{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "### so that u dont have warnings\n",
    "from warnings import filterwarnings\n",
    "filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Columns description\n",
    "\n",
    "1. url contains the url of the restaurant in the zomato website\n",
    "\n",
    "2. address contains the address of the restaurant in Bengaluru\n",
    "\n",
    "3. name contains the name of the restaurant\n",
    "\n",
    "4. online_order whether online ordering is available in the restaurant or not\n",
    "\n",
    "5. book_table table book option available or not\n",
    "\n",
    "6. rate contains the overall rating of the restaurant out of 5\n",
    "\n",
    "7. votes contains total number of rating for the restaurant as of the above mentioned date\n",
    "\n",
    "8. phone contains the phone number of the restaurant\n",
    "\n",
    "9. location contains the neighborhood in which the restaurant is located\n",
    "\n",
    "10. rest_type restaurant type\n",
    "\n",
    "11. dish_liked dishes people liked in the restaurant\n",
    "\n",
    "12. cuisines food styles, separated by comma\n",
    "\n",
    "13. approx_cost(for two people) contains the approximate cost for meal for two people\n",
    "\n",
    "14. reviews_list list of tuples containing reviews for the restaurