY3DzCzVzPVACWcxjDmM4ieux3vPh42LEDYmLCVbGIiEjNKUQXiVC5ubm43W7ueuolsjp0xh2bihtw+ct4/M23Dnq877+Yy0sP3UtZWVntFysidSY92s6GIh9lAZN8rxYYFRERkboVCMDQoTBnzr6P9eQnpjOMzqwC4En+xW08SCmx+x3zrLPgvffCUa2IiEjtUIguEuGyOnSmU9fuLMr1QMCkTXoy6VlpBz3OhtUrw1CdiNQ1u80gPcbOVneALSV+/SIXkTp3//3388EHH7BkyRKcTif5+flWlyQidWTWLLjwQjD/sjSLHT+3M4m7uRcHfrbQnMt5hbn8Y7/jORyhhUiHDg1j0SIiIrVAC4uK1AOFviBlARObAalaUFSk0Wu+Z4HRfG8Qv91pcTUi0th4vV6GDBnCtddea3UpIhJmgQDMnRsKuWNiQn/+NUBvz+/Mpw/3cTcO/MxiCF1Zut8AvUWL0LilpQrQRUSkftAENpF6YEdpAIC0aDt22/5XsReRhi8mykYTl43dniClsSlWlyMijcyECRMAePXVV60tRETCatYsGD4cvN6q9jC5khd5nLHEU0IBiYziKaYzDKj8nCUtDXJy1PdcRETqH4XoIhHOxGBXWShET4/RLHQRCWkZF8VujxdPdCLxqelWlyMisl8ejwePx1N+v7Cw0MJqRORABg6Ed9+t+vGm7OAF/slAQjt9yclcxmvkkFXlc958Ey66qLYrFRERqRtq5yIS4TyuBAImRNsNEh36lhWRkESnnQSHDQwbvYeOtLocEZH9mjRpEklJSeW3zMxMq0sSkb/Y27qlZcv9B+hn8R6/ciQDeRcPTm7iEU7hsyoD9GOPBb9fAbqIiNRvSuREIpwnJhGApjF2DEOtXETkDy3jQheUHTd4BP4qLpsWEamO8ePHYxjGfm8LFiyo8fi33347BQUF5beNGzfWYvUicqiysyE5Gf7xD9iypfJ94ijmOa7iPc4hnZ0s5Uh68ROTuYkglV8x27MnfP892HVBrYiI1HNq5yISwZKatcTniAUgPVpHniJSUROXDZvfS2xyE7aYB95fRKQqo0aN4sILL9zvPm3atKnx+C6XC5fLVePni0j4zJp14MU9j+M7Xmc4HVhDEIPHGMddTMRDdJXPGTsWHnuslosVERGxiEJ0kQh29JkXgGGQ5LQRHaULR0SkIsMwiCnNoyQhgw0kEDRNbLpiRURqIC0tjbS0NKvLEJE6EgjAZ5/BDTfAypVV7xeFj7u5lzt4ADtBcsjkMl7jS/pV+ZzDD4fFi8HpDEPhIiIiFlGILhKhTKDXuZcAWlBURKoWXVrADn8UpKSyIs/L4U0001NEwisnJ4fdu3eTk5NDIBBgyZIlAHTo0IH4+HhrixORA8rOhssug+Li/e/XiZVMZxi9CLVyms4ljOIpCkiudH/DgBkzDjyrXUREpD7S1FaRCLWLaJq0zMIIBkhVKxcRqYKByTdvPg/Ad9vdmKb6uohIeN19990cffTR3HPPPRQXF3P00Udz9NFHH1LPdBGpG9nZcP75BwrQTa7jaRZzNL1YwG5SGMpMhjO9ygD9/PPB51OALiIiDZdCdJEItYnQTC5XWSF2tWcQkf34btZL2M0gO8sC/F7otbocEWngXn31VUzT3OfWt29fq0sTkSoEAvDRRzBkyP73a84WPuJ0nmYUsZTyKafSlaXMovJ0PDo61FN99mwtHioiIg2bQnSRCFTsC7KTGACiS/OtLUZEIl5ZUQGZFAHw3bZSzUYXERGRctnZkJwMZ5wBwWDV+w1iDkvpygA+oQwXN/AE/+ATttCywn4JCXDRRTB3bmhG+4GCeRERkYZAPdFFItDSXWWYhsGGn38krXmS1eWISD2QRRGbjCS2uP1sKPbRJkGreYmIiDR2e9u37E8iBTzJDVzGNAAWcxSX8AbLOXyffW+8ER59NByVioiIRDbNRBeJMKZp8vOuMgB+zH7d4mpEpL5wEaRbajQQmo0uIiIijVsgAMOH73+fPnzFz3TnMqYRxOABbudYftgnQN/btkUBuoiINFYK0UUizIYiH/neIFFmkKWfvmN1OSJSjxybEYMN2FDsY1Oxz+pyRERExEL33Qdud+WPOfHwILfyJX1pwwbW0YaT+Io7eQAff1zN1qSJ2raIiIiAQnSRiLN4zyz05pTgK9NsUhGpviSnna6pLgC+2VbFWbOIiIg0eF5vKESvzOEs4weO5VYexobJy1xOd37mG06ssN/YsbBrF5x2mhYNFRERUYguEkEKvQFW5XsBaEWxxdWISH3UOyMWG7CuSLPRRUREGptAAO6+G1yufRcRNQgymikspAdH8TO5pDKIOYzkZYpILN/vpJPA44HHHqvj4kVERCKYQnSRCLIktwwTaB3vIAGFXyJy8JJdf8xG/1qz0UVERBqN2bMhJqbyGegt2cRc+jOFsUTj4UNO50h+5S0GVdhv5kyYNw+cWp9cRESkAoXoIhHCHzRZsqeVyzFNoy2uRkTqs72z0ddrNrqIiEijcMstoZ7lvkp+7V/IDJbSlVP5DDcxXMMznMkHbKdZ+T5OJ8yZA0OH1mHRIiIi9YhCdJEIsTzPg9tvkuiw0SlJUz9EpOY0G11ERKRxCATgrrvgkUf2fSyZPN7gYmZwMSnk8yO9OIolPMc1gFG+3+DBoQVIBw3adwwREREJibK6ABEB0zRZmBuahX50WjQ2wzjAM0RE9q93RixLd3lYX+Qjp9hH63iH1SWJiIhILZo9G4YNC/Uv/6u/8xmvMoJMNuHHzkTu4n7uxM8fxwOGASUloRYwIiIisn+aiS4SAba4/Wxz+7Eb0D1VrVxE5NAlu+x0Twv9PJm3pQTTNC2uSERERGrLzTeH2rf8NUB3UcZkxvEZp5LJJlbTgRP4hgmMrxCgQ6j/uQJ0ERGR6lGILhIBFu4MzULvkuIi1qFvSxGpHcc3iyHKgM0lfn4v9FpdjoiIiNSCG2+ERx/dd3t3lrCAnozjcQCe5WqOYgk/cuw++559NlxwQbgrFRERaTiU1olYrNAbYEVeaApJz6aaCiIitSfBYadneujnyldb3AQ1G11ERKTeCgRC/csfe6zidhsBbuEhfuRvHMkytpPOWbzHtTyLm7h9xunRA959t46KFhERaSAUootYbMHOMoJA63gHzWK1TIGI1K7j0mNw2Q12lgX4La+SpqkiIiIS8WbNApcL5sypuD2L9XxBPx7iNpz4eIdz6MpSPuCsSsc5+2xYsKAOChYREWlgFKKLWKgsEGTJngVF/5auWegiUvuio2wct+fny/ytbgJBzUYXERGpT849F4YODc1E/4PJpbzGL3TjJOZTTBwjeZFzeZudpO8zht0e6oGuGegiIiI1oxBdxEI/55bhDZqkRttpn+g48BNERGqgZ3oM8VE2CrxBluwqs7ocERERqaYbb4R33qm4LZVc/scQXmMEiRTxDcfTnZ95mZGAsc8Y558fWoB06NC6qVlERKQhUoguYpGAabJg5x+z0A1j3wNeEZHa4LAZnNA8NBv9m21uvAHNRhcREYlkgQDccce+/c//wccspSuDmYOPKO5kIiczj7W0r3ScG2+E2bNDM9FFRESk5hSii1hkRZ6HIl+QuCiDI1JcVpcjIg1ct9Rokp023H6TBTtLrS5HREREqjBrFkRHw6RJf2yLwc1TXM/HnE5ztrGcwziO73mAOwmw77pKDkdonEcfrcPCRUREGjCtYihiAdM0+WFHKMTq0TSGKJtmoYvIoVm+fPkB98kklnwjjW+3FGPbsgonwUr3S0tLo3Xr1rVdooiIiBzAuefu276lBwuYzjAOYyUAT/IvbuNBSomtdIzBg0P9zzX7XEREpPYoRBexwJpCHztKAzhscHRatNXliEg9tmvHNjAMhg0bdsB9DcNg1Juf06Lzkdw77W0+mjKh0v1iY2NZvny5gnQREZE6dNNNFQN0O35u40HuYQIO/GyhOZfzCnP5R5VjzJyp3uciIiLhoBBdpI6Zpsm329wAHJMWQ0yUuiqJSM0VFxSAaTLqvsl073XsAff3OuMoBE4afh0Dzzgde9Bf4fENv69k4qiR5ObmKkQXERGpA4EAzJ0Lkyf/sa0da3id4RzPdwDMYgjX8gy7Sa1ynFmzYMiQcFcrIiLSOClEF6ljG4p9bHH7iTKgV3qM1eWISAPRsm17Onc76oD7mabJr7u9FPrAkdmJjknO8BcnIiIiFQQC8OWX8PTT8N574C//TNvkSl7kccYSTwkFJDKKp5jOMKDyFpDx8fDaazBoUB0VLyIi0ggpRBepY99uC/VC75YaTbxDs9BFpG4ZhkGbBAe/7PawozRAi9ggcfpZJCIiUmdmzYLLLwe3u+L2puzgBf7JQN4F4EtO5jJeI4esKsf68EPo31/9z0VERMJNZ80idWhTsY+cYh82A47N0Cx0EbFGgtNGanTobHt9kc/iakRERBqPgQNDPcv/GqCfxXv8ypEM5F08OLmJRziFz/YboN98M5x+ugJ0ERGRuqAQXaQOfbs9dLTctYmLJKeOdkXEOm3iozCAfG+QPE/A6nJEREQavIED4d13K26Lo5jnuIr3OId0drKUI+nFT0zmJoJUfb5w883w8MNhLlhERETKqZ2LSB3ZXOJjbaEPAzguI9bqckSkkYuOstEs1s5Wd4ANRT6SnTYMo/JeqyIiInJoZszYN0A/ju94neF0YA0AkxnHndyPh+gqx+nbFz75BJxa0kRERKROKUQXqSPzt4ZmoR/ZxEWKS7PQRcR6mfEOdpQGKPGb7CwLkB6jwwIREZHa9r//wcUX/3E/Ch93cy938AB2guSQyQhe5Qv+XuUYNhsUF0OMOkKKiIhYQu1cROpATpGP9UU+bMAJzTQLXUQig8Nm0CouFJxvKPITME2LKxIREWlYZs+GCy74434nVvItx/NvJmInyHQuoRu/7DdAh9BMdgXoIiIi1tGUM5FakpOTQ25u7j7bTeAn0sGIpoVZxNplOdUab/ny5bVcoYjIvlrERbHNHcATNNla4re6HBERkQYhEIAJE+C++/ZuMbmOqTzCzcRSSh7JXMOzzGLoAccaOLBiEC8iIiJ1TyG6SC3IycmhS5cuuN3ufR7rcOzJjHxmNj5PGdcPPIHCHVsPauzi4uLaKlNEZB82w6B1QhSrC3xsKvGTZKjdlIiIyKGYNQuGDwevN3S/OVt4mSsYwCcA/B+nMIJX2Uyr/Y5jGDBuHDz6aLgrFhERkQNRiC5SC3Jzc3G73dz11Etkdehcvt0EClJa4wcSAm4mT/tftcf8/ou5vPTQvZSVldV+wSIif9I02s6WEj8lfhN3XKrV5YiIiNRLgQCcdBJ8++0f2wYxh+e5ilR2U4aLW3mI//AvzP10Vu3QAa65Bv71Ly0gKiIiEikUoovUoqwOnenc7ajy+7vKAuzK92IDuma1wGlvWe2xNqxeWfsFiohUwjAM2iQ4WJbnpSwmmbTW7awuSUREpF6ZPTu0eKjPF7qfQCFPcgMjeA2AxRzFJbzBcg6v9PlNmsAddyg4FxERiVQK0UXCJGiarC8KHUW3iIvCaTcsrkhEpGrJLjspLht5niD/+Ne/rS5HRESk3rj55ootV05kPq8znDZsIIjBg9zGeMbjo/J0PD4eduwAuzqqiYiIRKyqryETkUOyvTRAWcAkyoCWcfq8SkQiX5t4B5gmR55yFnlVnOiLiIjIH2688Y8A3YmHSdzGPE6mDRtYRxtO4ivu5IEqA3SAV15RgC4iIhLpFKKLhIE/aLKxODQLvXW8gyibZqGLSOSLddhwlRUAsIoUTNO0uCIREZHIddNN8Nhjoa8PZxk/cCy38RA2TF7mcrrzM99w4gHHGDy4DooVERGRQ6IQXSQMtpT48QUh2m6QEatpJSJSf8SV5OItLaHAcLEy32t1OSIiIhHpf/+DyZPBIMhoprCQHhzFz+SSyiDmMJKXKSJxv2PceCM88kgdFSwiIiKHRCG6SC3zBkw2u/0AZCU4sBmahS4i9YctGGD+61MBmLe1hEBQs9FFRET+zOuFESOgJZuYS3+mMJZoPHzI6RzJr7zFoP0+PyYGZs2q2EddREREIptCdJFatqHYR9CEeIdBqkvfYiJS/3z12tM4zQB5niCLd5VZXY6IiEjEyM6GpCQ4xz2DpXTlVD7DTQzXMpUz+YDtNKvyuXY73HMPFBXBkCF1WLSIiIgcMq12KFKLfFEuCkoDALRLcGJoFrqI1EPe0hLaU8BymvDNVjdHNnERbdeHgiIi0ngFAnDfffDEhDxe4nouZgYAP9KL4bzOKjrv9/nHHw9ffaUFREVEROornRGL1KKS+HQAmkbbSXDq20tE6q+WFJPqslMaMPl+e6nV5YiIiFgmOxvS02H+hM/4hW5czAz82JnA3ZzAN/sN0J1OmDkTvvlGAbqIiEh9ppRPpJZ0638ufmcsNiPUC11EpD6zAX1bxgKwYEcphd6AtQWJiIhYIDsbLj6/jDt3j+MzTiWTTaymAyfyNeOZgJ+qj/uHDAG3G4YOrcOCRUREJCwUoovUggAGp4++B4BWcVG47GrjIiL1X4dEJ5nxUfhN+Gqr2+pyRERE6lQgAM9es4QF9GQcjwPwHFdxNIv5geP2+9whQ0KLh2r2uYiISMOgEF2kFqwlkeTmrbAFfLSI01IDItIwGIbB31vEAfDrbg/b3X6LKxIREQm/QAA+mxvghQ4P8f7Ov3Eky9hOOmfxHtfwHCXE7/f5CQkwY0YdFSsiIiJ1QmmfyCHaXRZgPYkAxBXtwG4kWlyRiMihW758efnXzUhlmxHHOyu20oOd1ORam7S0NFq3bl17BYqIiIRBdjbcN3I9T+RfyjXMB+AdzuGfvMBO0qs1xssvawa6iIhIQ6MQXeQQmKbJp5uKMQ2DlV//H8d3yrS6JBGRQ7JrxzYwDIYNG1a+LaVFa8Zlf8tuZwwXj7qZVd9+ftDjxsbGsnz5cgXpIiISsWb/z+TdC15nHqNIpIhi4hjNE7zMFVDNj5BvvhkGDw5vnSIiIlL3FKKLHIKV+V7WFfmwmSbvPXIHJ7zwutUliYgckuKCAjBNRt03me69jv1ju7+EMqeLK6dMI3n3+oOajb7h95VMHDWS3NxchegiIhKR3npxF/zzaqYxB4BvOJ5LmcZa2lfr+YYRauGiRURFREQaJoXoIjXkDZh8trkEgDYUsmvjOosrEhGpPS3btqdzt6PK7/uCJgt3lhGIcpHS4UgyYnUIISIi9VMgAPPnw+bNsH07bHjuY25ddQUt2IqPKMYznoe4lcBBnC7/97+hxURFRESkYdIZsEgNzd9aQpEvSJLTRltPodXliIiElcNmkBkfxfoiPznFPtKi7dhtNemOLiIiUncCAfjyy9AtGISNG+Htt6GoCGJw8zC38ARPA7CcwxjGdBbRo9rjJybCK6/AoEFhKV9EREQihEJ0kRrYUuJjwc4yAPq3iqdgjWlxRSIi4dc8Noqt7gCegMkWt5/MeIfVJYmIiFQqEID774dHHoHi4n0f78ECpjOMw1gJwJP8i9t4kFJiq/0aaWmh2exOZ21VLSIiIpHKZnUBIvVNwDT5KKcYEzgixUX7JB01i0jjYDMMsuJDn79vLvHjDegDRBERiTyzZ0OTJnDPPfsG6Hb83MlEvqM3h7GSLTTnH3zMaJ48qAAd4LnnFKCLiIg0FgrRRQ7SD9tL2VkWIMZucErLOKvLERGpU2nRduKjDAImbCzxWV2OiIhIBbfcEupNXlhJt8V2rOErTmIi/8aBn/8xmK4sZS7/OKjXSEiAOXPUwkVERKQxUYguchB2lfn5ZpsbgFNaxRHr0LeQiDQuhmHQJiHUxmWbO4DbH7S4IhERkZD//jfUvmVfJlfyAj/TneP5jgISGc40LmAWu0mt9vgxMaHZ7Xl5CtBFREQaG/VEF6km0zT5eGMxARPaJjg4IsVldUkiIpZIctlJcdnI8wTZUOSji34eiohIHQsEYP78UE/y7dvh66/hrbf23a8pO3iBfzKQdwGYx0lcyjRyyKr2a513Hlx/PfTtC3Z7Lf0FREREpF5RiC5STT/v8rCx2I/DBv/IjMcwDKtLEhGxTJsEB3keD7s9QQq8AZKcShVERKRuZGfD6NGwadP+9zuL93iJkaSzEy8O7uR+HmMcQar/O+umm6qa3S4iIiKNiXpRiFRDkS/AF5tLADipeRzJLoVFItK4xUbZyIgJ/SxcX+TDNLXIqIiIhF92NgwevP8APY5inuMq3uMc0tnJUo6kFz/xKDcfVIB+440K0EVERCREIbpINXy6sQRP0KR5bBQ9mkZbXY6ISERoHe/AZkCxz2RXWcDqckSkDqxfv56RI0fStm1bYmJiaN++Pffccw9er9fq0qQRCARCM9D397ntcXzHEo7iKl4AYDLj6MVP/EL3ar9OYiLMmgWPPnqoFYuIiEhDYWmIPmnSJHr16kVCQgLp6emce+65rFy5ssI+pmkyfvx4WrRoQUxMDH379mXZsmUWVSyN0Yp8D6sKvNiA01vHY1MbFxERAJx2g5Zxoc5wG4r9BDUbXaTBW7FiBcFgkOeee45ly5bx+OOP8+yzz3LHHXdYXZo0AvPnVz0DPQofE7ibrzmRDqwhh0z+zmfcxGQ8VD0JJiYm1PN82DC44w74v/+D3bthyJAw/SVERESkXrK0J/q8efO4/vrr6dWrF36/nzvvvJP+/fvz22+/ERcXB8DDDz/MY489xquvvkqnTp2YOHEip512GitXriQhIcHK8qURKPEFmbuxGIDjMmJIj9EyAiIif9YyNoptbj9lAZNt7gAt4vRzUqQhGzBgAAMGDCi/365dO1auXMkzzzzDo5q2K2Hw5wVEX3ih8n06sZLpDKMXCwCYziWM4ikKSK6w37HHwvnnQ34+2GyhhUK1WKiIiIhUh6Vnuh9//HGF+6+88grp6eksXLiQk046CdM0mTJlCnfeeSeDBg0C4LXXXiMjI4M333yTq6++2oqypZEwTZNPNhbj9ps0jbZzfLNYq0sSEYk4dptB63gHawp9bCz2kR5jJ8qmK3ZEGpOCggKaNGlidRnSwAQCcP/98MQToZnhlTO5lmd4lJuIpZQ8krmGZ5nF0Ap72Wzw5pswdGgVw4iIiIgcQET1RC8oKAAoPwhft24d27Zto3///uX7uFwuTj75ZL799ttKx/B4PBQWFla4idTEb3l/tHE5KytBoZCISBUyYuzERBn4TdhU4re6HBGpQ2vWrOE///kP11xzzX730zG6HIzsbMjIgHvuqTpAb8ZWPuQMpnI9sZTyf5xCV5buE6ADzJypAF1EREQOTcSE6KZpMm7cOE488USOPPJIALZt2wZARkZGhX0zMjLKH/urSZMmkZSUVH7LzMwMb+HSIBX5AszdVALACc1jyYhVewIRkaoYhkGbeAcAW0r8eAJBiysSkYM1fvx4DMPY723BggUVnrNlyxYGDBjAkCFDuPLKK/c7vo7Rpbqys0MtV3btqnqf88hmKV05nY8pw8VoptCfuWymVYX9UlNhzhz1NxcREZFDFzHJ4KhRo/jll1/4+uuv93nM+MtCjqZp7rNtr9tvv51x48aV3y8sLNRBuhwU0zT5KKcYT8CkWWwUx2XEWF2SiEjES3HZSHTYKPQF2Vjsp0OS0+qSROQgjBo1igsvvHC/+7Rp06b86y1bttCvXz969+7N888/f8DxdYwu1REIwOjRVT+eQCFPcgMjeA2AxRzFJbzBcg6vsF98PNx8M9x5p/qdi4iISO2IiBD9X//6F++++y5fffUVrVr9MXugWbNmQGhGevPmzcu379ixY5/Z6Xu5XC5cLld4C5YG7ZddHtYW+rAbcFbreOxVfGAjIiJ/MAyDrIQolu72sr00QMu4IDFREXPBm4gcQFpaGmlpadXad/PmzfTr148ePXrwyiuvYLMd+Htdx+hSHfPnw6ZNlT92IvN5neG0YQNBDB7iVu5hAj7++NB2+HC47DItFioiIiK1z9KzW9M0GTVqFNnZ2Xz++ee0bdu2wuNt27alWbNmfPrpp+XbvF4v8+bN4/jjj6/rcqURyPcE+GxzqI3LSc1jSYuJiM+ZRETqhUSnnRRX6NAip1i90UUaoi1bttC3b18yMzN59NFH2blzJ9u2bauy1aLIwdi6dd9tTjxM4jbmcTJt2MA62nAy87iDSRUC9MxMeOUVOOUUBegiIiJS+yxNCK+//nrefPNN3nnnHRISEsoPvpOSkoiJicEwDMaMGcMDDzxAx44d6dixIw888ACxsbFcfPHFVpYuDUBOTg65ubnl901gAel4jWiSzTKiNuewaHP1xlq+fHl4ihQRqWdaxzvI83jILQvQyhckzqHZ6CINydy5c/n999/5/fffK1xBCqEJMiKH4k8XHwNwOMt4g0s4ip8BeIURjOYJikissJ9hwJQpCs9FREQkfCwN0Z955hkA+vbtW2H7K6+8wogRIwC45ZZbKC0t5brrriMvL49jjz2WuXPnkpCQUMfVSkOSk5NDly5dcLvd5dt6D72Sc26dhLe0hLsu7MeujesOetzi4uLaLFNEpN6Jd9hIjbazqyxATrGPLilq3yDSkIwYMaL8OF2ktu3cGQrCg4EgN/AkD3Ib0XjIJZWreJ63GLTPc1JT4fnnYdC+D4mIiIjUGktD9OrMVjEMg/HjxzN+/PjwFySNRm5uLm63m7ueeomsDp3x253kN8kCIMVfzIMvvH5Q433/xVxeeuheysrKwlGuiEi90jo+il1lAXZ7ghR5g1aXIyIi9UB2NgwdCi3MTbzKCE7lMwA+5HRG8hLbqDhNvUmT0CKkWjxURERE6oIaPkujltWhMx27dueXXR7wmyQ7bRzeIQvDaHNQ42xYvTI8BYqI1EOxUTbSY+zsKA2wodiHw+qCREQkogUCoUB8qDmDqVxHCvm4ieFGJvMs1wAGEFo09LTToGVL6NNH4bmIiIjUHYXo0ujlFPsp8ZtEGdAhyYlhGFaXJCJS72XGR7GzNECBN0iiI9bqckREJIJNviuPhzZdz8XMAOBHejGc11lF5wr7jRgBf+kEKiIiIlInFKJLo+ZzxJBb4gdCAbrLrgBdRKQ2RNttNIu1s9UdwB2fZnU5IiISQQIBmD8fNm+Gza9/zkWfXEYmm/Bj537uZCJ34a/kOqatWy0oVkRERASF6NKIueITKEoM9VZMj7GTGq3rQUVEalOrOAfbSwP4HTF0OekfVpcjIiIRIDs71Lpl56YyHuAObuFxAFbTgeG8zg8cV+Vzmzev8iERERGRsLJZXYCIVQbe+iBBu4Nou0HbBHXsFRGpbU67QYvY0Of1p11/OwdeTlxERBqqQADuvRfOPx+abPqZBfRk3J4A/Tmu4mgW7zdAz8wM9UEXERERsYJmokujtI1Yjj7zAjBNOiY5ibKpjYuISDi0jItic5GH5h2PYJuZa3U5IiJSh/a2bXnnHZg+HXbnBriZyUzkLpz42E46I3mJDzjrgGNNmaKFREVERMQ6CtGl0Sn0BviNJgDEuHeR2DzT4opERBquKJtBjHs37vimrCGJgGli1wLOIiINyt6wfOtWSE8PbXv/fXjjDdi5M3Q/i/XM5jJO5isA3uEc/skL7CT9gONPmACDBoWrehEREZEDU4gujYppmnywoRi/YWPjr4s4Kj0OUIguIhJOMaV57PACTZqydJeHo9KirS5JREQOwZ9D89Wr4YUXYNOmqvY2Gc7rPMUoEimimDhG8wQvcwVw4A9VW7WCO++szepFREREDp56okuj8sOOUjYU+7CZQWbddW01DttFRORQGabJFy9NAeCbbW78QXVHFxGpbwIB+PJLGDs2tMBnv35w8cVwzz1VB+hN2MX/GMI0LiORIr6lN935mZcZSXUCdMOAJ55QGxcRERGxnmaiS6OxpcTHV1vcABxGHrk5ay2uSESk8fhxzmsMvmkCRb4oFuWW8bf0GKtLEhGRKvx5pnnz5pCbGwrPq55tvq9/8DEvcwUt2IqPKMYznoe4lUA1T0FbtQoF6GrjIiIiIpFAIbo0Cp5AkHfXFxEEDkt20jKvxOqSREQaFb/XQ3sK+I1Uvt/upnuqC5ddF8SJiESa7GwYPfrgAvM/i8HNw9zCKJ4GYAWdGcZ0FtKz2mNMmBBq4aIZ6CIiIhIpdPYqjcLcjSXke4MkOmwMyIxXGxcREQu0oIQUlw2332TBzjKryxERkb/IzobBg2seoPdgAYs4pjxA/w+jOIZF1Q7QMzNhzhy4+24F6CIiIhJZNBNdGrxfd5exLM+DAZzTJoHoKH12JCJiBRvQp3kc764v4sftpRyTFk2MfiaLiFhqb+uWzZtDLVvMGixbYcfPbTzIPUzAgZ8tNOdyXmEu/zjgc0eMgFNPhZYtoU8fheciIiISmRSiS4OW5wkwd2OodcsJzWJpFe+wuCIRkcatS7KT76Lt7CwL8MP2Uvq2jLO6JBGRRutQW7cAtGMNrzOc4/kOgP8xmGt4lt2k7vd5mZkwZYp6nouIiEj9oOlf0mAFTJN31xfhDZq0iovi+GZaxE5ExGqGYXBSi1gAFuwspdgXtLgiEZHG6VBbt4DJlbzAz3TneL6jgESGM40LmFVlgN60KYwZA198AevWKUAXERGR+kMz0aXBmr/VzVa3H5fd4Ow2CdgMdUIXEYkEHRKdtIiNYovbz7fb3PTPjLe6JBGRRiUQCM1Ar0nrFoCm7OAF/slA3gVgHidxKdPIIWvffZvCJZfAwIFq1yIiIiL1l0J0aZDWF3n5fnspAKe3jifJqaN1EZFIYRgGJ7eIZcbvhSzZVcbf0mNIdunntIhIuO3tf/7ZZzWfgX4W7/EiV5LBDrw4uJP7mdVyHCOvstOxI6Snh/bbsQOaN1dwLiIiIg2DQnRpcNy+IO+vLwage6qLw5JdFlckIiJ/lZXgpE2Cg/VFPr7e5uasrASrSxIRadAOtf95HMU8xjiu4gUAfrMfyQcXTufMK7vzoIJyERERaeAUokuDYpomH+YUU+wPkuqyc0pLtQgQEYlUJzePZX1RAb/u9nBsegxNY3RYIiISDnv7n9e0fcs56d8z3TachG2/A7BxyDg6v3I/h8dF12KVIiIiIpFLC4tKg7Iot4zfC73YDTinTQJOu/qgi4hEquZxDjonOwH4aqvb4mpERBqmmvY/b9oU3njVx7rhd/N27gmhAD0zEz77jMxZk7ErQBcREZFGRFO+pMHY7vbz+eYSAPq1iCMjVv+9RUQiXZ/msazK97K6wMvmEh8t4xxWlyQi0qDMn39wLVyMPXNQpv97Jf2fGgYLFoQ2XHwxPP00JCfXeo0iIiIikU4z0aVB8ASCvLO+iIAJ7RMd9GiqmTEiIvVBWnQUXZuE1q74cksJZk17DYiISKW2bj24/Vu1NFl05VT633p0KEBPToYZM+CNNxSgi4iISKOlEF3qPdM0+WRjCbs9ARIcNs7MSsAw1MZFRKS+OKF5LHYDNhb7WVfks7ocEZEGpXnz6u13113wzeytbDjiDI564XooLYVTToGlS+HCC8NbpIiIiEiEU78LqRdycnLIzc2t9LFNxPGbkYphmhzm3cKKX9YfcLzly5fXcoUiIlJTSU47x6RF89POMuZtKaFtgkMfhoqI1JI+faBVK9i8ufK+6IYRenx892zsV18Fu3aBywUPPQT/+hfYNO9KRERERCG6RLycnBy6dOmC273vonMZHbpw/bRPcETDh0/ex22v/eegxi4uLq6tMkVE5BD0bhbLz7s8bC8NsCLfS5cUl9UliYg0CHY7PPEEDB4cCsz/HKQbBiSYhcxvfwP2Ia+FNh51FEyfDkccYUm9IiIiIpFIIbpEvNzcXNxuN3c99RJZHTqXbzcNg/yULAJRLhyeYoZdNJThFw2t1pjffzGXlx66l7KysnCVLSIiByE2ysbf0mP4epubr7aW0CnZiV2z0UVEasWgQTB7NoweXXGR0UFN5/OaOZy4LzeEEvVbb4UJE8DptK5YERERkQikEF3qjawOnenc7Sgg1Ad9dYGPQFkApw2OykzDkdW02mNtWL0yTFWKiEhN9UqPZlFuKXmeIL/sKuPotBirSxIRaTAGDYKBA2H+fNie46H3x/eQOfNhDNOENm1g2rRQ7xcRERER2Yca3Em9tKM0wM6yAACdkp04bJqtKCJS37nsNo7PiAXgm62l+IKVNO8VEZEas9uhb9NlDH3sWFrPeCgUoI8YAT//rABdREREZD80E13qnRJfkLWFPgCy4qNIctotrkhERKqjuos6R9OCYn8U7y5ZQ1sKq9wvLS2N1q1b11Z5IiINWzAITz4Jt90GHg+kpsLzz4emqIuIiIjIfilEl3rFHzRZke8lCCQ7bbSM039hEZFIt2vHNjAMhg0bVq39jz7zAi6472mWFtu4bGB/SvJ3VbpfbGwsy5cvV5AuInIgmzaFZpx/9lno/umnw0svQfPmlpYlIiIiUl8ogZR6wwRWF3gpC5i4bAadkp0YWnRORCTiFRcUgGky6r7JdO917AH3N4F8XxnRCYlMfP874ot37LPPht9XMnHUSHJzcxWii4jsz8yZcO21kJ8PMTEweTJcc01oIVERERERqRaF6FJvlMY2we0JYgCdU9QHXUSkvmnZtn35AtEHku8JsCzPS1lsCl1aNyM2Ssu4iIgclLw8GDUK3nwzdL9XL3j9dejc2dq6REREROohnZFKvdCu14m449JCXyc6SHDov66ISEOW7LLTxBX6Wb++yGdxNSIi9cznn0O3bqEA3W6Hu++Gb75RgC4iIiJSQ5qJLhGvDDsXTXoeDIP0GDsZMVpIVESkMWiT4CDP4yHPEyTfEyDZpZ//IiIAgQDMnw9bt4bamvfpE8rKKSsjeNsd2J54HIDSFu1xzpqO/YTjrC1YREREpJ7TdF6JaIGgyc+kEd+kKXZfGe0SHeqDLiLSSMRE2WgWGwrO1xX5ME3T4opERKyXnQ1t2kC/fnDxxaE/27SBzx77mYJOPcsD9Oe4iqZbltDmwuPIzra0ZBEREZF6TyG6RLTPNpdQYLgoLcwnsWALdgXoIiKNSma8A7sBbr/JjtKA1eWIiFgqOxsGD4ZNm/7YZiPAxZseps+NvUjauIztpHM273INz1FCPJs3h56jIF1ERESk5hSiS8T6dXcZi3LLAPjvXddhD6onrohIY+OwGWTGh7rPbSj2EQhqNrqINE6BAIweDX++KCeL9XzO33mIW3Hi4x3OoStLeZ+zy/fZu/+YMaExREREROTgKUSXiLSlxMdHOcUAtDMLWPn1pxZXJCIiVmkeG0W03cAXhE0lfqvLERGxxPz5f56BbjKcafxCN07mK4qJ40pe4FzeZifp+zzXNGHjxtAYIiIiInLwFKJLxCnyBcheW0TAhA6JTtpTYHVJIiJiIZthkJXgAGBLiR9PQLPRRaTx2bo19GcTdvE/hjCNy0ikiG/pTXd+5iWuBPbf+nDvGCIiIiJycBSiS0TxBU2y1xZR7A+SFm3n7DbxBzgVEBGRxiDVZSPRYSMIbChSey8RaXyaN4d/8DFL6cpg5uAjijuZyEl8xVraV3sMERERETl4UVYXILKXaZp8nFPMVrefaLvB+e0Scdn1OY+IiIBhGLRJdPDLLg87ywIkOWKsLklEpO643Zz0v1voy9MArKAzw5jOQnpW6+mGAa1aQZ8+4SxSREREpOFSQikR48cdpSzL82AA57ZNIMVlt7okERGJIAkOGxkxod8NxfHp2Oz6PSEijcDChXDMMdimhgL0pxhFDxZVCNCNP126afzlMs6996dMAf3YFBEREakZhegSEdYUePliixuAU1vF0SbBaXFFIiISibISHEQZEHBEc+zgy60uR0QkfPx+mDgRjjsOVq4M9WL5+GNazPkPTVrFVti1VSuYMyd0a9mSfR6bPRsGDarD2kVEREQaGLVzEcvllvl5d30RAEelRnNMWrTFFYmISKRy2AxaJzhYW+ij/3W346HQ6pJERGrfmjUwfDh8913o/uDB8OyzkJrKIGDgQJg/P7RQaPPmoTYte2eZ7+8xEREREakZhegSFjk5OeTm5h5wPy82fiADj+Eg2SwjLTeHxX952vLly8NUpYiI1EfNYuzk7CoiOiGRVaad3lYXJCJSW0wTXnoJxoyBkhJITISnnoJhwyr0abHboW/fyofY32MiIiIiUjMK0aXW5eTk0KVLF9xu9373c0THcOVz2bTu2ordmzcw8dIBlORVHbwXFxfXdqkiIlIPGYZBXNF28pIz2WqLY32RV23ARKT+27ED/vlPePfd0P2TToJp0yAry9q6REREREQhutS+3Nxc3G43dz31ElkdOle6jwkUJbbAG52AEQzQLjrIlBlvV7rv91/M5aWH7qWsrCx8RYuISL3i8Jfxw+xX6X3BFXycU8zILik4bMaBnygiEoneew+uvDIUpDscoV7oN96oPiwiIiIiEUIhuoRNVofOdO52VKWPrS304nUHMIAj0mJIanF4leNsWL0yPAWKiEi99sl/7qPvkEvJ90bxzVY3fVvGWV2SiMjBKS6GcePghRdC9484At54A7p3t7YuEREREanAZnUB0vhsKfGz1R0AoGOSgySnZtiIiMjB85QU04U8AH7YUcp2t9/iikREDsL338PRR/8RoI8bBwsWKEAXERERiUAK0aVO7SoLsK7IB0BWfBRNY3QxhIiI1Fw6pXROdmICH+UUEzRNq0sSEdk/nw/uvhtOOAF+/x1atYLPPiPw8GS+/D6aGTPgyy8hELC6UBERERHZSyG61Jkib5BV+V4AmsXYaRmnAF1ERA7daa3icdkNtpX6+W57qdXliIhUbeVKOP54uO8+CAbh4ovhl1/Izv87bdpAv36hTf36QZs2kJ1tdcEiIiIiAgrRpY64/UF+y/MQBFJcNtolOjAMLQAnIiKHLt5h47RWoX7o32x1s01tXUQk0pgmTJ0aat+yYAEkJ8OMGfDGG2R/kcLgwbBpU8WnbN4MgwcrSBcRERGJBArRJezKAkGW7fbiNyEuyqBzklMBuoiI1KojUlx0SnISBD7YUIQ/qLYuIhIhtm6FM86A66+H0lI45RRYuhQuvJBAAEaPDmXsf7V325gxau0iIiIiYjWF6BJW3oDJst1evEGTGLvBEU1c2G0K0EVEpHYZhsGAzHhiowx2lgWYv9VtdUkiEoECgVC/8XD2Hf/za/x6bzZm167w8cfgcsGUKTB3bqgPOjB//r4z0P/MNGHjxtB+IiIiImIdhegSNkHDxrI8D2UBE9eeAN2hAF1ERMIk1mFjQGY8AD/sKGVDkdfiikQkkmRnE/a+43tf45x+hXguHsGR95yPsWsX+W2PgoULQ9PObX+cgm3dWr1xq7ufiIiIiISHQnQJC0d0LIXJrXD7TRw2OCLFicuuAF1ERMKrU7KLbqkuAN5bX0yJL2hxRSINzznnnEPr1q2Jjo6mefPmDB8+nC1btlhd1n5lZxP2vuN7X6PNpvn8THdG8BpBDB7kNjLW/UD2yiP2eU7z5tUbu7r7iYiIiEh4KESXWhcEhk9+Fb8jhigj1Kc2Jkr/1UREpG6c2jKetGg7xf4g728owqys2bCI1Fi/fv2YNWsWK1euZM6cOaxZs4bBgwdbXVaV6qLveCAAN93g5X7zduZxMm1ZzzracDLzuJ1J+Axnpa/Rp0+os0tVywUZBmRmhvYTEREREeso2ZRaFTRNfiGNjr37QTDI4Sku4hz6byYiInXHaTcY2CaBKAPWFfn4YUep1SWJNChjx47luOOOIysri+OPP57bbruN77//Hp/PZ3VplaqLvuMLpy1jzuZjuZ0HsWHyCiPozs98TZ/9vobdDk88Efr6r0H63vtTpoT2ExERERHrKN2UWhMwTd5ZX8QOIxa/10NiwWYSnPovJiIida9pTBSn7emPPm+LW/3RRcJk9+7dvPHGGxx//PE4HI4q9/N4PBQWFla41ZWw9h0PBmHKFHpc3YOjWUIuqQxiDlfwCkUkVus1Bg2C2bOhZcuK21u1Cm0fNKgGdYmIiIhIrVLCKbUiEDR5e10RK/O9GKbJG7dcgdPntrosERFpxLo1cXFEigsTeHt9EfmeQ+jVICIV3HrrrcTFxZGamkpOTg7vvPPOfvefNGkSSUlJ5bfMzMw6qjSMfcc3bYL+/WHsWOw+Dx8xgK4s5S2qTr2reo1Bg2D9evjiC3jzzdCf69YpQBcRERGJFArR5ZD5gybZ6wpZXeDFbsBR7GTFV3OtLktERBo5wzAY0DqejBg7pf7Q7ypvQP3RRSozfvx4DMPY723BggXl+998880sXryYuXPnYrfbufTSS/e7/sDtt99OQUFB+W3jxo118dcCwtR3fOZM6NoVPvsMYmII/udprmr5IduNylPy6ryG3Q59+8JFF4X+VAsXERERkcgRZXUBUr/5giZvrS1kbZGPKAPOb5dI3u85VpclIiICgMNmcH67RF5dmc+O0gAf5hQxsE0CRlVpmkgjNWrUKC688ML97tOmTZvyr9PS0khLS6NTp0506dKFzMxMvv/+e3r37l3pc10uFy6XqzZLrra9fccHDw6F2X/O+g+673heHowaFZouDtCzJ0yfjq1zZ55oUUuvISIiIiIRRyG61JgvaDJnbSHr9wTog9sn0ibBSZ7VhYmIiPxJotPOeW0TmfF7ASvyvaRsdXNyiziryxKJKHtD8ZrYOwPd4/HUZkm1am/f8dGjKy4y2qpVKNyuVtuUzz+Hyy4LDWCzwZ13wr//DXt6wdfKa4iIiIhIRFKILjXiDZjMXltITrEPhw2GtEuidULVi0mJiIhYKTPewYDMeD7MKea77aXEO2z0aBpjdVki9c6PP/7Ijz/+yIknnkhKSgpr167l7rvvpn379lXOQo8UgwbBwIEwf35ogc/mzUPtVQ44O7ysDO64Ax5/PHS/fXuYPh2OO672XkNEREREIppCdDlobn+Q/60pZKvbj9NmMKR9IpnxCtBFRCSydUuNpsgXZP5WN59uKiEuysZhKda0lxCpr2JiYsjOzuaee+6hpKSE5s2bM2DAAGbOnGlZu5aDsbfveLX9/DNccgksWxa6f9VVMHkyxMfX3muIiIiISMRTiC4HpcAb4L+/F7LbEyDaHgrQW8YpQBcRkfrh+IwYin1BFueW8d6GIlx2g7aJTqvLEqk3unbtyueff251GeEXCITC8rvuAp8P0tPhxRfh7LOtrkxERERELGCzugCpP3aU+nl9VQG7PQESHTaGdUpSgC4iIvWKYRic1iqOTklOAibMWVvIukKv1WWJSCRZvx7+/ne49dZQgH7OObB0qQJ0ERERkUZMIbpUy5oCL9NXFVDsC5IWbWdYpyTSonUhg4iI1D82w+CcNgl0SHTiN2H22kLWKkgXEdOEadOgWzf46iuIi4MXXoC33w7NRBcRERGRRkshuhzQwp2lzF5biDdo0jrewbCOSSQ6tTqSiIjUX1E2g/PaJtDhTzPSVxd4rC5LRKyyaxdccAFcdhkUFUHv3qF+6FdeCYZhdXUiIiIiYjGF6FKlQNDkk43FfLqpBBPo1sTF0PaJREfpv42IiNR/dpvBeW0S6LgnSM9eW8Ti3FKryxKRuvbJJ9C1K8yeDVFRMHFiaCZ6+/ZWVyYiIiIiEUL9OKRSRb4Ab68rYnOJH4CTm8dyXEYMhmbiiIhIBFm+fPkhj5EFlNCELUY8n2wsocgbpE/zWP3OE2no3O5Q3/Onngrd79wZpk+Hnj2trUtEREREIo5CdNnHxmIfb68rpMRv4rIbnJOVQPskp9VliYiIlNu1YxsYBsOGDau1MQeMuoOTrxjLt9tL2e0JcEbrBJx2BekiDdLChTBsGKxYEbp//fXw8MMQG2ttXSIiIiISkRSiS7mgafLttlK+2ebGBJpG2xnULpEUl/qfi4hIZCkuKADTZNR9k+ne69hDHm/D7yuZOGok115+KSuMVFbke9lZls+gtgmkaiFtkYbD74cHH4QJE0JfN28OL78MAwZYXZmIiIiIRDCdFQoAhd4A764vYtOe9i1HNnHRv1W8ZuCJiEhEa9m2PZ27HVVr47WihGM6tuPt9UXsKgvw2soCBmTGc3gTV629hohYaMwYePrp0Nfnnw/PPQepqZaWJCIiIiKRTytENnKmabIkt4yXluezqcSP02ZwdlY8Z2XpEnYREWmcWsU7uLxzMq3jHXiDJu9uKOLtdYW4/UGrSxORQzV2LLRoAa+9Bv/7nwJ0EREREakWzURvxPI9AT7eWMz6Ih8ALWKjOLtNgtq3iIhIoxfnsHFhh8TyNmcr8r1sLM7jH5nxdExyatFRkfqqfXtYuxZcurpERERERKpPIXoj5A+a/LCjlO+2ufGbEGVAn+ax9EqPwaZQQEREBACbYXBi81g6JDl5f0MRuWUBstcV0S7RwWmt4vWhs0h9pQBdRERERA6SQvRGxDRNVhV4+XxzCQXe0CXpmfFRnJ6ZQJNoBQEiIiKVaRYbxYjOyXyzzc0PO0pZW+jjxeV59EqP4bj0GKKj1B1PRERERESkIVOI3giYpsmGIh/ztrrZ6g4tHJrgsNGvZRxdknVJuoiIyIFE2QxObhFH1ybRfLqpmHVFPr7fXsri3DKOS4+hR9MYrSUiIiIiIiLSQClEb8BM02RtoY/vd7jZWBwKzx026Nk0ht4ZsTrZFxEROUhNou1c0D6R3wu9fLXFzc6yAPO2uvlpZyk9msZwTFo0MZqZLiIiIiIi0qAoRA+znJwccnNza228tLQ0Wrduvd99vAGT5fkeftpRSm5ZAAC7AUelRXN8Rixxjoon97Vd4/Lly2ttLBERkUhjGAYdk1y0T3SyPM/D/K1u8r1B5m918/12N12bRHNM02jSonWYJSIiIiIi0hDo7C6McnJy6NKlC263u9bGjI2NZfny5fsE6aZpstXt55ddHn7L8+ANmgA4bQZHpUXTs2k0ic59+56Ho8a9iouLa31MERGRSGEzDI5oEk2XFBcr8r18v93NjtIAi3LLWJRbRut4B0elRdMxyYnDpqu/RERERERE6iuF6GGUm5uL2+3mrqdeIqtD50Meb8PvK5k4aiS5ubm0bt0a0zTZXhpgRb6HFXke8vcsFgqQ7LRxdFo03dOiibZXfVl5bdcI8P0Xc3npoXspKyurlfFEREQimc0wODzFRZdkJ+uLfCzKLeP3Ai85xT5yin04bQYdk5wcnuKiTaIDu9YiERERERERqVcUoteBrA6d6dztqFoZKy4ljW3E8OGGItYW+Sj2/RGcRxnQKdlF91QXreMdB7VgaG3WuGH1yloZR0REpD4xDIO2iU7aJjop9AZYsquMZbs9FHiDLMvzsCzPQ0yUQZdkF11SXLSMi8KmQF1ERERERCTiKUSPYKZpUhowKfQGKfIG2d2kLXd9tpxfAHZ7gNBCoe0SnRyWHOrNqsVCRURErJfotHNS8zj6NItli9vPst0eVuR7cPvN8nYvMVEG7ROdtE900jbRsd8rx0RERERERMQ6CtEjRNA0cftN3P4gJT6TEn+QEl8Qv/mnnaKcoT/KimjhMmlKGcmBMux5UJoHv9bgdbUIqIiIyB9q+/eix+PB5XKRBhwP7CaabcSyg1hK/TZ+3e3h190eDNMkGQ9NKSWVMuLxUdnH4tVZYFxERERERERql0L0OmaaJt6gSYlvT2DuDwXmpRXS8j/YgHiHjUSnjU3LFjNhxCDKCvNrvS4tAioiIo3Zrh3bwDAYNmxYrY5rGAamue/veFtUFFnd/sZhJ51G5xNPI6NdZ/KIJo9oAIp27WDtT1+z5qf5/P7jfPI2bwCqXmBcREREREREwkchehj5Mcg88hjKopNYW+gtn2EeqDwvJ8qAWIeNuCiDuChb+dd7+6Wu3LyOssJ8Rt03me69jq2VGrUIqIiICBQXFIBphuV3bHXGDOxai9cZh9cZj88ZQ0JqOt0HDKL7gEEA2AJePLu28e6zj7MhN5/MzMyDWvtEREREREREak4hepisL/LyOa24btonFAPF7kD5YwYQE2UQG7UnMHfYiI2y4bRRrRPilm3baxFQERGRMAjH79iDHTNomhT5ghR4ghR4gxT5ggTtThzprTn/7sf5Bli0dDct4x20iouiZZyDjJgorYsiIiIiIiISJgrRw6SJyw6GQeHO7aQmxtM0JYk4R2iGecyfZpeLiIiI/JnNMEhy2kly2gEIBE0KfUHWbdrKsuUr6NCjN6UBG78XePm9wAuEPqBPjbbTLDaK5rFRNIuNIj0mCodNxxsiIiIiIiKHSiF6mCQ4bJxsbuL4fxzNCx9/TdusNKtLEhERkXrIbjNIcdnZUZLLC1edy08LF9KiU1c2FvvYVOJnm9tPkS9IblmA3LIAv+72AKFgPdllIy06irRo+55bFKnRdqIUrouIiIiIiFSbQvQwMQwDF0GryxAREZEGZuXy5dgAB9B2z82DjUKcFOCiECeFOPEadvI8QfI8XlYX/GkA08RFgBj8xBAgNdZJ66YpJDltxDtsxEXZcNmNGvdcz8nJITc399D/on/i8XhwuVy1Nl5aWpoWZxURERERkWqrFyH61KlTeeSRR9i6dStHHHEEU6ZMoU+fPlaXJSIiIlJndu3YBobBsGHDqrV/fGo6Ge07k9HuMNL3/JnRvjMxicl4iMJDFPnA1lL4Nae4wnNtBsRG2Yjds9i5y27gshs4bQbOPX+67DaibGA3DGxG6M/cnTu4YsQVuEuKCfi8BPx+gn4fZjCIaQYJBkJ/7r1vBoMEAwFM06y4LRgI3Q+amGYQTDO0bc++hyo2Npbly5crSBcRERERkWqJ+BD9v//9L2PGjGHq1KmccMIJPPfcc5x++un89ttvOvERERGRRqO4oABMk1H3TaZ7r2NrNIZZth3Tk0vA7iBod7ArP5/FC37ijEEXYEbHU+IP4gmYBE0o9gUp9gEEDjTsn0Rz6X9m1qi2g1IhSA99bZh/fF1xWxDDNME0MUwTj7uY1UuXsCy3BB1KioiIiIhIdUR8iP7YY48xcuRIrrzySgCmTJnCJ598wjPPPMOkSZMsrk5ERESkbrVs257O3Y6qlbFW/rKEe+6/iX8P6scxh2cC4A+auP1B3H6TEl+wPFj3Bk28f/rTEzQJBE0CJgTN0J/FJW5Wr1lDizbtcbhcoRnm/JF5V4i4zb9G3gehQquZ0NdmJd1nKhvX7ozhsD6nUWbmHeyrioiIiIhIIxXRIbrX62XhwoXcdtttFbb379+fb7/91qKqRERERBquKJtBotNOovPgn7to0VpGXXASL3z89UEH/X9u01Ierpvw2btzeOSWfzH++Tf520l9KwnkzUoDeXPPNtOEwJ4wP2jC5g3reeXxB3nsntsP/i8oIiIiIiKNUkSH6Lm5uQQCATIyMipsz8jIYNu2bZU+x+Px4PF4yu8XFIRW0iosLAxfoVUoLg71F121dAmlJSWHPN6GNasAWLd8GXExMYc8Xn0ZUzWqxkgasz7UGI4xVaNqbOhjNtYaN65dDcDChQvLj1sOxcqVK4HaO/YB2LBqOZ7iItYt+4U4Vw2S/b/YuHY1C9+dATdeU+fHh3tfrzb6utd3e98DK47RRURERET2qu4xumFG8FH8li1baNmyJd9++y29e/cu337//ffz+uuvs2LFin2eM378eCZMmFCXZYqIiIiIVNvGjRtp1aqV1WVYatOmTWRmZlpdhoiIiIgIcOBj9IieiZ6Wlobdbt9n1vmOHTv2mZ2+1+233864cePK7weDQXbv3k1qaiqGUUmzzDAoLCwkMzOTjRs3kpiYWCev2djpPa9ber/rlt7vuqX3u27p/a57es/r1p/f74SEBIqKimjRooXVZVmuRYsW5e9JXR2jh4O+n6yl999aev+tp38Da+n9t57+DazVUN5/0zSrdYwe0SG60+mkR48efPrpp5x33nnl2z/99FMGDhxY6XNcLhcul6vCtuTk5HCWWaXExMR6/Z+oPtJ7Xrf0ftctvd91S+933dL7Xff0ntetve93UlKS1aVEBJvN1qBm4+v7yVp6/62l9996+jewlt5/6+nfwFoN4f2vzjF6RIfoAOPGjWP48OH07NmT3r178/zzz5OTk8M111xjdWkiIiIiIiIiIiIi0sBFfIg+dOhQdu3axb333svWrVs58sgj+fDDD8nKyrK6NBERERERERERERFp4CI+RAe47rrruO6666wuo9pcLhf33HPPPm1lJHz0ntctvd91S+933dL7Xbf0ftc9ved1S+93w6Z/X2vp/beW3n/r6d/AWnr/rad/A2s1tvffME3TtLoIEREREREREREREZFIZLO6ABERERERERERERGRSKUQXURERERERERERESkCgrRRURERERERERERESqoBC9Dpxzzjm0bt2a6OhomjdvzvDhw9myZYvVZTVI69evZ+TIkbRt25aYmBjat2/PPffcg9frtbq0Buv+++/n+OOPJzY2luTkZKvLaXCmTp1K27ZtiY6OpkePHsyfP9/qkhqsr776irPPPpsWLVpgGAZvv/221SU1aJMmTaJXr14kJCSQnp7Oueeey8qVK60uq8F65pln6NatG4mJiSQmJtK7d28++ugjq8tqNCZNmoRhGIwZM8bqUiSMdMxvHZ0DRAadF9QtnSdYR+cN1tJ5hPUa67mFQvQ60K9fP2bNmsXKlSuZM2cOa9asYfDgwVaX1SCtWLGCYDDIc889x7Jly3j88cd59tlnueOOO6wurcHyer0MGTKEa6+91upSGpz//ve/jBkzhjvvvJPFixfTp08fTj/9dHJycqwurUEqKSmhe/fuPPXUU1aX0ijMmzeP66+/nu+//55PP/0Uv99P//79KSkpsbq0BqlVq1Y8+OCDLFiwgAULFvD3v/+dgQMHsmzZMqtLa/B++uknnn/+ebp162Z1KRJmOua3js4BIoPOC+qOzhOspfMGa+k8wnqN9dzCME3TtLqIxubdd9/l3HPPxePx4HA4rC6nwXvkkUd45plnWLt2rdWlNGivvvoqY8aMIT8/3+pSGoxjjz2WY445hmeeeaZ8W5cuXTj33HOZNGmShZU1fIZh8NZbb3HuuedaXUqjsXPnTtLT05k3bx4nnXSS1eU0Ck2aNOGRRx5h5MiRVpfSYBUXF3PMMccwdepUJk6cyFFHHcWUKVOsLkvqiI75raVzAOvovCD8dJ4QOXTeYD2dR0SGxnBuoZnodWz37t288cYbHH/88TqYriMFBQU0adLE6jJEDorX62XhwoX079+/wvb+/fvz7bffWlSVSPgUFBQA6Od1HQgEAsycOZOSkhJ69+5tdTkN2vXXX8+ZZ57JqaeeanUpUsd0zG89nQNIQ6XzBJGKdB5hrcZ0bqEQvY7ceuutxMXFkZqaSk5ODu+8847VJTUKa9as4T//+Q/XXHON1aWIHJTc3FwCgQAZGRkVtmdkZLBt2zaLqhIJD9M0GTduHCeeeCJHHnmk1eU0WEuXLiU+Ph6Xy8U111zDW2+9xeGHH251WQ3WzJkzWbRokWYENjI65o8MOgeQhkznCSJ/+P/27jwmquvtA/h3gIIgqAgoLixWBURxAQoRq4hQFpeiuBBcQMGtFcSFaiu1P4ypxSqRaq1pYxiaoEioSgkqgVoBFQRRB0SwIKCI0CqiTREFHeb9oy83jjAoVBwdvp9kEuacuzz3zoSc55kzZ5hHKE9PzC1YRO+iiIgIiESiDh/5+fnC9p999hmuXLmCtLQ0qKurw9/fH1xJ59V19n4DQE1NDTw9PTF//nwsX75cSZG/m7pyv6l7iEQiuecymaxNG9G7Ljg4GIWFhYiPj1d2KCrN0tISEokEFy5cwCeffIKAgAAUFxcrOyyVdPv2bYSGhiIuLg69evVSdjj0H3DMr1zMAZSPecHbi3kCEfMIZeqJuQXXRO+iuro61NXVdbiNubl5u4lTdXU1TExMkJ2drfJfdXhdOnu/a2pq4OLiAkdHR8TGxkJNjZ8XdUZX3t9c+/D1am5uho6ODhITEzFnzhyhPTQ0FBKJBJmZmUqMTvVxbcM3JyQkBElJScjKysKwYcOUHU6P4ubmhuHDh+PHH39UdigqJykpCXPmzIG6urrQJpVKIRKJoKamhqamJrk+entxzK9czAGUj3nB24d5wtuFeYPyMI94u/SE3EJD2QG8qwwNDWFoaNilfVs/t2hqanqdIam0ztzvO3fuwMXFBXZ2dhCLxRw8d8F/eX/T66GpqQk7Ozukp6fLDY7T09Ph7e2txMiIXg+ZTIaQkBAcP34cGRkZHPgqgUwm41ikm7i6uuLq1atybcuWLYOVlRU2b97MAvo7hGN+5WIOoHzMC94+zBOop2Me8XbqCbkFi+jdLC8vD3l5efjwww+hr6+PiooKfPXVVxg+fDhnpHSDmpoaTJ06Faampti9ezfu3bsn9BkbGysxMtVVVVWF+vp6VFVVQSqVQiKRAABGjBgBXV1d5Qb3jtuwYQOWLFkCe3t7TJw4ET/99BOqqqq4vmc3aWhowI0bN4TnlZWVkEgk6N+/P0xNTZUYmWpas2YNDh8+jF9//RV6enrCGp59+/aFtra2kqNTPVu2bIGXlxdMTEzwzz//4MiRI8jIyEBqaqqyQ1NJenp6bdblbF0nm+t1qiaO+ZWLOcDbgXnBm8M8QbmYNygX8wjl67G5hYy6VWFhoczFxUXWv39/mZaWlszc3Fy2evVqWXV1tbJDU0lisVgGoN0HdY+AgIB27/eZM2eUHZpK2L9/v8zMzEymqakps7W1lWVmZio7JJV15syZdt/LAQEByg5NJSn6Xy0Wi5UdmkoKDAwU/pcYGRnJXF1dZWlpacoOq0dxdnaWhYaGKjsM6iYc8ysXc4C3A/OCN4t5gvIwb1Au5hHK11NzC66JTkRERERERERERESkABeKIyIiIiIiIiIiIiJSgEV0IiIiIiIiIiIiIiIFWEQnIiIiIiIiIiIiIlKARXQiIiIiIiIiIiIiIgVYRCciIiIiIiIiIiIiUoBFdCIiIiIiIiIiIiIiBVhEJyIiIiIiIiIiIiJSgEV0IiIiIiIiIiIiIiIFWEQnIqIOTZ06FevWrVN2GEREREREcm7evAmRSASJRKLsUDrF3Nwc0dHRr+14qjReF4lESEpKAvDuvr5EpJpYRCciUmGzZs2Cm5tbu305OTkQiUS4fPnyG46KiIiIiKhjIpGow8fSpUuVHeJLxcbGol+/fm3aL168iJUrV77RWB4/foz//e9/sLS0hJaWFgwNDTFv3jxcu3btjcbRKiIiAuPHj2/TXltbCy8vrzcfEBHRS7CITkSkwoKCgvD777/j1q1bbfpiYmIwfvx42NraKiEyIiIiIiLFamtrhUd0dDT69Okj1/bdd98pLTapVIqWlpYu729kZAQdHZ3XGFHHmpqa4ObmhpiYGGzfvh2lpaU4efIkpFIpHB0dceHChTcWy8sYGxtDS0tL2WEQEbXBIjoRkQqbOXMmBgwYgNjYWLn2xsZGJCQkYPbs2fDz88PQoUOho6MDGxsbxMfHd3jM579i2apfv35y57hz5w58fX2hr68PAwMDeHt74+bNm6/nooiIiIhI5RkbGwuPvn37QiQStWlrVVFRARcXF+jo6GDcuHHIycmRO1Z2djamTJkCbW1tmJiYYO3atXj06JHQ/+DBA/j7+0NfXx86Ojrw8vJCWVmZ0N86ozwlJQXW1tbQ0tLCrVu30NzcjE2bNmHIkCHo3bs3HB0dkZGRAQDIyMjAsmXL8Pfffwuz5yMiIgC0Xc7l4cOHWLlyJQYOHIhevXphzJgxSElJAQDcv3+/0+P1F0VHRyMnJwcpKSlYsGABzMzM4ODggKNHj2LUqFEICgqCTCYD0P7SMLNnz5ab+R8XFwd7e3vo6enB2NgYCxcuxN27d4X+jIwMiEQinD59Gvb29tDR0YGTkxP++OMP4X5u27YNBQUFwr1pzSXayzWeV1xcjOnTp0NXVxcDBw7EkiVLUFdXJ/T/8ssvsLGxgba2NgwMDODm5ib3WhMRdRWL6EREKkxDQwP+/v6IjY0VBsYAkJiYiObmZixfvhx2dnZISUlBUVERVq5ciSVLliA3N7fL52xsbISLiwt0dXWRlZWFc+fOQVdXF56enmhubn4dl0VEREREJAgPD0dYWBgkEgksLCzg5+eHZ8+eAQCuXr0KDw8P+Pj4oLCwEAkJCTh37hyCg4OF/ZcuXYr8/HwkJycjJycHMpkM06dPx9OnT4VtGhsb8c033+DgwYO4du0aBgwYgGXLluH8+fM4cuQICgsLMX/+fHh6eqKsrAxOTk5tZtCHhYW1ib2lpQVeXl7Izs5GXFwciouLERkZCXV1dQDAkydP/vN4/fDhw/joo48wbtw4uXY1NTWsX78excXFKCgoeOXjNTc3Y/v27SgoKEBSUhIqKyvbXV4nPDwcUVFRyM/Ph4aGBgIDAwEAvr6+2LhxI0aPHi3cG19f35eet7a2Fs7Ozhg/fjzy8/ORmpqKv/76CwsWLBD6/fz8EBgYiJKSEmRkZMDHx0cuDyIi6ioNZQdARETdKzAwELt27UJGRgZcXFwA/LuUi4+PD4YMGSI3mA8JCUFqaioSExPh6OjYpfMdOXIEampqOHjwIEQiEQBALBajX79+yMjIgLu7+3+/KCIiIiKi/xcWFoYZM2YAALZt24bRo0fjxo0bsLKywq5du7Bw4UJhdvXIkSOxd+9eODs748CBA7h9+zaSk5Nx/vx5ODk5AQAOHToEExMTJCUlYf78+QCAp0+f4ocffhAK0eXl5YiPj0d1dTUGDx4sxJGamgqxWIwdGZw24QAAB6VJREFUO3bIzaBX5LfffkNeXh5KSkpgYWEBAHj//feF/tcxXi8tLRXygBeNGjVK2Ka9Ncrb01oMb4117969cHBwQENDA3R1dYW+r7/+Gs7OzgCAzz//HDNmzMCTJ0+gra0NXV1daGhodHhvXnTgwAHY2tpix44dQltMTAxMTExQWlqKhoYGPHv2DD4+PjAzMwMA2NjYvPLxiYg6wiI6EZGKs7KygpOTE2JiYuDi4oLy8nKcPXsWaWlpkEqliIyMREJCAu7cuYOmpiY0NTWhd+/eXT7fpUuXcOPGDejp6cm1P3nyBOXl5f/1coiIiIiI5IwdO1b4e9CgQQCAu3fvwsrKShibHjp0SNhGJpOhpaUFlZWVKCsrg4aGhlxB2sDAAJaWligpKRHaNDU15c5z+fJlyGQyofDdqqmpCQYGBq8cu0QiwdChQ9scp1V3jNef1zpLW1NT85X3uXLlCiIiIiCRSFBfXy+sD19VVQVra2thO0Wvi6mpaZdivXTpEs6cOSNXqG9VXl4Od3d3uLq6wsbGBh4eHnB3d8e8efOgr6/fpfMRET2PRXQioh4gKCgIwcHB2L9/P8RiMczMzODq6opdu3Zhz549iI6Oho2NDXr37o1169Z1uOyKSCRq85XI57/q2tLSAjs7O7lEpZWRkdHruygiIiIiIgDvvfee8HfrNyFbC7stLS1YtWoV1q5d22Y/U1NTlJaWtntMmUwmHAsAtLW15Z63tLRAXV0dly5dEpZeadVekVcRbW3tDvujoqI6PV5/0ciRI1FcXNxu3/Xr1wFAKOKrqal1ONZ/9OgR3N3d4e7ujri4OBgZGaGqqgoeHh5tYurodemKlpYWzJo1Czt37mzTN2jQIKirqyM9PR3Z2dlIS0vDvn37EB4ejtzcXAwbNqzL5yUiAlhEJyLqERYsWIDQ0FAcPnwYP//8M1asWAGRSISzZ8/C29sbixcvBvDvwLSsrEz4Wmd7jIyMUFtbKzwvKytDY2Oj8NzW1hYJCQkYMGAA+vTp030XRURERET0Era2trh27RpGjBjRbr+1tTWePXuG3NxcYTmX+/fvo7S0tMMx8YQJEyCVSnH37l1Mnjy53W00NTUhlUo7jG/s2LGorq5GaWlpu7PRuzJef5Gfnx/Cw8NRUFAgty56S0sL9uzZA3t7e2EG+YtjfalUiqKiImE5mOvXr6Ourg6RkZEwMTEBAOTn579yLK1e5d68yNbWFkePHoW5uTk0NNovZ4lEIkyaNAmTJk3CV199BTMzMxw/fhwbNmzodIxERM/jD4sSEfUAurq68PX1xZYtW1BTUyP88M+IESOE2RolJSVYtWoV/vzzzw6PNW3aNHz//fe4fPky8vPzsXr1arlZJosWLYKhoSG8vb1x9uxZVFZWIjMzE6Ghoaiuru7OyyQiIiIikrN582bk5ORgzZo1kEgkKCsrQ3JyMkJCQgD8O0vb29sbK1aswLlz51BQUIDFixdjyJAh8Pb2VnhcCwsLLFq0CP7+/jh27BgqKytx8eJF7Ny5EydPngQAmJubo6GhAadPn0ZdXZ3cxJNWzs7OmDJlCubOnYv09HRUVlbi1KlTSE1NBdC18fqL1q9fDwcHB8yaNQuJiYmoqqrCxYsXMXfuXJSVlSE2NlbYdtq0aThx4gROnDiB69ev49NPP8XDhw+FflNTU2hqamLfvn2oqKhAcnIytm/f3ql4Wu9NZWUlJBIJ6urq0NTU9NJ91qxZg/r6evj5+SEvLw8VFRVIS0tDYGAgpFIpcnNzsWPHDuTn56OqqgrHjh3DvXv3OvWBAxGRIiyiExH1EEFBQXjw4AHc3NyEdQi3bt0KW1tbeHh4YOrUqTA2Nsbs2bM7PE5UVBRMTEwwZcoULFy4EGFhYdDR0RH6dXR0kJWVBVNTU/j4+GDUqFEIDAzE48ePOTOdiIiIiN6osWPHIjMzE2VlZZg8eTImTJiArVu3Cmt0A4BYLIadnR1mzpyJiRMnQiaT4eTJk3ITRdojFovh7++PjRs3wtLSEh9//DFyc3OFGdpOTk5YvXo1fH19YWRkhG+//bbd4xw9ehQffPAB/Pz8YG1tjU2bNgmztLsyXn9Rr169cPr0afj7++OLL77A8OHD4eDggKKiIhQVFWH06NHCtoGBgQgICIC/vz+cnZ0xbNgwuR8lNTIyQmxsLBITE2FtbY3IyEjs3r27U/EAwNy5c+Hp6QkXFxcYGRkhPj7+pfsMHjwY58+fh1QqhYeHB8aMGYPQ0FD07dsXampq6NOnD7KysjB9+nRYWFjgyy+/RFRUFLy8vDodHxHRi0SyFxe7IiIiIiIiIiIilXXq1CnMmTMHu3fvRnBwsLLDISJ663EmOhERERERERFRD+Ll5YVTp06hvr4edXV1yg6HiOitx5noREREREREREREREQKcCY6EREREREREREREZECLKITERERERERERERESnAIjoRERERERERERERkQIsohMRERERERERERERKcAiOhERERERERERERGRAiyiExEREREREREREREpwCI6EREREREREREREZECLKITERERERERERERESnAIjoRERERERERERERkQIsohMRERERERERERERKfB/qB7tLCgnsWMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1500x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generation of an example of a normally distributed dataset\n",
    "np.random.seed(3)\n",
    "mean = 0\n",
    "std_dev = 1\n",
    "sample_size = 1000\n",
    "dummy_data = np.random.normal(loc=mean, scale=std_dev, size=sample_size)\n",
    "\n",
    "# Shapiro-Wilk test for normality\n",
    "statistic, p_value = stats.shapiro(dummy_data)\n",
    "alpha = 0.05\n",
    "\n",
    "# Create side-by-side subplots for histogram and Q-Q plot\n",
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "# Plot the histogram (normalized)\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"Histogram of a Typical Normally Distributed Dataset\")\n",
    "sns.histplot(dummy_data, kde=True, color='skyblue', bins=30)\n",
    "plt.xlabel(\"Value\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "\n",
    "# Visualization: Q-Q plot\n",
    "plt.subplot(1, 2, 2)\n",
    "stats.probplot(dummy_data, dist=\"norm\", plot=plt)\n",
    "plt.title(\"Quantile-Quantile Plot of a Typical Normally Distributed Dataset\")\n",
    "plt.xlabel(\"Theoretical Quantiles\")\n",
    "plt.ylabel(\"Sample Quantiles\")\n",
    "\n",
    "# Display Shapiro-Wilk test result as main title\n",
    "# if p_value > alpha:\n",
    "#     plt.suptitle(f\"Shapiro-Wilk Test: p-value = {p_value:.4f}\\nData appears to be normally distributed\", y=1.02)\n",
    "# else:\n",
    "#     plt.suptitle(f\"Shapiro-Wilk Test: p-value = {p_value:.4f}\\nData does not appear to be normally distributed\", y=1.02)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d29e99ef",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 15px;\">Histogram of all departments for Annual Salaried Employees was plotted to determine if all departments for annual salaried employees are right-skewed</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "10b4c821",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AQJs2bXA6nXz44Yce+y1fvrxAk8U7HA53LTl+++23PK+AL2qNGjWiRo0azJo1y+Pj5sOHD/Ppp5+6r5YvqLyCG1jhLT093d0zmBNqznz/+en1vJDXnunSSy+lXbt2jB07lvfff58BAwYQGhpa4ONA8bXp+ezbt49BgwYREBDAo48+CkBISAjXXHMNa9asoXnz5rRq1SrXcmav4wcffOBR9/bt21m6dKl7JgWHw4ExJle7v/3225w8eTLf9RZX72ajRo2IiYlh3bp1eb7fVq1aeUzfVpB6va0nFnDfFKNatWr2FiKlnnpeRYpZt27diIuLo1WrVlStWpXt27czceJE6tSpQ0xMDIB7HsxXXnmF/v37ExAQQKNGjWjUqBH/93//x6uvvkq5cuXo0qULf//9NyNGjKBWrVruYFC5cmWGDh3KmDFjqFSpEt27d2fnzp08++yzVK9e3WO847nceOONPP/884wcOZL27duzZcsWnnvuOerVq1fs4+jKlSvHuHHj6N27NzfeeCP3338/mZmZjB8/ngMHDvDiiy8W6rj/93//x4EDB7j11luJi4vDz8+PzZs38/LLL1OuXDmefPJJABo3bsxFF13EU089hTGGypUr8+WXX7JgwYLznuNCXpuXRx55xD3l1eDBgwt1DCi+Nj3dH3/8wfLly8nOzmbv3r388ssvTJ06lfT0dN59912aNm3q3veVV17hyiuv5KqrruKBBx6gbt26ZGRk8Oeff/Lll1/y/fffexw7NTWV7t27c99993Hw4EFGjhxJUFAQw4cPB6BChQpcffXVjB8/noiICOrWrcvixYuZOnUqFStWzPd7ONvPX2GC5ZneeOMNunTpQufOnRkwYAA1atRg3759JCYmsnr1aj7++OMCH7NZs2bMnj2bDz/80H3XuJz30KFDBxYvXpzvn9f169fzySef5NreunVr95jtvOzZs8c9RvnYsWOsXbuWUaNGUbFiRe6+++4CvyeRArHvWjER75dzBfCKFSvyfL5r167nnW3gpZdeMu3atTMREREmMDDQ1K5d29x7773m77//9njd8OHDTXR0tClXrpwBzKJFi4wx1hXjY8eONQ0bNjQBAQEmIiLC9OnTx+zYscPj9dnZ2WbUqFGmZs2aJjAw0DRv3tx89dVX5uKLL/aYKeBcV4lnZmaaxx9/3NSoUcMEBQWZli1bms8//9z079/f432e7Urlsx37fO14us8//9y0adPGBAUFmdDQUNOhQwezZMmSfJ0nL/PmzTP33HOPadKkiQkPDzf+/v6mevXqpkePHmbZsmUe+27atMl07NjRhIWFmUqVKpnbb7/dJCUlGcCMHDky1/s5/er0/L4256r+f/7556w1Z2ZmGqfTaa6//vrzvr/8tEl+2jQ/deV1vpzF39/fVKlSxbRt29Y8/fTTub6/c2zbts3cc889pkaNGiYgIMBUrVrVtGvXzowaNSrXsd977z3z8MMPm6pVqxqn02muuuoqs3LlSo/j7dy509x6662mUqVKJiwszFx//fVmw4YNuX4Oz/c9eLafv7yutjfGuuL+wQcfzPXe8vq5WLdunbnjjjtMtWrVTEBAgImKijLXXnutmTJlynnry2mLnHqMsWZd6NSpkwkLC8s140n79u1Nfn6159R6tmXatGlnff9n7hsQEGDq169v7r77bvPnn3+e99wiF8phjBfcXkZEisW2bdto3LgxI0eO5Omnn7a7HMmnL7/8kptuuomvv/6aG264we5yStwPP/zANddcw8cff8xtt91mdzki4mU0bECklFi3bh0ffPAB7dq1o0KFCmzZsoVx48ZRoUIF90Uz4t02bdrE9u3beeyxx7jkkkvo0qWL3SWJiHgdhVeRUiI0NJSVK1cydepUDhw4QHh4OPHx8bzwwgtnnS5LvMvgwYNZsmQJLVu2ZMaMGSV6ZbyIiK/QsAERERER8RmaKktEREREfIbCq4iIiIj4DIVXEREREfEZpf6CrezsbHbv3k1YWJgufhARERHxQsYYMjIyiI6OPu+NdUp9eN29eze1atWyuwwREREROY8dO3ZQs2bNc+5T6sNrzu39duzYQYUKFWyuRkRERETOlJ6eTq1atfJ1W+ZSH15zhgpUqFBB4VVERETEi+VniKcu2BIRERERn6HwKiIiIiI+Q+FVRERERHyGwquIiIiI+AyFVxERERHxGbaH1127dtGnTx+qVKlCSEgIl1xyCatWrXI/b4whISGB6OhogoODiY+PZ+PGjTZWLCIiIiJ2sTW87t+/nyuuuIKAgAD+97//sWnTJl566SUqVqzo3mfcuHFMmDCBSZMmsWLFCqKioujYsSMZGRn2FS4iIiIitnAYY4xdJ3/qqadYsmQJP/30U57PG2OIjo5myJAhPPnkkwBkZmYSGRnJ2LFjuf/++897jvT0dMLDwzl48KDmeRURERHxQgXJa7b2vM6dO5dWrVpx++23U61aNVq0aMFbb73lfn7btm2kpKTQqVMn9zan00n79u1ZunRpnsfMzMwkPT3dYxERERGR0sHW8PrXX38xefJkYmJimDdvHoMGDeLhhx/m3XffBSAlJQWAyMhIj9dFRka6nzvTmDFjCA8Pdy+1atUq3jchIiIiIiXG1vCanZ1Ny5YtGT16NC1atOD+++/nvvvuY/LkyR77nXmrMGPMWW8fNnz4cA4ePOheduzYUWz1i4iIiEjJsjW8Vq9enSZNmnhsi42NJSkpCYCoqCiAXL2sqampuXpjczidTipUqOCxiIiIiEjpYGt4veKKK9iyZYvHtt9//506deoAUK9ePaKioliwYIH7+ePHj7N48WLatWtXorWKiIiIiP387Tz5o48+Srt27Rg9ejR33HEHv/76K2+++SZvvvkmYA0XGDJkCKNHjyYmJoaYmBhGjx5NSEgIvXr1srN0EREREbGBreG1devWfPbZZwwfPpznnnuOevXqMXHiRHr37u3eZ9iwYRw9epTBgwezf/9+2rRpw/z58wkLC7Oxcu+UlJREWlpaiZ83IiKC2rVrl/h5RUREpOyxdZ7XklBW5nlNSkoiNrYxR44cLfFzh4QEk5i4WQFWRERECqUgec3WnlcpOmlpaRw5cpSZM+8mNrZ6iZ03MTGZPn2mkZaWpvAqIiIixU7htZSJja1Oy5YKkSIiIlI62TrbgIiIiIhIQSi8ioiIiIjPUHgVEREREZ+h8CoiIiIiPkPhVURERER8hsKriIiIiPgMhVcRERER8RkKryIiIiLiMxReRURERMRnKLyKiIiIiM9QeBURERERn6HwKiIiIiI+Q+FVRERERHyGwquIiIiI+AyFVxERERHxGQqvIiIiIuIzFF5FRERExGcovIqIiIiIz1B4FRERERGfofAqIiIiIj5D4VVEREREfIbCq4iIiIj4DIVXEREREfEZCq8iIiIi4jMUXkVERETEZyi8ioiIiIjPUHgVEREREZ+h8CoiIiIiPkPhVURERER8hsKriIiIiPgMhVcRERER8RkKryIiIiLiMxReRURERMRnKLyKiIiIiM9QeBURERERn6HwKiIiIiI+Q+FVRERERHyGwquIiIiI+AyFVxERERHxGQqvIiIiIuIzFF5FRERExGcovIqIiIiIz1B4FRERERGfofAqIiIiIj5D4VVEREREfIbCq4iIiIj4DIVXEREREfEZCq8iIiIi4jMUXkVERETEZ9gaXhMSEnA4HB5LVFSU+3ljDAkJCURHRxMcHEx8fDwbN260sWIRERERsZPtPa9NmzYlOTnZvaxfv9793Lhx45gwYQKTJk1ixYoVREVF0bFjRzIyMmysWERERETsYnt49ff3Jyoqyr1UrVoVsHpdJ06cyDPPPEOPHj2Ii4tjxowZHDlyhFmzZtlctYiIiIjYwfbw+scffxAdHU29evXo2bMnf/31FwDbtm0jJSWFTp06ufd1Op20b9+epUuXnvV4mZmZpKeneywiIiIiUjrYGl7btGnDu+++y7x583jrrbdISUmhXbt27N27l5SUFAAiIyM9XhMZGel+Li9jxowhPDzcvdSqVatY34OIiIiIlBxbw2uXLl249dZbadasGddddx1ff/01ADNmzHDv43A4PF5jjMm17XTDhw/n4MGD7mXHjh3FU7yIiIiIlDjbhw2cLjQ0lGbNmvHHH3+4Zx04s5c1NTU1V2/s6ZxOJxUqVPBYRERERKR08KrwmpmZSWJiItWrV6devXpERUWxYMEC9/PHjx9n8eLFtGvXzsYqRURERMQu/nae/PHHH6dbt27Url2b1NRURo0aRXp6Ov3798fhcDBkyBBGjx5NTEwMMTExjB49mpCQEHr16mVn2SIiIiJiE1vD686dO7nrrrtIS0ujatWqXH755Sxfvpw6deoAMGzYMI4ePcrgwYPZv38/bdq0Yf78+YSFhdlZtoiIiIjYxNbwOnv27HM+73A4SEhIICEhoWQKEhERERGv5lVjXkVEREREzkXhVURERER8hsKriIiIiPgMhVcRERER8RkKryIiIiLiMxReRURERMRnKLyKiIiIiM9QeBURERERn6HwKiIiIiI+Q+FVRERERHyGwquIiIiI+AyFVxERERHxGQqvIiIiIuIzFF5FRERExGcovIqIiIiIz1B4FRERERGfofAqIiIiIj5D4VVEREREfIbCq4iIiIj4DIVXEREREfEZCq8iIiIi4jMUXkVERETEZyi8ioiIiIjPUHgVEREREZ+h8CoiIiIiPkPhVURERER8hsKriIiIiPgMhVcRERER8RkKryIiIiLiMxReRURERMRnKLyKiIiIiM9QeBURERERn6HwKiIiIiI+Q+FVRERERHyGwquIiIiI+AyFVxERERHxGQqvIiIiIuIzFF5FRERExGcovIqIiIiIz1B4FRERERGfofAqIiIiIj5D4VVEREREfIbCq4iIiIj4DIVXEREREfEZCq8iIiIi4jMUXkVERETEZyi8ioiIiIjPUHgVEREREZ+h8CoiIiIiPkPhVURERER8hsKriIiIiPgMrwmvY8aMweFwMGTIEPc2YwwJCQlER0cTHBxMfHw8GzdutK9IEREREbGVV4TXFStW8Oabb9K8eXOP7ePGjWPChAlMmjSJFStWEBUVRceOHcnIyLCpUhERERGxk+3h9dChQ/Tu3Zu33nqLSpUqubcbY5g4cSLPPPMMPXr0IC4ujhkzZnDkyBFmzZplY8UiIiIiYhfbw+uDDz5I165due666zy2b9u2jZSUFDp16uTe5nQ6ad++PUuXLj3r8TIzM0lPT/dYRERERKR08Lfz5LNnz2b16tWsWLEi13MpKSkAREZGemyPjIxk+/btZz3mmDFjePbZZ4u2UBERERHxCrb1vO7YsYNHHnmEmTNnEhQUdNb9HA6Hx2NjTK5tpxs+fDgHDx50Lzt27CiymkVERETEXrb1vK5atYrU1FQuvfRS97aTJ0/y448/MmnSJLZs2QJYPbDVq1d375OampqrN/Z0TqcTp9NZfIWLiIiIiG1s63nt0KED69evZ+3ate6lVatW9O7dm7Vr11K/fn2ioqJYsGCB+zXHjx9n8eLFtGvXzq6yRURERMRGtvW8hoWFERcX57EtNDSUKlWquLcPGTKE0aNHExMTQ0xMDKNHjyYkJIRevXrZUbKIiIiI2MzWC7bOZ9iwYRw9epTBgwezf/9+2rRpw/z58wkLC7O7NBERERGxgVeF1x9++MHjscPhICEhgYSEBFvqERERERHv4lXhVeyUBaQAu4B0IByoAlQDKthYl4iIiMgpCq9lXjawFljjWs9LLNAa0CwOIiIiYi+F1zLtELAIq8cVoDxQA6gMHATSgFQgEdgGtAUalHyZIiIiIi4Kr2VWGvANkAkEAFdgBdMzbwCxG1gCHMAKuseAOERERETsYNs8r2Knw8A8rOAaAfQAYsgdXAGiXc83cz1eBmwogRpFREREclPPa5lzApgPHAEqAl2BwPO8xg9o4/q6FivAOoCmxVWkiIiISJ4UXssUA/yANWTACXTm/ME1hwNo5VpfixVgKxdteSIiIiLnoWEDZcqfWBdelQM6UvApsHICbAOsILwIP7/jRVqhiIiIyLkovJYZmcAvrvWWQPVCHseBdXFXBeAwdetq/KuIiIiUHIXXMmMVcBTr5gPNL/BYgcB1QDnCw//hX/+qeqHFiYiIiOSLwmuZsBfY5Fpvh3Xh1YWqAlwOwOjRNQgI2F8ExxQRERE5N4XXUs9gzdNqgHpAzSI8dhMOHapI+fJ+1Kz5cREeV0RERCRvCq+l3i5gD1Zv6+VFfGwHO3bEcvKkoVKllZwaUysiIiJSPBReS721rq+xWLd/LVpHj1Zg0qRU16NxQFaRn0NEREQkh8JrqbYHSMb6Z252nn0Lb+TIZLKyKgDbgQ+K7TwiIiIiCq+l2lrX1wYUR69rjoMHT7JrVw/Xo+nAoWI7l4iIiJRtCq+l1j4gybV+cfGfbd/lWBeEpQPvF/v5REREpGwqVHjdtm1bUdchRW6d62s9oGIJnK8ccL9r/X3gQAmcU0RERMqaQoXXBg0acM011zBz5kyOHTtW1DXJBTsK/OVaL/5e11OuBRoBR7CGD4iIiIgUrUKF13Xr1tGiRQsee+wxoqKiuP/++/n111+LujYptD+AbKCqaykp5YAHXOsfA6nn2FdERESk4AoVXuPi4pgwYQK7du1i2rRppKSkcOWVV9K0aVMmTJjAP//8U9R1Sr4ZYLNrvbEN578C6/azmcB7NpxfRERESrMLumDL39+f7t2789FHHzF27Fi2bt3K448/Ts2aNenXrx/JyclFVafkU/ny+4GDgD9Q34YKHMBA1/pnaOyriIiIFKULCq8rV65k8ODBVK9enQkTJvD444+zdetWvv/+e3bt2sXNN99cVHVKPkVE7HStXQQE2lRFW6AhcAz4yKYaREREpDQqVHidMGECzZo1o127duzevZt3332X7du3M2rUKOrVq8cVV1zBG2+8werVq4u6XjmHSpX8qFhxj+uRHUMGcjiAAa71D7EuIBMRERG5cP6FedHkyZO55557uPvuu4mKispzn9q1azN16tQLKk4Kpk+fypQrlw1UpmQv1MpLB6AmsBP4HLjL1mpERESkdChUeP3jjz/Ou09gYCD9+/cvzOGlkPr1q+Jaa4TV+2knP6AfMBqYCdwGBNhakYiIiPi+Qg0bmDZtGh9//HGu7R9//DEzZsy44KKk4JzOVFq1CsUYB9Z4V2/QFagC7AG+s7kWERERKQ0KFV5ffPFFIiIicm2vVq0ao0ePvuCipOAqVVoBQEZGZSDY3mLcnMCdrvVZWNN4iYiIiBReocLr9u3bqVevXq7tderUISkp6YKLkoLLCa/79+c9Btk+PbBCbCKnblkrIiIiUjiFCq/VqlXjt99+y7V93bp1VKlSJY9XSPHaSnDwbo4fz+bAgUi7izlDReAG1/osG+sQERGR0qBQ4bVnz548/PDDLFq0iJMnT3Ly5Em+//57HnnkEXr27FnUNcp5LQBg3rx0Tp70xouicr4nfgB221iHiIiI+LpChddRo0bRpk0bOnToQHBwMMHBwXTq1Ilrr71WY15LnAHmAzB79n57Szmri4A2QDa6aYGIiIhciEKF18DAQD788EM2b97M+++/z5w5c9i6dSvvvPMOgYF23dWprNoCJJGdHcDcuQfsLuYccuZ5/Qw4YmchIiIi4sMKNc9rjoYNG9KwYcOiqkUKZSEABw8249Ch5TbXci7tgFrADuBbrAu5RERERAqmUOH15MmTTJ8+nYULF5Kamkp2drbH899//32RFCf5sRiAAwda2lzH+ZQDbgUmAh8D3bH/RgoiIiLiawoVXh955BGmT59O165diYuLw+FQCLHHDuAvwI/09KZ2F5MP3YDJwB/Ab8DF9pYjIiIiPqdQ4XX27Nl89NFH3HDDDeffWYrRj66vLTl5MtTWSvInHOgEfAl8gsKriIiIFFShL9hq0KBBUdciBbbY9bW9rVUUzO2ur98B3jo7goiIiHirQoXXxx57jFdeeQVjdLtP+xzg1B2rrrKxjoJq4lqygC9srkVERER8TaGGDfz8888sWrSI//3vfzRt2pSAAM+J8efMmVMkxcm5LAVOAg2AGsAee8spkNuBZ4E5QF/Az95yRERExGcUKrxWrFiR7t27F3UtUiA5QwautrWKwukIvIx1t61lwJX2liMiIiI+o1Dhddq0aUVdhxTIcazQB7413jVHEHATMBNr2iyFVxEREcmfQo15BThx4gTfffcdb7zxBhkZGQDs3r2bQ4cOFVlxcjarsO5SFQHE2lxLYeXcpGApsMvOQkRERMSHFKrndfv27Vx//fUkJSWRmZlJx44dCQsLY9y4cRw7dowpU6YUdZ3iYanr6xVcwN8fNqsNXA4sxxr7+i97yxERERGfUKjk88gjj9CqVSv2799PcHCwe3v37t1ZuHBhkRUnZ5MzZKCdrVVcuNtcX78AMu0sRERERHxEoWcbWLJkCYGBgR7b69Spw65d+gi4eCUDf2NdoX+ZvaVcsCuBSKyZEhYCuumFiIiInFuhel6zs7M5efJkru07d+4kLCzsgouSc8npdY0DfL2t/Tk19vUTOwsRERERH1Go8NqxY0cmTpzofuxwODh06BAjR47ULWOLXU54bWtrFUXnZqxe5N+A322uRURERLxdocLryy+/zOLFi2nSpAnHjh2jV69e1K1bl127djF27NiirlHcTgC/utZLS3iNAK51rX9qZyEiIiLiAwo15jU6Opq1a9fywQcfsHr1arKzs7n33nvp3bu3xwVcUtTWA4eBivjuFFl5uRVYAPwPeBgItbccERER8VqFCq8AwcHB3HPPPdxzzz1FWY+cU84UWW3w3Smy8nIpUBfrQrT/cWoWAhERERFPhQqv77777jmf79evX76OM3nyZCZPnszff/8NQNOmTfn3v/9Nly5dADDG8Oyzz/Lmm2+yf/9+2rRpw2uvvUbTpk0LU3YpsNz1tbQMGcjhwOp9fQlr6MCtrm0iIiIingoVXh955BGPx1lZWRw5coTAwEBCQkLyHV5r1qzJiy++SIMGDQCYMWMGN998M2vWrKFp06aMGzeOCRMmMH36dBo2bMioUaPo2LEjW7ZsKYOzGuwDEl3rl9tZSDHpCkwC/sC6eOtie8sRERERr1Soz57379/vsRw6dIgtW7Zw5ZVX8sEHH+T7ON26deOGG26gYcOGNGzYkBdeeIHy5cuzfPlyjDFMnDiRZ555hh49ehAXF8eMGTM4cuQIs2bNKkzZPm6F62tDrIucSpsKQCfXuqbNEhERkbwV2cDJmJgYXnzxxVy9svl18uRJZs+ezeHDh2nbti3btm0jJSWFTp06ufdxOp20b9+epUuXnvU4mZmZpKeneyylQ054bW1rFcUrZ6zrQuCAjXWIiIiItyrSq378/PzYvXt3gV6zfv16ypcvj9PpZNCgQXz22Wc0adKElJQUACIjIz32j4yMdD+XlzFjxhAeHu5eatWqVfA34pXKQnhtAjQGjgNf2lyLiIiIeKNCjXmdO3eux2NjDMnJyUyaNIkrrriiQMdq1KgRa9eu5cCBA3z66af079+fxYsXu593ODwv3DHG5Np2uuHDhzN06FD34/T09FIQYHcCu7Am829pcy3FyYHV+zoK68Kt3pSuWRVERETkQhUqvN5yyy0ejx0OB1WrVuXaa6/lpZdeKtCxAgMD3RdstWrVihUrVvDKK6/w5JNPApCSkkL16tXd+6empubqjT2d0+nE6XQWqAbvl9PrGgeE2FlICegMvIwV2H+ldF6cJiIiIoVVqG6t7Oxsj+XkyZOkpKQwa9Ysj6BZGMYYMjMzqVevHlFRUSxYsMD93PHjx1m8eDHt2rW7oHP4npy7al1maxUlIxhr5gHQHbdERETkTIW+SUFRePrpp+nSpQu1atUiIyOD2bNn88MPP/Dtt9/icDgYMmQIo0ePJiYmhpiYGEaPHk1ISAi9evWys+wSlg2sdK2XhfAK1jyvHwE/AqlANXvLEREREa9RqPB6+pjS85kwYcJZn9uzZw99+/YlOTmZ8PBwmjdvzrfffkvHjh0BGDZsGEePHmXw4MHumxTMnz+/jM3xuhXYDwRhDRsoCy7CGtu7Gqv39QF7yxERERGvUajwumbNGlavXs2JEydo1KgRAL///jt+fn60bHnqgqJzXVgFMHXq1HM+73A4SEhIICEhoTBllhI5QwZaAgF2FlLC7sAKr58B9wKB9pYjIiIiXqFQ4bVbt26EhYUxY8YMKlWqBFg3Lrj77ru56qqreOyxx4q0yLKtLEyRlZd4IBLYAyzg1DhYERERKcsKdcHWSy+9xJgxY9zBFaBSpUqMGjWqwLMNyLmcANa41staePXn1E0LZgPGxlpERETEWxQqvKanp7Nnz55c21NTU8nIyLjgoiTH78BhIAzrtrBlTXes4QKJwHqbaxERERFvUKjw2r17d+6++24++eQTdu7cyc6dO/nkk0+499576dGjR1HXWIatdn29hLI5WX9FrHlfwep9FRERkbKuUGNep0yZwuOPP06fPn3IysqyDuTvz7333sv48eOLtMCyLWfIQAtbq7DXnVi3il2Ips0SERGRQoXXkJAQXn/9dcaPH8/WrVsxxtCgQQNCQ0OLur4yLBtY61ovzbeEPZ/GWOF9DZo2S0RERC7os+jk5GSSk5Np2LAhoaGhGKOLaorONuAg1vyujW2uxW53ur7OATLtLERERERsVqjwunfvXjp06EDDhg254YYbSE5OBmDgwIGaJqvI5AwZaI7NN0LzAvFY02btx5o2S0RERMqqQoXXRx99lICAAJKSkggJCXFvv/POO/n222+LrLiyLedirbI83jWHP3C7a/1DNG2WiIhI2VWoLr358+czb948atas6bE9JiaG7du3F0lhZZtBF2ud6RbgTaxps34DLra1GhEREbFHoXpeDx8+7NHjmiMtLQ2n03nBRcku4B+svy3ibK7FW1QErneta9osERGRsqpQPa9XX3017777Ls8//zwADoeD7Oxsxo8fzzXXXFOkBfqipKQk0tLSCv36ypWXUrcuHDpUh99/35Sv1yQmJhb6fL7jTmAu8D2QAkTZW46IiIiUuEKF1/HjxxMfH8/KlSs5fvw4w4YNY+PGjezbt48lS5YUdY0+JSkpidjYxhw5crTQx5g6tQ733BPBq6/+zNNPf1Sg12ZkHCr0eb1fI6AVsBKYBQy1txwREREpcYUKr02aNOG3335j8uTJ+Pn5cfjwYXr06MGDDz5I9erVi7pGn5KWlsaRI0eZOfNuYmML1xZNmvwEHOH227vSuXPVfL3mm2/WM2LElxw7dqxQ5/Qd/bDC6+fAfVi3zhUREZGyosDhNSsri06dOvHGG2/w7LPPFkdNpUJsbHVatqxdiFceBo4A0KBBMyAwX69KTEwpxLl8UVugAfAn1k0LBthajYiIiJSsAl+wFRAQwIYNG3A4HMVRj5ATQquQ3+BatjiAvq71D4DjNtYiIiIiJa1Qsw3069ePqVOnFnUtApwKr2V7+MW5dca6acFe4BubaxEREZGSVKgxr8ePH+ftt99mwYIFtGrVitDQUI/nJ0yYUCTFlU054VVX0p+dP3AXMBF4D+gG+NlZkIiIiJSQAoXXv/76i7p167JhwwZatmwJwO+//+6xj4YTXIhjwD7XusLruXUH3gG2Y02d1dHeckRERKREFCi8xsTEkJyczKJFiwDrdrD//e9/iYyMLJbiyp49rq8VgWAb6/AFoUBPrLtuTQU6UMhRMCIiIuJDCvTb3hjPe8r/73//4/Dhw0VaUNmmIQMF0xMrxP4J/GRzLSIiIlISLqir6swwKxcq2fVV4TV/KgB3uNanAvp+FBERKe0KFF4dDkeuMa0a41pUsoCcW8pqpoH86wU4gU3AcptrERERkeJWoDGvxhgGDBiA0+kE4NixYwwaNCjXbANz5swpugrLjD1YPYflXYvkTyXgVqzbxb4JXI41F6yIiIiURgUKr/379/d43KdPnyItpmzTeNfC64d1t631wBLgSnvLERERkWJToPA6bdq04qpDdHOCCxCBNfb1PWAy0A7NPCAiIlI66Te8VzgJpLrW1fNaOP2xZh7YgjXvq4iIiJRGCq9e4R+sABsMhNtci6+qiHXxFsAbWO0pIiIipY3Cq1c4fbyrLjYqvF5Y02dtA/5ncy0iIiJSHBRevYLmdy0aYVgXbwFMwbrdroiIiJQmBbpgS4pDNqduC+u7F2slJiaW6PkiIiKoXbt2Hs/0BD7G6s2eDQwoybJERESkmCm82m4f1g0KArHmLPUtyckHcThKftq0kJBgEhM35xFgg4AHgARgGnAL1nhYERERKQ0UXm2XM2QgEl8cxXHgwFGMgUmTutO2bWyJnDMxMZk+faaRlpZ2lt7XG7BuWvA78BbwRInUJSIiIsVP4dV2pePmBA0aVKVly7yCpB3KAUOAwcAnWHPA1rGzIBERESkivtfVV6oYdHOC4nIZcAXWlFkvYbW1iIiI+DqFV1sdwLoi3g/rLlFStB7F+nBhKfCTzbWIiIhIUVB4tVVOr2s1rAArRasu0Nu1/hKQaV8pIiIiUiQUXm2Vc7GWhgwUn3ux/jjYBbxncy0iIiJyoRRebXP6eFffvljLu4VgXbwF1tRZu+wrRURERC6YwqttDgGHsW4HG2lzLaVdR6AV1rCBMejiLREREd+l8GqbnCEDVdGMZcXNATyNdSOI5cD/7C1HRERECk3h1TYaMlCyagMDXesTsGZ6EBEREV+j8GobhdeS1w9ogBVcJ9hbioiIiBSKwqstjgAHXesKryXHH/h/WMMIvgF+tLccERERKTCFV1vk9LpWBpx2FlIGxQF9XOsvoOEDIiIivkXh1Ra6Jay9BgH1gb3AWJtrERERkYJQeLVFzkwDGjJgDyfwLNZdzRYA8+0tR0RERPJN4bXEZQL7XOsKr/aJBe5xrY/hVG+4iIiIeDOF1xKXE5LCse7+JPa5F2gKZAAjgJP2liMiIiLnpfBa4jRFlvfwx7poKxRYA7xjbzkiIiJyXgqvJU7h1bvUBJ5yrb8FrLWvFBERETkvhdcSlQX841rXTAPeowtwA5CNdRvZfefeXURERGxja3gdM2YMrVu3JiwsjGrVqnHLLbewZcsWj32MMSQkJBAdHU1wcDDx8fFs3LjRpoovVCpgsD6mLm9zLeLpSaAu1r/R08AJW6sRERGRvNkaXhcvXsyDDz7I8uXLWbBgASdOnKBTp04cPnzYvc+4ceOYMGECkyZNYsWKFURFRdGxY0cyMjJsrLywTh8y4LCzEMklFBiPdRHdSmCyveWIiIhInvztPPm3337r8XjatGlUq1aNVatWcfXVV2OMYeLEiTzzzDP06NEDgBkzZhAZGcmsWbO4//77cx0zMzOTzMxM9+P09PTifRMFkjO/q4YMeKd6wL+xxsDOAJoB8R57JCUlkZaWVuKVRUREULt27RI/r4iIiLexNbye6eDBgwBUrlwZgG3btpGSkkKnTp3c+zidTtq3b8/SpUvzDK9jxozh2WefLZmCC+Qk1kfSoIu1vNl1QC9gFjASeBeoA1jBNTa2MUeOHC3xqkJCgklM3KwAKyIiZZ7XhFdjDEOHDuXKK68kLi4OgJQU62P2yMhIj30jIyPZvn17nscZPnw4Q4cOdT9OT0+nVq1axVR1QaRhBdggoKK9pch5PAxswpp5YBgwHQgmLS2NI0eOMnPm3cTGllzveWJiMn36TCMtLU3hVUREyjyvCa8PPfQQv/32Gz///HOu5xwOz/Ghxphc23I4nU6cTmex1HhhTr8lrMa7ejd/4EWgN7AVay7Y593PxsZWp2VLhUgRERE7eMVUWf/617+YO3cuixYtombNmu7tUVHWx+s5PbA5UlNTc/XGej/N7+pbIrACrB/wLfC+veWIiIgIYHN4Ncbw0EMPMWfOHL7//nvq1avn8Xy9evWIiopiwYIF7m3Hjx9n8eLFtGvXrqTLvQDZwB7Xui7W8h0tgCGu9f9SocJ6G2sRERERsHnYwIMPPsisWbP44osvCAsLc/ewhoeHExwcjMPhYMiQIYwePZqYmBhiYmIYPXo0ISEh9OrVy87SC2gfcBwIACrbXIsUTE/gT+AL6tV7i8aNg+wuSEREpEyzNbxOnmzNpRkfH++xfdq0aQwYMACAYcOGcfToUQYPHsz+/ftp06YN8+fPJywsrISrvRCnj3f1ipEakm8OrKmzkvDzW8OXX17E4cPH7S5KRESkzLI1vBpjzruPw+EgISGBhISE4i+o2Gh+V98WAIwjM7MnDRrsJSNjHVAf/SEiIiJS8vTbt9gZTl2spfDquyqxdetDZGScJCxsH7DU7oJERETKJIXXYrcPyMTqvYuwuRa5EMeO1aBXr21YHxgkAhttrkhERKTsUXgtdrtdXzXetTT46quD7N7d0PVoGbDDznJERETKHKWpYqfxrqXNnj11gRisISELsXrXRUREpCR4zR22SieNdy1OiYmJNp3PAVwFHML642QecDMQUqL1iIiIlEUKr8VK412LQ3LyQRwO6NOnjy3nz8g4hHXnreuAL4B0YAHQFf1IiYiIFC/9pi1WOUMGItEIjaJz4MBRjIFJk7rTtm1siZ33m2/WM2LElxw7dsy1JQi4HivApgI/AB2wemZFRESkOCi8Fquci7U0ZKA4NGhQlZYta5fY+RITU/LYGg50BL4BtgErgdYlVpOIiEhZo+7AYnP6eNdoOwuRYlcdawwswFrgd/tKERERKeUUXotJcHAG1nhXfzTetSxoCFziWv+JU73uIiIiUpQUXotJ+fL7XWua37XsaIV129hs4DvggK3ViIiIlEZKVcXEuoUoaLxrWeIA2gPVsHrd5wHHzvkKERERKRiF12LgcJze86rwWrb4Y13AVZ5TU2idtLUiERGR0kThtRjExQXj75+FFWSq2l2OlLgQoDPW/L4pWGNgja0ViYiIlBYKr8UgPr68a03zu5ZdlbFuYuAA/gDW2FuOiIhIKaFkVQzi48Nca5oiq2yrCVzhWl8FbLWxFhERkdJB4bXIZXP11TnhVeNdJRZo5lpfDOyxsRYRERHfp/BaxIKCdhMR4c/Jk35ovKtYLgPqYF24NR/rQi4REREpDIXXIhYWZt1d6fDhiqh5xVIOuAaogjV11jysqbRERESkoJSuilj58lsAyMiobHMl4l0CsGYgCMW6ecFCrJsZiIiISEEovBapbHfP66FDlWyuRbxPKNAJawq1XcASNIWWiIhIwSi8FikHv//+BA8+mMSRI+F2FyNeKQK41rW+GVhvYy0iIiK+R+G1SDk4diya11//B2PUtHI2dYDLXeu/AH/bV4qIiIiPUcISsUUc1jRaAIuAf2ysRURExHcovIrYwgG0A2oAJ7Cm0Dpka0UiIiK+QOFVxDblsG4hWwk4gjWFVpatFYmIiHg7hVcRWwViTaEVDOwDvkdTaImIiJydwquI7cKwptDyA5KwLuISERGRvCi8iniFakC8a30DsMm+UkRERLyYwquI16gPtHatLwV22FiLiIiId1J4FfEqFwMNse68tRBrHKyIiIjkUHgV8SoO4EqgOtbMA/Pw98+0tyQREREvovAq4nX8sKbQqgAcokGDVYSH+9lck4iIiHdQeBXxSkFAFyCYkJAM5s69CIdDPbAiIiIKryJeqwLQhZMn/bn66jDq138L625cIiIiZZfCq4hXq8Kff7bk6NFswsN/A55FNzEQEZGyTOFVxMsdPlyJ22//C2PKAf8DJmDNRiAiIlL2KLyK+ICvvz7I9u0DXI9mA1NtrEZERMQ+Cq8iPmLfvsuBx12PpgAzbaxGRETEHgqvIj6lJ3C/a30iCrAiIlLWKLyK+Jz7XAtYAfZ9+0oREREpYQqvIj7p/4B7XesvA++gi7hERKQsUHgV8UkOYBBWiAV4HXgVBVgRESntFF5FfJYDK7wOcT1+FxiNbmQgIiKlmcKriM/rA/w/rDD7GfAYcMTWikRERIqLwqtIqXALMB5wAkuwemTT7CxIRESkWCi8ipQa8cAbQCVgM9AXWG9nQSIiIkVO4VWkVIkDpgH1gX+wemA/t7MgERGRIqXwKlLq1MQKsNcAWcAoYCRw2M6iREREioTCq0ipFAqMAwZj/Zh/DfQGNthZlIiIyAVTeBUptRzAPcCbQBSwE+vGBq8Bx2ysS0REpPBsDa8//vgj3bp1Izo6GofDweeff+7xvDGGhIQEoqOjCQ4OJj4+no0bN9pTrIjPugT4AOgInMQaUnAXsNLGmkRERArH1vB6+PBhLr74YiZNmpTn8+PGjWPChAlMmjSJFStWEBUVRceOHcnIyCjhSkV8XRgwBvgPUBXYgXWHridc6yIiIr7B386Td+nShS5duuT5nDGGiRMn8swzz9CjRw8AZsyYQWRkJLNmzeL+++8vyVJFSol4oBXW0IFPgUXAT8BtQD+gmm2ViYiI5Iet4fVctm3bRkpKCp06dXJvczqdtG/fnqVLl541vGZmZpKZmel+nJ6eXuy1iviW8sCTwK3Af4GlwGysMNsNa37YWrZVl5SURFpayd9gISIigtq1a5f4eUVEpGC8NrympKQAEBkZ6bE9MjKS7du3n/V1Y8aM4dlnny3W2kRKhwZY4fUXYCqwGpjjWtphhdsrKMn/JpKSkoiNbcyRI0dL7Jw5QkKCSUzcrAArIuLlvDa85nA4HB6PjTG5tp1u+PDhDB061P04PT2dWrXs60US8X5tXMsaYDpWT2zOUgW4DuiMdQOE4h0mn5aWxpEjR5k5825iY6sX67lOl5iYTJ8+00hLS1N4FRHxcl4bXqOiogCrB7Z69VO/xFJTU3P1xp7O6XTidDqLvT6R0qeFa9mJNYTgS2Av8KFrqYLVE3sF0BLrNrTFIza2Oi1bKkSKiEhuXjvPa7169YiKimLBggXubcePH2fx4sW0a9fOxspESruawCPAt8BEoAsQghVk52KNl+2INazgOde2JMDYUKuIiJQ1tva8Hjp0iD///NP9eNu2baxdu5bKlStTu3ZthgwZwujRo4mJiSEmJobRo0cTEhJCr169bKxapKzwB650LcexhhX8jDVG9i9gu2uZ69o/HGgENHYtjbAu/PLav5FFRMQH2RpeV65cyTXXXON+nDNWtX///kyfPp1hw4Zx9OhRBg8ezP79+2nTpg3z588nLCzMrpJFyqhATo2NBTgIrAfWupZNrm2/upYcoUBDToXZxkBdvHjEkoiIeDlbf4PEx8djzNk/anQ4HCQkJJCQkFByRYlIPoRzqlcWrJ7ZrcAWYLNr+QM4jNVju+a01zqxZjo4vZf2Itd2ERGRc1P3h4gUgUAg1rXkOIE1rCAnzG5xLYeBja4lhx9Qn1q1oujevSLlymWVSNUiIuJ7FF5FpJj4Y/WoXgR0dW3LBnZxKszmBNsDwB9UrfoHc+ZchDGLsMJtTaxxsxHA2afIExGRskPhVURKUDmsMFoLa8YCsGYp2ANsJjX1G/bt+4bGjYNc2/YAq7DGztZ3LVVRkBURKbt0GbCI2MwBRAHx7NzZk9jYjWzYcDXWeNo6QADWUIP1wBfAJ8BvwBGb6hURETup51VE8pSUlERaWlqJnjMxMRGA48eDgdpYY2hPYN044S/gb6whBr9gzWpQH+vOX9VKtE4REbGPwquI5JKUlERsbGOOHDlqy/kzMg6d9sgfa3qtulizGvyFNV42FWuGg61Y4fUSrMCrIQUiIqWZwquI5JKWlsaRI0eZOfNuYmOrn/8FReSbb9YzYsSXHDt27Cx7BHJqeq00YANWeE0F5gOVsUJsfRRiRURKJ4VXETmr2NjqtGxZu8TOl5iYUoC9I4B44DKsELsJ2Ad8jzUmtg0QXcQVioiI3XTBloj4uBCsAHsXcCnWBV5pwNfAt1iBVkRESgv1vIpIKeEEWmJd5LUaSAR2uJaGQCusKbdERMSXqedVREqZYOAK4Hagnmvb78DHWMMLsm2qS0REioLCq4iUUuHAdcDNWLMRZAHLsOaKLdkpwEREpOgovIpIKVcNuAmrNzYQK7h+jhVkj9tXloiIFIrGvIpIGeAAmmDNFbsca3qtDcA24Cr7yhIRkQJTeBWRMiQEuBaIAZYAGcC31K5dk/Ll9UGUiIgv0P/WIlIG1QJuw7q1LERE7OS335pQvvwWW6sSEZHzU8+riI9ITEwsleeyjz/QFqhDZub31KsH8BKwC3gICLKxNhERORuFVxEvl5x8EIcD+vTpU+Lnzsg4VOLnLHnRJCa2Y/ny2QwaVBWYDSwFngea2luaiIjkovAq4uUOHDiKMTBpUnfato0tkXN+8816Roz4kmPHjpXI+eyWne3PAw8kcd11z9OgwWwgCbgHuA8YgP6rFBHxHvofWcRHNGhQlZYta5fIuRITU0rkPN4mPT0O+AB4EVgATMG6sOt5oKaNlYmISA5dsCUi4iEcGI0VWMsD64G7gM8AY2NdIiICCq8iInlwAF2wxr9eChwFXgAeA/bZWJeIiCi8ioicVRQwGXgECAB+BHoCP9lZlIhImaYxryIiLmefIqwpwcHDqVv3bYKDdwOP8s8/V7Fr1x1kZzsLfb6IiAhq1y6ZccwiIqWFwquIlHn5nY7M6XTwwgs1eOyxSKpW/YkDBxbQp882fv31SKHOGxISTGLiZgVYEZECUHgVkTKvoNOR/f77XurW3UBMDCxf3oSUlPokJ9enICOxEhOT6dNnGmlpaQqvIiIFoPAqIuKS/+nIagNNgCU4HFupXn0r1aunA9dgzVYgIiLFRRdsiYgUihO4FiuwBgL/AHOARDSllohI8VF4FRG5IA2AW4HqwAngZ2A+ULhxsCIicm4KryIiF6w80BVog/XfahLwKbDdzqJEREolhVcRkSLhAJoD3YHKwDGsHtifgCwb6xIRKV0UXkVEilRl4BasIAuwGfgEqzdWREQulMKriEiR88MaQtAVa0jBIWAe8B1w2Ma6RER8n8KriEixiQZuw+qFdQDbgI+BjWhGAhGRwtE8ryIixSoAqxe2Adb413+ApTRqFE7r1iG2ViYi4ovU8yoiUiKqADcBVwABhIYe5NdfY6lbdyqQYm9pIiI+ROFVRKTElMO6M9ft7N0bDUDlyr9gzRP7GhoPKyJyfgqvIiIlLpTt25tx6aWJZGQ0BDKBaVjTbH2CptYSETk7hVcREZusXn2EP/54DPgPUAvYB7zIqRB73MbqRES8k8KriIitHEA88BHwONbY2BROhdiPsHpmRUQEFF5FRLxEANAT+AIrxFYF9gDjgJuBd4GDtlUnIuItNFWWiIhXCcIKsd2BucB0rBD7X+AN4HrgDqCRTfX5lqSkJNLS0kr8vBEREdSuXbvEzytSFii8ioh4JSdwO1av6zdYwwd+x+qZ/QK42PX8Na595UxJSUnExjbmyJGjJX7ukJBgEhM3K8CKFAOFVxERrxYI3IIVYtdhhdiFrvV1WLefvRarR/ZSrFvTCkBaWhpHjhxl5sy7iY2tXmLnTUxMpk+faaSlpSm8ihQDhVcREZ/gAC5xLWnAHKwe2D1YwwvmAhFAJ9fSBF3WYImNrU7LlgqRIqWFwquIiM+JAP4PGAisAb7F6o1NA2a5lspAW6AdcDkQbkulIiJFTeFVRMRnlcMaKnApMAxYihVkl2LNGfu1aykHxAGtgeZAM6CCDfWKiFw4hVcRkVIhAGjvWrKwxsMuwQqyW4HfXEuOelghthkQA9TFGj8rIuLdFF5FRGyUmJhYTEcuB1wFXEVAwF4qVNhE+fJ/Ehq6laCgVGCba5l72msisUJtPaAOUM21RAIVscbdFrds4Ahw+LSvh8/YduaSdcZyAjhBTMxhFiyIoUGDlcBGV/3lsH71+WMF/px152lL0GlfA4r9HYucj6Z886TwKiJig+Tkgzgc0KdPnxI/d61a5Vm5cgbVqiVjhbptwD9YF3/tAZbn8apArBsnhGP10Iae9jUEa5YDP6xwWI5Tsx4cxwqTxzkVLo9yKpSeuRwpsvcZFgbXXVcB2HsBRwng1Hs8cwnF8/2LFD1N+ZabwquIiA0OHDiKMTBpUnfato0tsfPmTOO0c2ddqlXrcdozGcBfWEF2K7ALK9CmYoW/465tu0qoUj+scHx6UMxrPQQrWAectvgDfmzb9hdPPz2c0aNvpl69KoABTmKF6SzXek6gPo51G95jrq+Zpz1/wLWcSzA5YbZmTcOwYZFUqvSL65yRWD3YgRfUIlI2acq33HwivL7++uuMHz+e5ORkmjZtysSJE7nqqqvsLktE5II1aFDVS6ZxCsO68cHFeTyXxakgm47VQ3rojK/ZruUkp0Ii5A6WAZwKejnhNDSPx4Fc6DCF/ftXM3v2fp54Ipp69QraxgbrfZ85ROFwHusnsXqTjwJpVKsGY8fWBKa6lhyVODUUIwrPYRk560GFeKdSFpya8i3ne/P0TzPOXD/9cc5QmpOnfT15xuNs13FPLZdckk3btnEcOFBCb7AAvD68fvjhhwwZMoTXX3+dK664gjfeeIMuXbqwadMmr/tLQESkdAoAol1LWeHACtCBWON9z8Zg9dLmhPjDpKQkM2/eCnr0aEdY2FGsoRiZwH7XsuUcxwvBCrnhrq8VXUvOegU8w37OejAlMyZZCi7neySnV/8onuO5zxzf7bm9UaNUNm1qwkUX/YAVMrNKpOpy5SAw0Du/p7w+vE6YMIF7772XgQMHAjBx4kTmzZvH5MmTGTNmjM3ViYhI2ebA6i0Nwpp/F3bvLs+AAR/TrNmntGzZEiu8pGOF2NSzfN2DFW5yenULOjyjHKd6rZ2cCt45ixPrj5Azn/Pn1Bjlcmesn77tzOfKkXdYdpzx9WzbCvOanF7B7PM8LuwCORf7neqVzM9yEqunMyecnj70JGe98EJDITY2OI/j5PyBFZDH1zPXcy5M9DtjydmW8+95alm/PpmOHf/LN99cUPnFwqvD6/Hjx1m1ahVPPfWUx/ZOnTqxdOnSPF+TmZlJZuapf+CDBw8CkJ6eXnyFnubQoUMArFq1nUOHLuwbtiASE3cDsH79boKDw0r1ecvSe7XrvGXpvdp1Xrve65YtKQCsWrXK/f9VSSlXrhzZ2dnn37GIbNli9XCW9P/H52/jqq6l6WnbDH5+x/D3P4S//yH8/A7h73/Y9fgw/v6H8fPLwM/vKH5+RylXLhM/v2P4+R3D4cgZpnHQtYi3ys72Izs7gOzsIE6edHLyZDDZ2YGur0FkZ1vbTp50uvfZsWMvL7zwCkOHXk/NmtXIzvbn5Ek/jDnbHxDnrID89t5u2bKHPXtOcOjQoRLJUDnnMMacZ09rJ6+1a9cuA5glS5Z4bH/hhRdMw4YN83zNyJEjL/RPLy1atGjRokWLFi02LDt27DhvPvTqntccDofnXxbGmFzbcgwfPpyhQ4e6H2dnZ7Nv3z6qVKly1teIp/T0dGrVqsWOHTuoUEF34SkstWPRUDsWDbVj0VA7Fh21ZdEoLe1ojCEjI4Po6POPrffq8BoREYGfnx8pKSke21NTU4mMjMzzNU6nE6fT6bGtYsWKxVViqVahQgWf/kHwFmrHoqF2LBpqx6Khdiw6asuiURraMTw8PF/7lSvmOi5IYGAgl156KQsWLPDYvmDBAtq1a2dTVSIiIiJiF6/ueQUYOnQoffv2pVWrVrRt25Y333yTpKQkBg0aZHdpIiIiIlLCvD683nnnnezdu5fnnnuO5ORk4uLi+Oabb6hTp47dpZVaTqeTkSNH5hp+IQWjdiwaaseioXYsGmrHoqO2LBplsR0dxuRnTgIREREREft59ZhXEREREZHTKbyKiIiIiM9QeBURERERn6HwKiIiIiI+Q+G1lBkzZgwOh4MhQ4a4txljSEhIIDo6muDgYOLj49m4caPH6zIzM/nXv/5FREQEoaGh3HTTTezcudNjn/3799O3b1/Cw8MJDw+nb9++HDhwwGOfpKQkunXrRmhoKBERETz88MMcP368uN5ukdu1axd9+vShSpUqhISEcMkll7Bq1Sr382rL8ztx4gT/7//9P+rVq0dwcDD169fnueee87invdoxtx9//JFu3boRHR2Nw+Hg888/93je29ps/fr1tG/fnuDgYGrUqMFzzz2Xv3uSF7NztWNWVhZPPvkkzZo1IzQ0lOjoaPr168fu3bs9jqF2tJzve/J0999/Pw6Hg4kTJ3psV1vmrx0TExO56aabCA8PJywsjMsvv5ykpCT382rHM5z3BrLiM3799VdTt25d07x5c/PII4+4t7/44osmLCzMfPrpp2b9+vXmzjvvNNWrVzfp6enufQYNGmRq1KhhFixYYFavXm2uueYac/HFF5sTJ06497n++utNXFycWbp0qVm6dKmJi4szN954o/v5EydOmLi4OHPNNdeY1atXmwULFpjo6Gjz0EMPlcj7v1D79u0zderUMQMGDDC//PKL2bZtm/nuu+/Mn3/+6d5HbXl+o0aNMlWqVDFfffWV2bZtm/n4449N+fLlzcSJE937qB1z++abb8wzzzxjPv30UwOYzz77zON5b2qzgwcPmsjISNOzZ0+zfv168+mnn5qwsDDzn//8p/gaKJ/O1Y4HDhww1113nfnwww/N5s2bzbJly0ybNm3MpZde6nEMtaPlfN+TOT777DNz8cUXm+joaPPyyy97PKe2PH87/vnnn6Zy5crmiSeeMKtXrzZbt241X331ldmzZ497H7WjJ4XXUiIjI8PExMSYBQsWmPbt27vDa3Z2tomKijIvvviie99jx46Z8PBwM2XKFGOM9R96QECAmT17tnufXbt2mXLlyplvv/3WGGPMpk2bDGCWL1/u3mfZsmUGMJs3bzbGWD+g5cqVM7t27XLv88EHHxin02kOHjxYbO+9qDz55JPmyiuvPOvzasv86dq1q7nnnns8tvXo0cP06dPHGKN2zI8zf8F5W5u9/vrrJjw83Bw7dsy9z5gxY0x0dLTJzs4uwpa4MOcKXDl+/fVXA5jt27cbY9SOZ3O2tty5c6epUaOG2bBhg6lTp45HeFVb5pZXO955553u/x/zonbMTcMGSokHH3yQrl27ct1113ls37ZtGykpKXTq1Mm9zel00r59e5YuXQrAqlWryMrK8tgnOjqauLg49z7Lli0jPDycNm3auPe5/PLLCQ8P99gnLi6O6Oho9z6dO3cmMzPT46N3bzV37lxatWrF7bffTrVq1WjRogVvvfWW+3m1Zf5ceeWVLFy4kN9//x2AdevW8fPPP3PDDTcAasfC8LY2W7ZsGe3bt/eYFL1z587s3r2bv//+u+gboBgdPHgQh8NBxYoVAbVjQWRnZ9O3b1+eeOIJmjZtmut5teX5ZWdn8/XXX9OwYUM6d+5MtWrVaNOmjcfQArVjbgqvpcDs2bNZvXo1Y8aMyfVcSkoKAJGRkR7bIyMj3c+lpKQQGBhIpUqVzrlPtWrVch2/WrVqHvuceZ5KlSoRGBjo3seb/fXXX0yePJmYmBjmzZvHoEGDePjhh3n33XcBtWV+Pfnkk9x11100btyYgIAAWrRowZAhQ7jrrrsAtWNheFub5bVPzmNfatdjx47x1FNP0atXLypUqACoHQti7Nix+Pv78/DDD+f5vNry/FJTUzl06BAvvvgi119/PfPnz6d79+706NGDxYsXA2rHvHj97WHl3Hbs2MEjjzzC/PnzCQoKOut+DofD47ExJte2M525T177F2Yfb5WdnU2rVq0YPXo0AC1atGDjxo1MnjyZfv36ufdTW57bhx9+yMyZM5k1axZNmzZl7dq1DBkyhOjoaPr37+/eT+1YcN7UZnnVcrbXeqOsrCx69uxJdnY2r7/++nn3Vzt6WrVqFa+88gqrV68ucK1qy1NyLmS9+eabefTRRwG45JJLWLp0KVOmTKF9+/ZnfW1Zbkf1vPq4VatWkZqayqWXXoq/vz/+/v4sXryY//73v/j7+5/1L6bU1FT3c1FRURw/fpz9+/efc589e/bkOv8///zjsc+Z59m/fz9ZWVm5/pLzRtWrV6dJkyYe22JjY91XfEZFRQFqy/N54okneOqpp+jZsyfNmjWjb9++PProo+5PBtSOBedtbZbXPqmpqUDu3mFvlJWVxR133MG2bdtYsGCBu9cV1I759dNPP5Gamkrt2rXdv3u2b9/OY489Rt26dQG1ZX5ERETg7+9/3t89akdPCq8+rkOHDqxfv561a9e6l1atWtG7d2/Wrl1L/fr1iYqKYsGCBe7XHD9+nMWLF9OuXTsALr30UgICAjz2SU5OZsOGDe592rZty8GDB/n111/d+/zyyy8cPHjQY58NGzaQnJzs3mf+/Pk4nU4uvfTSYm2HonDFFVewZcsWj22///47derUAaBevXpqy3w4cuQI5cp5/tfi5+fn7mFQOxact7VZ27Zt+fHHHz2m2Jk/fz7R0dHu4OKtcoLrH3/8wXfffUeVKlU8nlc75k/fvn357bffPH73REdH88QTTzBv3jxAbZkfgYGBtG7d+py/e9SOeSiRy8KkRJ0+24Ax1hQ74eHhZs6cOWb9+vXmrrvuynOKnZo1a5rvvvvOrF692lx77bV5TsPRvHlzs2zZMrNs2TLTrFmzPKfh6NChg1m9erX57rvvTM2aNb1yWqK8/Prrr8bf39+88MIL5o8//jDvv/++CQkJMTNnznTvo7Y8v/79+5saNWq4p8qaM2eOiYiIMMOGDXPvo3bMLSMjw6xZs8asWbPGAGbChAlmzZo17qvgvanNDhw4YCIjI81dd91l1q9fb+bMmWMqVKjgFdPpnKsds7KyzE033WRq1qxp1q5da5KTk91LZmam+xhqR8v5vifPdOZsA8aoLY05fzvOmTPHBAQEmDfffNP88ccf5tVXXzV+fn7mp59+ch9D7ehJ4bUUOjO8Zmdnm5EjR5qoqCjjdDrN1VdfbdavX+/xmqNHj5qHHnrIVK5c2QQHB5sbb7zRJCUleeyzd+9e07t3bxMWFmbCwsJM7969zf79+z322b59u+natasJDg42lStXNg899JDHlBve7ssvvzRxcXHG6XSaxo0bmzfffNPjebXl+aWnp5tHHnnE1K5d2wQFBZn69eubZ555xiMcqB1zW7RokQFyLf379zfGeF+b/fbbb+aqq64yTqfTREVFmYSEBK+YSudc7bht27Y8nwPMokWL3MdQO1rO9z15przCq9oyf+04depU06BBAxMUFGQuvvhi8/nnn3scQ+3oyWGMt902QUREREQkbxrzKiIiIiI+Q+FVRERERHyGwquIiIiI+AyFVxERERHxGQqvIiIiIuIzFF5FRERExGcovIqIiIiIz1B4FRERERGfofAqIuIDpk+fTsWKFe0uQ0TEdgqvIiIlIDU1lfvvv5/atWvjdDqJioqic+fOLFu2zO7SRER8ir/dBYiIlAW33norWVlZzJgxg/r167Nnzx4WLlzIvn37SqyG48ePExgYWGLnExEpDup5FREpZgcOHODnn39m7NixXHPNNdSpU4fLLruM4cOH07VrVwAmTJhAs2bNCA0NpVatWgwePJhDhw6d9Zhbt27l5ptvJjIykvLly9O6dWu+++47j33q1q3LqFGjGDBgAOHh4dx3331ce+21PPTQQx777d27F6fTyffff1/0b15EpIgpvIqIFLPy5ctTvnx5Pv/8czIzM/Pcp1y5cvz3v/9lw4YNzJgxg++//55hw4ad9ZiHDh3ihhtu4LvvvmPNmjV07tyZbt26kZSU5LHf+PHjiYuLY9WqVYwYMYKBAwcya9Ysjzref/99oqOjueaaa4rmDYuIFCOHMcbYXYSISGn36aefct9993H06FFatmxJ+/bt6dmzJ82bN89z/48//pgHHniAtLQ0wLpga8iQIRw4cOCs52jatCkPPPCAu2e1bt26tGjRgs8++8y9T2ZmJtHR0UyePJk77rgDgBYtWnDLLbcwcuTIInq3IiLFRz2vIiIl4NZbb2X37t3MnTuXzp0788MPP9CyZUumT58OwKJFi+jYsSM1atQgLCyMfv36sXfvXg4fPpzn8Q4fPsywYcNo0qQJFStWpHz58mzevDlXz2urVq08HjudTvr06cM777wDwNq1a1m3bh0DBgwo8vcsIlIcFF5FREpIUFAQHTt25N///jdLly5lwIABjBw5ku3bt3PDDTcQFxfHp59+yqpVq3jttdcAyMrKyvNYTzzxBJ9++ikvvPACP/30E2vXrqVZs2YcP37cY7/Q0NBcrx04cCALFixg586dvPPOO3To0IE6deoU/RsWESkGmm1ARMQmTZo04fPPP2flypWcOHGCl156iXLlrD6Fjz766Jyv/emnnxgwYADdu3cHrDGwf//9d77O26xZM1q1asVbb73FrFmzePXVVy/ofYiIlCSFVxGRYrZ3715uv/127rnnHpo3b05YWBgrV65k3Lhx3HzzzVx00UWcOHGCV199lW7durFkyRKmTJlyzmM2aNCAOXPm0K1bNxwOByNGjCA7OzvfNQ0cOJCHHnqIkJAQdwAWEfEFGjYgIlLMypcvT5s2bXj55Ze5+uqriYuLY8SIEdx3331MmjSJSy65hAkTJjB27Fji4uJ4//33GTNmzDmP+fLLL1OpUiXatWtHt27d6Ny5My1btsx3TXfddRf+/v706tWLoKCgC32LIiIlRrMNiIiUQTt27KBu3bqsWLGiQKFXRMRuCq8iImVIVlYWycnJPPXUU2zfvp0lS5bYXZKISIFo2ICISBmyZMkS6tSpw6pVq847rlZExBup51VEREREfIZ6XkVERETEZyi8ioiIiIjPUHgVEREREZ+h8CoiIiIiPkPhVURERER8hsKriIiIiPgMhVcRERER8RkKryIiIiLiM/4/xGR9DAI/qjoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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E/vrXv+LVV1/FqVOnAACnTp3CiRMnsGbNGkycONHW9ty5c9c9niOPrW5Ua8aMGfjXv/6F//znP9i8eTMCAwNtI3e15UifOmu07eDBg0hPT7fNm2zSpAm0Wi0mTJiAp556qsrHtGrVyu52enp6pTbp6em255WXl4dvv/0W8+bNw4svvmhrYzQaq10CzVnP70ZU/HzOnj0bY8aMqbJN+/bt662emtx+++1o3749Xn31VQwZMgSRkZHVtg0NDcXFixervK9if3V/NFfw8fHB7NmzsX79etvPINHN4rQBojoQGBiIBx54AE899RSys7Nti9xXN7oyaNAgAKi0VM2hQ4eQkJCAwYMHAwB69eoFg8GA9evX27Xbv39/rRaLF0LYaqnw888/V/kJeGdr3749mjdvjnXr1tm93VxUVISvvvrK9mn52qoquAHW8Jafn28bGawINdc+/xsZ9byZx17r1ltvRd++ffHmm2/i008/xaRJk+Dj41Pr4wB116fXk52djSeeeAJ6vR5//etfAQDe3t4YOHAgjh07hi5duqBHjx6VtmtHHT/77DO7upOSkrB3717bSgpCCEgpK/X7Rx99VKsPBdXV6Gb79u3Rtm1bnDhxosrn26NHD7vl22pTb12MxP7tb3/DqFGj8Mwzz9TY7s4778SpU6fw66+/Vrrviy++gK+vL3r16mXbV93PYMW7OdV9EJGotjjySuQko0aNQlxcHHr06IFmzZohKSkJS5cuRVRUFNq2bQsAtnUw33nnHUycOBF6vR7t27dH+/bt8X//93949913odFoMHz4cJw/fx5z585FZGSkLRgEBQVh1qxZWLhwIZo0aYLRo0fjwoULeOWVVxAeHn7Dy9HcfffdeO211zBv3jwMGDAAp0+fxquvvopWrVrVeh5dbWk0GixatAgPP/ww7r77bjz++OMwGo1YvHgxcnNzHb4Sz//93/8hNzcX999/P+Li4qDVavHbb7/h7bffhkajwQsvvAAA6NChA9q0aYMXX3wRUkoEBQXhm2++wbZt2657jpt5bFVmzJhhW/LqZt5Oras+vdrZs2exf/9+KIqCrKwsHDhwACtXrkR+fj7Wrl2LTp062dq+88476NevH+644w48+eSTiI6ORkFBAc6dO4dvvvkGO3futDt2RkYGRo8ejcceewx5eXmYN28ePD09MXv2bACAv78/+vfvj8WLFyM4OBjR0dHYs2cPVq5cicDAwBt+DtX9/DkSLK/1wQcfYPjw4Rg2bBgmTZqE5s2bIzs7GwkJCTh69Ci+/PLLWh+zc+fO+Pzzz7F+/XrbVeMqnsPgwYOxZ88eh35ex48fb7eyQXVmzJiBtWvXIj4+Hi+99BI6d+6MnJwcrF+/Hv/+97+xZMkSu77r1KkTBg8ejOHDh6NNmzYoLS3FgQMH8NZbbyE0NNRpqxoQMbwSOcnAgQPx1Vdf4aOPPkJ+fj7CwsIwZMgQzJ071zYvLD4+HrNnz8bHH3+MDz/8EIqiYNeuXba38Nu0aYOVK1fivffeQ0BAAO666y4sXLjQbqTq9ddfh4+PD1asWIHVq1ejQ4cOWL58OebMmXPDv8jnzJmD4uJirFy5EosWLULHjh2xYsUKbNy4scqlspxt3Lhx8PHxwcKFCzF27FhotVr07t0bu3btQt++fR065tNPP43169fjww8/xMWLF1FUVIRmzZqhT58+WLt2rW2Bfb1ej2+++QYzZszA448/Dp1OhzvvvBPbt29Hy5YtazzHzTy2Kvfddx8MBgMGDhxo+wPHUXXRp1d76aWXAFinxwQEBKBdu3aYPHky/u///s/2gbUKHTt2xNGjR/Haa6/hb3/7GzIyMhAYGIi2bdtixIgRlY69YMECHDp0CI8++ijy8/Nx22234fPPP7dbf3bdunWYMWMGnn/+eZjNZtx+++3Ytm1bpQ8N1qSmn7+bNXDgQBw8eBCvv/46Zs6ciZycHDRt2hQdO3as9AHLG/XKK68gLS0Njz32GAoKChAVFWV7F8disdT5UlRBQUHYv38/XnnlFbz99ttITU2Fl5cXunbtii+//BIPPPCAXfs33ngDW7Zsweuvv4709HSYzWZERkZi3LhxmDNnjlPnWVPjJqR0gcvOENFNSUxMRIcOHTBv3jxbyCDX98033+Cee+7Bd999V2Woa+h2796NgQMHVhmEiIiqw5FXIjdz4sQJfPbZZ+jbty/8/f1x+vRpLFq0CP7+/nxbzk38+uuvSEpKwjPPPINbbrkFw4cPV7skIiK3wfBK5GZ8fHxw+PBhrFy5Erm5uQgICEB8fDxef/31637yl1zDtGnT8NNPP6F79+74+OOP6/WT8URE7o7TBoiIiIjIbXCpLCIiIiJyGwyvREREROQ2GF6JiIiIyG00+A9sKYqC1NRU+Pn58UMRRERERC5ISomCggJERERc94I7DT68pqam1njtZiIiIiJyDSkpKWjRokWNbRp8eK24dF1KSgr8/f1VroaIiIiIrpWfn4/IyMgbulxzgw+vFVMF/P39GV6JiIiIXNiNTPHkB7aIiIiIyG0wvBIRERGR22B4JSIiIiK3wfBKRERERG6D4ZWIiIiI3AbDKxERERG5DYZXIiIiInIbDK9ERERE5DYYXomIiIjIbTC8EhEREZHbYHglIiIiIrehanhdvnw5unTpAn9/f/j7+6NPnz743//+Z7tfSon58+cjIiICXl5eiI+Pxy+//KJixURERESkJlXDa4sWLfDGG2/g8OHDOHz4MAYNGoR7773XFlAXLVqEJUuWYNmyZTh06BDCwsIwZMgQFBQUqFk2EREREalESCml2kVcLSgoCIsXL8bkyZMRERGBmTNn4oUXXgAAGI1GhIaG4s0338Tjjz9+Q8fLz89HQEAA8vLy4O/vX5elExEREZEDapPXdPVU03VZLBZ8+eWXKCoqQp8+fZCYmIj09HQMHTrU1sZgMGDAgAHYu3dvteHVaDTCaDTabufn59d57a4oOTkZmZmZapeB4OBgtGzZUu0yiIiIqIFQPbyePHkSffr0QWlpKXx9fbFx40Z07NgRe/fuBQCEhobatQ8NDUVSUlK1x1u4cCFeeeWVOq3Z1SUnJyM2NhbFxcVqlwJvb28kJCQwwBIREZFTqB5e27dvj+PHjyM3NxdfffUVJk6ciD179tjuF0LYtZdSVtp3tdmzZ2PWrFm22/n5+YiMjHR+4S4sMzMTxcXFWPPSEsRGxahWR0LSOUxaMAuZmZkMr0REROQUqodXDw8PxMRYA1aPHj1w6NAhvPPOO7Z5runp6QgPD7e1z8jIqDQaezWDwQCDwVC3RbuJ2KgYdGsXp3YZRERERE7jcuu8SilhNBrRqlUrhIWFYdu2bbb7ysrKsGfPHvTt21fFComIiIhILaqOvL700ksYPnw4IiMjUVBQgM8//xy7d+/G5s2bIYTAzJkzsWDBArRt2xZt27bFggUL4O3tjXHjxqlZNhERERGpRNXweunSJUyYMAFpaWkICAhAly5dsHnzZgwZMgQA8Pzzz6OkpATTpk1DTk4OevXqha1bt8LPz0/NsomIiIhIJaqG15UrV9Z4vxAC8+fPx/z58+unICIiIiJyaS4355WIiIiIqDoMr0RERETkNhheiYiIiMhtMLwSERERkdtgeCUiIiIit8HwSkRERERug+GViIiIiNwGwysRERERuQ2GVyIiIiJyGwyvREREROQ2GF6JiIiIyG0wvBIRERGR22B4JSIiIiK3wfBKRERERG6D4ZWIiIiI3AbDKxERERG5DYZXIiIiInIbDK9ERERE5DYYXomIiIjIbTC8EhEREZHbYHglIiIiIrfB8EpEREREboPhlYiIiIjcBsMrEREREbkNhlciIiIichsMr0RERETkNhheiYiIiMhtMLwSERERkdtgeCUiIiIit8HwSkRERERug+GViIiIiNwGwysRERERuQ2GVyIiIiJyGwyvREREROQ2GF6JiIiIyG0wvBIRERGR22B4JSIiIiK3wfBKRERERG6D4ZWIiIiI3AbDKxERERG5DYZXIiIiInIbDK9ERERE5DYYXomIiIjIbTC8EhEREZHbYHglIiIiIrfB8EpEREREboPhlYiIiIjcBsMrEREREbkNhlciIiIichsMr0RERETkNlQNrwsXLkTPnj3h5+eHkJAQ3HfffTh9+rRdm0mTJkEIYbf17t1bpYqJiIiISE2qhtc9e/bgqaeewv79+7Ft2zaYzWYMHToURUVFdu3uuusupKWl2bb//ve/KlVMRERERGrSqXnyzZs3291evXo1QkJCcOTIEfTv39+232AwICwsrL7LIyIiIiIX41JzXvPy8gAAQUFBdvt3796NkJAQtGvXDo899hgyMjKqPYbRaER+fr7dRkREREQNg8uEVyklZs2ahX79+iEuLs62f/jw4fj000+xc+dOvPXWWzh06BAGDRoEo9FY5XEWLlyIgIAA2xYZGVlfT4GIiIiI6piq0wauNn36dPz888/48ccf7faPHTvW9n1cXBx69OiBqKgofPfddxgzZkyl48yePRuzZs2y3c7Pz2eAJSIiImogXCK8Pv3009i0aRO+//57tGjRosa24eHhiIqKwtmzZ6u832AwwGAw1EWZRERERKQyVcOrlBJPP/00Nm7ciN27d6NVq1bXfUxWVhZSUlIQHh5eDxUSERERkStRdc7rU089hU8++QTr1q2Dn58f0tPTkZ6ejpKSEgBAYWEhnn32Wezbtw/nz5/H7t27MWrUKAQHB2P06NFqlk5EREREKlB15HX58uUAgPj4eLv9q1evxqRJk6DVanHy5EmsXbsWubm5CA8Px8CBA7F+/Xr4+fmpUDERERERqUn1aQM18fLywpYtW+qpGiIiIiJydS6zVBYRERER0fUwvBIRERGR22B4JSIiIiK3wfBKRERERG7DJS5S0NAkJycjMzNTtfMnJCSodm4iIiKiusTw6mTJycmIjY1FcXGx2qWgsLBQ7RKIiIiInIrh1ckyMzNRXFyMNS8tQWxUjCo1/O/AbsxftQSlpaWqnJ+IiIiorjC81pHYqBh0axenyrl/S/5dlfMSERER1TV+YIuIiIiI3AbDKxERERG5DYZXIiIiInIbDK9ERERE5DYYXomIiIjIbTC8EhEREZHbYHglIiIiIrfB8EpEREREboPhlYiIiIjcBsMrEREREbkNhlciIiIichsMr0RERETkNhheiYiIiMhtMLwSERERkdtgeCUiIiIit8HwSkRERERug+GViIiIiNwGwysRERERuQ2GVyIiIiJyGwyvREREROQ2GF6JiIiIyG0wvBIRERGR22B4JSIiIiK3wfBKRERERG6D4ZWIiIiI3AbDKxERERG5DYZXIiIiInIbOrULINciyyyQOSVAqdm6KRLw1kP4eAB+HhAGvmSIiIhIPUwiBACQBUbIiwWQl4sAWcX9ACAA0cwHooU/hK9HfZdIRERExPDa2EmLAvl7DmR64ZWdvh7WcOqpAwSAYhNkYRlQZILMKILMKAKCvaFpGwSh16pWOxERETU+DK+NmCw2QUm4DBSZAACimbd1VNXPUHX7AiPkhXzIy8VAZjGUfCM07ZtCNPGqz7KJiIioEWN4baRkbimUXzIAiwT0Gmg6BF83hAo/A0RsM8jIMmvoLTFDOZkBER0IEekPIUQ9VU9ERESNFVcbaIRkgfFKcA0wQNM9vFajp8LXw/qYMF/r8c7nWjdZxWRZIiIiIidieG1kZLEJyqmrgmvnUIdWEBBaDTTtmkK0bmI9bko+5B85DLBERERUpxheGxFZZoHy8yXApAC+HtB0CoHQ3Nxb/ZoW/hAxQdbjXyyAPJ/rhEqJiIiIqsbw2khIKaGczgTKLICXDprOIRA65/zzayL8INqWB9iUfChXr1xARERE5EQMr42ETC0AckoBAWg6NnP6EleacD+ISH/ruc5mQeaVOvX4RERERADDa6MgC8sg/8gBAIg2QdarZdUBER0IBHsDElB+uQy9masPEBERkXMxvDZwUpFQfsu0XiIryAsi3LfOziWEgKZ9U8DXAzAraJnnBa2GLzEiIiJyHiaLBk6mFgDFJutaru2a1vlarEKrgaZjM0Ar4GPS4sX+E+r0fERERNS4MLw2YB5SC5mUCwAQrZpAeNTPpVyFpw6ibVMAwOwBE+CVba6X8xIREVHDx/DagLVRmljXc/XzgAj1qddza0J8kO1pglajRfNjJZClDLBERER081QNrwsXLkTPnj3h5+eHkJAQ3HfffTh9+rRdGykl5s+fj4iICHh5eSE+Ph6//PKLShW7j57NYxEu/QAAmjZBqly6NdW/FL9nXYRHiYR55x/1fn4iIiJqeFQNr3v27MFTTz2F/fv3Y9u2bTCbzRg6dCiKiopsbRYtWoQlS5Zg2bJlOHToEMLCwjBkyBAUFBSoWLnrWzz8KQCACPWB8DeoUoOiAZ7ctBgAYDmcCiU5V5U6iIiIqOFQNbxu3rwZkyZNQqdOndC1a1esXr0aycnJOHLkCADrqOvSpUsxZ84cjBkzBnFxcfj4449RXFyMdevWqVm6SwsTfugV2QkWKNblq1T0w/kTyInUAwBM356BNCuq1kNERETuzaXmvObl5QEAgoKsV2tKTExEeno6hg4damtjMBgwYMAA7N27t8pjGI1G5Ofn222NiZQSnbRhAICLogDCoFO5IuBSrCfgo4fMLIb5xyS1yyEiIiI35jLhVUqJWbNmoV+/foiLiwMApKenAwBCQ0Pt2oaGhtruu9bChQsREBBg2yIjI+u2cFeTU4qmGh8Ul5UiSZOrdjUAAMVDQH9XWwCA5cdkKFnFKldERERE7splwuv06dPx888/47PPPqt037UfNpJSVvsBpNmzZyMvL8+2paSk1Em9rkhKCSXZOnr94eFNMAnXeYte07EZNG2CAEXCvPV3tcshIiIiN+US4fXpp5/Gpk2bsGvXLrRo0cK2PyzM+vb3taOsGRkZlUZjKxgMBvj7+9ttjUZOKZBvhFkqePunz9Wuxo4QArphbQCNgHI2C5ZzWWqXRERERG5I1fAqpcT06dOxYcMG7Ny5E61atbK7v1WrVggLC8O2bdts+8rKyrBnzx707du3vst1eUqKddT1DyUTlwpzVK6mMk2wD7Q9mwMAzFt/h7S4zsgwERERuQdVw+tTTz2FTz75BOvWrYOfnx/S09ORnp6OkpISANbRupkzZ2LBggXYuHEjTp06hUmTJsHb2xvjxo1Ts3SXIwvLgDwjAOC05bLK1VRPNyAK8LZ+eMty6KLa5RAREZGbUfWj6MuXLwcAxMfH2+1fvXo1Jk2aBAB4/vnnUVJSgmnTpiEnJwe9evXC1q1b4efnV8/VujZ50bqqgmjmjZKLJpWrqZ7w1EM3qBXM356B+fskaLuGQXjp1S6LiIiI3ISq4VVKed02QgjMnz8f8+fPr/uC3JQss0BmWC/sIJr7Ay4+oKm9JRyWgxchM4pg/jEZ+iFt1C6JiIiI3IRLfGCLbo5MKwAkAD8P1a6mVRtCI6Ab3BoAYDl4ATKvVOWKiIiIyF0wvLo5qUjItEIA5aOubkITEwQRFQBYJMx7zqtdDhEREbkJhlc3Jy8XAWUWwEMLEeytdjk3TAgB/Z3W6QKWE+lQMgpVroiIiIjcAcOrm7ONuob7QmiqvnCDq9I094cmthkgAfPORLXLISIiIjfA8OrGZLEJyLcujyXCfFWuxjG6Qa0AAShnsqCUr5hAREREVB2GVzcm08vfag/ygjCounCEwzRNvaHpYr1amnn3eXWLISIiIpfH8OqmpCIhL1nDq8ZNR10r6PpHW0dff8+2XSWMiIiIqCoMr+4quwQwKYCHFgjyUruam6Jp4gXtLeEAAPNuzn0lIiKi6jG8uiklrQAAIEJ93O6DWlXR3REFaASUxFwo53PVLoeIiIhcFMOrG5KlZiDHurC/u35Q61oi0BPa7uWjr9+fV7cYIiIiclkMr26o4lKwCDBAeOnVLcaJdLe3tI6+ns+FcoFzX4mIiKgyhlc3I6W0hVcR4qNyNc4lAjyhrVh54IdklashIiIiV8Tw6m6KTECxCRCAaNawwisAaG9vaV154GwWlHRedYuIiIjsORReExP5iXC12KYMNPWG0DW8vz00Tb2h6RgCADD/mKRyNURERORqHEo/MTExGDhwID755BOUlpY6uyaqxtVTBjQNbMrA1XT9WgIAlF8vQ8ksVrkaIiIiciUOhdcTJ06gW7dueOaZZxAWFobHH38cBw8edHZtdK08I1BmAbTC7dd2rYkm1Beadk0BAJafOPeViIiIrnAovMbFxWHJkiW4ePEiVq9ejfT0dPTr1w+dOnXCkiVLcPnyZWfXSbgyZUA0axhru9ZEd0cUAMBy8hJkLkf3iYiIyEp3Uw/W6TB69GiMGDEC77//PmbPno1nn30Ws2fPxtixY/Hmm28iPDzcWbU2alKRkOVvoTe0VQaqomnuD02rJlASc2Demwz9iHYOHys5ORmZmZlOrK72goOD0bJlS1VrICIiaghuKrwePnwYq1atwueffw4fHx88++yzmDJlClJTU/Hyyy/j3nvv5XQCZ8kpAczll4MNMKhdTb3Q3tESSmIOLMfSoLsjCsKv9s87OTkZsbGxKC5Wd+6st7c3EhISGGCJiIhukkPhdcmSJVi9ejVOnz6NESNGYO3atRgxYgQ0GusshFatWuGDDz5Ahw4dnFpsYyYvl4+6BntDiIY9ZaCCJioQooU/5IV8mPdfgH5Im1ofIzMzE8XFxVjz0hLERsXUQZXXl5B0DpMWzEJmZibDKxER0U1yKLwuX74ckydPxqOPPoqwsLAq27Rs2RIrV668qeLISioSMqs8vDbzVrma+iOEgK5fFEyfn4Tl8EXobm8J4e3YFcVio2LQrV2ckyskIiKi+uZQeD179ux123h4eGDixImOHJ6ulVMCWKR1yoB/45gyUEHTNggizBcyvdAaYPtHq10SERERqcih1QZWr16NL7/8stL+L7/8Eh9//PFNF0X2bB/UakRTBioIIaDrEwkAMB+6CGm2qFwRERERqcmh8PrGG28gODi40v6QkBAsWLDgpouiK6xTBkoAWMNrY6Tp2Mz6IbUiEywnLqldDhEREanIofCalJSEVq1aVdofFRWF5GQuKu9UuaXWVQb0mkazysC1hFYDXa8WAADLvhRIRapcEREREanFofAaEhKCn3/+udL+EydOoGnTpjddFF0hL5dfmKARThm4mrZ7OOCpg8wugXJG3TVbiYiISD0OhdcHH3wQf/nLX7Br1y5YLBZYLBbs3LkTM2bMwIMPPujsGhstKa+aMtCs4V+YoCbCQwftrREAAPPeFJWrISIiIrU4tNrA3//+dyQlJWHw4MHQ6ayHUBQFjzzyCOe8OlOesdFPGbia7rbmsOxPgbyQDyU5D5qWAWqXRERERPXMofDq4eGB9evX47XXXsOJEyfg5eWFzp07Iyoqytn1NWq2VQaCvBr1lIEKws8AbZdQWI6lw7wvGR4tO6tdEhEREdWzm7o8bLt27dCunePXnKfqWacMlIfXpo1zlYGqaHtHwnIsHcrpLCiZxdA00hUYiIiIGiuHwqvFYsGaNWuwY8cOZGRkQFEUu/t37tzplOIatSITYLQAGgE08VS7GpehaeYDTbumUM5kwbI/BZq726tdEhEREdUjh8LrjBkzsGbNGowcORJxcXF8S7sOVIy6ooknhNahz9U1WLo+kSg7kwXLiXTo4ltB+HqoXRIRERHVE4fC6+eff44vvvgCI0aMcHY9VM62ygCnDFQiWgZANPeDvFgA88EL0A9qrXZJREREVE8cGtLz8PBATEyMs2uhcrLUDBSWAbB+WIvsCSGg69sSAGA5nApZxkvGEhERNRYOhddnnnkG77zzDqTklY7qgm3KgL8BwkOrbjEuStM+GKKJJ1BqhuV4mtrlEBERUT1xaNrAjz/+iF27duF///sfOnXqBL1eb3f/hg0bnFJcY2WbMsBP0ldLaAS0vSNh/t9ZWA5cgLZHcwgN514TERE1dA6F18DAQIwePdrZtRAAaVaAvFIAgGjKKQM10XYNg3lXImROKZTTmdDGNlO7JCIiIqpjDoXX1atXO7sOqpBbCkgAXjoIL/11mzdmwkMLbY8IWH5MhnlfCsMrERFRI+DwGkxmsxnbt2/HBx98gIKCAgBAamoqCgsLnVZcYySzy6cM8INaN0R3W3NAK6yXjE3JU7scIiIiqmMOjbwmJSXhrrvuQnJyMoxGI4YMGQI/Pz8sWrQIpaWlWLFihbPrbBSklAyvtSR8DdB2DoXleDrM+1LgERmgdklERERUhxwaeZ0xYwZ69OiBnJwceHldCVmjR4/Gjh07nFZco1NkAsrKr6oVwKtq3Sht70gAgPJbJpTy8E9EREQNk8OrDfz000/w8LC/slFUVBQuXrzolMIao4pRVzTx5Cfna0ET4gNNmyAov2fDciAFmuHt1C6JiIiI6ohDI6+KosBiqbww/IULF+Dn53fTRTVWnDLgOG0f6+ir5Xg6ZIlJ5WqIiIiorjgUXocMGYKlS5fabgshUFhYiHnz5vGSsQ6SJguQbwQAiCYMr7WlaRUIEeoDmBRYDqeqXQ4RERHVEYfC69tvv409e/agY8eOKC0txbhx4xAdHY2LFy/izTffdHaNjYJtyoCPHsLTodkcjZoQArry0VfzoYvW9XKJiIiowXEoJUVEROD48eP47LPPcPToUSiKgilTpuDhhx+2+wAX1QKnDNw0TacQYMcfQEEZLKcuQXdLuNolERERkZM5PMTn5eWFyZMnY/Lkyc6sp1GSUkLmlF9Vi+HVYUKrge62FjDv+AOWfSnQdg1TuyQiIiJyMofC69q1a2u8/5FHHnGomEYr3wiYFUCnAfwNalfj1rS3hsP8QxLk5WIov2erXQ4RERE5mUPhdcaMGXa3TSYTiouL4eHhAW9vb4bXWrKtMtDEE0JwiaybITz10HYLh+XABVj2XQA6qV0REREROZNDH9jKycmx2woLC3H69Gn069cPn332mbNrbPAqpgyAUwacQturOSAAJTEHhrzKS7oRERGR+3IovFalbdu2eOONNyqNylLNpNEMFJYB4BJZzqIJ9IKmYzMAQNM/ylSuhoiIiJzJaeEVALRaLVJTb3yNze+//x6jRo1CREQEhBD4+uuv7e6fNGkShBB2W+/evZ1ZsupsS2T5eUB4aNUtpgHRlV8yNiDVhOb+wSpXQ0RERM7i0JzXTZs22d2WUiItLQ3Lli3D7bfffsPHKSoqQteuXfHoo4/i/vvvr7LNXXfdhdWrV9tuX3tJWnfHVQbqhqa5P0TLACA5D0/2GqN2OUREROQkDoXX++67z+62EALNmjXDoEGD8NZbb93wcYYPH47hw4fX2MZgMCAs7MaXPDIajTAajbbb+fn5N/zY+iYVCeRwfde6ousTCVNyHqbcOgoXFKl2OUREROQEDoVXRam/qxft3r0bISEhCAwMxIABA/D6668jJCSk2vYLFy7EK6+8Um/13ZS8UsAiAb0G8G1YI8quQNOuKYw+GgTCF8UlpWqXQ0RERE7g1DmvzjZ8+HB8+umn2LlzJ9566y0cOnQIgwYNshtZvdbs2bORl5dn21JSUuqx4tqxTRlo4sUlsuqAEAJZra1/FAQXeUBKjr4SERG5O4dGXmfNmnXDbZcsWeLIKQAAY8eOtX0fFxeHHj16ICoqCt999x3GjKl6HqPBYIDB4B4L/cvyKQNcIqvu5LXQQ78/Hc18AiEvF0OE+KhdEhEREd0Eh8LrsWPHcPToUZjNZrRv3x4AcObMGWi1WnTv3t3WztmjieHh4YiKisLZs2edelw1SKMZKDIBsF6cgOqG1Ap8cPBr/G3gJMiL+ZDNvDnKTURE5MYcCq+jRo2Cn58fPv74YzRp0gSA9cIFjz76KO644w4888wzTi2yQlZWFlJSUhAeHl4nx69PMrd8DqavB4SeS2TVpX8e+g9eGjgRmoIy66V4A/jHAhERkbtyaM7rW2+9hYULF9qCKwA0adIEf//732u12kBhYSGOHz+O48ePAwASExNx/PhxJCcno7CwEM8++yz27duH8+fPY/fu3Rg1ahSCg4MxevRoR8p2Lbb5rgxSde1yUS5yvKyj3MoF1119goiIiK7PofCan5+PS5cuVdqfkZGBgoKCGz7O4cOH0a1bN3Tr1g2AdS5tt27d8PLLL0Or1eLkyZO499570a5dO0ycOBHt2rXDvn374Ofn50jZLkNKaZvvyqtq1Y9MH2t4RVYJZLFJ3WKIiIjIYQ5NGxg9ejQeffRRvPXWW7YrXu3fvx/PPfdctR+kqkp8fHyNnwDfsmWLI+W5viITYFIAjQD83ePDZe7OqFOsH4zLLoG8mA/RtqnaJREREZEDHAqvK1aswLPPPovx48fDZLKOYul0OkyZMgWLFy92aoENkW2VgUBPCA0/PFRfNC38oWSXQF4qgowK5OV4iYiI3JBD4dXb2xvvv/8+Fi9ejN9//x1SSsTExMDHh8sQ3QjJ+a7qCDBYLwZRWAaZVgARFah2RURERFRLN3WRgrS0NKSlpaFdu3bw8fHhIvA3QFoU65W1wPmu9U0IAdHCHwAgUwus/xZERETkVhwKr1lZWRg8eDDatWuHESNGIC0tDQAwderUOlsmq8HIMwISgEELeDk08E03QTTztva9SYHMKFK7HCIiIqolh8LrX//6V+j1eiQnJ8Pb29u2f+zYsdi8ebPTimuIrl5lgIvl1z8hBETz8tHXC/l8t4CIiMjNODT0t3XrVmzZsgUtWrSw29+2bVskJSU5pbCGqmK+KzjfVTUizBcyKRcoMQPZJUBT7+s+hoiIiFyDQyOvRUVFdiOuFTIzM2EwcOmn6kijGShfY1QEMryqReg0EOHWtYJ50QIiIiL34lB47d+/P9auXWu7LYSAoihYvHgxBg4c6LTiGhrbqKsfLwmrNhHhBwgAeUbIAqPa5RAREdENcmjawOLFixEfH4/Dhw+jrKwMzz//PH755RdkZ2fjp59+cnaNDUfFfFeOuqpOeOogmvlAZhRBXsiHiG2mdklERER0Axwaee3YsSN+/vln3HbbbRgyZAiKioowZswYHDt2DG3atHF2jQ2ClBIyl0tkuRLbslmXiyFLzSpXQ0RERDei1iOvJpMJQ4cOxQcffIBXXnmlLmpqmCouCavlJWFdhfD1AAI9gdxS6yVj2wSpXRIRERFdR61HXvV6PU6dOsVlnmrJdknYAF4S1pVoKkZf0wshzbxoARERkatzaNrAI488gpUrVzq7lgaNl4R1UU08AW89YJGQaQVqV0NERETX4dAHtsrKyvDRRx9h27Zt6NGjB3x8fOzuX7JkiVOKayh4SVjXZb1ogR/k2WzIiwWQzf05Mk5EROTCahVe//jjD0RHR+PUqVPo3r07AODMmTN2bTidoAq8JKxLE6G+kOdzgTILZGYxRIjPdR9DRERE6qhVkmrbti3S0tKwa9cuANbLwf7jH/9AaGhonRTXUPCSsK5NaAREhB9kUp71krHNvPnvRERE5KJqNef12uvA/+9//0NRUZFTC2qION/V9YkIP0AjgMIy60g5ERERuSSHPrBV4dowS5VdfUlY8OIELkvotRCh1ukCvGQsERGR66pVeBVCVHo7lW+v1oyXhHUfFRctQHYJZMUfHERERORSajXnVUqJSZMmwWCwLrJfWlqKJ554otJqAxs2bHBehe7uqvmu5NqElx5o6gVklVgvGduuqdolERER0TVqFV4nTpxod3v8+PFOLaahkVJyvqub0bTwh5JVAnmpEDI6EMKDo+VERESupFbhdfXq1XVVR8NUWAaYyy8J68dLwroFfwPg5wEUlEGmFkBEB6pdEREREV3lpj6wRTWzzXcN5CVh3YUQ4solY1MLrBeYICIiIpfB8FqHJOe7uqdgb8BTB5gVyEtcCo6IiMiVMLzWEY0CIN+6Xijnu7qXikvGAoC8mM8l4YiIiFwIw2sd8SnTWi8J66mzbuRWRJgvoNMAJWYgq0TtcoiIiKgcw2sd8SuzBlbRxJNr4bohodVAhPsC4EULiIiIXAnDax3xNVqXWOJ8V/clIvwAASDfCJnPS8YSERG5AobXOhAZEAJPS/n6oLwkrNsSBh1ESPklY1PyVK6GiIiIAIbXOjGoTQ/rN/4GCB272J2JyADrN1klkEVl6hZDREREDK914c7y8Co46ur2hLfeunQWAJnCua9ERERqY3h1NikxsHV3AFwiq6HQRJZftCCjCLLEpHI1REREjRvDq5N55ilo6h0Ai5DWS42S2xN+BqD8DxHJlQeIiIhUxfDqZL6XzQCAQg8zl8hqQDTlc19leiFkmUXlaoiIiBovhlcn8ykPrwUGBpwGJcBgHUmX1qtuERERkToYXp1IKhIai/VSooUeZpWrIWcSQlyZ+5paAGniHydERERqYHh1IqERSLzDFy0XjUaZTqpdDjlbkBfgowcsEjK1QO1qiIiIGiWG1zpwuShX7RKoDgghbOu+ytQCSIuickVERESND8MrUS2IZt6Apw4wKZDphWqXQ0RE1OgwvBLVghACokX53NeUfEiF00OIiIjqE8MrUS2JMF/AQwuUWSAzitQuh4iIqFFheCWqJaEREM39AAAyJQ9ScvSViIiovjC8EjlAhPsBOg1QYgYyi9Uuh4iIqNFgeCVygNBpICKso69KSj5HX4mIiOoJwyuRg0RzP0AjgMIyIKdU7XKIiIgaBYZXIgcJvRYi3BcAoCTnqVwNERFR48DwSnQTRAt/QADIN0LmcvSViIiorjG8Et0EYdBZl84CoCTlqlsMERFRI8DwSnSTRGSAdfQ1zwiZx9FXIiKiusTwSnSThOfVo6+c+0pERFSXVA2v33//PUaNGoWIiAgIIfD111/b3S+lxPz58xEREQEvLy/Ex8fjl19+UadYohrYRl9zSzn6SkREVIdUDa9FRUXo2rUrli1bVuX9ixYtwpIlS7Bs2TIcOnQIYWFhGDJkCAoKCuq5UqKaCU8dRChXHiAiIqprOjVPPnz4cAwfPrzK+6SUWLp0KebMmYMxY8YAAD7++GOEhoZi3bp1ePzxx+uzVKLrEpH+kOmFQE4pZL4Rwt+gdklEREQNjsvOeU1MTER6ejqGDh1q22cwGDBgwADs3bu32scZjUbk5+fbbUT1QXjpIUJ9AHDlASIiorrisuE1PT0dABAaGmq3PzQ01HZfVRYuXIiAgADbFhkZWad1El1NtAywfpNTCllgVLcYIiKiBshlw2sFIYTdbSllpX1Xmz17NvLy8mxbSkpKXZdIZGM/+sq5r0RERM6m6pzXmoSFhQGwjsCGh4fb9mdkZFQajb2awWCAwcC5hqQe0TIA8lIRkF3C0VciIiInc9mR11atWiEsLAzbtm2z7SsrK8OePXvQt29fFSsjqpnw0kOEcPSViIioLqg68lpYWIhz587ZbicmJuL48eMICgpCy5YtMXPmTCxYsABt27ZF27ZtsWDBAnh7e2PcuHEqVk10faJlAGSGdfTVO8hl/0YkIiJyO6qG18OHD2PgwIG227NmzQIATJw4EWvWrMHzzz+PkpISTJs2DTk5OejVqxe2bt0KPz8/tUomuiHC2zr3VV4qQmghp7EQERE5i6rhNT4+HlLKau8XQmD+/PmYP39+/RVF5CQiKhAyowh+ZTrcEd1V7XKIiIgaBL6fSVRHhKcOIsx61a15gyYDNfyhRkRERDeG4ZWoDomWAVAgcXtUF/hctqhdDhERkdtjeCWqQ8KgQ5a3CQAQcrq0xmkyREREdH0Mr0R1LMOnDIXGEnjlKVDOZKldDhERkVtz2YsUUMORkJDQKM9dwaKVWLb/33hxwASYdyVC065pjVeJIyIiouoxvFKdSc++DAFg/PjxapeCwsJCVc//zt4v8NzgCdBmFEH5JQPauOqvEkdERETVY3ilOpNbmA8J4J1pL6N31x6q1PC/A7sxf9USlJaWqnL+CrmlhchqY0DIaSPMe85D07EZhIazdoiIiGqL4ZXqXEzzaHRrF6fKuX9L/l2V81Ylu5UHQpItkFklsBxPh657hNolERERuR0O/RDVE0UnoLsjCgBg3n0esoxLZxEREdUWwytRPdL2aA4R6AkUlsFy4ILa5RAREbkdhleieiR0GugGtgIAmH9KhiwqU7kiIiIi98LwSlTPNHEhEOG+QJkF5h+S1C6HiIjIrTC8EtUzIQR0g9sAACyHU6Fkl6hcERERkftgeCVSgbZ1E2jaNAEUCfOuP9Quh4iIyG0wvBKppGL0VfnlMpSL+SpXQ0RE5B4YXolUognzhaaL9Upb5u1/QEqpckVERESuj+GVSEX6ga0ArYCSlAvlXLba5RAREbk8hlciFYkAT2hvawEAMG//HVJRVK6IiIjItTG8EqlM168l4KWDvFwMy5E0tcshIiJyaQyvRCoTXvorFy7YlQhZbFK5IiIiItfF8ErkArTdIyBCfYBSM8y7E9Uuh4iIyGUxvBK5AKER0A2LAQBYjqRCuVSockVERESuieGVyEVoo5tAE9sMkIB58zkunUVERFQFhlciF6If0gbQaaxLZ/2WqXY5RERELofhlciFiEBPaPtGAgBMW89BmiwqV0RERORaGF6JXIzu9paAvwHIM8KyL0XtcoiIiFwKwyuRixF6LfR3tgYAmH9MhswrVbkiIiIi18HwSuSCNJ1CIFoGAGYFpq3n1C6HiIjIZTC8ErkgIQT0w9sCGgElIROW0/zwFhEREcDwSuSyNKG+0PZuAQAw/e8spNGsckVERETqY3glcmG6AdEQgZ5AvpFX3iIiIgLDK5FLE3otdCPbAQAsBy9CSc1XuSIiIiJ1MbwSuThtmyBo4kIACZi+PQOpKGqXREREpBqGVyI3oB8WA3jqINMLYTlwUe1yiIiIVMPwSuQGhI8HdEPaAADMuxOh5JaoXBEREZE6GF6J3IT2ljCIqADApMD837OQUqpdEhERUb1jeCVyE0II6Ee2B7QCyrlsKCcvqV0SERFRvWN4JXIjmmBv6PpHAwBMm89B5hvVLYiIiKieMbwSuRnt7ZEQEX5AqRmmb09z+gARETUqDK9EbkZoNNDf28E2fcByPF3tkoiIiOoNwyuRG9I084FuYCsAgHnLOSg5XH2AiIgaB4ZXIjel7R0JERkAlFlg2pjAixcQEVGjwPBK5KaERkA/ugNg0EJeyIflh2S1SyIiIqpzDK9EbkwT6AX9iHYAAPP356FcyFO5IiIiorrF8Erk5rSdQ6GJCwEkYNqQAFlqUrskIiKiOsPwStQA6Ee0gwj0hMwthWkTl88iIqKGi+GVqAEQnjroH+gIaASU3zJhOXhR7ZKIiIjqBMMrUQOhifCHbmgbAIB52+9QLuarXBEREZHzMbwSNSDans2h6RAMKBJlX/4CWVSmdklEREROxfBK1IAIIaC/pwNEkBeQb4Tp379y/VciImpQXDq8zp8/H0IIuy0sLEztsohcmvDUQT82DvDQQknKhXnbH2qXRERE5DQuHV4BoFOnTkhLS7NtJ0+eVLskIpenaeYD/b0dAACWAxdg+Tld5YqIiIicQ6d2Adej0+k42krkAG1sMyj9WsLyYzJM35yGCPSEpmWg2mURERHdFJcfeT179iwiIiLQqlUrPPjgg/jjj5rfAjUajcjPz7fbiBor3cBW1g9wWSTK1p+Ckl2idklEREQ3xaXDa69evbB27Vps2bIFH374IdLT09G3b19kZWVV+5iFCxciICDAtkVGRtZjxUSuRQgB/ehYiAg/oMQM02c/Q5bwClxEROS+XDq8Dh8+HPfffz86d+6MO++8E9999x0A4OOPP672MbNnz0ZeXp5tS0lJqa9yiVyS0GvhMTYO8DdAZpWg7POTkCaL2mURERE5xKXD67V8fHzQuXNnnD17tto2BoMB/v7+dhtRYyf8DPB4qDNg0EKm5MP0FZfQIiIi9+RW4dVoNCIhIQHh4eFql0LkdjShvvB4sDOgFVDOZMH87RlIKdUui4iIqFZcOrw+++yz2LNnDxITE3HgwAE88MADyM/Px8SJE9UujcgtaaICoX+gEyAAy/F0mLecY4AlIiK34tLh9cKFC3jooYfQvn17jBkzBh4eHti/fz+ioqLULo3IbWnbB0M3qj0AwHLwIszb/2CAJSIit+HS67x+/vnnapdA1CDpbgkHLBLm787Asi8F0AroBraCEELt0oiIiGrk0iOvRFR3dLdGQHdXDADA8mMyzNt+5wgsERG5PIZXokZMd1sL6IaVB9j9F2D+71kGWCIicmkMr0SNnK5XiytzYI+kwrQxAdLCZbSIiMg1MbwSEXTdwqEfEwsIQDmVAdO6nyFLzWqXRUREVIlLf2CLqCFJSEhQ9fzBwcFo2bJltfdr40IBTx1M//4VSmIuytYcg8e4zhD+nvVYJdWn5ORkZGZmqlrD9V6XRETXYnglqmPp2ZchAIwfP17VOry9vZGQkFBzgI1pCjHxFpR9dhIyowjGj47C40+doIkMqMdKqT4kJycjNjYWxcXFqtZxI69LIqKrMbwS1bHcwnxIAO9Mexm9u/ZQpYaEpHOYtGAWMjMzrxsSNOF+8JjcDabPT0FmFKFs7XHoRrazLq9FDUZmZiaKi4ux5qUliI2KUaWG2rwuiYgqMLwS1ZOY5tHo1i5O7TJuiCbQyxpgv/4Nym+ZMG86DXkxH7qhMRB6rdrlkRPFRsW4zeuSiAjgB7aIqBrCQwf9nzpBNyAaAGA5koayVUehZKn7NjMRETVuDK9EVC0hBHQDoqF/uAvgrYe8VISyD4/AfCyN68ESEZEqGF6J6Lq0bYJgeLwHNFGBQJkF5m9Ow7T+FGShUe3SiIiokWF4JaIbIvwM0E/oCt2drQGtgHImC8blh2A+zlFYIiKqPwyvRHTDhEZA17clPB67FSLMFygxw7zpNExrT0DJ5FxYIiKqewyvRFRrmhBfeEzpDt3g1oBOAyUpF2UrDsG09RxkqUnt8oiIqAFjeCUihwitBrrbW8LjyZ7QxAQBioRl/wUYlx2E+dBFSIuidolERNQAMbwS0U3RNPGCx7gu0D/UGSLYGyg2wfy/syh77yAsJ9IhFc6HJSIi5+FFCojIKbRtm0LTugksR9Ng/iEJMrcUpv/8BvH9eWh7tYD2lnAID/UvcJCcnIzMzExVawgODuYVpYiIHMTwSkROI7Qa6Ho2h/aWMFgOXoR5bzJkTinMm8/BvPs8tD0ioOvZHMLPoEp9ycnJiI2NRXGxuh8u8/b2RkJCAgMsEZEDGF6JyOmEXgvd7S2hva05LCfSYdl/ATK7BJYfk2HZlwJt51Bou4VDtPCHEKLe6srMzERxcTHWvLQEsVEx9XbeqyUkncOkBbOQmZnJ8EpE5ACGVyKqM0Kvha5Hc2i7R0A5kwnz3hTIC/mwHE+H5Xg6RJAXtF3DoO0SChHgWW91xUbFoFu7uHo7HxEROQ/DKxHVOaER0HZoBm2HZlBS8mA+mgrl18uQ2SUw70qEeVciNK0CoekcCm27phDeHmqXTERELorhlYjqlSYyAB6RAZDD20JJyITleDqUpFwoidbNLAARGQBt+2Bo2jeFJshb7ZKJiMiFMLwSkSqEh846ZaBrGJTcEig/X4Llt0zI9ELI5DyYk/OAbb9DBHtD0yYImuhAaKICITz53xYRUWPG3wJEpDpNoBc0/aOh6x8NmVsKy5lMKKczoSTlQWYWw5JZDMuBC4AARLgfNFGB1jDbwh/CS692+UREVI8YXonIpYhAT+huawHc1gKyxATljxwoiTlQzudCZpdAphbAkloAy74Ua/sgL4jmftA094emuT9EqC+EjtdfISJqqBheichlCS89tJ1CoO0UAgCQ+aVQzudat+Q8a5gt35STGeUPAkSwN0SoLzQhPrav8FdnbVkiInIuhlcichvC3xPaLmHQdgkDAMhiE5TUfMiLBVAu5kNJLQCKTZCXiyEvF0O5+sF6DVp5Af/608sILfCAkl4I4a0HvHSATlOv680SEZHjGF6JyG0Jbz20MU2BmKYAACklUFAG5VIhZEaR7avMLAZMCrxMwANxA4EiQJ7Jgqw4kE4DeOoAgxbCYP0Kgw6i/Cs8tBAahlsiIlfA8ErUiCQkJKh6fqPRCIOhnt6+9wIQDSBaCyi+8ChWcOm3ZGxasx7Pj56KpgZ/oMQEGC2AWQEKy4BCXAm0sP8eHlpArwH0Wojyr9Bp7PfpNIBWA2gEoBXW7wXqfVRXSgko5ZuUgALr9wLW2jQCUCRHm4nILTG8EjUC6dmXIQCMHz9e1TqEENZgpbJ7HxiNO7q0BQBIiwKUmAGjGdJoAYxmwGiBLP8Ko9maYsss1g0mVPUManxWFUFWI9DO5I3D01ah9Z5CGA8ftgZKUR4oBQCIq0Jn5U1Wsx8SV76/AR0BFM/fCZkuYbmcbK3vqjqh01gDuYfWGtQ9ygO6QQd46jgSTUSqYXglagRyC/MhAbwz7WX07tpDlRr+d2A35q9a4hI1lJaW2vYJrQbw9QB8PVBVHJNSAibFGmJNCqSpfKTWpAAmC2T5V9s+RQIWxT7NWiRgsQAAPKFFp9BWQIECWVBYt0/4BggIu/qudm0MrjQS7amzrrvrpbPOH/bxsH7PEV0iqkMMr0SNSEzzaHRrF6fKuX9L/t1laqgNIYQ1qHlorbdv8HGyYhTUoljDYfn3Z1MS8dSSv+GD5SsQ0ybmyggrcOWrRlwZjdUI6yinRgAaXHnb/9o24qo2V+2/0g52o7Mnjp3AnYMHYev/+xRx0e3KA6xi+yorwniZ5UpILysfibZI20i0zDdan2/FE9cIwFsP4aO3/kHgZ7B+5UgtETkJwysRUR2wBc5r1pwtumTBnsRjKGqmgzYmqP4Ls2ZwKB4CWcX5MGtllRd6qC5q2kaiS82QpWag1AyUmCCLTUCRyRqOC8sgC8uAS0XWUCsA+Bkg/DwAfwOEv8H6wTgiIgfwfw8iIrphV49Ei2vWzpVSWsNskQmyqAyyoAwoMFrDbr7ROkp7scAaaL10iBAG3BfbH9oypcpzERFVheGViIicQggBeOkBLz1EsDeAK4FW5huBgjLr18IyoMSMYHjgswdfAbYWwnjiEDQxTaGNCYKI9IfQ8CppRFQ1hlciIqozFYFWeOmBUOs+abIAeUZknL+I9MQLiAttDXmpCJZLRbD8lAx46qBp0wTamKbQxARB+Hio+ySIyKUwvBIRUb0Sei0Q7I3UbCN6vT8Fx/ceQpxvJCznsqCcywZKzFB+uQzll8vW9hF+0LZtCk3bphDhvlzNgKiRY3glIiJVWQwaaDuHQts5FFKRkBfzYTlrDbIyvRAytQDm1AJgz3nAzwPa9sHQtGsKTXQTCB2nFxA1NgyvRETkMoRGQEQGQBMZAAxqDVlghOVcNpSzWVB+zwYKymA5nArL4VTAQ2udXtA+GJqYpta1ZomowWN4JSIilyX8DNB1Cwe6hUOaLVASc6GcyYTldBZQWAYlIRNKQqb1MryRAVdGZZt6q106EdURhlciInILQqeFtm1TaNs2hW6EhEwrgOV0FpQzmZCXiiCT82BOzgO2/Q4R7A1Nu6bQtg+GaO7PiyQQNSAMr0REpKqEhATHHxwAoKcW+mJf+F4yw++SCT5ZFiCzGJbMYlj2psDsIVAQqkNBqA5FwTpInX2QDQ4ORsuWLW/uSRA5WXJyMjIzM1WtwVV/NhheiYhIFenZlyEAjB8/3qnH9Tf4YGjMbRjZoS/uatsbgfBFkxQTmqSYUGIyYucfR/Dd6b343+l9SC/Mhre3NxISElzylzQ1TsnJyYiNjUVxcbGqdbjqzwbDKxERqSK3MB8SwDvTXkbvrj3q5BzJUiKrrBj+Rh0CjDp4wYCR7ftiZPu+AIAspQjv7PwMhecuQbaI5PQCcgmZmZkoLi7GmpeWIDYqRpUaEpLOYdKCWcjMzGR4JSIiulpM82h0axdX5+eRUgLFJsisEsisYqCgDE01Pnj1zqnAj0UwHvkJmuhAaFo1gaZVE4ggL64pS6qKjYqpl58Nd8PwSkREjYIQAvDxsF6xq2UApNGM5ITfcezgEYyIux3aEvOV1QsAIMAAbXmQ1UQHQvgZ1H0CRASA4ZWIiBopYdAh29uEP3/2Nxw5dBi3hMZAScyBJTEHMiUfyDPCcjwdluPp1vaBnuVr0PpDExkAEeLDkVkiFTC8EhERaQQ05RdH0PWPhiyzQEnOg5KYAyUxx3qlr9xSyNxSKCcvWR9j0EIT4Q8R7gtNhB9EuJ814DLQEtUphlciIqJrCA8ttDFB0MYEAQBkqRnKxXwoKXmQKXlQLuQDRguUxBwgMQeWigd66qAJ94UI8YVo5g1NiA9EMx8IA3/dUt2QUgIWCZgVwGQBzAqkWbHeVsrvs1z1vSIhK25LALLqr+2M3tg8aYnKz65q/GkiIiK6DuGpg7ZNELRtysOsokBeKoKSVgCZVgAltQAyowgoNUNJzAUSc+0PEGCAJtjH+iGwq7dATwitpt6fD7keKSVgNEOWmOGZa8GdbXoisEQHJbXAFkphuiqYXrWvLnhCi5igFsirk6PfHLcIr++//z4WL16MtLQ0dOrUCUuXLsUdd9yhdllERNRICY0GItwPmnA/2z5pUSAziqCkF0JmFEFeLoKSUQQUlgF5Rih5RuD3aw8EwM8A4V++Xf19+QZfDwZcNyJNFqDUGkJRair/aoYsNUOWmK7cV2Ky3i65sh/SeozWAL55ZBGQB8i87Bs7sUYAOg2g11i/ajUQWmHdr9UAV3+vEdbbQlgvrVz+FRVTXgRw9uJ5TPrny/jg4U/roptuisuH1/Xr12PmzJl4//33cfvtt+ODDz7A8OHD8euvv7rcumNERNR4CW3lQAsAssRkDbVZxZDZJdYtx/oVJgXIN0LmGytyS9UMWghvPeClt3711kNc/b1BC3joyr9qre09dIBBC+g0nIdbA9vb7hYFKLNAllmA8k1e8/XK92ZIo8UaPEvtAyksNf5LXp9eA5NWIuH8ObRuGQVff3+Iq0OpTgOh19oHVZ3G6X/gFF224PDF35x6TGdx+fC6ZMkSTJkyBVOnTgUALF26FFu2bMHy5cuxcOFClasjIiKqmfDSQ0QFQhMVaLdfSgkUllmDaxUbCsq/KhIwWqxhKae05pBbZQGwBtqK0TjdlcADrbDe1l4TgjQC0MA6EqcRV32F7bbQVN4HZ2RkCetzViQgJWTF3Mzy21e+otJtWXHbogBmeWX+p6X8rXbLVW+7V2w3GzarIgB46iA8ddY/ODx11tteOsBTb/3qZf0qvPS27+Glg9Bp8evRo+h161Qc+GATurVr4/z63JxLh9eysjIcOXIEL774ot3+oUOHYu/evVU+xmg0wmg02m7n5Vlna+Tn59ddoVcpLCwEABw9cwqFJepc1i0h6RwA4FTiaXj6eKtSg6vUwRpYg6vVcCblDwDAkSNHbP9fqOH06dMA+H+Vq/x7aDQaKIoCGAA0K98AQAJaM6Atk9bNdPX31k1XJqExSwiLhMYMaMzW21rLVScoqf/n5I4kAEUHKDoBRSug6ACpEdbbOpTvE1C01jYWvYCiF7DoYP1avilaAEIBUFa+XcMMoKB8q4Ir/HxW/GwUFhbWS4aqOIeUN/DHhHRhFy9elADkTz/9ZLf/9ddfl+3atavyMfPmzZMo/7wcN27cuHHjxo0bN/fZUlJSrpsPXXrktcK1c3WklNXO35k9ezZmzZplu60oCrKzs9G0aVO7x+Tn5yMyMhIpKSnw9/evm8IbMPaf49h3jmPf3Rz2n+PYdzeH/ee4xtJ3UkoUFBQgIiLium1dOrwGBwdDq9UiPT3dbn9GRgZCQ0OrfIzBYIDBYH8Jv8DAwGrP4e/v36BfDHWN/ec49p3j2Hc3h/3nOPbdzWH/Oa4x9F1AQMANtXPptTc8PDxw6623Ytu2bXb7t23bhr59+6pUFRERERGpxaVHXgFg1qxZmDBhAnr06IE+ffrgn//8J5KTk/HEE0+oXRoRERER1TOXD69jx45FVlYWXn31VaSlpSEuLg7//e9/ERUVdVPHNRgMmDdvXqUpBnRj2H+OY985jn13c9h/jmPf3Rz2n+PYd5UJKW9kTQIiIiIiIvW59JxXIiIiIqKrMbwSERERkdtgeCUiIiIit8HwSkRERERuw23C68KFC9GzZ0/4+fkhJCQE9913n+3avxWklJg/fz4iIiLg5eWF+Ph4/PLLL3ZtjEYjnn76aQQHB8PHxwf33HMPLly4YNcmJycHEyZMQEBAAAICAjBhwgTk5ubatUlOTsaoUaPg4+OD4OBg/OUvf0FZWRXXL3ZBCxcuhBACM2fOtO1j39Xs4sWLGD9+PJo2bQpvb2/ccsstOHLkiO1+9l/VzGYz/va3v6FVq1bw8vJC69at8eqrr1qv4V6OfXfF999/j1GjRiEiIgJCCHz99dd297taX508eRIDBgyAl5cXmjdvjldfffXGrkteB2rqO5PJhBdeeAGdO3eGj48PIiIi8MgjjyA1NdXuGI2174Drv/au9vjjj0MIgaVLl9rtb6z9dyN9l5CQgHvuuQcBAQHw8/ND7969kZycbLu/sfadw657AVkXMWzYMLl69Wp56tQpefz4cTly5EjZsmVLWVhYaGvzxhtvSD8/P/nVV1/JkydPyrFjx8rw8HCZn59va/PEE0/I5s2by23btsmjR4/KgQMHyq5du0qz2Wxrc9ddd8m4uDi5d+9euXfvXhkXFyfvvvtu2/1ms1nGxcXJgQMHyqNHj8pt27bJiIgIOX369PrpjJtw8OBBGR0dLbt06SJnzJhh28++q152draMioqSkyZNkgcOHJCJiYly+/bt8ty5c7Y27L+q/f3vf5dNmzaV3377rUxMTJRffvml9PX1lUuXLrW1Yd9d8d///lfOmTNHfvXVVxKA3Lhxo939rtRXeXl5MjQ0VD744IPy5MmT8quvvpJ+fn7y//2//1d3HVSDmvouNzdX3nnnnXL9+vXyt99+k/v27ZO9evWSt956q90xGmvfSXn9116FjRs3yq5du8qIiAj59ttv293XWPvven137tw5GRQUJJ977jl59OhR+fvvv8tvv/1WXrp0ydamsfado9wmvF4rIyNDApB79uyRUkqpKIoMCwuTb7zxhq1NaWmpDAgIkCtWrJBSWv8D0+v18vPPP7e1uXjxotRoNHLz5s1SSil//fVXCUDu37/f1mbfvn0SgPztt9+klNYXqkajkRcvXrS1+eyzz6TBYJB5eXl196RvUkFBgWzbtq3ctm2bHDBggC28su9q9sILL8h+/fpVez/7r3ojR46UkydPtts3ZswYOX78eCkl+64m1/4SdLW+ev/992VAQIAsLS21tVm4cKGMiIiQiqI4sSdqr6bwVeHgwYMSgExKSpJSsu+uVl3/XbhwQTZv3lyeOnVKRkVF2YVX9p9VVX03duxY2/95VWHf1Z7bTBu4Vl5eHgAgKCgIAJCYmIj09HQMHTrU1sZgMGDAgAHYu3cvAODIkSMwmUx2bSIiIhAXF2drs2/fPgQEBKBXr162Nr1790ZAQIBdm7i4OERERNjaDBs2DEaj0e6tZFfz1FNPYeTIkbjzzjvt9rPvarZp0yb06NEDf/rTnxASEoJu3brhww8/tN3P/qtev379sGPHDpw5cwYAcOLECfz4448YMWIEAPZdbbhaX+3btw8DBgywWzh92LBhSE1Nxfnz553fAU6Wl5cHIQQCAwMBsO+uR1EUTJgwAc899xw6depU6X72X9UURcF3332Hdu3aYdiwYQgJCUGvXr3sphaw72rPLcOrlBKzZs1Cv379EBcXBwBIT08HAISGhtq1DQ0Ntd2Xnp4ODw8PNGnSpMY2ISEhlc4ZEhJi1+ba8zRp0gQeHh62Nq7m888/x9GjR7Fw4cJK97HvavbHH39g+fLlaNu2LbZs2YInnngCf/nLX7B27VoA7L+avPDCC3jooYfQoUMH6PV6dOvWDTNnzsRDDz0EgH1XG67WV1W1qbjt6v1ZWlqKF198EePGjYO/vz8A9t31vPnmm9DpdPjLX/5S5f3sv6plZGSgsLAQb7zxBu666y5s3boVo0ePxpgxY7Bnzx4A7DtHuPzlYasyffp0/Pzzz/jxxx8r3SeEsLstpay071rXtqmqvSNtXEVKSgpmzJiBrVu3wtPTs9p27LuqKYqCHj16YMGCBQCAbt264ZdffsHy5cvxyCOP2Nqx/ypbv349PvnkE6xbtw6dOnXC8ePHMXPmTERERGDixIm2duy7G+dKfVVVLdU91lWYTCY8+OCDUBQF77///nXbs++sI4PvvPMOjh49Wuv6Gnv/VXw49d5778Vf//pXAMAtt9yCvXv3YsWKFRgwYEC1j23sfVcTtxt5ffrpp7Fp0ybs2rULLVq0sO0PCwsDUPkvh4yMDNtfFWFhYSgrK0NOTk6NbS5dulTpvJcvX7Zrc+15cnJyYDKZKv1F4wqOHDmCjIwM3HrrrdDpdNDpdNizZw/+8Y9/QKfTVftXF/vOKjw8HB07drTbFxsba/ukKF971Xvuuefw4osv4sEHH0Tnzp0xYcIE/PWvf7W9A8C+u3Gu1ldVtcnIyABQeXTYVZhMJvz5z39GYmIitm3bZht1Bdh3Nfnhhx+QkZGBli1b2n6HJCUl4ZlnnkF0dDQA9l91goODodPprvs7hH1XO24TXqWUmD59OjZs2ICdO3eiVatWdve3atUKYWFh2LZtm21fWVkZ9uzZg759+wIAbr31Vuj1ers2aWlpOHXqlK1Nnz59kJeXh4MHD9raHDhwAHl5eXZtTp06hbS0NFubrVu3wmAw4NZbb3X+k79JgwcPxsmTJ3H8+HHb1qNHDzz88MM4fvw4Wrduzb6rwe23315pWbYzZ84gKioKAF97NSkuLoZGY//fjFartY1GsO9unKv1VZ8+ffD999/bLcOzdetWRERE2AKNK6kIrmfPnsX27dvRtGlTu/vZd9WbMGECfv75Z7vfIREREXjuueewZcsWAOy/6nh4eKBnz541/g5h3zmgjj8Q5jRPPvmkDAgIkLt375ZpaWm2rbi42NbmjTfekAEBAXLDhg3y5MmT8qGHHqpyGZkWLVrI7du3y6NHj8pBgwZVuRxFly5d5L59++S+fftk586dq1yOYvDgwfLo0aNy+/btskWLFi615M71XL3agJTsu5ocPHhQ6nQ6+frrr8uzZ8/KTz/9VHp7e8tPPvnE1ob9V7WJEyfK5s2b25bK2rBhgwwODpbPP/+8rQ377oqCggJ57NgxeezYMQlALlmyRB47dsz2iXhX6qvc3FwZGhoqH3roIXny5Em5YcMG6e/vr9qSOzX1nclkkvfcc49s0aKFPH78uN3vEKPRaDtGY+07Ka//2rvWtasNSNl4++96fbdhwwap1+vlP//5T3n27Fn57rvvSq1WK3/44QfbMRpr3znKbcIrgCq31atX29ooiiLnzZsnw8LCpMFgkP3795cnT560O05JSYmcPn26DAoKkl5eXvLuu++WycnJdm2ysrLkww8/LP38/KSfn598+OGHZU5Ojl2bpKQkOXLkSOnl5SWDgoLk9OnT7ZaecHXXhlf2Xc2++eYbGRcXJw0Gg+zQoYP85z//aXc/+69q+fn5csaMGbJly5bS09NTtm7dWs6ZM8cuMLDvrti1a1eV/89NnDhRSul6ffXzzz/LO+64QxoMBhkWFibnz5+v2nI7NfVdYmJitb9Ddu3aZTtGY+07Ka//2rtWVeG1sfbfjfTdypUrZUxMjPT09JRdu3aVX3/9td0xGmvfOUpI6W6XVSAiIiKixspt5rwSERERETG8EhEREZHbYHglIiIiIrfB8EpEREREboPhlYiIiIjcBsMrEREREbkNhlciIiIichsMr0RERETkNhheiYjcwJo1axAYGKh2GUREqmN4JSKqBxkZGXj88cfRsmVLGAwGhIWFYdiwYdi3b5/apRERuRWd2gUQETUG999/P0wmEz7++GO0bt0aly5dwo4dO5CdnV1vNZSVlcHDw6PezkdEVBc48kpEVMdyc3Px448/4s0338TAgQMRFRWF2267DbNnz8bIkSMBAEuWLEHnzp3h4+ODyMhITJs2DYWFhdUe8/fff8e9996L0NBQ+Pr6omfPnti+fbtdm+joaPz973/HpEmTEBAQgMceewyDBg3C9OnT7dplZWXBYDBg586dzn/yREROxvBKRFTHfH194evri6+//hpGo7HKNhqNBv/4xz9w6tQpfPzxx9i5cyeef/75ao9ZWFiIESNGYPv27Th27BiGDRuGUaNGITk52a7d4sWLERcXhyNHjmDu3LmYOnUq1q1bZ1fHp59+ioiICAwcONA5T5iIqA4JKaVUuwgioobuq6++wmOPPYaSkhJ0794dAwYMwIMPPoguXbpU2f7LL7/Ek08+iczMTADWD2zNnDkTubm51Z6jU6dOePLJJ20jq9HR0ejWrRs2btxoa2M0GhEREYHly5fjz3/+MwCgW7duuO+++zBv3jwnPVsiorrDkVcionpw//33IzU1FZs2bcKwYcOwe/dudO/eHWvWrAEA7Nq1C0OGDEHz5s3h5+eHRx55BFlZWSgqKqryeEVFRXj++efRsWNHBAYGwtfXF7/99lulkdcePXrY3TYYDBg/fjxWrVoFADh+/DhOnDiBSZMmOf05ExHVBYZXIqJ64unpiSFDhuDll1/G3r17MWnSJMybNw9JSUkYMWIE4uLi8NVXX+HIkSN47733AAAmk6nKYz333HP46quv8Prrr+OHH37A8ePH0blzZ5SVldm18/HxqfTYqVOnYtu2bbhw4QJWrVqFwYMHIyoqyvlPmIioDnC1ASIilXTs2BFff/01Dh8+DLPZjLfeegsajXVM4YsvvqjxsT/88AMmTZqE0aNHA7DOgT1//vwNnbdz587o0aMHPvzwQ6xbtw7vvvvuTT0PIqL6xPBKRFTHsrKy8Kc//QmTJ09Gly5d4Ofnh8OHD2PRokW499570aZNG5jNZrz77rsYNWoUfvrpJ6xYsaLGY8bExGDDhg0YNWoUhBCYO3cuFEW54ZqmTp2K6dOnw9vb2xaAiYjcAacNEBHVMV9fX/Tq1Qtvv/02+vfvj7i4OMydOxePPfYYli1bhltuuQVLlizBm2++ibi4OHz66adYuHBhjcd8++230aRJE/Tt2xejRo3CsGHD0L179xuu6aGHHoJOp8O4cePg6el5s0+RiKjecLUBIqJGKCUlBdHR0Th06FCtQi8RkdoYXomIGhGTyYS0tDS8+OKLSEpKwk8//aR2SUREtcJpA0REjchPP/2EqKgoHDly5LrzaomIXBFHXomIiIjIbXDklYiIiIjcBsMrEREREbkNhlciIiIichsMr0RERETkNhheiYiIiMhtMLwSERERkdtgeCUiIiIit8HwSkRERERu4/8D2/2ccYqpiOgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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CPPLII4wcORIPDw/q16/vGLd9puLwu2rVKnx8fDh58qTjItL27dvTqFEjVq9ezfHjxys0XrlY8f9jZQ0zErGKwrJINfHy8mLChAlMmDCBkydP8vXXX/PXv/6VQYMGcfDgwXOGv+IfnImJiTRp0sTpuSNHjjiuLC8+rviH85mSkpJK7V0ubVzj4sWL6du3L6+99prT/uqYB/XMz3q2I0eO4OHhQWhoqEvey2az8eijj/LMM8+wfft2ALZv386WLVtYuHAho0aNchxbPIbzXCrz2rLGlT7yyCO88847fPLJJ3z55ZfUr1/f0TNZUZVp0wsZ73qmX375haSkJO6++24AQkND8fT05Pbbb+fBBx8s9TUtW7Z0epyUlFTimKSkJMfnSktL4/PPP2fq1Kk89dRTjmPy8vLKnBLQVZ+vPIq/PydNmsTw4cNLPaZt27bVVk9pmjRpct5f2uPi4hyB2NfXl4iICNq1a+d4vnfv3qxatcrxy1lFw/Knn34KcM4LdUWsoGEYIhaoX78+N910Ew8++CAnTpxwLGpRVu/RVVddBZgh9ky//vor8fHx9O/fH4AePXrg6+tb4mryn376qUKLQ9hsthJTN23durXUGRpcrW3btjRu3JglS5Y4/Vk2KyuLjz76yDGbQ0WVFhTBDIvp6emO3qziEHX25y9Pr+6FvPZsXbt2pVevXsycOZN3332X0aNHExgYWOHzQNW16fmcOHGC+++/H29vbx599FEAAgICHPP3durUiW7dupXYzu5Vfe+995zqPnDgAGvXrnWEKpvNhmEYJdr9rbfeorCwsNz1VlXvbdu2bYmJiWHLli2lft5u3bo5TWdYkXqrqqe5NDabjT59+rB27VpWrlxZYmrCPn36sGbNGlatWkV0dHSF5vfesmUL06dPp0WLFiWGkYlYTT3LItVk6NChxMXF0a1bNxo1asSBAweYM2cOzZs3JyYmBsAxD+3LL7/MqFGj8Pb2pm3btrRt25b77ruPV155BQ8PD6699lr279/PlClTaNq0qSOINGjQgAkTJjBjxgxCQ0MZNmwYhw4d4umnnyYqKsppvOq5DBkyhGeffZapU6fSp08fdu3axTPPPEPLli0rNA6yMjw8PJg1axa33XYbQ4YMYcyYMeTl5fHiiy9y8uRJXnjhhUqd97777uPkyZP86U9/Ii4uDk9PT3bu3MlLL72Eh4cHTz75JADt2rXjoosu4qmnnsIwDBo0aMBnn33GypUrz/seF/La0jzyyCOOKeDGjh1bqXNA1bXpmXbv3s1PP/1EUVERx48f5+eff2b+/Pmkp6fz9ttv06FDB8exL7/8MldccQVXXnklDzzwAC1atCAjI4M9e/bw2Wef8e233zqdOzk5mWHDhnHvvfeSlpbG1KlT8fPzY9KkSQAEBwfTu3dvXnzxRcLCwmjRogVr1qxh/vz51K9fv9yfoazvv8oE2bO9/vrrXHvttQwaNIjRo0fTuHFjTpw4QXx8PBs3buTDDz+s8Dk7duzI+++/z9KlSx2rUhZ/hv79+7NmzRqXf7/269eP//znP6xYsYK5c+c6PdenTx+OHz/Od999x4gRI8o8x4YNGwgJCSE/P58jR47wzTff8M477xAeHs5nn33mGMYi4i4UlkWqSb9+/fjoo4946623SE9PJzIykgEDBjBlyhS8vb0B88+PkyZNYtGiRbz55psUFRWxatUqx5CIiy66iPnz5/Ovf/2LkJAQrrnmGmbMmOHUE/f8888TGBjIvHnzWLBgAe3ateO1115j8uTJ5Q4OkydPJjs7m/nz5zNr1izat2/PvHnzWL58ealTx7naiBEjCAwMZMaMGdx88814enpy2WWXsWrVKnr16lWpcz700EMsXbqUN998k8OHD5OVlUWjRo3o2bMnb7/9tmNeWW9vbz777DMeeeQRxowZg5eXF1dffTVff/01zZo1O+d7XMhrS3PjjTfi6+tLv379HL9QVVZVtOmZ/vrXvwLmcKOQkBDatGnDXXfdxX333ee4wLFY+/bt2bhxI88++yx/+9vfSE5Opn79+sTExDhdUFZs+vTp/Prrr9x5552kp6dz6aWX8v777zvN/7xkyRIeeeQRJk6cSEFBAZdffjkrV64scZHpuZzr++9C9evXj19++YXnn3+e8ePHk5qaSsOGDWnfvn2le1KffvppEhMTuffee8nIyKB58+aOv1IVFhZWqFe9vIqHVhiGUaJnuWPHjjRo0IATJ06cs82uueYawOwZb9CgAR07dmTmzJnceeedLvnFRMTVbIYuPxWp9fbt20e7du2YOnWqI9SI+/vss8+4/vrr+e9//1tqiKztVq9eTb9+/fjwww+56aabrC5HROoo9SyL1DJbtmzhvffeo1evXgQHB7Nr1y5mzZpFcHCw4yIrcW+//fYbBw4c4LHHHuOSSy7h2muvtbokEZE6S2FZpJYJDAxk/fr1zJ8/n5MnTxISEkLfvn15/vnny5w+TtzL2LFj+fHHH+nSpQuLFi2q1pkbRETEmYZhiIiIiIiUQVPHiYiIiIiUQWFZRERERKQMCssiIiIiImXQBX5AUVERR44cISgoSBfSiIiIiLghwzDIyMggOjq63ItsuYLCMuZyt02bNrW6DBERERE5j4MHD9KkSZNqez+FZXCsGHTw4EGCg4MtrkZEREREzpaenk7Tpk2rfaVHhWVwDL0IDg5WWBYRERFxY9U9ZFYX+ImIiIiIlEFhWURERESkDArLIiIiIiJlUFgWERERESmDwrKIiIiISBkUlkVEREREyqCwLCIiIiJSBoVlEREREZEyKCyLiIiIiJRBYVlEREREpAwKyyIiIiIiZVBYFhEREREpg8KyiIiIiEgZFJZFRERERMrgZXUBIq6WkJBASkqKS88ZFhZGs2bNXHpOERERcX8Ky1KrJCQkEBvbjuzsHJeeNyDAn/j4nQrMIiIidYzCstQqKSkpZGfnsHjxncTGRrnknPHxiYwcuYCUlBSFZRERkTpGYVlqpdjYKLp0UbAVERGRC6ML/EREREREyqCwLCIiIiJSBoVlEREREZEyKCyLiIiIiJRBYVlEREREpAwKyyIiIiIiZVBYFhEREREpg8KyiIiIiEgZFJZFRERERMqgsCwiIiIiUgaFZRERERGRMigsi4iIiIiUQWFZRERERKQMCssiIiIiImVQWBYRERERKYPCsoiIiIhIGRSWRURERETKoLAsIiIiIlIGhWURERERkTIoLIuIiIiIlEFhWURERESkDArLIiIiIiJlUFgWERERESmDwrKIiIiISBkUlkVEREREyqCwLCIiIiJSBkvD8nfffcfQoUOJjo7GZrPx8ccfOz1vGAbTpk0jOjoaf39/+vbty44dO5yOycvL46GHHiIsLIzAwECuv/56Dh06VI2fQkRERERqK0vDclZWFhdffDFz584t9flZs2Yxe/Zs5s6dy6+//kpkZCQDBgwgIyPDccz48eNZvnw577//Pj/88AOZmZkMGTKEwsLC6voYIiIiIlJLeVn55tdeey3XXnttqc8ZhsGcOXOYPHkyw4cPB2DRokVERESwZMkSxowZQ1paGvPnz+edd97h6quvBmDx4sU0bdqUr7/+mkGDBlXbZxERERGR2sdtxyzv27ePpKQkBg4c6Njn6+tLnz59WLt2LQAbNmwgPz/f6Zjo6Gji4uIcx5QmLy+P9PR0p01ERERE5GxuG5aTkpIAiIiIcNofERHheC4pKQkfHx9CQ0PLPKY0M2bMICQkxLE1bdrUxdWLiIiISG3gtmG5mM1mc3psGEaJfWc73zGTJk0iLS3NsR08eNAltYqIiIhI7eK2YTkyMhKgRA9xcnKyo7c5MjKSU6dOkZqaWuYxpfH19SU4ONhpExERERE5m9uG5ZYtWxIZGcnKlSsd+06dOsWaNWvo1asXAF27dsXb29vpmMTERLZv3+44RkRERESksiydDSMzM5M9e/Y4Hu/bt4/NmzfToEEDmjVrxvjx45k+fToxMTHExMQwffp0AgICGDFiBAAhISHcfffdPPbYYzRs2JAGDRrw+OOP07FjR8fsGCIiIiIilWVpWF6/fj39+vVzPJ4wYQIAo0aNYuHChUycOJGcnBzGjh1LamoqPXr0YMWKFQQFBTle89JLL+Hl5cVf/vIXcnJy6N+/PwsXLsTT07PaP4+IiIiI1C6WhuW+fftiGEaZz9tsNqZNm8a0adPKPMbPz49XXnmFV155pQoqFBEREZG6zG3HLIuIiIiIWE1hWURERESkDArLIiIiIiJlUFgWERERESmDwrKIiIiISBkUlkVEREREymDp1HEirnMSWE909CpWrowhJuYXYA8QAEQBTdHvhiIiIlJRCstSw6UCi4APgTwiIyEyMti+P9V+zDYgEGgDxAF+VhQqIiIiNZC62qSGKsIMydcDi4E8oBXHjl3JPffsZ9++TkAPIBbwBbKATcB/gAPWlCwiIiI1jsKy1EDZwJPAK0AO0B74P2ApBw/ezvz5x0lNjQI6AVcAtwFXAfXtx68A1gD51V+6iIiI1CgahiE1zGFgArAX88t3IjAMsJ3jNZ7ARUBzYAOwFfgdSAOuAXyqsF4RERGpydSzLDVIMnA/ZlAOA94AhnPuoHwmL8yhGUMwA/JR4L9ArssrFRERkdpBPctyXgkJCaSkpLj8vGFhYTRr1qycR6cB44BEzJktXgfCK/nOUZiB+QsgBfgMGIou/BMREZGzKSzLOSUkJBAb247s7ByXnzsgwJ/4+J3lCMw5wKPAH0Aj4F9UPigXa4gZkL/AnHZuJTAYc8iGiIiIiElhWc4pJSWF7OwcFi++k9jYKJedNz4+kZEjF5CSknKesGwA0zHHGQdjXtQX7aIq6gPXAp8AScAPQG/KP6xDREREajuFZSmX2NgounQp75AJV/oM+B9mj+8/gNYuPn8o0B/4CvOiv1DMWTREREREdIGfuLU/gJn2+/cDXarofZoCl9nv/4I5LlpEREREYVncVi4wCXOxkR7AqCp+vw5ADOawj9XAqSp+PxEREakJFJbFTb2FOUVcQ+AZqv5L1Qb0AoKATODHKn4/ERERqQkUlsUN7QHesd//K2Zgrg4+QD/M4LzHvomIiEhdprAsbqYIeB4oxAyufar5/SOAzvb7P2IurS0iIiJ1lcKyuJllwDYgEHjCoho6Y64QeAr4yaIaRERExB0oLIsbOYE5jzLAWC584ZHK8gCuwByOsZegINevXigiIiI1g8KyuJE3gCwgFrjJ4loaYc6QAc2a/Ya/vxYqERERqYsUlsVN7AeW2++Pxz2Wne4KBOLrm8Pf/ua61QtFRESk5lBYFjfxCuZFfVdihlR34IM5nRw89lgEPj7HrC1HREREqp3CsriBjcAazN7khy2u5WzNSU9viK+vB40b/8fqYkRERKSaKSyLxQzgZfv9G4GW1pVSKhuHDrWlsNAgNHQTsN7qgkRERKQaKSyLpYKDtwE7AD/gPourKV1ubhCvv148BGM25nARERERqQsUlsVSUVGf2e/9hepbqa/ipk5NpKDAH/gd+Ox8h4uIiEgtobAslhk8OJjAwAOYvcq3W13OOaWkFJCUNMT+6HUg18pyREREpJooLItFDKZOjbbf/zMQamUx5XLsWF8gCjgGvG9tMSIiIlItFJbFEsHBKVx6aSCFhT64e69yMcPwBsbYHy0C0i2sRkRERKqDwrJYwCAyci8AKSl9gQaWVlMx1wIXARnAQmtLERERkSqnsCwWSKJevTRyc4s4enSg1cVUkCcwzn5/KXDUwlpERESkqiksiwW2ArBo0XEKCoItrqUyrgA6A3nAvy2uRURERKqSl9UFSF2TCiRgGPDPfx5l6tR4l549Pt615yudDXgAc17oT4DRmBf+iYiISG2jsCzVzOxVPno0lD178hg5cmSVvEtGRmaVnPe0LkB34FfM3uXJVfx+IiIiYgWFZalG2cAeALZsaYhhwNy5w+jZM9Zl7/DFF9uYMuUzcnOrYx7kMZhh+VPM3uXG1fCeIiIiUp0UlqUabQeKgAhSUgIBaN26EV26NHPZO8THJ7nsXOd3CdAD+Bmzd3lKNb63iIiIVAdd4CfVpADYab/fycpCXKx43uXPgUNWFiIiIiJVQGFZqskezNkjggDX9SRbrxPQEygE5ltci4iIiLiawrJUAwPYYb/fntr3ZVfcu/wFcNDKQkRERMTFaltqEbeUCJzAHCLf1uJaqkIccDlm7/JbFtciIiIirqSwLNWguFc5BvC1spAqdJ/99n/AfgvrEBEREVdSWJYqlgEcsN/vYGUhVawDcCXmbB8auywiIlJbKCxLFYvHHLPcGAi1uJaqVty7/CXqXRYREakdFJalChUCu+z321tZSDWJBXpj/nLwb4trEREREVdQWJYqtA/IBQKpXdPFncs99tsv0cwYIiIiNZ/CslShePttW+rOl1p7zJkxilDvsoiISM1XVxKMVLsTQBJgA9pZXEt1K+5d/gI4bGUhIiIicoEUlqWKFC9t3RxzGEZd0hG4DHPM9kJrSxEREZELorAsVSAf2G2/H2tlIRYq7l3+DHNRFhEREamJFJalCuwDTgHBmFPG1UWXAN2BAtS7LCIiUnMpLEsVKB6C0RZzzHJdVdy7/Anm+G0RERGpaRSWxcVOAkcxQ3KMtaVYrivQBbN3+W2LaxEREZHKcOuwXFBQwN/+9jdatmyJv78/rVq14plnnqGoqMhxjGEYTJs2jejoaPz9/enbty87duywsOq67nf7bRPq3oV9pbnXfvsxcMzCOkRERKQy3Dosz5w5k3nz5jF37lzi4+OZNWsWL774Iq+88orjmFmzZjF79mzmzp3Lr7/+SmRkJAMGDCAjI8PCyuuqIk5f2NfWykLcSDfgYswx3OpdFhERqWncOiyvW7eOG264geuuu44WLVpw0003MXDgQNavXw+Yvcpz5sxh8uTJDB8+nLi4OBYtWkR2djZLliyxuPq66BCQDfhRd1bsOx8bp3uXlwEpFtYiIiIiFeVldQHncsUVVzBv3jx+//132rRpw5YtW/jhhx+YM2cOAPv27SMpKYmBAwc6XuPr60ufPn1Yu3YtY8aMKfW8eXl55OXlOR6np6dX6eeoO3bZb1sDnlYW4mZ6AHHAduBd4BHHMwkJCaSkuD5Ah4WF0ayZfmERERG5UG4dlp988knS0tJo164dnp6eFBYW8vzzz3PrrbcCkJRkzjAQERHh9LqIiAgOHDhQ5nlnzJjB008/XXWF10k5QHGbawiGMxvmzBjjgQ+BO4BQEhISiI1tR3Z2jsvfMSDAn/j4nQrMIiIiF8itw/LSpUtZvHgxS5YsoUOHDmzevJnx48cTHR3NqFGjHMfZbM7TkxmGUWLfmSZNmsSECRMcj9PT02natKnrP0CdsgcwgEZAA4trcUeXYy7QEo/ZuzyOlJQUsrNzWLz4TmJjo1z2TvHxiYwcuYCUlBSFZRERkQvk1mH5iSee4KmnnuKWW24BoGPHjhw4cIAZM2YwatQoIiMjAbOHOSrqdNhITk4u0dt8Jl9fX3x9fau2+DrF4PQQjDZWFuLGinuXHwM+AEY6nomNjaJLF4VaERERd+TWF/hlZ2fj4eFcoqenp2PquJYtWxIZGcnKlSsdz586dYo1a9bQq1evaq21bjsGpGKOU77I4lrcWW/MXyaygfcsrkVERETKw617locOHcrzzz9Ps2bN6NChA5s2bWL27NncddddgDn8Yvz48UyfPp2YmBhiYmKYPn06AQEBjBgxwuLq65LiXuWWgHrsy1Y8M8YTwPt4esZZXI+IiIicj1uH5VdeeYUpU6YwduxYkpOTiY6OZsyYMfz97393HDNx4kRycnIYO3Ysqamp9OjRgxUrVhAUFGRh5XVJAbDXfl8X9p1fH8zZQvYQHv6N1cWIiIjIebh1WA4KCmLOnDmOqeJKY7PZmDZtGtOmTau2uuRM+4B8IAhw3UVqtZcH5tjlp2jU6BuCg916JJSIiEidp5/UcoHOvLCv7BlI5ExXAa3w8srhoYfCrS5GREREzkFhWS5ABpBov69ZMMrPAzDH3U+YEIGHR4G15YiIiEiZ3HoYhri74rHKUUA9KwupFvHx8S48WxitW4fSoEEqOTkJQCsXnltERERcRWFZKskAdtvvx1hZSJVLTEzDZoORI0ee/+AKGDmyAe+805JGjfZhLlri7dLzi4iIyIVTWJZKOg6cxJxbuaW1pVSxkydzMAyYO3cYPXvGuuy8//vfVnbv3kdMjB/myn6dXHZuERERcQ2FZamk4l7l5oCPlYVUm9atG7l0pb34+CSef34dCxe2ALYC7dG3pIiIiHvRBX5SCUWcHq/c2spCarx33z1OdrYPkIPZuywiIiLuRGFZKuEwZrjzBZpYXEvNVlAAf/xRPD/1FsxFXkRERMRdKCxLJeyx316EOWZZLsSRIw0wZxPJ4fS81SIiIuIOFJalgvKB/fb7GoLhCobhAVxsf7QFKLSwGhERETmTwrJU0H7MoQLBgFafc522QCCQhXqXRURE3IfCslRQ8RCM1mh5a1fy5HTv8mbUuywiIuIeFJalArIxL+4DDcGoCm2BAMze5d3nOVZERESqg8KyVMBezJX7woEQi2upjbw43bu8CXOKPhEREbGSwrJUwJlDMKRqtAP8gUzgd4trEREREYVlKRc/v0wgBXOcciuLq6nN1LssIiLiThSWpVwaNEi032uK2fMpVScW9S6LiIi4B4VlKZfQ0OKwrCEYVe/s3mXNjCEiImIVhWU5r+7dA/D1zcEMcc2sLqeOOLN3WTNjiIiIWEVhWc7r5psb2O81A7ytLKUOUe+yiIiIO1BYlvMo4uabQ+33L7K0krpHvcsiIiJWU1iWcwoM3EuTJj4UFnoBTawup47xAi6x31fvsoiIiBUUluWcQkN/BeDkyXDM8CbVqx3mqn6aGUNERMQKCstyDgWEhm4AIDU10uJa6qozxy5vRr3LIiIi1UthWc5hI97eGRw/XkB6ekOri6nD1LssIiJiFYVlOYcVAPznP6noS8VKmhlDRETEKkpAUoZ84FsAli5NtbYU4XTvchbqXRYREak+CstShp+BdPLzg1mzJsPqYkS9yyIiIpZQWJYymEMwUlO7UVRkcSlid2bv8i6LaxEREakbFJalFHnAGsAMy+Iuzpx3eTPqXRYREal6CstSirWYvZcRZGW1sroYcdIWCES9yyIiItVDYVlKscJ+OxB9ibgbzbssIiJSnZSE5CzZwHf2+wOsLETKpN5lERGR6qKwLGf5AXPMchMg1uJapHTqXRYREakuCstylm/st1cDNisLkXNqh3qXRUREql6lwvK+fftcXYe4hVzgR/v9/lYWIuflifPMGAWWVSIiIlKbVSost27dmn79+rF48WJyc3NdXZNYZi1mYI7G7LkU96axyyIiIlWtUmF5y5YtdO7cmccee4zIyEjGjBnDL7/84urapNp9a7+9Cg3BqAnO7F3egnqXRUREXK9SYTkuLo7Zs2dz+PBhFixYQFJSEldccQUdOnRg9uzZHDt2zNV1SpXLA76337/KykKkQtS7LCIiUpUu6AI/Ly8vhg0bxgcffMDMmTPZu3cvjz/+OE2aNOGOO+4gMTHRVXVKlfsZM3CFA3EW1yLlp7HLIiIiVemCwvL69esZO3YsUVFRzJ49m8cff5y9e/fy7bffcvjwYW644QZX1SlVrngIRj80SUpNU9y7nA3stLgWERGR2sWrMi+aPXs2CxYsYNeuXQwePJi3336bwYMH4+FhhqyWLVvy+uuv066dLhKrGfKBNfb7mgWj5vEEOmPOkb0Fm62XxfWIiIjUHpUKy6+99hp33XUXd955J5GRkaUe06xZM+bPn39BxUnFJSQkkJKSUqHXBAXtICYmg/z8ILZtKwI2Op6Lj493cYVSNdoAm4AswsIOWV2MiIhIrVGpsLx79+7zHuPj48OoUaMqc3qppISEBGJj25GdnVOh173xRjNiYhrx1lt/MHZs91KPycjIdEWJUmVO9y5HROzDz0+zmYiIiLhCpcLyggULqFevHn/+85+d9n/44YdkZ2crJFskJSWF7OwcFi++k9jYqHK+qoiOHVcD+Vx99bVs2NDQ6dkvvtjGlCmfaT7tGqENsBkfn0zuvTfM6mJERERqhUqF5RdeeIF58+aV2B8eHs59992nsGyx2NgounRpVs6jD2OOWfYlJuZizr64Lz4+ycXVSdUpnhnjB556KpKjR09ZXI+IiEjNV6lpDw4cOEDLli1L7G/evDkJCQkXXJRUp/322+ZoFozaoA15eX5ER/sQFvb9+Q8XERGRc6pUOgoPD2fr1q0l9m/ZsoWGDRuW8gpxTwawz36/lZWFiMt4kpRk/ltGRv4Pc/lyERERqaxKheVbbrmFhx9+mFWrVlFYWEhhYSHffvstjzzyCLfccoura5QqcxTIAXyAaItrEVc5caIx+/fn4e2dDiy3uhwREZEarVJh+bnnnqNHjx70798ff39//P39GThwIFdddRXTp093dY1SZYp7lZthjneV2sAwPHjuueLVMxei3mUREZHKq1RY9vHxYenSpezcuZN3332XZcuWsXfvXv7973/j4+Pj6hqlSpw5BKPk+HOp2d5++wR5eQ2B48Ayq8sRERGpsSo1G0axNm3a0KZNG1fVItUqBcjC/BJoYnEt4mr5+QZJSYNp3vwdYBEwHPCzuCoREZGap1JhubCwkIULF/LNN9+QnJxMUVGR0/PffvutS4qTqnTAftuEC/ydSdzU8eM9ad78G+AI8BFwm8UViYiI1DyVSkmPPPIICxcu5LrrriMuLg6bTauF1TzFYbm5pVVIVfIC7gKeA94G/oR6l0VERCqmUmH5/fff54MPPmDw4MGurkeqRTpwArBhXtwntdcQYD6QCHwK/MXackRERGqYSl/g17p1a1fXItWmuFc5EvU01nZeQPGKmoswV2sUERGR8qpUWH7sscd4+eWXMQzD1fWUcPjwYUaOHEnDhg0JCAjgkksuYcOGDY7nDcNg2rRpREdH4+/vT9++fdmxY0eV11WzFYflFlYWIdVmKBCGOa/2FxbXIiIiUrNUahjGDz/8wKpVq/jf//5Hhw4d8Pb2dnp+2TLXTFWVmprK5ZdfTr9+/fjf//5HeHg4e/fupX79+o5jZs2axezZs1m4cCFt2rThueeeY8CAAezatYugoCCX1FG75AJJ9vsar1w3+AIjgTmY8y4PQfNqi4iIlE+lwnL9+vUZNmyYq2spYebMmTRt2pQFCxY49rVo0cJx3zAM5syZw+TJkxk+fDgAixYtIiIigiVLljBmzJgqr7HmScCcY7kBoF8m6o7hwALgILASuMbackRERGqISoXlM8NrVfr0008ZNGgQf/7zn1mzZg2NGzdm7Nix3HvvvQDs27ePpKQkBg4c6HiNr68vffr0Ye3atWWG5by8PPLy8hyP09PTq/aDuJX99tsWFtYg1S8AuBWYhxmaB1LJUVgiIiJ1SqV/WhYUFPD111/z+uuvk5GRAcCRI0fIzMx0WXF//PEHr732GjExMXz11Vfcf//9PPzww7z99tsAJCWZwwkiIiKcXhcREeF4rjQzZswgJCTEsTVt2tRlNbu3AuCw/b6GYNQ9NwOBwF7gO4trERERqRkqFZYPHDhAx44dueGGG3jwwQc5duwYYI4ffvzxx11WXFFREV26dGH69Ol07tyZMWPGcO+99/Laa685HXf2PM+GYZxz7udJkyaRlpbm2A4ePOiymt3bYczAHAg0tLgWqX5BnJ467t+Yw3FERETkXCq9KEm3bt3YsmULDRueDl3Dhg3jnnvucVlxUVFRtG/f3mlfbGwsH330EQCRkZGA2cMcFRXlOCY5OblEb/OZfH198fX1dVmdNcd++21zzDmWpTaLj48vsc/LK464OG88PH5j9+7FZGR0qNA5w8LCaNZMc3OLiEjdUenZMH788Ud8fHyc9jdv3pzDhw+X8aqKu/zyy9m1a5fTvt9//53mzc0hBC1btiQyMpKVK1fSuXNnAE6dOsWaNWuYOXOmy+qoHYowL+4DjVeu3RIT07DZYOTIkaU+P3t2Ex59NILExOfo0+f3Cp07IMCf+PidCswiIlJnVCosFxUVUVhYWGL/oUOHXDpd26OPPkqvXr2YPn06f/nLX/jll1944403eOONNwBz+MX48eOZPn06MTExxMTEMH36dAICAhgxYoTL6qgdkjGnjfMBos5zrNRkJ0/mYBgwd+4wevaMLfG8t3cuRUXf0bt3EDt3PkBWVmi5zhsfn8jIkQtISUlRWBYRkTqjUmF5wIABzJkzxym0ZmZmMnXqVJcugd29e3eWL1/OpEmTeOaZZ2jZsiVz5szhtttucxwzceJEcnJyGDt2LKmpqfTo0YMVK1ZojuUSihciaYpmQagbWrduRJcuZYXao8BO2rY9AlxcjVWJiIjULJUKyy+99BL9+vWjffv25ObmMmLECHbv3k1YWBjvvfeeSwscMmQIQ4YMKfN5m83GtGnTmDZtmkvft3Yx0JRx4uxiYBdwCDgGNLK2HBERETdVqbAcHR3N5s2bee+999i4cSNFRUXcfffd3Hbbbfj7+7u6RrlgJ4F0zB7lJtaWIm4iGLgI2ANswpx3WURERM5WqbAM4O/vz1133cVdd93lynqkShQPwYjGHLMsAnAJZlg+AJzAXNVRREREzlSpsFy8KEhZ7rjjjkoVI1WlOCxrIRI5UyjQEtgHbAausrQaERERd1TpeZbPlJ+fT3Z2Nj4+PgQEBCgsu5UczJkwADSDgZztEsyw/AfQFQixtBoRERF3U6lpEVJTU522zMxMdu3axRVXXOHyC/zkQh2y3zYA6llZiLilMMwZUgzM3mURERE5k8vmEIuJieGFF14o0essViteiES9ylKWzvbb3UCmlYWIiIi4HZdOuOvp6cmRI0dceUq5IEWc7llWWJayRGAuVGMAWyyuRURExL1Uaszyp59+6vTYMAwSExOZO3cul19+uUsKE1dIAk4BfmgeXTm3zkAi5tzLnYEAa8sRERFxE5UKyzfeeKPTY5vNRqNGjbjqqqv45z//6Yq6xCUO2m+boFX75NyigXDMi0G3AT2sLUdERMRNVCosFxUVuboOqRIaryzlZcOcGWMFEI+5wp+flQWJiIi4BXU31lrpmCv32dCqfVI+zTBnTckHdlhci4iIiHuoVM/yhAkTyn3s7NmzK/MWcsGKe5UjAV8rC5Eaw4Y5XvkbYDvQEa34KCIidV2lwvKmTZvYuHEjBQUFtG3bFoDff/8dT09PunTp4jjOZrO5pkqpBA3BkMpoAdTH/KvEb5hDM0REROquSoXloUOHEhQUxKJFiwgNDQXMhUruvPNOrrzySh577DGXFikV4+FRgDmzASgsS8V4YAbk1ZgX+nUAvC2sR0RExFqVGrP8z3/+kxkzZjiCMkBoaCjPPfecZsNwA0FBxzHnWA5GyxdLxV0EBAG5wE6LaxEREbFWpcJyeno6R48eLbE/OTmZjIyMCy5KLkxIyDH7vaaY41BFKqK4dxlgK1BgXSkiIiIWq1RYHjZsGHfeeSf/+c9/OHToEIcOHeI///kPd999N8OHD3d1jVIBNtuZYVlDMKSyYoBAIBv43eJaRERErFOpMcvz5s3j8ccfZ+TIkeTn55sn8vLi7rvv5sUXX3RpgVIxnTsH4O19CvOfNsrqcqTG8gQ6Aeswl8BuZ205IiIiFqlUWA4ICODVV1/lxRdfZO/evRiGQevWrQkMDHR1fVJBQ4YUj1Fughl4RCqrHbAZyAT2oEVKRESkLrqgRUkSExNJTEykTZs2BAYGYhiGq+qSSrruuuKw3NTSOqQ28MKcaxlgE6DvbxERqXsqFZaPHz9O//79adOmDYMHDyYx0Zym7J577tG0cRby8krj0kuLe/c1XllcIRZzUZt0QkOTrC5GRESk2lUqLD/66KN4e3uTkJBAQECAY//NN9/Ml19+6bLipGKCg80lirOygoGAcx8sUi4+QBwAkZF/oHWGRESkrqnUmOUVK1bw1Vdf0aRJE6f9MTExHDhwwCWFScUVh+X09DA0fFxcpwOwFX//TK6/XvN2i4hI3VKpnuWsrCynHuViKSkp+Pr6XnBRUhmFBAf/BphhWcR1fDEDM/ztb1Fo7LKIiNQllQrLvXv35u2333Y8ttlsFBUV8eKLL9KvXz+XFScVEY+XVxZpaYVkZan3T1wtjsJCT7p1C3T8BUNERKQuqNQwjBdffJG+ffuyfv16Tp06xcSJE9mxYwcnTpzgxx9/dHWNUi4/AfDNN+m0aHFBk5yIlMKflJQmREQcIDLyv8DtaHVIERGpCyqVqtq3b8/WrVu59NJLGTBgAFlZWQwfPpxNmzZx0UUXubpGKZd1AHz5ZbrFdUhtlZzcgry8IurV2wtssLocERGRalHhnuX8/HwGDhzI66+/ztNPP10VNUmFZQDbAfjqq3Tuv9/aaqR2ys/3Y/78FMaODQfeArpZXZKIiEiVq3DPsre3N9u3b8emOaTcyC9AIbm5ESQknLK6GKnFZs48SlGRJ7Ae2Gh1OSIiIlWuUsMw7rjjDubPn+/qWqTSzPHK6elxFtchtV1CwimOH7/c/ugNS2sRERGpDpW6wO/UqVO89dZbrFy5km7duhF41qS+s2fPdklxUh4GxeOV09PbW1uK1AlJSdfSqNFazN7lDUBXiysSERGpOhUKy3/88QctWrRg+/btdOnSBYDff//d6RgNz6hu+4EkwIeMjDYW1yJ1QX5+Q+AG4CPM3uXXrS1IRESkClUoLMfExJCYmMiqVasAc3nr//u//yMiIqJKipPyWGe/vQTD0IIwUl3uBD7B7Flejy72ExGR2qpCY5YNw3nlrv/9739kZWW5tCCpqJ/st70srULqmkjgRvt9jV0WEZHa64JWrzg7PEt1y+X0fLeXWVmI1EmjAW/MWTHWW1uKiIhIFalQWLbZbCXGJGuMspU2A3lAOKDFYKS6nd27rF+eRUSk9qnQmGXDMBg9ejS+vubY2NzcXO6///4Ss2EsW7bMdRXKORSPV74MLT0s1hgNfIzZu7wBjV0WEZHapkJhedSoUU6PR44c6dJipKKKw3JPS6uQuiwCGAZ8gDkrRlf0i5uIiNQmFQrLCxYsqKo6pMKSgD8wR9JcanEtUreNxuxd3gT8ir4eRUSkNrmgC/zESsWzYLQHQqwsROq8cGC4/f6raOyyiIjUJgrLNVZxWNYQDHEHdwJ+wHZgjcW1iIiIuI7Cco1UAPxiv6+wLO6gIXCr/f5rQKGFtYiIiLiOwnKN9BuQDgRhDsMQcQe3Y35N7gW+srgWERER11BYrpGKZ8HoQQWv0RSpQsHAHfb7rwP5FtYiIiLiGgrLNVLxeGWt2ifu5hbMIRmHgU8srkVEROTCKSzXOGnADvt9jVcWd+MP3GW//xbmkuwiIiI1l8JyjfMLUAS0wlwQQsTdDAeigRRgqcW1iIiIXBiF5RpHq/aJu/MG7rPfXwRkWliLiIjIhdHVYRZJSEggJSWlgq8yiIv7Dh8f2L07jIyMjU7PxsfHu65AkQtyLWZQ3gcsBu63thwREZFKUli2QEJCArGx7cjOzqnQ6zp08GP79g7k5BTRqdMocnNLXyktI0M9eWI1T+ABYCLwLnATEGZpRSIiIpWhsGyBlJQUsrNzWLz4TmJjo8r9uvDw/cAuTp0K58cfJ5V4/osvtjFlymfk5uqiKnEH/YAOmBekvgH81dpyREREKkFh2UKxsVF06dKsAq/YDkBISOtSXxcfn+SiykRcwQaMB+4FPsacVq6VhfWIiIhUnC7wqzEKgOIw3MTKQkQqoDPQF3MGl1esLUVERKQSFJZrjESgEAgE6ltbikiFjMMcw/w98KvFtYiIiFSMwnKNcch+2xTzz9siNUULzLmXAeZg9jKLiIjUDArLNUZxWNYQDKmJ7sP8q8gu4EuLaxERESm/GhWWZ8yYgc1mY/z48Y59hmEwbdo0oqOj8ff3p2/fvuzYsaPsk9RIGcBJzB7laGtLEamUUGC0/f6/0DLYIiJSU9SYsPzrr7/yxhtv0KlTJ6f9s2bNYvbs2cydO5dff/2VyMhIBgwYQEZGhkWVVoXiXuVwwNfKQkQuwK2YS7QfBd63uBYREZHyqRFhOTMzk9tuu40333yT0NBQx37DMJgzZw6TJ09m+PDhxMXFsWjRIrKzs1myZEmZ58vLyyM9Pd1pc28agiG1gR8w1n5/AZBqYS0iIiLlUyPC8oMPPsh1113H1Vdf7bR/3759JCUlMXDgQMc+X19f+vTpw9q1a8s834wZMwgJCXFsTZs2rbLaL1wRcNh+X2FZarprgbZAFuZCJSIiIu7N7cPy+++/z8aNG5kxY0aJ55KSzHmHIyIinPZHREQ4nivNpEmTSEtLc2wHDx50bdEulQzkYw6/0HLBUtN5YC5UArAM2GNdKSIiIuXg1iv4HTx4kEceeYQVK1bg5+dX5nE2m/NUaoZhlNh3Jl9fX3x9a8rY3zOHYLj97zYi5dAdcynsVcA/gVfRdIgiIuKu3Dosb9iwgeTkZLp27erYV1hYyHfffcfcuXPZtWsXYPYwR0VFOY5JTk4u0dtcc2m8stRG44EfgV85duwDDh6Mcfk7hIWF0axZRZaTFxERKcmtw3L//v3Ztm2b074777yTdu3a8eSTT9KqVSsiIyNZuXIlnTt3BuDUqVOsWbOGmTNnWlGyi+UCx+z3G1tZiIiLNQZuB+aTnf08l1++ndxcw6XvEBDgT3z8TgVmERG5IG4dloOCgoiLi3PaFxgYSMOGDR37x48fz/Tp04mJiSEmJobp06cTEBDAiBEjrCjZxYp7lRtgLuggUpuM5tSpZTRvnspPP11LYeElLjtzfHwiI0cuICUlRWFZREQuiFuH5fKYOHEiOTk5jB07ltTUVHr06MGKFSsICgqyujQX0BAMqc38OXz4T7Rs+RYdOx7Dw6MBUM/qokRERJzUuLC8evVqp8c2m41p06Yxbdo0S+qpOgYKy1LbpaZ25+DBl+jdOwj4GehvdUkiIiJONL2C2zoB5GD+PhNpcS0iVcXGww8fxDAA/gASLa5HRETEmcKy2yruVY4CPK0sRKRKbdmSQ0pK8V9P1mIuxCMiIuIeFJbdloZgSN1x5EgM4IP5F5WdFlcjIiJymsKyW8oHilcgVFiW2q+w0AfoZn/0K5BtYTUiIiKnKSy7pSOYf4oOAkIsrkWkusRiLul+CvNiPxEREevVuNkw6oYzh2BoGWBxL/Hx8VV0Lg/gCuBjYA/QFoh22XuJiIhUhsKyW9J4ZXE/iYlp2GwwcuRIl587IyPTfq8R0B74DXM57OHoAlcREbGSwrLbSbdvNtSrJu7k5MkcDAPmzh1Gz56xLjnnF19sY8qUz8jNzT1jbzdgH3AS2Ap0dsl7iYiIVIbCstsp7lWOwJwdQMS9tG7diC5dXLOEdHx8Uil7fYHLgFXAJuAiINgl7yciIlJRusDP7WgIhogZkKOBQsy5lw1ryxERkTpLYdmtFGLOhAEKy1K32YDLMf+LOgjst7QaERGpuxSW3Uoy5hzLfphTaInUZfWBTvb76zCnlBMREaleCstuRVPGiTjrjDnfeBbmYiUiIiLVS2HZrWi8sogzL+BK+/3fgKMW1iIiInWRwrLbyAZS7PcbW1mIiJtpDLSx3/8Oc2y/iIhI9VBYdhuH7bcNgQArCxFxQz0Af8y5lzdbWomIiNQtCstu46D9tqmlVYi4Jz+gl/3+ZuCEdaWIiEidorDsForQeGWR82kJNMf8fvnefisiIlK1FJbdwjEgD3PFvgiLaxFxV8VzL3tjTrP4m7XliIhInaCw7BaKe5Ubo38SkXMJxBy/DOZUchkW1iIiInWBkplb0HhlkfJrB0QCBZjDMbQUtoiIVB2FZcvlYA7DAI1XFikPG9Ab8MScRSbe2nJERKRWU1i2XPEQjAaYf2IWkfMLAS613/8ZSLewFhERqc0Uli2nIRgildMBiMIcjrEazY4hIiJVQWHZUgane5YVlkUqxgb0wZwd4yiw3dpyRESkVlJYtlBAQBrmlHHeaMo4kcoIAi6z318PpFpYi4iI1EYKyxYKCUmx32uC/ilEKqst5vdQIRqOISIirqaEZqHg4DPDsohUTvHsGD5ACuZy2CIiIq6hsGyRsDAv+zAM0HhlkQsViLm6H8Am/P01O4aIiLiGwrJFBg4MxmYDTRkn4ioXAS2AIlq23EJgoP57ExGRC6efJha59tpg+z31Kou4hg24EgjEzy+bl1/W95aIiFw4hWVLFDFokMKyiOv5Af0wDLj77jBCQ3+xuiAREanhFJYtEBBwgEaNvCks9EJTxom4WhRJSa0AaNZsMeaS2CIiIpWjsGyB4GBz8YT09Abon0DE9RITL+LHHzPx9MwFJmOu8iciIlJxSmoWCAkpDsuNLK5EpLbyYMSIfRQU+GOu7Pe61QWJiEgNpbBc7U4SELAfgPT0MGtLEanFEhJOkZBwh/3RQkDjl0VEpOIUlqtdMDt3/pUHHjhAfr6f1cWI1GonT3YFhgEGMAVz0RIREZHyU1iudh7k5DRn3jz90BapHo8BrYDjwF/R+GUREakIhWURqeX8gFmYi/9sBP5lbTkiIlKjKCyLSB3QAvi7/f47wDfWlSIiIjWKwrKI1BH9gdvt958G9lhYi4iI1BQKyyJShzwIXApkY45lPmlpNSIi4v4UlkWkDvECpgNNMFf2exJd8CciIueisCwidUx9YDbmBX8bgJmYU8uJiIiUpLAsInVQK+A5wAYsx1y0REREpCSFZRGpo64EHrff/xfwPwtrERERd6WwLCJ12M3ASPv9p4FfLaxFRETckcKyiNRxDwNXY17oNwHYbm05IiLiVhSWRaSO88DsVb4UyMEMz7strUhERNyHwrKICL7AP4BOQDowDthvZUEiIuImFJZFRAAIAOYAbYDjwBjgDysLEhERN6CwLCLiEIw5M0YMpwOzhmSIiNRlCssiIk5CgdeAdkAqcD+wzdKKRETEOgrLIiIl1McMzB2ANMzAvMbKgkRExCIKyyIipQrCDMy9gDzgCeA/llYkIiLVz63D8owZM+jevTtBQUGEh4dz4403smvXLqdjDMNg2rRpREdH4+/vT9++fdmxY4dFFYtI7RIAzAauB4qAF4CZQL6VRYmISDVy67C8Zs0aHnzwQX766SdWrlxJQUEBAwcOJCsry3HMrFmzmD17NnPnzuXXX38lMjKSAQMGkJGRYWHlIlJ7eAFTMIdiAHwIPIB5AaCIiNR2XlYXcC5ffvml0+MFCxYQHh7Ohg0b6N27N4ZhMGfOHCZPnszw4cMBWLRoERERESxZsoQxY8ZYUbaI1Do24B7MaeWmAJuBEZiLmVxmXVkiIlLl3Lpn+WxpaWkANGjQAIB9+/aRlJTEwIEDHcf4+vrSp08f1q5dW+Z58vLySE9Pd9pERM6vN7AIaIXZszwOeBk4ZWVRIiJShWpMWDYMgwkTJnDFFVcQFxcHQFJSEgARERFOx0ZERDieK82MGTMICQlxbE2bNq26wkWklmkBvA3cZH/8DnA7ml5ORKR2qjFhedy4cWzdupX33nuvxHM2m83psWEYJfadadKkSaSlpTm2gwcPurxeEanN/ICnMJfIrg/sBe4CZgGZ1pUlIiIu59Zjlos99NBDfPrpp3z33Xc0adLEsT8yMhIwe5ijoqIc+5OTk0v0Np/J19cXX1/fqitYROqIvsAlwEvAf4EPgJWYK//dSHn/i01ISCAlJcXl1YWFhdGsWTOXn1dEpC5x67BsGAYPPfQQy5cvZ/Xq1bRs2dLp+ZYtWxIZGcnKlSvp3LkzAKdOnWLNmjXMnDnTipJFpM6pj3mh37XAi8ABzCnmPsCcQaMv5/ojXkJCArGx7cjOznF5ZQEB/sTH71RgFhG5AG4dlh988EGWLFnCJ598QlBQkGMcckhICP7+/thsNsaPH8/06dOJiYkhJiaG6dOnExAQwIgRIyyuXkTqlsuApZgLl7wJ/AFMBFpjzqTRD/As8aqUlBSys3NYvPhOYmOjSjxfWfHxiYwcuYCUlBSFZRGRC+DWYfm1114DoG/fvk77FyxYwOjRowGYOHEiOTk5jB07ltTUVHr06MGKFSsICgqq5mpFRLyAW4DBwBLgPWAP5vjmxsDNmAuc1CvxytjYKLp0UagVEXE3bh2WDcM47zE2m41p06Yxbdq0qi9IRKRcgjGHYIzADMwfAIcxVwN8DbgaGAp0tqpAEREpJ7cOyyIiNVsw5sV+o4AvMIPzPuAz+9aEyMiuNGnibV2JIiJyTgrLIiJVzg8YDgwDtgKfYs6acYjo6EMcONCRrKxfgAzMeZwDrSpURETOorAsIlJtbMDF9u1x4BsyMpYQFPQ7QUGpwFr7FgG0tG8lxzeLiEj1qTGLkoiI1C7+wBB2736c5s23cehQW8yQDHAU+Alz2MYnmL3R6daUKSJSx6lnWUTEYgkJp0hObkGTJs0wVwDcjzm2OQlItm8/A40we5tbAZrxR0SkOigsi4i4lXpAnH3LxgzOf2AG52P27RfM4NwKMzyXHZzj4+NdXqFWBhSRukRhWUTEbQUA7e1bDmZv89nB+WcgHDM0X0TxxYGJiWnYbDBy5EjXV6WVAUWkDlFYFhGpEfw5HZzP7HFO5PRQjV8wFz9pQ0ZGFoYBc+cOo2fPWJdVoZUBRaSuUVgWEalxzuxxzsbscd6LeWHgIeAQw4d7MG9eMy6+2J8uXZpizsQhIiIVpbAsIrVWVYzXzcvLw9fX12Xnu/AaA4AO9i0N2A3sxscnkzFjGgG7MHud2wOtAZ8LfD8RkbpFYVlEap2qHK9rs4FhuPy0ZGRkuuAsIUA3oCtff72Kw4d/YeTIMDw9U4EfMcc3twZigTAXvJ+ISO2nsCwitc7JkzlVMl73iy+2MWXKZy49b/E5c3NzXXI+k42jR+sxevR+mjS5iv79A4B44CSw076FY8640RJNuS8iUjaFZRGptVq3bkSXLq67CC0+Psnl5y0+Z1UpKPDCDMUdMGfRiMcc45wMfIs5e0YHoB3guuElIiK1hcKyiEidYAOi7Fs2ZmiOB7IwZ9HYCMRgBuv61pQoIuKGFJZFROqcAKArcDHm9HPbgBOcDtBNMUNzYzSLhojUdQrLIiJ1lhfQBrNHORHYDhwADtq3UMzQ3Br9uBCRukr/+4mI1Hk2INq+pQE7MKecSwW+xxymEWvfRETqFoVlERE5QwjQC3OYxi7M4JwJbAa20LJlOL171wOqYP48ERE3pLAsIiKl8AU6YQ7DOIAZmhMJDT3KmjVtycl5BhgNXAv4WValiEhV0+SaIiJyDh6YczEPAf7EsWNNyMoqxN//MPA8MBh4GXOZbRGR2kdhWUREyqkBBw92oEmTbRw69GfM2TLSgXeAG4H7gM+BHOtKFBFxMYVlERGpkJMnC0lOHgAsA17CHONsw5yreRowCHgGc5xzkTVFioi4iMYsi4hIhcXHx9vvBQKj8fa+gQYN1tGw4Y/4+R0DPgU+5dSpUE6e7MzJk13IzGxNWX00YWFhNGvmutUWq1pCQgIpKSkuPWdNawORukJhWUREyi0xMQ2bDUaOHFnmMVdcUY+77mrITTeFEhSUSnj4t4SHf8vRo/ksX36Sjz8+yfffZ5KdfbrXOSDAn/j4nTUiLCYkJBAb247sbNcON6lJbSBSlygsi4hIuZ08mYNhwNy5w+jZ89zzLu/ZU0hw8HHq1z9KSEgyERFw//2NuP/+RhQV2cjKqk9GRgO2b4chQz4kJSWlRgTFlJQUsrNzWLz4TmJjo1xyzvj4REaOXFBj2kCkLlFYFhGRCmvduhFdupQn1LW03xYCR4D9wEE8PLIICkolKCiV6GhITb2YoqJ/YM7v3BZoB7TgQn9MVcVwieIhKLGxUeVsAxGpyRSWRUSkGngCTe2bgTmLxhHgCPn5BwkMBPjdvhXzAS4CmmDOvFG8ymBjIML+fNmqarhEsYyMzCo5r4i4F4VlERGpZjbMlQJDgFi2bTvAqFEv8dlnL9KiRS7myoG/A1lAvH0rTSBQ336eUPv9IPv+AOAEN9zgx333DSY6uhGFhV4UFnpRVORJYaEXhuFhr6VivvhiG1OmfEZubm6FXysiNY/CsoiIWMzG9u25nDjRixYtutj3FQGHgT322yNnbIeBPMwwnWV/XFKzZrBkSSvMoR/7SznCA/C2bz5l3AZghu9AoB4QQHx80gV9WhGpWRSWRUTEDXlwetjG2QwgAzh5xpZqv82kOESfPHmE9evX0LNnEwIDbUD+GRuYgTzPvpXfsGHerFwZQ5s2CZjLgtfH7N0OpDI91SLi3hSWRUSkhrEBwfat7Avs/vhjIwMGvMWGDX8+60K8IqAAOIUZnItv88/adwrIxgzfmfb7RQQE5HP11cHAMftWzAcIs2+N7LdBKECL1GwKyyIiUsd4YAbbc18gWJIB5PDVVz/z3ntf8/e/96BVKz/MHu10zHBdPFSkmC8QDkTat0aYFzuKSE2hsCwiIlIuNiCAlJRAFi06zq23NqFVq+Ix1oWYQ0FSMHubU4ATmEM8Dto3MINyIyAKc2aPCBSeRdybwrKIiMgF8+T0EIx29n2FmIE56Ywt94z7m+yviyI8PICLL/bHHCIiIu5EYVlERKRKFPciNwI6Yg7jSMMMysXDNXKAQzRpAps3tyc//3GgJ9ADuBSz91lErKSwLCIiUi1smDNn1MfsfTYwh24cJi1tL56eSdSrlwmstG9gLshyqX3rZn+tiFQnhWURERFL2IAGQAP27g3hsstmsG3be7RtexL4BdgOHLJvy+zHt+F0eL4E8LegbpG6RWFZRETEDeTnG2RlxQBdgDGY09VtAn7GDM9/YK5uuAt4B/NHeCdOh+f26Me6iOvpu0pERMQt1QOutG9gzrCxHjM8/4o59nmjfZuHuShKF8zg3B24CM3xLHLhFJZFRMQtxMfHu/X5rBcGXGPfDMzhGcXBeT3mxYPf2zeAhkBXTpxoQVJSNLm5UbgyPIeFhdGsWdmLwojUFgrLIiJiqcTENGw2GDlyZJWcPyMjs0rOay0bp5cDvwlzyrnfMYdr/II5fOM4sIIGDaBBAzh2LJ/vv89kzZpMvvsug61bcyi6gJnqAgL8iY/fqcAstZ7CsoiIWOrkyRwMA+bOHUbPnrEuO+8XX2xjypTPyM3Nddk53ZcH5gwb7YA7MFcT3MqRI1/w22+L6ds3hEaNvBk+PJThw0MBKCjwIisrlIyMUDIzQ8nODraf5/zi4xMZOXIBKSkpCstS6yksi4iIW2jduhFdurgueMXHJ7nsXDWPD9CNpCQPBgyYysaNT9G5sz+QSPGiKF5e+YSEHCMk5Jj9NV6YKwpGYq4w2AjFBBF9F4iIiNR6huGBGYQj7HuKMIdpJHE6QOcBh+0bOC/NHQWEA97VV7SIm1BYFhERqXM8KLm6YCqng3Mi5uqCZy7NbbMfH0lIiCf163taULdI9VNYFhERcRPWzQhyeoEU6IDz0tyJ9i0LSAaSuegiOH78YtLS/kpychxZWTFkZsaQn1//gurVDBvijhSWRURELOZ+M4KcvTQ3QAbF4Tkz8wD16uUSGpoCrLZvsGdPLt9/n8l332Xy/feZ7N2bV6F31Qwb4o4UlkVERCxWM2YECbJvMXzyyS9MmPA2Cxf2p2vXAOrVS8XfP4PWrf1o3dqPO+8MA+DUKV/HjBtZWaHk5NSjrLmeNcOGuCuFZRERETdRk2YESU4uwMOjOeHhXex7TgFHOT104xg+Pnn4+CQRGlpchw/mbBvFW0MURcTd6StUREREXMCH0wulABQAxzh90eBRzECdYN/AvNCwARBGw4aedOzoDxRWZ9Ei56WwLCIiIlXAi9PTzkHJ6eqOArlACpBC8+awdWt7CgsfAWKB9pjjpVsDLQDfaq1epJjCsoiIiFSD0qary8TsfT5GRsYhDOMYwcGngC32rZgnZo91a+AioDmne7HrVdsnkLpJYVlEREQsYOP0RYOt2L07im7dprN9++e0b28AvwF77Fs6sN++fX3WeUIxQ3MTzHHQxYuvFI+LrrownZCQQEpKikvPqenz3I/CsoiIiLgFw4Dc3CigCzCkeC/mUI29mMF5L3DQvh3HXEwlFdhaxln9MAN1aVsDzOnxgjBDdfGtP2XN2lEsISGB2Nh2ZGfnVPyDnoOmz3M/CssiIiLixopXDmwEXHbWc5nAIczgfJjTs3EctW9pmOOiixdWKS9PzNB89nY6VHt4nOSWWwIYPfoaIiMbUVTkRWGhF4WFnhQWelFU5MX5AvfZNH2ee1JYFhEREbdRuVUMG9o3ZzZbHt7eGRjGcQICcvHyyrBvmXh5pePtbd739MzG0zMHT88cbLYizBk50uxb6Zo0gfnzW+A8u8fZvDBnCfEu121wsCdXXlkPf/+DQDhmMA+0P39hqmLICNSNYSO1Jiy/+uqrvPjiiyQmJtKhQwfmzJnDlVdeaXVZIiIiUg5VuYqhzWYO8SiPgAAPQkI8qV/fk5AQzzLv16/vSVCQJ717N6N+fW8gH3NqvHxOT39XYN/Kp3Vr+O67tsCzZz3jgxmaz97qlWv/4cPH6d27D2lpOZw6ZXDqVBEF5S/rnOrCsJFaEZaXLl3K+PHjefXVV7n88st5/fXXufbaa/ntt99q9T+eiIhIbVHVqxhW1Xm//LI/gwZ1OevZQpzD86mz7pd+m5WVycGDybRqFYGPzymgeDx08etTK1Vr48awf3/bEvuLimwYhgeGca7b0/fBdsY+G+npebz99q5aP2ykVoTl2bNnc/fdd3PPPfcAMGfOHL766itee+01ZsyYYXF1IiIiUl5VtYph9a6O6Gnf/Cp0zl27EujadTobNrxNly5dMHulc4AszPHZWWdtpe0r+ZxhZNuHlzjz8DC4kEVg6teHPn1q/9R9NT4snzp1ig0bNvDUU0857R84cCBr164t9TV5eXnk5eU5HqelmWOS0tPTq67QM2RmZgKwYcMBMjPzznN0+cXHHwFg27Yj+PsHue05a9p5a1KtNe28NanWqjpvTaq1qs5bk2qtqvPWpFqr6rw1qdaqOu+uXWYA37BhgyMrlM7XvjUo53l3cd999/HmmyNo164RNpuBzVZ01q1R6n44e//pfcnJacyevYeJEzOrJUMVv4dR3jE1rmLUcIcPHzYA48cff3Ta//zzzxtt2rQp9TVTp041/6W1adOmTZs2bdq01ajt4MGD1RExHWp8z3Ixm815ehbDMErsKzZp0iQmTJjgeFxUVMSJEydo2LBhma85l/T0dJo2bcrBgwcJDg6u8OulJLWp66lNq4ba1fXUpq6nNq0aalfXO1ebGoZBRkYG0dHR1VpTjQ/LYWFheHp6kpTkPHYoOTmZiIiIUl/j6+uLr6/zGvP169e/4FqCg4P1zeJialPXU5tWDbWr66lNXU9tWjXUrq5XVpuGhIRUey0e1f6OLubj40PXrl1ZuXKl0/6VK1fSq1cvi6oSERERkdqgxvcsA0yYMIHbb7+dbt260bNnT9544w0SEhK4//77rS5NRERERGqwWhGWb775Zo4fP84zzzxDYmIicXFxfPHFFzRv3rxa3t/X15epU6eWGNohlac2dT21adVQu7qe2tT11KZVQ+3qeu7YpjbDqO75N0REREREaoYaP2ZZRERERKSqKCyLiIiIiJRBYVlEREREpAwKyyIiIiIiZaiTYXnGjBl0796doKAgwsPDufHGG9m1a5fTMYZhMG3aNKKjo/H396dv377s2LHD6Zi8vDweeughwsLCCAwM5Prrr+fQoUNOx6SmpnL77bcTEhJCSEgIt99+OydPnnQ6JiEhgaFDhxIYGEhYWBgPP/wwp06dqpLPXl1mzJiBzWZj/Pjxjn1q04o7fPgwI0eOpGHDhgQEBHDJJZewYcMGx/Nq04orKCjgb3/7Gy1btsTf359WrVrxzDPPUFRU5DhG7Xpu3333HUOHDiU6OhqbzcbHH3/s9Ly7td+2bdvo06cP/v7+NG7cmGeeeQZ3u7b9XG2an5/Pk08+SceOHQkMDCQ6Opo77riDI0eOOJ1DbVrS+b5WzzRmzBhsNhtz5sxx2q92dVaeNo2Pj+f6668nJCSEoKAgLrvsMhISEhzP17g2rdbFtd3EoEGDjAULFhjbt283Nm/ebFx33XVGs2bNjMzMTMcxL7zwghEUFGR89NFHxrZt24ybb77ZiIqKMtLT0x3H3H///Ubjxo2NlStXGhs3bjT69etnXHzxxUZBQYHjmGuuucaIi4sz1q5da6xdu9aIi4szhgwZ4ni+oKDAiIuLM/r162ds3LjRWLlypREdHW2MGzeuehqjCvzyyy9GixYtjE6dOhmPPPKIY7/atGJOnDhhNG/e3Bg9erTx888/G/v27TO+/vprY8+ePY5j1KYV99xzzxkNGzY0Pv/8c2Pfvn3Ghx9+aNSrV8+YM2eO4xi167l98cUXxuTJk42PPvrIAIzly5c7Pe9O7ZeWlmZEREQYt9xyi7Ft2zbjo48+MoKCgox//OMfVddAlXCuNj158qRx9dVXG0uXLjV27txprFu3zujRo4fRtWtXp3OoTUs639dqseXLlxsXX3yxER0dbbz00ktOz6ldnZ2vTffs2WM0aNDAeOKJJ4yNGzcae/fuNT7//HPj6NGjjmNqWpvWybB8tuTkZAMw1qxZYxiGYRQVFRmRkZHGCy+84DgmNzfXCAkJMebNm2cYhvmfl7e3t/H+++87jjl8+LDh4eFhfPnll4ZhGMZvv/1mAMZPP/3kOGbdunUGYOzcudMwDPOLzsPDwzh8+LDjmPfee8/w9fU10tLSqu5DV5GMjAwjJibGWLlypdGnTx9HWFabVtyTTz5pXHHFFWU+rzatnOuuu8646667nPYNHz7cGDlypGEYateKOvuHpbu136uvvmqEhIQYubm5jmNmzJhhREdHG0VFRS5sCdc5V6gr9ssvvxiAceDAAcMw1KblUVa7Hjp0yGjcuLGxfft2o3nz5k5hWe16bqW16c033+z4/7Q0NbFN6+QwjLOlpaUB0KBBAwD27dtHUlISAwcOdBzj6+tLnz59WLt2LQAbNmwgPz/f6Zjo6Gji4uIcx6xbt46QkBB69OjhOOayyy4jJCTE6Zi4uDiio6MdxwwaNIi8vDynP7fXFA8++CDXXXcdV199tdN+tWnFffrpp3Tr1o0///nPhIeH07lzZ958803H82rTyrniiiv45ptv+P333wHYsmULP/zwA4MHDwbUrhfK3dpv3bp19OnTx2mBg0GDBnHkyBH279/v+gaoJmlpadhsNurXrw+oTSurqKiI22+/nSeeeIIOHTqUeF7tWjFFRUX897//pU2bNgwaNIjw8HB69OjhNFSjJrZpnQ/LhmEwYcIErrjiCuLi4gBISkoCICIiwunYiIgIx3NJSUn4+PgQGhp6zmPCw8NLvGd4eLjTMWe/T2hoKD4+Po5jaor333+fjRs3MmPGjBLPqU0r7o8//uC1114jJiaGr776ivvvv5+HH36Yt99+G1CbVtaTTz7JrbfeSrt27fD29qZz586MHz+eW2+9FVC7Xih3a7/Sjil+XFPbODc3l6eeeooRI0YQHBwMqE0ra+bMmXh5efHwww+X+rzatWKSk5PJzMzkhRde4JprrmHFihUMGzaM4cOHs2bNGqBmtmmtWO76QowbN46tW7fyww8/lHjOZrM5PTYMo8S+s519TGnHV+YYd3fw4EEeeeQRVqxYgZ+fX5nHqU3Lr6ioiG7dujF9+nQAOnfuzI4dO3jttde44447HMepTStm6dKlLF68mCVLltChQwc2b97M+PHjiY6OZtSoUY7j1K4Xxp3ar7Raynqtu8vPz+eWW26hqKiIV1999bzHq03LtmHDBl5++WU2btxY4brVrqUrvlD6hhtu4NFHHwXgkksuYe3atcybN48+ffqU+Vp3btM63bP80EMP8emnn7Jq1SqaNGni2B8ZGQmU/K0jOTnZ8RtJZGQkp06dIjU19ZzHHD16tMT7Hjt2zOmYs98nNTWV/Pz8Er8NubMNGzaQnJxM165d8fLywsvLizVr1vB///d/eHl5lfmbnNq0bFFRUbRv395pX2xsrOOKYn2dVs4TTzzBU089xS233ELHjh25/fbbefTRRx1/EVG7Xhh3a7/SjklOTgZK9n67u/z8fP7yl7+wb98+Vq5c6ehVBrVpZXz//fckJyfTrFkzx8+tAwcO8Nhjj9GiRQtA7VpRYWFheHl5nfdnV01r0zoZlg3DYNy4cSxbtoxvv/2Wli1bOj3fsmVLIiMjWblypWPfqVOnWLNmDb169QKga9eueHt7Ox2TmJjI9u3bHcf07NmTtLQ0fvnlF8cxP//8M2lpaU7HbN++ncTERMcxK1aswNfXl65du7r+w1eR/v37s23bNjZv3uzYunXrxm233cbmzZtp1aqV2rSCLr/88hJTGv7+++80b94c0NdpZWVnZ+Ph4fxfn6enp6NHRO16Ydyt/Xr27Ml3333nNJ3UihUriI6OdgSimqA4KO/evZuvv/6ahg0bOj2vNq2422+/na1btzr93IqOjuaJJ57gq6++AtSuFeXj40P37t3P+bOrRrZpuS8FrEUeeOABIyQkxFi9erWRmJjo2LKzsx3HvPDCC0ZISIixbNkyY9u2bcatt95a6tRHTZo0Mb7++mtj48aNxlVXXVXq1CedOnUy1q1bZ6xbt87o2LFjqVOf9O/f39i4caPx9ddfG02aNHH7qaPK48zZMAxDbVpRv/zyi+Hl5WU8//zzxu7du413333XCAgIMBYvXuw4Rm1acaNGjTIaN27smDpu2bJlRlhYmDFx4kTHMWrXc8vIyDA2bdpkbNq0yQCM2bNnG5s2bXLMzOBO7Xfy5EkjIiLCuPXWW41t27YZy5YtM4KDg91uOq5ztWl+fr5x/fXXG02aNDE2b97s9HMrLy/PcQ61aUnn+1o929mzYRiG2vVs52vTZcuWGd7e3sYbb7xh7N6923jllVcMT09P4/vvv3eco6a1aZ0My0Cp24IFCxzHFBUVGVOnTjUiIyMNX19fo3fv3sa2bduczpOTk2OMGzfOaNCggeHv728MGTLESEhIcDrm+PHjxm233WYEBQUZQUFBxm233WakpqY6HXPgwAHjuuuuM/z9/Y0GDRoY48aNc5rmpKY6OyyrTSvus88+M+Li4gxfX1+jXbt2xhtvvOH0vNq04tLT041HHnnEaNasmeHn52e0atXKmDx5slPoULue26pVq0r9P3TUqFGGYbhf+23dutW48sorDV9fXyMyMtKYNm2a203Fda423bdvX5k/t1atWuU4h9q0pPN9rZ6ttLCsdnVWnjadP3++0bp1a8PPz8+4+OKLjY8//tjpHDWtTW2G4WZLw4iIiIiIuIk6OWZZRERERKQ8FJZFRERERMqgsCwiIiIiUgaFZRERERGRMigsi4iIiIiUQWFZRERERKQMCssiIiIiImVQWBYRERERKYPCsohILbFw4ULq169vdRkiIrWKwrKIiJtITk5mzJgxNGvWDF9fXyIjIxk0aBDr1q2zujQRkTrLy+oCRETE9Kc//Yn8/HwWLVpEq1atOHr0KN988w0nTpyothpOnTqFj49Ptb2fiIi7U8+yiIgbOHnyJD/88AMzZ86kX79+NG/enEsvvZRJkyZx3XXXATB79mw6duxIYGAgTZs2ZezYsWRmZpZ5zr1793LDDTcQERFBvXr16N69O19//bXTMS1atOC5555j9OjRhISEcO+993LVVVcxbtw4p+OOHz+Or68v3377res/vIiIG1NYFhFxA/Xq1aNevXp8/PHH5OXllXqMh4cH//d//8f27dtZtGgR3377LRMnTizznJmZmQwePJivv/6aTZs2MWjQIIYOHUpCQoLTcS+++CJxcXFs2LCBKVOmcM8997BkyRKnOt59912io6Pp16+faz6wiEgNYTMMw7C6CBERgY8++oh7772XnJwcunTpQp8+fbjlllvo1KlTqcd/+OGHPPDAA6SkpADmBX7jx4/n5MmTZb5Hhw4deOCBBxw9xy1atKBz584sX77ccUxeXh7R0dG89tpr/OUvfwGgc+fO3HjjjUydOtVFn1ZEpGZQz7KIiJv405/+xJEjR/j0008ZNGgQq1evpkuXLixcuBCAVatWMWDAABo3bkxQUBB33HEHx48fJysrq9TzZWVlMXHiRNq3b0/9+vWpV68eO3fuLNGz3K1bN6fHvr6+jBw5kn//+98AbN68mS1btjB69GiXf2YREXensCwi4kb8/PwYMGAAf//731m7di2jR49m6tSpHDhwgMGDBxMXF8dHH33Ehg0b+Ne//gVAfn5+qed64okn+Oijj3j++ef5/vvv2bx5Mx07duTUqVNOxwUGBpZ47T333MPKlSs5dOgQ//73v+nfvz/Nmzd3/QcWEXFzmg1DRMSNtW/fno8//pj169dTUFDAP//5Tzw8zH6ODz744Jyv/f777xk9ejTDhg0DzDHM+/fvL9f7duzYkW7duvHmm2+yZMkSXnnllQv6HCIiNZXCsoiIGzh+/Dh//vOfueuuu+jUqRNBQUGsX7+eWbNmccMNN3DRRRdRUFDAK6+8wtChQ/nxxx+ZN2/eOc/ZunVrli1bxtChQ7HZbEyZMoWioqJy13TPPfcwbtw4AgICHIFbRKSu0TAMERE3UK9ePXr06MFLL71E7969iYuLY8qUKdx7773MnTuXSy65hNmzZzNz5kzi4uJ49913mTFjxjnP+dJLLxEaGkqvXr0YOnQogwYNokuXLuWu6dZbb8XLy4sRI0bg5+d3oR9RRKRG0mwYIiJSqoMHD9KiRQt+/fXXCoVsEZHaRGFZRESc5Ofnk5iYyFNPPcWBAwf48ccfrS5JRMQyGoYhIiJOfvzxR5o3b86GDRvOOy5aRKS2U8+yiIiIiEgZ1LMsIiIiIlIGhWURERERkTIoLIuIiIiIlEFhWURERESkDArLIiIiIiJlUFgWERERESmDwrKIiIiISBkUlkVEREREyvD/78Wd4Lo+W8YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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JFBcXw83NrdI25csXNm/evEZeE9HNYiAmqgVqtRrTp0/H9OnTkZeXh19++QWzZ8/G4MGDkZKSctWAV/4LKT09Hc2aNXN4LC0tDf7+/g7tKjsRJiMjo9LRnspGY9atW4d+/fph6dKlDtsLCwuv/iJrwOWv9UppaWn2dVJrgiRJePbZZ/HKK6/gyJEjAIAjR47g4MGDWLNmDSZMmGBve+rUqWserzr7VjUaNm3aNHz66af49ttvsXnzZnh7e9tHGG9Udfq0pkbp/vrrL2RkZOCRRx4BAPj4+EClUuGhhx7Ck08+Wek+4eHhDvczMjIqtMnIyLC/rvz8fHz//feYN2+ewwoFBoOhyuX06nIUsvz9OWvWLIwePbrSNpGRkXVWT2WaNWtm/8O8V69eCAoKwrhx4zBv3jy8//77Ve43adIkrFixAocOHbrq8noDBw7Eli1b8N133+G+++6r8LgQAps2bYKvry+6d+9+8y+IqAZwygRRLfP29sa//vUvPPnkk8jJybGPjFQ1CnTHHXcAsAXVy/39999ISEiwn8Ry6623QqfTYf369Q7t9uzZc0MXSJAkyV5LuUOHDlW68kFNi4yMRNOmTfH55587fNReXFyM2NhY+yoJN6qyMAjYAmFBQYF9BLM8KF35+q9ndPZm9r1S9+7d0bNnT7z55pv47LPPMHHixCpH1q6ltvr0WnJycjBlyhRoNBo8++yzAABXV1f0798f8fHx6NSpE6KjoyvcrhyR/OKLLxzqTkpKwq5du+wraEiSBCFEhX5fsWIFLBbLdddbW6OwkZGRaN26NQ4ePFjp642OjnZYCvBG6q2tEeMHH3wQ/fr1w8cff3zVnx0xMTGYNGkSRo0ahVGjRlXZbvLkyQgICMCsWbMqXWlm4cKFOHbsGGbOnFnpGsZEzsARYqJaMGLECHTo0AHR0dFo0qQJkpKSsGTJEoSGhqJ169YAYF+n9d1338WECROg0WgQGRmJyMhI/N///R/+97//QZZlDBkyBGfPnsXcuXPRvHlze9jw9fXF9OnTsWDBAvj4+GDUqFE4d+4c5s+fj+DgYIf5o1czfPhwvPrqq5g3bx769u2L48eP45VXXkF4ePgNzUusDlmWsXDhQjz44IMYPnw4HnvsMRgMBixatAh5eXl44403qnXc//u//0NeXh7GjBmDDh06QKVS4dixY3jnnXcgyzJeeOEFAEDbtm3RsmVLvPjiixBCwNfXF999953D8lJVuZl9KzNt2jT78mlPPPFEtY4B1F6fXu7kyZPYs2cPrFYrsrOz8eeff2LlypUoKCjA2rVr0b59e3vbd999F7fffjt69+6Nxx9/HGFhYSgsLMSpU6fw3Xff4bfffnM4dmZmJkaNGoVHH30U+fn5mDdvHvR6PWbNmgUA8PT0RJ8+fbBo0SL4+/sjLCwM27dvx8qVK+Ht7X3dr6Gq9191wuqVli9fjiFDhmDw4MGYOHEimjZtipycHCQkJGD//v34+uuvb/iYHTt2xJdffon169fbr75Y/hoGDBiA7du339T79c0338Stt96KV199FStWrKiy3cqVK695LG9vb2zYsAHDhw9H9+7d8fzzz6Nz584oKCjA+vXr8dlnn2Hs2LH2pe+I6gMGYqJa0L9/f8TGxmLFihUoKChAUFAQBg4ciLlz59pHRPr164dZs2bhk08+wccffwyr1YqtW7fapy+0bNkSK1euxAcffAAvLy/cddddWLBggcOI2muvvQY3NzcsW7YMq1evRtu2bbF06VLMmTPnusPBnDlzUFJSgpUrV2LhwoVo164dli1bho0bN1a67FpNe+CBB+Dm5oYFCxZg7NixUKlUuO2227B161b07NmzWsd86qmnsH79enz88cdITU1FcXExmjRpgpiYGKxdu9Z+UQKNRoPvvvsO06ZNw2OPPQa1Wo0777wTv/zyC1q0aHHV57iZfStzzz33QKfToX///vY/mqqrNvr0crNnzwZgmxrk5eWFNm3aYNKkSfi///u/CvNK27Vrh/379+PVV1/FSy+9hMzMTHh7e6N169YYOnRohWO//vrr+Pvvv/Hwww+joKAAPXr0wJdffumwPvLnn3+OadOmYebMmTCbzejVqxfi4uIqnNh5NVd7/92s/v3746+//sJrr72GZ555Brm5ufDz80O7du0qnAR7vebPn4/09HQ8+uijKCwsRGhoqP3TJovFckOj45Xp0aMH7r33XnzyySeYNWtWtdejLterVy8cOnQIb775Jt59912cO3cOLi4u6Ny5M9atW1fh5EkiZ5OEqAeXbCKiGpOYmIi2bdti3rx59uBC9d93332Hu+++Gz/88EOlQbGx27ZtG/r374+vv/4a//rXv5xdDhEpDEeIiRqwgwcP4osvvkDPnj3h6emJ48ePY+HChfD09LSf2ET129GjR5GUlITnnnsOXbp0wZAhQ5xdEhGR4jAQEzVgbm5u2Lt3L1auXIm8vDx4eXmhX79+eO2116pceo3qlyeeeAI7d+5Et27d8Mknn/BjZCIiJ+CUCSIiIiJSNC67RkRERESKxkBMRERERIrGQExEREREiqa4k+qsVivS0tLg4eHBk1eIiIiI6iEhBAoLCxESEnLdF5q6GYoLxGlpaWjevLmzyyAiIiKia0hJSUGzZs1q/XkUF4jLL8uZkpICT09PJ1dDRERERFcqKChA8+bNa+Ry6tdDcYG4fJqEp6cnAzERERFRPVZX01t5Uh0RERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpmlMD8dKlS9GpUyd4enrC09MTMTEx+Omnn666z/bt29G9e3fo9XpERERg2bJldVQtERERETVGTg3EzZo1wxtvvIG9e/di7969uOOOOzBy5Ej8888/lbZPTEzE0KFD0bt3b8THx2P27Nl4+umnERsbW8eVExEREVFjIQkhhLOLuJyvry8WLVqERx55pMJjL7zwAjZt2oSEhAT7tilTpuDgwYPYvXv3dR2/oKAAXl5eyM/Ph6enZ43VTUREREQ1o67zmrrWn+E6WSwWfP311yguLkZMTEylbXbv3o1BgwY5bBs8eDBWrlwJk8kEjUZTYR+DwQCDwWC/X1BQULOFkyIkJycjKyvL2WXQTfD390eLFi2cXQYREdVDTg/Ehw8fRkxMDMrKyuDu7o6NGzeiXbt2lbbNyMhAYGCgw7bAwECYzWZkZWUhODi4wj4LFizA/Pnza6V2Uobk5GRERUWhpKTE2aXQTXB1dUVCQgJDMRERVeD0QBwZGYkDBw4gLy8PsbGxmDBhArZv315lKJYkyeF++YyPK7eXmzVrFqZPn26/X1BQgObNm9dQ9aQEWVlZKCkpwZrZixEV2srZ5VA1JCSdwsTXpyMrK4uBmIiIKnB6INZqtWjVyhYyoqOj8ffff+Pdd9/F8uXLK7QNCgpCRkaGw7bMzEyo1Wr4+flVenydTgedTlfzhZPiRIW2Qtc2HZxdBhEREdWwercOsRDCYc7v5WJiYhAXF+ewbcuWLYiOjq50/jARERER0bU4NRDPnj0bv//+O86ePYvDhw9jzpw52LZtGx588EEAtukO48ePt7efMmUKkpKSMH36dCQkJGDVqlVYuXIlZsyY4ayXQEREREQNnFOnTJw/fx4PPfQQ0tPT4eXlhU6dOmHz5s0YOHAgACA9PR3Jycn29uHh4fjxxx/x7LPP4oMPPkBISAjee+89jBkzxlkvgYiIiIgaOKcG4pUrV1718TVr1lTY1rdvX+zfv7+WKiIiIiIipal3c4iJiIiIiOoSAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKZpTA/GCBQtwyy23wMPDAwEBAbjnnntw/Pjxq+6zbds2SJJU4Xbs2LE6qpqIiIiIGhOnBuLt27fjySefxJ49exAXFwez2YxBgwahuLj4mvseP34c6enp9lvr1q3roGIiIiIiamzUznzyzZs3O9xfvXo1AgICsG/fPvTp0+eq+wYEBMDb27sWqyMiIiIiJahXc4jz8/MBAL6+vtds27VrVwQHB2PAgAHYunVrle0MBgMKCgocbkRERERE5epNIBZCYPr06bj99tvRoUOHKtsFBwfjo48+QmxsLDZs2IDIyEgMGDAAO3bsqLT9ggUL4OXlZb81b968tl4CERERETVATp0ycbmpU6fi0KFD+OOPP67aLjIyEpGRkfb7MTExSElJwVtvvVXpNItZs2Zh+vTp9vsFBQUMxURERERkVy9GiJ966ils2rQJW7duRbNmzW54/9tuuw0nT56s9DGdTgdPT0+HGxERERFROaeOEAsh8NRTT2Hjxo3Ytm0bwsPDq3Wc+Ph4BAcH13B1RERERKQETg3ETz75JD7//HN8++238PDwQEZGBgDAy8sLLi4uAGxTHlJTU7F27VoAwJIlSxAWFob27dvDaDRi3bp1iI2NRWxsrNNeBxERERE1XE4NxEuXLgUA9OvXz2H76tWrMXHiRABAeno6kpOT7Y8ZjUbMmDEDqampcHFxQfv27fHDDz9g6NChdVU2ERERETUiTp8ycS1r1qxxuD9z5kzMnDmzlioiIiIiIqWpFyfVERERERE5CwMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESmaUwPxggULcMstt8DDwwMBAQG45557cPz48Wvut337dnTv3h16vR4RERFYtmxZHVRLRERERI2RUwPx9u3b8eSTT2LPnj2Ii4uD2WzGoEGDUFxcXOU+iYmJGDp0KHr37o34+HjMnj0bTz/9NGJjY+uwciIiIiJqLNTOfPLNmzc73F+9ejUCAgKwb98+9OnTp9J9li1bhhYtWmDJkiUAgKioKOzduxdvvfUWxowZU9slExEREVEjU6/mEOfn5wMAfH19q2yze/duDBo0yGHb4MGDsXfvXphMpgrtDQYDCgoKHG5EREREROXqTSAWQmD69Om4/fbb0aFDhyrbZWRkIDAw0GFbYGAgzGYzsrKyKrRfsGABvLy87LfmzZvXeO1ERERE1HDVm0A8depUHDp0CF988cU120qS5HBfCFHpdgCYNWsW8vPz7beUlJSaKZiIiIiIGgWnziEu99RTT2HTpk3YsWMHmjVrdtW2QUFByMjIcNiWmZkJtVoNPz+/Cu11Oh10Ol2N1ktEREREjYdTR4iFEJg6dSo2bNiA3377DeHh4dfcJyYmBnFxcQ7btmzZgujoaGg0mtoqlYiIiIgaKacG4ieffBLr1q3D559/Dg8PD2RkZCAjIwOlpaX2NrNmzcL48ePt96dMmYKkpCRMnz4dCQkJWLVqFVauXIkZM2Y44yUQERERUQPn1EC8dOlS5Ofno1+/fggODrbf1q9fb2+Tnp6O5ORk+/3w8HD8+OOP2LZtG7p06YJXX30V7733HpdcIyIiIqJqceoc4vKT4a5mzZo1Fbb17dsX+/fvr4WKiIiIiEhp6s0qE0REREREzsBATERERESKxkBMRERERIrGQExEREREisZATERERESKxkBMRERERIrGQExEREREisZATERERESKxkBMRERERIrGQExEREREisZATERERESKxkBMRERERIrGQExEREREilatQJyYmFjTdRAREREROUW1AnGrVq3Qv39/rFu3DmVlZTVdExERERFRnalWID548CC6du2K5557DkFBQXjsscfw119/1XRtRERERES1rlqBuEOHDli8eDFSU1OxevVqZGRk4Pbbb0f79u2xePFiXLhwoabrJCIiIiKqFTd1Up1arcaoUaPw1Vdf4c0338Tp06cxY8YMNGvWDOPHj0d6enpN1UlEREREVCtuKhDv3bsXTzzxBIKDg7F48WLMmDEDp0+fxm+//YbU1FSMHDmypuokIiIiIqoV6urstHjxYqxevRrHjx/H0KFDsXbtWgwdOhSybMvX4eHhWL58Odq2bVujxRIRERER1bRqBeKlS5di0qRJePjhhxEUFFRpmxYtWmDlypU3VRwRERERUW2rViA+efLkNdtotVpMmDChOocnIiIiIqoz1ZpDvHr1anz99dcVtn/99df45JNPbrooIiIiIqK6Uq1A/MYbb8Df37/C9oCAALz++us3XRQRERERUV2pViBOSkpCeHh4he2hoaFITk6+6aKIiIiIiOpKtQJxQEAADh06VGH7wYMH4efnd9NFERERERHVlWqdVHfffffh6aefhoeHB/r06QMA2L59O6ZNm4b77ruvRgskovpPCAFYBGCyAGar7WYRtu0CgFUA5f+XAMgSJFkCLr+pZUCjAjQyJEly8isiIiIlqVYg/u9//4ukpCQMGDAAarXtEFarFePHj+ccYqJGSFisQIkJotQMGMyAwQJx8V8YzIDJeuPHvNqDmsvCsV4NXLxJejXgomFoJiKiGlWtQKzVarF+/Xq8+uqrOHjwIFxcXNCxY0eEhobWdH1EVIeEVdiCb6HB9m+JCSgx2YLv9Sgf6S2/SQAkyfFfwDZifPnNIi6NLAO2gH0xZIt8w6X6yv+jkgA3LSQ3jeO/6pu6+CYRESlUtQJxuTZt2qBNmzY1VQsR1SEhBFBmhig0AoUG279FRltArYxGBlw0tlFanQrQqSFd/Ld8RFeSb27UVlgvBmOTBTBaIExWoMwMlJogysy2/xsstgBdYIAosIVle8UuakheesBTB8lTZ7vPkWQiIrqGagVii8WCNWvW4Ndff0VmZiasVsePS3/77bcaKY6IapYwmCHyyoC8Mtu/lY38qiTAQ2cbdXXVQHK9+K9GVev1SbIEaFW2m9ulAWWH12AVtoBcbAKKjRBFRqDYBBgtQKkZorQIyCiyhWS1DHjp4GfUoLVfc9s8ZiIioitUKxBPmzYNa9aswbBhw9ChQweOwBDVU8IqgPwyiOxSiNxSoNTs2EAC4K6F5KEDPC7+W89HVSW5fLqEFoCbfbswWmwj3QUG2zSLIqNttDm7FE2hx6Gn18L4WxFM6cchR/hAjvCBpNc474UQEVG9Ua1A/OWXX+Krr77C0KFDa7oeIrpJwmSByCkFykOw5YpRUXctJG89JG894KWDpGoc824lrQrwc4Xk5wrg4h8DRUaI/DIUpGZBW2KFrlQLy/50WPanA7IEOcwbclQTqCL9ILnrnPwKiIjIWap9Ul2rVq1quhYiqiZhskBklUBcKAHyyhwf1Kog+bpA8nWxBeA6mPpQH0iyZJ9LnFiagn7/uRcHNm1HuOQH6+kciKwSWM/kwnomF+YfAKm5J1Rtm0DVroltHjIRESlGtQLxc889h3fffRfvv/9+vf5olagxExarbSpEZjGQW+q4jpmbBpKfqy0Ee2j5PgVQajKgKEADTTfbH/PW7BJYj2XBknABIq0QIqUA5pQCmONO20aOOwVCFdUEku6mzj0mIqIGoFo/6f/44w9s3boVP/30E9q3bw+NxnEe3oYNG2qkOCJyJMTF1RUyimyjwZevCOGmgdTEDVITV0gunBt7LbKfK+ReLaDu1QKioAyWY1mwHL0AkZwP69k8WM/mwfzjSciR/lB1CoTc0vemV9EgIqL6qVqB2NvbG6NGjarpWoioCsJogThfBJFR5HhinF5tC8ABbhdPMqPqkDz1UPdoBnWPZrDmlcJ6OBOWw+dt0yr+yYT1n0zAUwd1t2CougbbTj4kIqJGo1qBePXq1TVdBxFdQQgB5BtgTSsEsksuTYmQJVsIDnK3zZHldIgaJXu7QO4dCtXtLSDSC2E5dB6Ww+eBAgPM287CvP0s5Lb+UHUPgRzuw/4nImoEqj05zmw2Y9u2bTh9+jQeeOABeHh4IC0tDZ6ennB3d6/JGokURVisEJnFEGmFtvV1y3loIQW526ZF8IpstU6SJEghnpBDPKG+MwLWoxdg3pcGkVIAa0IWrAlZkHxdoLq1GVSdg2yrXBARUYNUrUCclJSEu+66C8nJyTAYDBg4cCA8PDywcOFClJWVYdmyZTVdJ1GjJ8rMtpO7MoouXcJYliAFukEK8eCUCCeS1CqoOgVB1SkI1swiWPalw3IoAyKnFOafTsK8NRGq7iFQ92jK6RRERA1QtS/MER0djYMHD8LPz8++fdSoUZg8eXKNFUekBKLYCHGuwLZaRPm0CL3aFoID3RSzTFpDIQe4Qx7SGuoB4bAcyIDlz3MQuWWw7EyGZXcK5A4BUMc0hxzIT8qIiBqKaq8ysXPnTmi1jiNWoaGhSE1NrZHCiBo7kV8Ga0oBkFN6aaOXDnIzT8DXhXNT6zlJq4a6RzOoopvCeiIL5j3nbCtUHDoP46HzkCP9oL49FHJTT2eXSkRE11CtQGy1WmGxWCpsP3fuHDw8PG66KKLGSggB5JXBmpQPFBguPeDvCrmZJyRPftze0EiyZLugR9smsKYWwLw7BdajF2A9ng3j8WzIET5Q9w6FHOrt7FKJiKgK1QrEAwcOxJIlS/DRRx8BsJ18UlRUhHnz5vFyzkSVqDQIS4AU6A6pmSckV64b3BjITT2h/Vd7WLOKYd6ZDOuh87CeyYXxTC6kFl5Q9wuDKszH2WUSEdEVqhWI33nnHfTv3x/t2rVDWVkZHnjgAZw8eRL+/v744osvarpGogar0iAsS5CCLwZhXgWtUZL93aAdGQVrnzBYdqXAciAdIjkfprUHYQn3gbp/GORmXs4uk4iILqrWb+OQkBAcOHAAX3zxBfbv3w+r1YpHHnkEDz74IFxcXGq6RqIGSeSXwZqY5zgiHOLBIKwgso8L5GFtoO4dCvMfSbDsT4c1MRfGxFzIrf1swTiI08yIiJyt2r+VXVxcMGnSJEyaNKkm6yFq8ESx0RaEy0+WYxBWPMlTB83QNlD1bA7LjiRYDmbAejIbxpPZkNs3gbp/BGRfDiYQETlLtX47r1279qqPjx8/vlrFEDVkoswMcTbPtnzaRVKQO6RQLwZhAnDxKnh3t4WqZwuYt5+9eFnoCzAmZEF1SwjUvcM4n5yIyAmqvQ7x5UwmE0pKSqDVauHq6spATIoizFaI5HyI1AL7OsKSvyukMG+GG6qU7O8K7Zh2sPZqAfMvp2E9kwvLn6mwHMiAuncoVD2aQlJz/WkiorpSrUCcm5tbYdvJkyfx+OOP4/nnn7/poogaAiEERHoRRFIeYLp4ZTlvPeRwb16tjK6LHOQO7bjOsJzOgfmX0xDni2H+5QzMf6dCMyACcvsArkdNRFQHauxz3NatW+ONN97AuHHjcOzYsZo6LFG9JHJLYT2TCxSbbBtc1JBb+kLiPFCqBlVLX8jhPrAcyoB5ayKQb4BpQwKkvWnQ3NUachCvekdEVJvkmjyYSqVCWlradbffsWMHRowYgZCQEEiShG+++eaq7bdt2wZJkircGMCprohSEyz/ZMJ6ONMWhtUypJY+kLuHMAzTTZFkCeouwdBNvRXqvmGAWoZIzofx470w/XgCotTk7BKJiBqtao0Qb9q0yeG+EALp6el4//330atXr+s+TnFxMTp37oyHH34YY8aMue79jh8/Dk/PS5dDbdKkyXXvS1Qdnjo3BBfoYN2bdmmecIiH7YQ5Ded6Us2RNCqo+4ZB1TkIpl9Ow3r0Aix702D5JxPqOyKg6hoMSeY0CiKimlStQHzPPfc43JckCU2aNMEdd9yBt99++7qPM2TIEAwZMuSGnz8gIADe3t7X1dZgMMBguHSJ3IKCght+PlIuIQS8zhlx+OlP0aREa9voo7dNj+AJc1SLJG89tP9qD0tiLsybT0JcKIH5hxOw7EuD5q5WkFt4O7tEIqJGo1qB2Gq11nQdN6Rr164oKytDu3bt8NJLL6F///5Vtl2wYAHmz59fh9VRY2G9UAzTjyfQNKkMcPdBmcoC16hgTo2gOqUK94H8WDQse9Ng3nYWIqMIxjUHIHcMgGZgK0juWmeXSETU4NXoHOLaFhwcjI8++gixsbHYsGEDIiMjMWDAAOzYsaPKfWbNmoX8/Hz7LSUlpQ4rpoZIGC0w/XIaxuV7IZLyYZWBl+KW46R/CcMwOYUky1D3aAbdkz2g6hoMALAezoThw79g3p9mu0Q4ERFVW7VGiKdPn37dbRcvXlydp6hUZGQkIiMj7fdjYmKQkpKCt956C3369Kl0H51OB52OS2DR9bEcz4Jp80kg3zbNRm7jh5PNDHh77pf490MPOLk6UjrJTQvNiEiougXbTrRLL4L5+xOwHDwPzfA2kJu4ObtEIqIGqVqBOD4+Hvv374fZbLYH1BMnTkClUqFbt272dnWxfuZtt92GdevW1frzUOMm8spg2nwS1hPZtg1eOmjuag1VpD9M+/c7tziiK8hNPaF9pBssf6XCvDURIiUfxuV7oerZHOreoTzRk4joBlUrEI8YMQIeHh745JNP4OPjA8B2sY6HH34YvXv3xnPPPVejRV5NfHw8goOD6+z5qHERVisse87BvO0sYLYCsgRVzMVQoWWooPpLkmWob2sOVVQTmH6y/TFn+SMZ1qMXoB7aGqoIX2eXSETUYFQrEL/99tvYsmWLPQwDgI+PD/773/9i0KBB1x2Ii4qKcOrUKfv9xMREHDhwAL6+vmjRogVmzZqF1NRUrF27FgCwZMkShIWFoX379jAajVi3bh1iY2MRGxtbnZdBCmfNKILpu2MQ6UUAACnUC5qh/NiZGhbJSw/N2A6wHrNN9xE5pTCtOwRLx0BoBrWE5MaT7oiIrqVagbigoADnz59H+/btHbZnZmaisLDwuo+zd+9ehxUiyucmT5gwAWvWrEF6ejqSk5PtjxuNRsyYMQOpqalwcXFB+/bt8cMPP2Do0KHVeRmkUMJsgXlHEiy7UgCrAPRqqAe2hKpLEC+TSw2SJElQRTWBHOED89ZEWP5KhfXweRhO59iWaOMloImIrqpagXjUqFF4+OGH8fbbb+O2224DAOzZswfPP/88Ro8efd3H6dev31XPjl6zZo3D/ZkzZ2LmzJnVKZkIAGBNzofp++MQWSUAADnKH5q7WkPy4ImX1PBJOrVt7nvHQNv3+flimDYkQP7nAjRD+X1ORFSVagXiZcuWYcaMGRg3bhxMJtvlRNVqNR555BEsWrSoRgskqgnCYIb5t0RY/k61bXDTQDO0DVRRvMohNT5yU09oJ3eH5Y9kmH9PgvV4FgxJedAMbgW5UyBHi4mIrlCtQOzq6ooPP/wQixYtwunTpyGEQKtWreDmxrmXVP9YTmXD9MMJ+1Jqqi5BUA9sCcmFV5qjxktSyVD3DYPc1h+mTba58qZvj0H+JxOa4W0geeqdXSIRUb1xUxfmSE9PR3p6Otq0aQM3NzcuDk/1ijCYYfruGEyfHwbyDZC89dA82Amau9syDJNiyIHu0D7SDeo7wgGVBOupHBiW/s0LehARXaZaI8TZ2dn497//ja1bt0KSJJw8eRIRERGYPHkyvL298fbbb9d0nUQ3xHImF6bvjl0aFb61KdT9I7iUGimSJMtQ3x4KOdIfpk3HIVILYP7+BKxHL0AzIhKSF0eLiUjZqjVC/Oyzz0Kj0SA5ORmurq727WPHjsXmzZtrrDiiGyWMFph+OgHTuoP2UWHthC7QDG7NMEyKJzdxg/bhrlAPbAmoZVjP5MKw7G9YDmVwtJiIFK1aI8RbtmzBzz//jGbNmjlsb926NZKSkmqkMKIbZU3Og+nbYxC5ZQAAVXQI1HdGQNJW69ucqFGSZAnqmOaQ2/jB9M0xiNQCmL45BvlYFjTD2nDdYiJSpGolheLiYoeR4XJZWVnQ6bisD9UtYbLY1l7dc862wVMHzYhIqFrySl1EVZH9XKF9uAssO1Ng3n4W1mNZMKTkQzM8EqpIf2eXR0RUp6o1ZaJPnz72q8cBtkXhrVYrFi1a5HChDaLaZk0tgPHjffYwrOoSBN2UWxiGia6DJMtQ9w6F9pFukALcgGITTOuP2FalMJidXR4RUZ2p1gjxokWL0K9fP+zduxdGoxEzZ87EP//8g5ycHOzcubOmaySqQFittjVWt58FBAB3rW1kq42fs0sjanDkYA9oJ3eDeetZWHanwHIgA5bEXGhHRkEO83Z2eUREta5aI8Tt2rXDoUOH0KNHDwwcOBDFxcUYPXo04uPj0bJly5qukciBNbcUxjUHYN52FhCA3K4JdI/fwjBMdBMktQqagS2hndAFkrceyDfAuPYATFtOQZgtzi6PiKhW3fAIsclkwqBBg7B8+XLMnz+/NmoiqpQQApaDGTBvPgUYLYBOBc2Q1pA78spbRDVFDvWG9rFomONOw7I/HZY952A9nQPNyCjIIR7OLo+IqFbccCDWaDQ4cuQIAwjVKVFigumH47AmZAEApBZe0NzTFrK3i5MrI2p8JJ0amuGRkNv4w/T9cYgLJTCu2g913zCoerWAJPPnPxE1LtWaMjF+/HisXLmypmshqpTldA4My/+2hWFZgvqOcGjHd2EYJqplqjZ+0E25BXK7JoBVwLw1Eca1ByDyypxdGhFRjarWSXVGoxErVqxAXFwcoqOj4ebm5vD44sWLa6Q4UjZhtsD8ayIsf9pWkJD8XaEZFQU5mB/bEtUVyVUDzZh2sLY5D9OPJyGS82FY/jc0w9pA1SHQ2eUREdWIGwrEZ86cQVhYGI4cOYJu3boBAE6cOOHQhlMpqCZYM4pg2ngU4kIJAEB1SwjUd7aEpOHV5ojqmiRJUHUKgtTcC6aNCRDnCmDakADLyRxohrSGpOfFb4ioYbuhn2KtW7dGeno6tm7dCsB2qeb33nsPgYEcJaCaIYSAZc85mH87A1gE4KaB5u62ULXmChJEzib7uEA7sQvMO5Jg+T0J1sPnYUzJh+aeKMgtvJxdHhFRtd1QIL7yWvc//fQTiouLa7QgUi5RbITp22OwnsoBAMiRftAMj+SlZInqEUmWoekXDlVLX9tocV4ZjJ/EQ9U7FOo+oZDkap2aQkTkVDf1OdeVAZmouixnc2HamAAUGgG1DPXgVlB1C+YUHKJ6Sm7uBe1j0TD9dBLWQ+dh2ZFkW55tVDvIvjzhlYgalhv6U16SpAoBhYGFboawCpi2JcK09iBQaITk7wrtI92g7h7C7y2iek7SqaG9Jwqa0VGATgWRWgjjR3thPpDOARMialBueMrExIkTodPpAABlZWWYMmVKhVUmNmzYUHMVUqMlCgwwbjgKkZwPAFB1CYL6rtaQtDxxjqghUXUIhNzcC8aNCRDJ+TBvOg7rqRxohrWB5KJxdnlERNd0Q4F4woQJDvfHjRtXo8WQclhOZMP0bQJQaga0KtsSTh15ciZRQyV56aEd3wWWXckwbzsL69ELMJwrgOaetlCF+Ti7PCKiq7qhQLx69eraqoMUQlisMP96BpY9F9cWDnaHZnQ7yH6uTq6MiG6WJEtQ3x4KOdzHdsJdTilMaw/C2rM51P3DIal4wh0R1U9cPJLqjDW3FKbYoxBphQAAVY+mtrWF1fwlSdSYyE09of2/7jD/fBqW+HRYdqXAmpjLP36JqN5iEqE6YfknE8aP9trCsF4NzdgO0NzVmmGYqJGStGpoRkRCc297QK+GSC+ynXAXzxPuiKj+4Qgx1SphssD88ylY9qcDAKTmntCObgfJS+/kyoioLqiimkBu6gHTxmOwJuXB/N3FE+6G84Q7Iqo/GIip1lgvFNumSGTaLt6iur0F1P3CuHA/kcJInnpoHup86YS7hAswpBZAe08U5DBvZ5dHRMRATDVPCAHLgQyYfzoJmK22yy+PioIqwtfZpRGRk1R2wp1x7QGoel38Q5kn3BGRE/EnENUoYTDDtDEB5u+OA2Yr5Agf6B67hWGYiABcOuFO1SUIAGDZmQzj6nhYc0qcXBkRKRkDMdUYa1ohjB/vg/VIJiAB6gER0DzYCZK71tmlEVE9ImnV0NzdFpp/tbOdcJdWCONH+3iFOyJyGk6ZoJsmhIDlr1SY404DVgF46aAd3Q5ycy9nl0ZE9ZiqXQDkpp4wfpMAkcQr3BGR8zAQ000RJSaYNh2D9UQ2AEBu6w/NiEj+MiOi6yJ56aF9qAssO5Nh3pZov8KddlQU5FBvZ5dHRArBQEzVZk3Og3FDAlBgAFQS1INaQRUdAkmSnF0aETUgkixB3TsUcoQPTBuOQuSWXTrhri9PuCOi2sdATDdMWIV9NAcCkPxcoBnTDnKQh7NLI6IGzHbCXTTMm0/BcjADlj+SbVe4G9UOsq+Ls8sjokaMf3bTDRGFBpg+OwjzVlsYljsFQvtod4ZhIqoRkk4Nzci20IxpB+hUEKmFMH60F5aDGTzhjohqDUeI6bpZTuXA9G0CUGwCNDI0Q9tA1TnI2WURUSOkan/ZCXfJ+TB9ewzyqRxohrWGpOc5CkRUsxiI6ZqExQrz1kRYdqUAAKRAN9sUCX83J1dGRI2Z5K2HdnwXWP5Ignn7WVj/yYThXL7thLsW3s4uj4gaEQZiuiqRVwbjhqMQ5woAAKroEKgHtoSkUTm5MiJSAkmWoO4TZjvhbmOC7YS7Tw5A1TsU6j6hvBQ8EdUI/iShKlkSLsDw0V5bGNapoLm3PTRD2zAME1Gdk5t5Qft/0ZA7BQICsOxIgnHNAVhzS51dGhE1AgzEVIEwW2D66QRMX/8DlJkhNfWA9rFoqKKaOLs0IlIwSaeG9p4oaEZH2U64O1cA4/K9sBzKcHZpRNTAccoEObBmlcAU+w/E+WIAgKpnc6j7h3MdUCKqN1QdAiE187RNoUgpgOmbY7CcyrF9gqXnrzUiunH8yUF2loMZMP14AjBZAVcNNPe0haqVn7PLIiKqQPZ2gXZCF1h+T4Z5x1lYj2TCeK4AmlFRvGw8Ed0wBmKCMJph+vEkrIfOAwDkMG9oRkVB8tA5uTIioqpJsgx138tOuMsrg3FNvO2Eu96h/GSLiK4bf1oonDWjCMaP99nCsASo+4VBM64zwzARNRhycy9oH4uG3PGyE+5Wx8OaVeLs0oiogeAIsUIJIWDZmwbzllOARQAeWmhHt4Mc6u3s0oiIbpikU0M7KgqW1r4w/XgSIs12hTv1nRFQ3dIUkiQ5u0QiqscYiBVIlJpg+u44rMeyAAByaz9oRraF5MqrPxFRw6bqEAi5hRdMm47DeiYX5s2nYD2RDc3dkZA89c4uj4jqKU6ZUBhrSj4MH+21hWFZgnpQS2ju68AwTESNhuSph+bBTlDf1QpQy7CeyYVh2V5YDp+HEMLZ5RFRPcQRYoUQQsCyKwXm384AApB89LbLL4d4Ors0IqIaJ0kS1D2aQY7whembBIi0Qpg2JkA+ngXNsDaQXDgIQESXMBArgCg2wvRNAqyncwEAcvsAaIa3gaTjl5+IGjfZ3xXah7vC8sfF5dmOXoAhOR+auyO5rCQR2TERNXKWM7kwfZMAFBkBtQz1Xa2g6hrME0yISDEk1cXl2Vr7wvTNMYisEpg+Pwxr9xCoB7aEpOXl6ImUjoG4kRJWK8zbzsLyRzIAQGriCs2Y9pAD3JxcGRGRc8ghntA+2h3mX8/A8lcqLPvSYE3MhebuSMgtvJ1dHhE5kVNPqtuxYwdGjBiBkJAQSJKEb7755pr7bN++Hd27d4der0dERASWLVtW+4U2MLbF6Q/Yw7CqazC0k7szDBOR4kkaFTR3tYZmXCfAUweRUwrjmgMw/XwKwmRxdnlE5CRODcTFxcXo3Lkz3n///etqn5iYiKFDh6J3796Ij4/H7Nmz8fTTTyM2NraWK204LAkXYPhoL8S5AkCngmZMO2hGRELS8CNBIqJyqghf6KZEQ9UlCABg+fMcjMv+hjUpz7mFEZFTOHXKxJAhQzBkyJDrbr9s2TK0aNECS5YsAQBERUVh7969eOuttzBmzJhaqrJhECYLzFtOw7IvDQAgNfWAZnQ7yD4uTq6MiKh+kvQaaO5uC7ldE5i+PwGRWwbjJweguqUp1APCIWk5q5BIKRrUu3337t0YNGiQw7bBgwdj5cqVMJlM0GgqLqNjMBhgMBjs9wsKCmq9zsokJycjKyurVo6tLbSg2f5S6AutAICsllpkRgJITAASa+UpFSUhIcHZJVAN4deyYTMYDNDpauey8nKMFoFHrfBJMcHydypK/0lDWicXlPg3qF+T9Vptfv2obvj7+6NFixbOLqNWNKh3ekZGBgIDAx22BQYGwmw2IysrC8HBwRX2WbBgAebPn19XJVYqOTkZUVFRKCkpqfFjT+w2FG8PeQp6rR4ZhTl4ZMPr+O3Mvhp/HgKKioqcXQJVU0bOBUgAxo0b5+xS6CZIklTrF9YY0DIaH979HFogCGF7SrDsr2/wUtxyFBvLavV5laAuvn5Uu1xdXZGQkNAoQ3GDCsQAKiwXVv7mqmoZsVmzZmH69On2+wUFBWjevHntFViJrKwslJSUYM3sxYgKbVUjx5StQLMCPbzLbKPihVozciK0WPDCvBo5Pl3y05/b8PKqxSgr4y/EhiqvqAACwLtP/Ae3dY52djlUDeXvw7r4GhZYgexCI/xKtZjS4x5Mirkb5zzLUKTjSXfVVZdfP6odCUmnMPH16cjKymIgdragoCBkZGQ4bMvMzIRarYafX+ULrOt0unrzEU1UaCt0bdPhpo8jCgywJlwADBZAAqQwb3g184Q31xauFceSTzu7BKohrZqG1ch7kOpe+fuwLr+GIrcU1hPZ0BqAiFxXSMHukMJ9IKmdej56g+SMrx/RjWhQ7+qYmBjExcU5bNuyZQuio6MrnT/c2AghYE3Jh/Vghi0M69WQOwdBbu7FC20QEdUwyccFcnQIpBAPAIBIL4J1bxpEVs1PfyMi53JqIC4qKsKBAwdw4MABALZl1Q4cOIDkZNv6ubNmzcL48ePt7adMmYKkpCRMnz4dCQkJWLVqFVauXIkZM2Y4o/w6JYwWWA9nQiTmAcJ2oQ25WzAkz/ox+k1E1BhJKhlyK1/InQIBvRowWmA9egGWoxcgDGZnl0dENcSpUyb27t2L/v372++Xz/WdMGEC1qxZg/T0dHs4BoDw8HD8+OOPePbZZ/HBBx8gJCQE7733XqNfck3klMJ6PAswWQFZgtTSB1KQO0eFiYjqiOSth9w9GCI537bOe1YJrLmltikUwfx5TNTQOTUQ9+vX76pnnK5Zs6bCtr59+2L//v21WFX9IawC4mye7YcvALhpIEc1geTa+KeHEBHVN5JKhhTuA9HEDdaT2UChEeJUDkRmMeTWvpDctM4ukYiqqUHNIVYSUWqC9WCGPQxLwe6QuwQxDBMROZnkrrX9PG7pA6gkoMAA6/50WM/mQVi5rBhRQ9SgVplQAiEExPliiNM5gEUAahlyGz9I/q7OLo2IiC6SJAlSU08IP1dYT+cA2aW26RQXiiG39IXky6uEEjUkDMT1iDBZIE7mXDqD2UsHOdIfkp5fJiKi+kjSqyG3awJkl8J6KgcoNcN6JBPwd4Uc4cOf30QNBN+p9YTIK4P1WBZgvLi2cKg3pOaePFGDiKiekyTJFoC99RBJeRCphbaT7nJKIYV6QWrqCUnmz3Ki+oyB2MmEVdh+gKZcPHHORQ25rT8kDy6nRkTUkEhqGVJLX4hAd9tocYEBIjEPIqMIcitfSD6cRkFUXzEQO5EoMdlGhYuMAGBbSq2lDyQVz3UkImqoJHct5M6BtvNBEnNt0ygOZ0Jq4gopwgeSjr96ieobviudQAgBkVEEcToXsPLEOSKixkaSJEhB7hD+rrblM9MKIS6UQOSUQmrBaRRE9Q0DcR0TJgusJ7KB7FLbBm895Eg/jhgQETVCklqG1MoXItDNNo2i0GibRpFeBDnCB/Bz4bkiRPUAU1gdcjeoYN2XfunEuXAfSE09+MOQiKiRkzx0kLsE2aZRnM0DysywHr1gW02opS8kd17Ug8iZGIjrgGQRWDBoCiJyXQFYbCfORTXhD0AiIgWxT6No4gqRUmC78FK+7aIeUpA7pDBvSFqVs8skUiQG4lpmvVCM8J3FeKbXWAC2K85JETxxjohIqSSVDCnMGyLIHSIx1za3OKMI4kIx5xcTOQlTWS2z/HUO+gIrLhTnIdG7BHJrP4ZhIiKyXdQjqgnkzoGAuxawCIjEPFj3psGaWQwheBloorrCZFbL1ANbIreFBrd8OAmFeouzyyEionpG8tJD7hoEKdIP0KqAMjPEsSxY4zMgckoZjInqAKdM1DJJq0Z6JxecL8p1dilERFRPSZIEKfDiMm2phRAp+UCR0XYZaG895HBvXrCJqBZxhJiIiKiekFQy5BZekHs0hdTUA5AA5JXBGp8B69ELECUmZ5dI1ChxhJiIiKiekTQq22Wgm3pCJOXZlmvLKoHIKrGdnN3Ci+vXE9UgvpuIiIjqKUmvhhTpD9HME9bEPCCnFCK9CCKjCFKwB6TmngzGRDWA7yIiIqJ6TnLTQtUhACK/zBaMCwy2y0GnFzIYE9UAvnuIiIgaCMlLb1umLa8M1qT8S8E4o8g2laIZgzFRdfBdQ0RE1IBIkgT4uED21jsG49RCiHQGY6Lq4LuFiIioAbpqME4rhBTobptK4aJxdqlE9R4DMRERUQNWZTDOsJ18B39XyM09uY4x0VUwEBMRETUCDsE43wDruQIgpxTIKoE1q8R2gY9mnoCP3taWiOwYiImIiBoRSZIAbz1U3nqIYiNESgFEZrFt9DivDHDX2uYYN3FlMCa6iIGYiIiokZLctJDa+kOEeUOkFkCkFwFFRohjWRCJKkghHpCC3CFpVM4ulcipGIiJiIgaOUmvtl35roWXbZm2tELAYIFIzINIyocU4GYLx+5aZ5dK5BQMxERERAohaVSQQr0hmntBZBbbgnGR8dIJeF46yE09AT8XTqcgRWEgJiIiUhhJliAFuUMEul26uMeFEtvJePkXAJ3KdgW8IHdIWk6noMaPgZiIiEihJEkCvPSQvPQQEWb7Ve9gsECczYNIygN8XSAHe3B1CmrUGIiJiIgIkk4NKdwHItTbNp0ivRAoNALZpbBml9pGjQPdbaPGesYHalz4HU1ERER25dMpEORuW7YtowjifLFt1Dg5HyI5H/DR20aNfV0gyRw1poaPgZiIiIgqJblpbatThPtAZJXYplPklQG5ZbDmlgFq2baecYAb4KnjlApqsBiIiYiI6KokWbKF3gA3iFLTpVFjowUivci2vrFebVu+LcANkqvG2SUT3RAGYiIiIrpukovGNtc4zBvIK7PNN84qAcrMl6ZUuGsvhWOuUkENAAMxERER3TBJkgAfF0g+LhCtrBDZpbZLROeW2tY2LjJCnMkFPHVoLfujmWcTZ5dMVCUGYiIiIropkkq+NKXCZIG4UGILxwUGoMCArupmOPncV8g3l8Gakg/J3xWSC6dVUP3BQExEREQ1RtKoIIV4ACEeEGVmiOwSZJ5MgR9c4SXrbZeLTswD3DSQmrhB8nMBXDU8IY+cSnZ2AURERNQ4SXo15Kae2Go+hZZv34vjchbgrbc9WGyCOJsH6750WP9KhfVkNkROKYTF6tyiSZE4QkxERES1LqMoB6lyIdp1CrRNq8gqgcgutS3jZrhstQpZArz1kHxdIPm5QNIxqlDt43cZERER1SlJo4IU7AEEe9hGhPPKbKPD2aWA0QLklNrun4JtaoWPCyRvPeClg6Tih9tU8xiIiYiIyGkklQz4uULyc4VoJWxTKS4GYhQYbPeLTRDnCgAJtguAlAdkDy3nHlONYCAmIiKiekGSJNsaxu5aoIWXbWpFbpltBDm3FDBYgHwDRL4BAgDUsm3U2FsPyUtvG01mQKZqYCAmIiKieknSqC4t5yaE7eIfuWUQebaQDLMVyLZNtRAAoJIALz0kL50tILtrIckMyHRtDMRERERU70mSBLhobOsXh3jYAnKhESKvDCK/zDa9wiIuzT8GbCfoeeogXbzBQwtJwyvnUUUMxERERNTgSNKlsAt42QJykdE2nSK/DMg32EaQ82wjyqJ8Rxc1JA+dbV8PLeDGUWRiICYiIqJGQJIkwENnC7vNPG0BucQEkW+7Wp4oNAClZqDUDFFqBjKLL40iu2tt4djz4v46FeciKwwDMRERETU6kiTZRn/dtECIBwBAmCy2aRblAbnQaBtFLjBAFBiA1MJLJ+uVn9xX/q+LmiG5EWMgJiIiIkWQNCrA1wWSrwsA2EaRS822cFxggCg0AsVGh6kWAC6dsOd2RUh21XC6RSPBQExERESKJEmSLdS6aoBAdwCAsAqg2AhRZLTNSS4yAsUm2wl75SPJuBiSJdhCsqvGtuSbmxZw0wBaTrloaBiIiYiIiC6S5MvmIl9kn498eUguMtpCcvl94NKJe2rZFpBdNRenbVz8V82r7NVXTv/KfPjhhwgPD4der0f37t3x+++/V9l227ZtkCSpwu3YsWN1WDEREREpiSRJkNy0kAPdIbf0hapzEOSezSHfEgK5XRNIoV6Q/F0Bl4vjjGar7QIi6UUQp3JgPXge1l0psPx5DpYjmbAm5sJ6vgii0GC7dDU5nVNHiNevX49nnnkGH374IXr16oXly5djyJAhOHr0KFq0aFHlfsePH4enp6f9fpMmTeqiXCIiIiIAl9ZFhovGFoYvEtaLo8nFxouXnb445cJosV1pz3DxstS4bERZp7o0dePyf7lmcp1xaiBevHgxHnnkEUyePBkAsGTJEvz8889YunQpFixYUOV+AQEB8Pb2rqMqiYiIiK6PJF92+enLCJPlYlA22eYol5iAEhNgsl4MyhcvU43LgrJWZVvdwk3rEJShkTlHuYY5LRAbjUbs27cPL774osP2QYMGYdeuXVfdt2vXrigrK0O7du3w0ksvoX///lW2NRgMMBgM9vsFBQU3VzgRERHRDZI0KsBLZbuk9GUcgnKpyRaUy0eUL95E/mUn8gG2OcqVjChz/eTqc1ogzsrKgsViQWBgoMP2wMBAZGRkVLpPcHAwPvroI3Tv3h0GgwGffvopBgwYgG3btqFPnz6V7rNgwQLMnz+/xusnIiIiullVBmWz1RaUL44k20eUy8yOayfjsqAsS45B2e1iUNZzDeVrcfoqE1d+gYQQVX7RIiMjERkZab8fExODlJQUvPXWW1UG4lmzZmH69On2+wUFBWjevHkNVE5ERERUOyS1fNmlqS+xz1G+MiiXmgBrFateSLgiKGsvBWWuowzAiYHY398fKpWqwmhwZmZmhVHjq7ntttuwbt26Kh/X6XTQ6XRVPk5ERETUUFQ5R/niRUYqDctWcfEEP5Otrf1gsJ0UWD7lonypOBflXXDEaYFYq9Wie/fuiIuLw6hRo+zb4+LiMHLkyOs+Tnx8PIKDg2ujRCIiIqIGofwiI3DV4PIoK4SwTbO4MigXXwzK5ffL25f/x0V9aVTZTQu9SYZe7RjCGxOnTpmYPn06HnroIURHRyMmJgYfffQRkpOTMWXKFAC26Q6pqalYu3YtANsqFGFhYWjfvj2MRiPWrVuH2NhYxMbGOvNlEBEREdVLDsvD+V3aLoSwrW5hD8iXrXxhuTjaXGqGyLYtEdcGbsie8xNS001VPFPD5tRAPHbsWGRnZ+OVV15Beno6OnTogB9//BGhoaEAgPT0dCQnJ9vbG41GzJgxA6mpqXBxcUH79u3xww8/YOjQoc56CUREREQNjiRJgF5tm0fs62LfLoSwrW5x2UiyKDHBXFgGtSzD5Or0a7rVCqefVPfEE0/giSeeqPSxNWvWONyfOXMmZs6cWQdVERERESmPJEmATg3o1JB8LgXlQ8ePYMRzE/DT0DgnVld7GmfMJyIiIqKaIwGZxbm2pd0aIQZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0BmIiIiIiUjQGYiIiIiJSNAZiIiIiIlI0pwfiDz/8EOHh4dDr9ejevTt+//33q7bfvn07unfvDr1ej4iICCxbtqyOKiUiIiKixsipgXj9+vV45plnMGfOHMTHx6N3794YMmQIkpOTK22fmJiIoUOHonfv3oiPj8fs2bPx9NNPIzY2to4rJyIiIqLGwqmBePHixXjkkUcwefJkREVFYcmSJWjevDmWLl1aaftly5ahRYsWWLJkCaKiojB58mRMmjQJb731Vh1XTkRERESNhdpZT2w0GrFv3z68+OKLDtsHDRqEXbt2VbrP7t27MWjQIIdtgwcPxsqVK2EymaDRaCrsYzAYYDAY7Pfz8/MBAAUFBTf7Eq5bUVERAGD/iSMoKi2ps+elmpGQdAoAcCTxOPRurk6uhqqDX8OGj1/Dho1fv4bvRMoZALZMUxcZqvw5hBC1/lzlT+QUqampAoDYuXOnw/bXXntNtGnTptJ9WrduLV577TWHbTt37hQARFpaWqX7zJs3TwDgjTfeeOONN954462B3VJSUmomeF6D00aIy0mS5HBfCFFh27XaV7a93KxZszB9+nT7favVipycHPj5+VXYp6CgAM2bN0dKSgo8PT1v6HUoEfvr+rGvbgz76/qxr24M++v6sa9uDPvr+l1PXwkhUFhYiJCQkDqpyWmB2N/fHyqVChkZGQ7bMzMzERgYWOk+QUFBlbZXq9Xw8/OrdB+dTgedTuewzdvb+6q1eXp68pv5BrC/rh/76sawv64f++rGsL+uH/vqxrC/rt+1+srLy6vOanHaSXVarRbdu3dHXFycw/a4uDj07Nmz0n1iYmIqtN+yZQuio6MrnT9MRERERHQtTl1lYvr06VixYgVWrVqFhIQEPPvss0hOTsaUKVMA2KY7jB8/3t5+ypQpSEpKwvTp05GQkIBVq1Zh5cqVmDFjhrNeAhERERE1cE6dQzx27FhkZ2fjlVdeQXp6Ojp06IAff/wRoaGhAID09HSHNYnDw8Px448/4tlnn8UHH3yAkJAQvPfeexgzZkyN1KPT6TBv3rwKUyyocuyv68e+ujHsr+vHvrox7K/rx766Meyv61cf+0oSoq7WsyAiIiIiqn+cfulmIiIiIiJnYiAmIiIiIkVjICYiIiIiRWMgJiIiIiJFa9CBeOnSpejUqZN9YeeYmBj89NNP9seFEHj55ZcREhICFxcX9OvXD//884/DMQwGA5566in4+/vDzc0Nd999N86dO+fQJjc3Fw899BC8vLzg5eWFhx56CHl5eQ5tkpOTMWLECLi5ucHf3x9PP/00jEZjrb32m7VgwQJIkoRnnnnGvo39dcnLL78MSZIcbkFBQfbH2VeOUlNTMW7cOPj5+cHV1RVdunTBvn377I+zvy4JCwur8L0lSRKefPJJAOyry5nNZrz00ksIDw+Hi4sLIiIi8Morr8BqtdrbsL8cFRYW4plnnkFoaChcXFzQs2dP/P333/bHldxfO3bswIgRIxASEgJJkvDNN984PF7f+ubw4cPo27cvXFxc0LRpU7zyyiuoq3UQrtVXGzZswODBg+Hv7w9JknDgwIEKx2hwfVUnF4iuJZs2bRI//PCDOH78uDh+/LiYPXu20Gg04siRI0IIId544w3h4eEhYmNjxeHDh8XYsWNFcHCwKCgosB9jypQpomnTpiIuLk7s379f9O/fX3Tu3FmYzWZ7m7vuukt06NBB7Nq1S+zatUt06NBBDB8+3P642WwWHTp0EP379xf79+8XcXFxIiQkREydOrXuOuMG/PXXXyIsLEx06tRJTJs2zb6d/XXJvHnzRPv27UV6err9lpmZaX+cfXVJTk6OCA0NFRMnThR//vmnSExMFL/88os4deqUvQ3765LMzEyH76u4uDgBQGzdulUIwb663H//+1/h5+cnvv/+e5GYmCi+/vpr4e7uLpYsWWJvw/5y9O9//1u0a9dObN++XZw8eVLMmzdPeHp6inPnzgkhlN1fP/74o5gzZ46IjY0VAMTGjRsdHq9PfZOfny8CAwPFfffdJw4fPixiY2OFh4eHeOutt2qvgy5zrb5au3atmD9/vvj4448FABEfH1/hGA2trxp0IK6Mj4+PWLFihbBarSIoKEi88cYb9sfKysqEl5eXWLZsmRBCiLy8PKHRaMSXX35pb5OamipkWRabN28WQghx9OhRAUDs2bPH3mb37t0CgDh27JgQwvaNI8uySE1Ntbf54osvhE6nE/n5+bX6em9UYWGhaN26tYiLixN9+/a1B2L2l6N58+aJzp07V/oY+8rRCy+8IG6//fYqH2d/Xd20adNEy5YthdVqZV9dYdiwYWLSpEkO20aPHi3GjRsnhOD31pVKSkqESqUS33//vcP2zp07izlz5rC/LnNlyKtvffPhhx8KLy8vUVZWZm+zYMECERISIqxWaw32xLVVFojLJSYmVhqIG2JfNegpE5ezWCz48ssvUVxcjJiYGCQmJiIjIwODBg2yt9HpdOjbty927doFANi3bx9MJpNDm5CQEHTo0MHeZvfu3fDy8sKtt95qb3PbbbfBy8vLoU2HDh0QEhJibzN48GAYDAaHj43rgyeffBLDhg3DnXfe6bCd/VXRyZMnERISgvDwcNx33304c+YMAPbVlTZt2oTo6Gjce++9CAgIQNeuXfHxxx/bH2d/Vc1oNGLdunWYNGkSJEliX13h9ttvx6+//ooTJ04AAA4ePIg//vgDQ4cOBcDvrSuZzWZYLBbo9XqH7S4uLvjjjz/YX1dR3/pm9+7d6Nu3r8OFKwYPHoy0tDScPXu25jughjXEvmrwgfjw4cNwd3eHTqfDlClTsHHjRrRr1w4ZGRkAgMDAQIf2gYGB9scyMjKg1Wrh4+Nz1TYBAQEVnjcgIMChzZXP4+PjA61Wa29TH3z55ZfYv38/FixYUOEx9pejW2+9FWvXrsXPP/+Mjz/+GBkZGejZsyeys7PZV1c4c+YMli5ditatW+Pnn3/GlClT8PTTT2Pt2rUA+L11Nd988w3y8vIwceJEAOyrK73wwgu4//770bZtW2g0GnTt2hXPPPMM7r//fgDsryt5eHggJiYGr776KtLS0mCxWLBu3Tr8+eefSE9PZ39dRX3rm8ralN+vj/13pYbYV069dHNNiIyMxIEDB5CXl4fY2FhMmDAB27dvtz8uSZJDeyFEhW1XurJNZe2r08aZUlJSMG3aNGzZsqXC6MHl2F82Q4YMsf+/Y8eOiImJQcuWLfHJJ5/gtttuA8C+Kme1WhEdHY3XX38dANC1a1f8888/WLp0KcaPH29vx/6qaOXKlRgyZIjD6AfAviq3fv16rFu3Dp9//jnat2+PAwcO4JlnnkFISAgmTJhgb8f+uuTTTz/FpEmT0LRpU6hUKnTr1g0PPPAA9u/fb2/D/qpafeqbymqpat+Goj73VYMfIdZqtWjVqhWio6OxYMECdO7cGe+++659RYAr/zrIzMy0/+UQFBQEo9GI3Nzcq7Y5f/58hee9cOGCQ5srnyc3Nxcmk6nCXy3Osm/fPmRmZqJ79+5Qq9VQq9XYvn073nvvPajV6ir/mlJqf13Jzc0NHTt2xMmTJ/m9dYXg4GC0a9fOYVtUVBSSk5MBgP1VhaSkJPzyyy+YPHmyfRv7ytHzzz+PF198Effddx86duyIhx56CM8++6z9Uy72V0UtW7bE9u3bUVRUhJSUFPz1118wmUwIDw9nf11FfeubytpkZmYCqDiKXR81xL5q8IH4SkIIGAwG+5s/Li7O/pjRaMT27dvRs2dPAED37t2h0Wgc2qSnp+PIkSP2NjExMcjPz8dff/1lb/Pnn38iPz/foc2RI0eQnp5ub7NlyxbodDp07969Vl/v9RowYAAOHz6MAwcO2G/R0dF48MEHceDAAURERLC/rsJgMCAhIQHBwcH83rpCr169cPz4cYdtJ06cQGhoKACwv6qwevVqBAQEYNiwYfZt7CtHJSUlkGXHX1Mqlcq+7Br7q2pubm4IDg5Gbm4ufv75Z4wcOZL9dRX1rW9iYmKwY8cOh+XFtmzZgpCQEISFhdV8B9SwBtlX1336XT00a9YssWPHDpGYmCgOHTokZs+eLWRZFlu2bBFC2JZQ8fLyEhs2bBCHDx8W999/f6VLqDRr1kz88ssvYv/+/eKOO+6odFmQTp06id27d4vdu3eLjh07VrosyIABA8T+/fvFL7/8Ipo1a1bvluO50uWrTAjB/rrcc889J7Zt2ybOnDkj9uzZI4YPHy48PDzE2bNnhRDsq8v99ddfQq1Wi9dee02cPHlSfPbZZ8LV1VWsW7fO3ob95chisYgWLVqIF154ocJj7KtLJkyYIJo2bWpfdm3Dhg3C399fzJw5096G/eVo8+bN4qeffhJnzpwRW7ZsEZ07dxY9evQQRqNRCKHs/iosLBTx8fEiPj5eABCLFy8W8fHxIikpSQhRv/omLy9PBAYGivvvv18cPnxYbNiwQXh6etbZsmvX6qvs7GwRHx8vfvjhBwFAfPnllyI+Pl6kp6fbj9HQ+qpBB+JJkyaJ0NBQodVqRZMmTcSAAQPsYVgI2zIq8+bNE0FBQUKn04k+ffqIw4cPOxyjtLRUTJ06Vfj6+goXFxcxfPhwkZyc7NAmOztbPPjgg8LDw0N4eHiIBx98UOTm5jq0SUpKEsOGDRMuLi7C19dXTJ061WEJkProykDM/rqkfP1JjUYjQkJCxOjRo8U///xjf5x95ei7774THTp0EDqdTrRt21Z89NFHDo+zvxz9/PPPAoA4fvx4hcfYV5cUFBSIadOmiRYtWgi9Xi8iIiLEnDlzhMFgsLdhfzlav369iIiIEFqtVgQFBYknn3xS5OXl2R9Xcn9t3bpVAKhwmzBhghCi/vXNoUOHRO/evYVOpxNBQUHi5ZdfrrMl167VV6tXr6708Xnz5tmP0dD6ShKiji57QkRERERUDzW6OcRERERERDeCgZiIiIiIFI2BmIiIiIgUjYGYiIiIiBSNgZiIiIiIFI2BmIiIiIgUjYGYiIiIiBSNgZiIiIiIFI2BmIioAVqzZg28vb2dXQYRUaPAQExE5ASZmZl47LHH0KJFC+h0OgQFBWHw4MHYvXu3s0sjIlIctbMLICJSojFjxsBkMuGTTz5BREQEzp8/j19//RU5OTl1VoPRaIRWq62z5yMiqq84QkxEVMfy8vLwxx9/4M0330T//v0RGhqKHj16YNasWRg2bBgAYPHixejYsSPc3NzQvHlzPPHEEygqKqrymKdPn8bIkSMRGBgId3d33HLLLfjll18c2oSFheG///0vJk6cCC8vLzz66KO44447MHXqVId22dnZ0Ol0+O2332r+xRMR1UMMxEREdczd3R3u7u745ptvYDAYKm0jyzLee+89HDlyBJ988gl+++03zJw5s8pjFhUVYejQofjll18QHx+PwYMHY8SIEUhOTnZot2jRInTo0AH79u3D3LlzMXnyZHz++ecOdXz22WcICQlB//79a+YFExHVc5IQQji7CCIipYmNjcWjjz6K0tJSdOvWDX379sV9992HTp06Vdr+66+/xuOPP46srCwAtpPqnnnmGeTl5VX5HO3bt8fjjz9uHwEOCwtD165dsXHjRnsbg8GAkJAQLF26FP/+978BAF27dsU999yDefPm1dCrJSKq3zhCTETkBGPGjEFaWho2bdqEwYMHY9u2bejWrRvWrFkDANi6dSsGDhyIpk2bwsPDA+PHj0d2djaKi4srPV5xcTFmzpyJdu3awdvbG+7u7jh27FiFEeLo6GiH+zqdDuPGjcOqVasAAAcOHMDBgwcxceLEGn/NRET1FQMxEZGT6PV6DBw4EP/5z3+wa9cuTJw4EfPmzUNSUhKGDh2KDh06IDY2Fvv27cMHH3wAADCZTJUe6/nnn0dsbCxee+01/P777zhw4AA6duwIo9Ho0M7Nza3CvpMnT0ZcXBzOnTuHVatWYcCAAQgNDa35F0xEVE9xlQkionqiXbt2+Oabb7B3716YzWa8/fbbkGXbuMVXX3111X1///13TJw4EaNGjQJgm1N89uzZ63rejh07Ijo6Gh9//DE+//xz/O9//7up10FE1NAwEBMR1bHs7Gzce++9mDRpEjp16gQPDw/s3bsXCxcuxMiRI9GyZUuYzWb873//w4gRI7Bz504sW7bsqsds1aoVNmzYgBEjRkCSJMydOxdWq/W6a5o8eTKmTp0KV1dXe6gmIlIKTpkgIqpj7u7uuPXWW/HOO++gT58+6NChA+bOnYtHH30U77//Prp06YLFixfjzTffRIcOHfDZZ59hwYIFVz3mO++8Ax8fH/Ts2RMjRozA4MGD0a1bt+uu6f7774darcYDDzwAvV5/sy+RiKhB4SoTRESElJQUhIWF4e+//76hIE1E1BgwEBMRKZjJZEJ6ejpefPFFJCUlYefOnc4uiYioznHKBBGRgu3cuROhoaHYt2/fNecpExE1VhwhJiIiIiJF4wgxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKRoDMREREREpGgMxERERESkaAzERERERKdr/BxVdLhh3CT3oAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "df = pd.read_csv('data/Employee_Salaries.csv')\n",
    "# Filter out rows where 'Salary' is <= 10000\n",
    "df_salary_filtered = df[df['Salary'] > 10000]\n",
    "df_salary_filtered['Department'].unique() ## checking departments\n",
    "\n",
    "# # # Define the list of departments to analyze, in this case I'm inspecting all histograms for annual salaried workers\n",
    "department_list_to_analyse = ['AGR', 'AUD', 'CAD', 'CCC', 'CIR', 'CIT', 'CLK', 'CMD', 'COM',\n",
    "       'COR', 'CUL', 'CVB', 'CWA', 'ECC', 'ECO', 'EMS', 'FIN', 'FIR',\n",
    "       'GRD', 'HNP', 'HRD', 'HSD', 'JUV', 'LIB', 'MSB', 'MUS', 'OEM',\n",
    "       'PAR', 'PHD', 'PLN', 'POL', 'PUD', 'PWD', 'REA', 'RMO', 'SHF',\n",
    "       'STR', 'TRE']\n",
    "\n",
    "# Filter the DataFrame to include only the departments in department_list_to_analyse\n",
    "df_salary_filtered_dept_slice = df_salary_filtered[df_salary_filtered['Department'].isin(department_list_to_analyse)]\n",
    "\n",
    "# Define a color palette with unique colors for each department\n",
    "color_palette = sns.color_palette(\"Set1\", n_colors=len(department_list_to_analyse))\n",
    "\n",
    "# Loop through each department in department_list_to_analyse and plot a histogram\n",
    "for i, department in enumerate(department_list_to_analyse):\n",
    "    plt.figure(figsize=(8, 5))\n",
    "    sns.histplot(data=df_salary_filtered_dept_slice[df_salary_filtered_dept_slice['Department'] == department], \n",
    "                 x='Salary', kde=True, bins='auto', color=color_palette[i], legend=True)\n",
    "    plt.title(f\"Histogram of Salary for Department: {department}\")\n",
    "    plt.xlabel(\"Salary\")\n",
    "    plt.ylabel(\"Frequency\")\n",
    "#     plt.savefig(f\"data/exported/AnnualSalary_Histogram_{department}.png\") # Saves each department as a separate .png file, commented out for presentation\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da963b39",
   "metadata": {},
   "source": [
    "The following code below will save all histograms for annual salaried employees into a single .png file onto local drive, it has been commented out for presentation. Images can be found in github under \"Histogram_All_Departments.png\"\n",
    "\n",
    "It accomplishes the same plots as above, just that it'll save all plots into a single file as specified by the directory & the file name below:\n",
    "\"data/exported/AnnualSalary_Histogram_All_Departments.png\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "429687bb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# import pandas as pd\n",
    "# import matplotlib.pyplot as plt\n",
    "# import seaborn as sns\n",
    "\n",
    "# df = pd.read_csv('data/Employee_Salaries.csv')\n",
    "# # Filter out rows where 'Salary' is <= 10000\n",
    "# df_salary_filtered = df[df['Salary'] > 10000]\n",
    "# df_salary_filtered['Department'].unique() ## checking departments\n",
    "\n",
    "# # # # Define the list of departments to analyze, in this case I'm inspecting all histograms for annual salaried workers\n",
    "# department_list_to_analyse = ['AGR', 'AUD', 'CAD', 'CCC', 'CIR', 'CIT', 'CLK', 'CMD', 'COM',\n",
    "#        'COR', 'CUL', 'CVB', 'CWA', 'ECC', 'ECO', 'EMS', 'FIN', 'FIR',\n",
    "#        'GRD', 'HNP', 'HRD', 'HSD', 'JUV', 'LIB', 'MSB', 'MUS', 'OEM',\n",
    "#        'PAR', 'PHD', 'PLN', 'POL', 'PUD', 'PWD', 'REA', 'RMO', 'SHF',\n",
    "#        'STR', 'TRE']\n",
    "\n",
    "# # Filter the DataFrame to include only the departments in department_list_to_analyse\n",
    "# df_salary_filtered_dept_slice = df_salary_filtered[df_salary_filtered['Department'].isin(department_list_to_analyse)]\n",
    "\n",
    "# # Define a color palette with unique colors for each department\n",
    "# color_palette = sns.color_palette(\"Set1\", n_colors=len(department_list_to_analyse))\n",
    "\n",
    "# # Create a single figure with multiple subplots\n",
    "# fig, axs = plt.subplots(nrows=len(department_list_to_analyse), figsize=(8, 5 * len(department_list_to_analyse)))\n",
    "\n",
    "# # Loop through each department in department_list_to_analyse and plot a histogram\n",
    "# for i, department in enumerate(department_list_to_analyse):\n",
    "#     sns.histplot(data=df_salary_filtered_dept_slice[df_salary_filtered_dept_slice['Department'] == department], \n",
    "#                  x='Salary', kde=True, bins='auto', color=color_palette[i], legend=True, ax=axs[i])\n",
    "#     axs[i].set_title(f\"Histogram of Salary for Department: {department}\")\n",
    "#     axs[i].set_xlabel(\"Salary\")\n",
    "#     axs[i].set_ylabel(\"Frequency\")\n",
    "\n",
    "# # Adjust layout to avoid overlapping titles\n",
    "# plt.tight_layout()\n",
    "\n",
    "# # Save the entire figure with all subplots as a single .png file\n",
    "# plt.savefig(\"data/exported/AnnualSalary_Histogram_All_Departments.png\")\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86af8e06",
   "metadata": {},
   "source": [
    "As observed, with the exception of Departments AUD, OEM, PHD, RMO, most of the departments are mostly right-skewed as well. Hence emphasis will be placed on CV for evaulation"
   ]
  },
  {
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"
    }
   },
   "cell_type": "markdown",
   "id": "ae0510f5",
   "metadata": {},
   "source": [
    "👏 Findings & Recommendations based on final SQL code output 👏\n",
    "---\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "> **OVERALL GOAL:** \n",
    "> - Provide commentary on recommendations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95d2c073",
   "metadata": {},
   "source": [
    "Below are summary statistics of the SQL ouput:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "901d5e08",
   "metadata": {
    "scrolled": true
   },
   "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>Department</th>\n",
       "      <th>Dept_Std_Dev_Salary</th>\n",
       "      <th>Dept_Avg_Salary</th>\n",
       "      <th>CoefficientOfVariation</th>\n",
       "      <th>Outlier_Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PWD</td>\n",
       "      <td>22379.82</td>\n",
       "      <td>54081.39</td>\n",
       "      <td>41</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>POL</td>\n",
       "      <td>19520.08</td>\n",
       "      <td>64627.41</td>\n",
       "      <td>30</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HSD</td>\n",
       "      <td>20283.92</td>\n",
       "      <td>57033.48</td>\n",
       "      <td>36</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PAR</td>\n",
       "      <td>18245.89</td>\n",
       "      <td>48997.58</td>\n",
       "      <td>37</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PUD</td>\n",
       "      <td>21055.34</td>\n",
       "      <td>53733.42</td>\n",
       "      <td>39</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SHF</td>\n",
       "      <td>17918.59</td>\n",
       "      <td>58587.35</td>\n",
       "      <td>31</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CIT</td>\n",
       "      <td>23292.89</td>\n",
       "      <td>85091.31</td>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>FIR</td>\n",
       "      <td>18007.29</td>\n",
       "      <td>72818.45</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>MUS</td>\n",
       "      <td>22527.68</td>\n",
       "      <td>48815.84</td>\n",
       "      <td>46</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LIB</td>\n",
       "      <td>19056.55</td>\n",
       "      <td>51307.80</td>\n",
       "      <td>37</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>EMS</td>\n",
       "      <td>21898.89</td>\n",
       "      <td>70420.29</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PLN</td>\n",
       "      <td>22612.20</td>\n",
       "      <td>63219.85</td>\n",
       "      <td>36</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CWA</td>\n",
       "      <td>36869.17</td>\n",
       "      <td>77204.04</td>\n",
       "      <td>48</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>TRE</td>\n",
       "      <td>20981.09</td>\n",
       "      <td>53106.69</td>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>FIN</td>\n",
       "      <td>26706.54</td>\n",
       "      <td>70598.81</td>\n",
       "      <td>38</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CVB</td>\n",
       "      <td>20951.06</td>\n",
       "      <td>56411.43</td>\n",
       "      <td>37</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>HNP</td>\n",
       "      <td>15670.68</td>\n",
       "      <td>55625.91</td>\n",
       "      <td>28</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CCC</td>\n",
       "      <td>25641.94</td>\n",
       "      <td>47720.64</td>\n",
       "      <td>54</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>COR</td>\n",
       "      <td>24278.21</td>\n",
       "      <td>56679.49</td>\n",
       "      <td>43</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ECC</td>\n",
       "      <td>16469.23</td>\n",
       "      <td>52211.51</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>CMD</td>\n",
       "      <td>68918.53</td>\n",
       "      <td>107711.81</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>AGR</td>\n",
       "      <td>34426.74</td>\n",
       "      <td>63457.62</td>\n",
       "      <td>54</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>GRD</td>\n",
       "      <td>27133.11</td>\n",
       "      <td>53777.70</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>CUL</td>\n",
       "      <td>30134.15</td>\n",
       "      <td>63193.65</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>CAD</td>\n",
       "      <td>45415.42</td>\n",
       "      <td>93902.41</td>\n",
       "      <td>48</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>CLK</td>\n",
       "      <td>25562.12</td>\n",
       "      <td>59403.76</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>CIR</td>\n",
       "      <td>27153.87</td>\n",
       "      <td>64061.38</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>MSB</td>\n",
       "      <td>30136.39</td>\n",
       "      <td>71015.97</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>HRD</td>\n",
       "      <td>23888.98</td>\n",
       "      <td>65145.10</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>REA</td>\n",
       "      <td>24702.58</td>\n",
       "      <td>66437.16</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>COM</td>\n",
       "      <td>24824.62</td>\n",
       "      <td>68566.75</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>ECO</td>\n",
       "      <td>24584.25</td>\n",
       "      <td>70854.24</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>AUD</td>\n",
       "      <td>35562.14</td>\n",
       "      <td>88504.13</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>STR</td>\n",
       "      <td>31000.12</td>\n",
       "      <td>76835.76</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>OEM</td>\n",
       "      <td>28519.86</td>\n",
       "      <td>72316.82</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>PHD</td>\n",
       "      <td>20939.37</td>\n",
       "      <td>56395.66</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>RMO</td>\n",
       "      <td>23440.30</td>\n",
       "      <td>64189.17</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>JUV</td>\n",
       "      <td>13637.09</td>\n",
       "      <td>52366.34</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Department  Dept_Std_Dev_Salary  Dept_Avg_Salary  CoefficientOfVariation  \\\n",
       "0         PWD             22379.82         54081.39                      41   \n",
       "1         POL             19520.08         64627.41                      30   \n",
       "2         HSD             20283.92         57033.48                      36   \n",
       "3         PAR             18245.89         48997.58                      37   \n",
       "4         PUD             21055.34         53733.42                      39   \n",
       "5         SHF             17918.59         58587.35                      31   \n",
       "6         CIT             23292.89         85091.31                      27   \n",
       "7         FIR             18007.29         72818.45                      25   \n",
       "8         MUS             22527.68         48815.84                      46   \n",
       "9         LIB             19056.55         51307.80                      37   \n",
       "10        EMS             21898.89         70420.29                      31   \n",
       "11        PLN             22612.20         63219.85                      36   \n",
       "12        CWA             36869.17         77204.04                      48   \n",
       "13        TRE             20981.09         53106.69                      40   \n",
       "14        FIN             26706.54         70598.81                      38   \n",
       "15        CVB             20951.06         56411.43                      37   \n",
       "16        HNP             15670.68         55625.91                      28   \n",
       "17        CCC             25641.94         47720.64                      54   \n",
       "18        COR             24278.21         56679.49                      43   \n",
       "19        ECC             16469.23         52211.51                      32   \n",
       "20        CMD             68918.53        107711.81                      64   \n",
       "21        AGR             34426.74         63457.62                      54   \n",
       "22        GRD             27133.11         53777.70                      50   \n",
       "23        CUL             30134.15         63193.65                      48   \n",
       "24        CAD             45415.42         93902.41                      48   \n",
       "25        CLK             25562.12         59403.76                      43   \n",
       "26        CIR             27153.87         64061.38                      42   \n",
       "27        MSB             30136.39         71015.97                      42   \n",
       "28        HRD             23888.98         65145.10                      37   \n",
       "29        REA             24702.58         66437.16                      37   \n",
       "30        COM             24824.62         68566.75                      36   \n",
       "31        ECO             24584.25         70854.24                      35   \n",
       "32        AUD             35562.14         88504.13                      40   \n",
       "33        STR             31000.12         76835.76                      40   \n",
       "34        OEM             28519.86         72316.82                      39   \n",
       "35        PHD             20939.37         56395.66                      37   \n",
       "36        RMO             23440.30         64189.17                      37   \n",
       "37        JUV             13637.09         52366.34                      26   \n",
       "\n",
       "    Outlier_Count  \n",
       "0              47  \n",
       "1              37  \n",
       "2              24  \n",
       "3              18  \n",
       "4              17  \n",
       "5              14  \n",
       "6              11  \n",
       "7               9  \n",
       "8               6  \n",
       "9               6  \n",
       "10              6  \n",
       "11              5  \n",
       "12              3  \n",
       "13              3  \n",
       "14              3  \n",
       "15              3  \n",
       "16              3  \n",
       "17              2  \n",
       "18              2  \n",
       "19              2  \n",
       "20              1  \n",
       "21              1  \n",
       "22              1  \n",
       "23              1  \n",
       "24              1  \n",
       "25              1  \n",
       "26              1  \n",
       "27              1  \n",
       "28              1  \n",
       "29              1  \n",
       "30              1  \n",
       "31              1  \n",
       "32              0  \n",
       "33              0  \n",
       "34              0  \n",
       "35              0  \n",
       "36              0  \n",
       "37              0  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Stats = pd.read_csv('data/EmployeeSalaries_stddev_Avg_CV_Outlier.csv')\n",
    "df_Stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "577bf81f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 38 entries, 0 to 37\n",
      "Data columns (total 5 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   Department              38 non-null     object \n",
      " 1   Dept_Std_Dev_Salary     38 non-null     float64\n",
      " 2   Dept_Avg_Salary         38 non-null     float64\n",
      " 3   CoefficientOfVariation  38 non-null     int64  \n",
      " 4   Outlier_Count           38 non-null     int64  \n",
      "dtypes: float64(2), int64(2), object(1)\n",
      "memory usage: 1.6+ KB\n",
      "None\n",
      "Department                0\n",
      "Dept_Std_Dev_Salary       0\n",
      "Dept_Avg_Salary           0\n",
      "CoefficientOfVariation    0\n",
      "Outlier_Count             0\n",
      "dtype: int64\n",
      "       Dept_Std_Dev_Salary  Dept_Avg_Salary  CoefficientOfVariation  \\\n",
      "count            38.000000        38.000000               38.000000   \n",
      "mean          25640.702632     64642.845263               39.236842   \n",
      "std            9595.548731     13205.898196                8.224664   \n",
      "min           13637.090000     47720.640000               25.000000   \n",
      "25%           20942.292500     54467.520000               36.000000   \n",
      "50%           23664.640000     63338.735000               37.500000   \n",
      "75%           27148.680000     70790.382500               42.750000   \n",
      "max           68918.530000    107711.810000               64.000000   \n",
      "\n",
      "       Outlier_Count  \n",
      "count      38.000000  \n",
      "mean        6.131579  \n",
      "std        10.317058  \n",
      "min         0.000000  \n",
      "25%         1.000000  \n",
      "50%         2.000000  \n",
      "75%         6.000000  \n",
      "max        47.000000  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Display basic information about the DataFrame\n",
    "print(df_Stats.info())\n",
    "\n",
    "# Check for missing values\n",
    "print(df_Stats.isnull().sum())\n",
    "\n",
    "# Summarize numerical columns\n",
    "print(df_Stats.describe())"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "b65c80c7",
   "metadata": {},
   "source": [
    "<span style=\"font-size: 15px;\">Based on the SQL code output, below are the Histogram of selected departments selected for salary disparity review</span>\n",
    "![image-2.png](attachment:image-2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "412fb34c",
   "metadata": {},
   "source": [
    "EDA on the selected departments for review"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8112542f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter out rows where 'Salary' is > 10000\n",
    "df_salary_filtered = df[df['Salary'] > 10000]\n",
    "\n",
    "department_list_to_analyse = ['CMD','AGR','CCC','PWD','CAD']\n",
    "df_salary_filtered_dept_slice = df_salary_filtered[df_salary_filtered['Department'].isin(department_list_to_analyse)]\n",
    "df_salary_filtered_dept_slice['Department'].unique() ## checking if slice is correct\n",
    "\n",
    "## Visualization: Histogram for each department\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.histplot(data=df_salary_filtered_dept_slice, x='Salary', kde=True, \n",
    "             hue='Department',\n",
    "             bins='auto')\n",
    "plt.title(\"Histogram of Annual Salaried Employees by Department\")\n",
    "plt.xlabel(\"Salary\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d124176",
   "metadata": {},
   "source": [
    "Hard to visualize histogram, especially with PWD department having higher salary than other departments in the list. Let's replot it below in a separate plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8ca6c45a",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plotting salary distribution within departmental level, we also see that they are mostly right-skewed as well for the departments chosen\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Filter the DataFrame to include only salaries greater than or equal to 10000\n",
    "df_salary_filtered = df[df['Salary'] > 10000]\n",
    "\n",
    "# Define the list of departments to analyze\n",
    "department_list_to_analyse = ['CMD', 'AGR', 'CCC', 'PWD', 'CAD']\n",
    "\n",
    "# Filter the DataFrame to include only the departments in department_list_to_analyse\n",
    "df_salary_filtered_dept_slice = df_salary_filtered[df_salary_filtered['Department'].isin(department_list_to_analyse)]\n",
    "\n",
    "# Define a color palette with unique colors for each department\n",
    "color_palette = sns.color_palette(\"Set1\", n_colors=len(department_list_to_analyse))\n",
    "\n",
    "# Loop through each department in department_list_to_analyse and plot a histogram\n",
    "for i, department in enumerate(department_list_to_analyse):\n",
    "    plt.figure(figsize=(8, 5))\n",
    "    sns.histplot(data=df_salary_filtered_dept_slice[df_salary_filtered_dept_slice['Department'] == department], \n",
    "                 x='Salary', kde=True, bins='auto', color=color_palette[i], legend=True)\n",
    "    plt.title(f\"Histogram of Salary for Department: {department}\")\n",
    "    plt.xlabel(\"Salary\")\n",
    "    plt.ylabel(\"Frequency\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a70ae8b",
   "metadata": {},
   "source": [
    "Here, we observe that the histograms selected for salary disparity review are right skewed & does not follow a normal distribution [where Z-Test is normally assumed], hence more emphasis is placed on the CV value & standard deviation during salary disparity evaluation for departmental salary variance & discrepancy"
   ]
  },
  {
   "attachments": {
    "image-3.png": {
     "image/png": 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"
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    "image-6.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "cfa9ee1c",
   "metadata": {},
   "source": [
    "# Findings & Recommendations of departments to look into are below:\n",
    "\n",
    "![image-3.png](attachment:image-3.png)\n",
    "![image-6.png](attachment:image-6.png)\n",
    "\n",
    "Conclusion:\n",
    "PWD Department being flagged as having a high amount of salary spread is validated as it had the highest outlier count and has a moderately high CV value. However, Management should also look into the other departments listed in the plot above for salary discrepancy review"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21aa5e49",
   "metadata": {},
   "source": [
    "# 🥼🧪 Testing alternate Method, Determining Outliers via IQR, not included in Powerpoint as request is focused on departmental salary variance & discrepancy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e788478e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Box plot of overall dataset\n",
    "sns.boxplot(data=df)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2546f0a",
   "metadata": {},
   "source": [
    "Code Block used to plot the department with DESC count of outliers for each department based on the IQR_SCALE_VALUE modifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "54c81cdb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Count of outliers by departments in descending order via IQR-method:\n",
      " Department\n",
      "HSD    101\n",
      "SHF     91\n",
      "POL     85\n",
      "PWD     49\n",
      "MUS     16\n",
      "PUD     13\n",
      "COR     10\n",
      "FIR      9\n",
      "PAR      7\n",
      "CCC      5\n",
      "CIT      5\n",
      "ECC      3\n",
      "GRD      3\n",
      "CWA      3\n",
      "CIR      3\n",
      "REA      3\n",
      "PLN      2\n",
      "TRE      2\n",
      "LIB      1\n",
      "RMO      1\n",
      "MSB      1\n",
      "MCC      1\n",
      "AGR      1\n",
      "HRD      1\n",
      "FIN      1\n",
      "CUL      1\n",
      "COM      1\n",
      "CMD      1\n",
      "CLK      1\n",
      "CAD      1\n",
      "HNP      1\n",
      "JUV      0\n",
      "AUD      0\n",
      "OEM      0\n",
      "EMS      0\n",
      "PHD      0\n",
      "ECO      0\n",
      "CVB      0\n",
      "STR      0\n",
      "Name: Salary, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "## iqr_scale_value set to 1.5. Assuming a normally distributed dataset having a Gaussian Distribution, having an iqr_scale_value of 1.5 would theoretically capture outliers that fall outside the +/- 3 Std. Dev from the mean. This is commonly used in outlier detection with a typical Gaussian Distribution, which would typically represent the 0.15% of outlying data outside of a +/- 3 Std. Dev of a normally distributed graph.\n",
    "## Further tuning of the optimal iqr_scale_value to accurately decpict outlier detection can be explores, given this dataset is not normally distributed\n",
    "IQR_SCALE_VALUE = 1.5 ## parameter that controls the sensitivity of outlier detection, a higher value will result in fewer outliers being counted from both upper_bound & lower_bound parameters\n",
    "\n",
    "# Calculate the number of outliers for each department\n",
    "def count_outliers(s):\n",
    "    q1 = s.quantile(0.25)\n",
    "    q3 = s.quantile(0.75)\n",
    "    iqr = q3 - q1\n",
    "    lower_bound = q1 - IQR_SCALE_VALUE * iqr ## Define lower threshold limit as lower_bound, graphically this will affect the lower whisker length of the boxplot\n",
    "    upper_bound = q3 + IQR_SCALE_VALUE * iqr ## Define upper threshold limit as upper_bound, graphically this will affect the upper whisker length of the boxplot\n",
    "    return s[(s < lower_bound) | (s > upper_bound)].count() ## any point that falls outside the lower_bound and upper_bound will be treated as an 'outlier' point and be counted\n",
    "\n",
    "outliers_count_by_department = df.groupby('Department')['Salary'].apply(count_outliers)\n",
    "print(f\"Count of outliers by departments in descending order via IQR-method:\\n {outliers_count_by_department.sort_values(ascending=False)}\") ## printout of departments by DESC order based on the count of outliers beyond the upper threshold and \n",
    "\n",
    "# Sort the departments based on the count of outliers in descending order\n",
    "sorted_departments = outliers_count_by_department.sort_values(ascending=False).index\n",
    "\n",
    "#### Filter out the outliers based on iqr_scale_value ####\n",
    "Q1 = df['Salary'].quantile(0.25)\n",
    "Q3 = df['Salary'].quantile(0.75)\n",
    "IQR = Q3 - Q1\n",
    "df_filtered = df[~((df['Salary'] < (Q1 - IQR_SCALE_VALUE * IQR)) | (df['Salary'] > (Q3 + IQR_SCALE_VALUE * IQR)))]\n",
    "\n",
    "# Create the box plot segmented by 'Department' in the sorted order using the filtered data\n",
    "plt.figure(figsize=(20, 8))\n",
    "sns.boxplot(x='Department', y='Salary', data=df_filtered, order=sorted_departments)\n",
    "plt.title(\"IQR Plot: Salary Distribution by Department (Descending Order of Outliers)\")\n",
    "plt.xlabel(\"Department\")\n",
    "plt.ylabel(\"Salary\")\n",
    "\n",
    "# ### ORIGINAL BOX PLOT without taking into account of iqr_scale_value ####\n",
    "# plt.figure(figsize=(20, 8))\n",
    "# sns.boxplot(x='Department', y='Salary', data=df, order=sorted_departments)\n",
    "# ## Add a title and labels\n",
    "# plt.title(\"IQR Plot: Salary Distribution by Department (Descending Order of Outliers)\")\n",
    "# plt.xlabel(\"Department\")\n",
    "# plt.ylabel(\"Salary\")\n",
    "\n",
    "### Rotate the x-axis labels for better visibility\n",
    "### plt.xticks(rotation=45, ha='right')\n",
    "\n",
    "#### Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "3d015666",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "## Not included in Powerpoint\n",
    "# import seaborn as sns\n",
    "# import matplotlib.pyplot as plt\n",
    "\n",
    "# df_Stats = pd.read_csv('data/EmployeeSalaries_stddev_Avg_CV_Outlier.csv')\n",
    "# df_Stats\n",
    "\n",
    "# sns.set_theme(style=\"whitegrid\")\n",
    "\n",
    "# # Initialize the matplotlib figure\n",
    "# f, ax = plt.subplots(figsize=(15, 15))\n",
    "\n",
    "# # Sort departments by Coefficient of Variation in descending order\n",
    "# df_outlier_sort = df_Stats.sort_values(by='Outlier_Count', ascending=False)\n",
    "\n",
    "# # Define a color palette for the continuous color scale based on 'CoefficientOfVariation'\n",
    "# pal = sns.color_palette(\"coolwarm\", n_colors=len(df_Stats))\n",
    "\n",
    "# # Plot the barplot with continuous color scale based on 'CoefficientOfVariation'\n",
    "# sns.barplot(x=\"Department\", y='Outlier_Count', data=df_outlier_sort,\n",
    "#             label=\"Total\", color=\"lightblue\", saturation=0.8)\n",
    "\n",
    "# ax = sns.barplot(x=\"Department\", y='Outlier_Count',\n",
    "#                  data=df_outlier_sort,\n",
    "#                  hue='CoefficientOfVariation',  # Use 'CoefficientOfVariation' for the continuous color scale\n",
    "#                  palette=pal,  # Set the color palette\n",
    "#                  dodge=False)\n",
    "\n",
    "# # Remove the legend\n",
    "# ax.legend_.remove()\n",
    "\n",
    "# # Add a legend and informative axis label\n",
    "# ax.legend(ncol=2, loc=\"lower right\", frameon=True)\n",
    "# ax.set(ylabel=\"Stats\", xlabel=\"Department\")\n",
    "# sns.despine(left=True, bottom=True)\n",
    "\n",
    "# plt.title('Statistics Summary by Department', fontsize=16)\n",
    "\n",
    "# plt.show()"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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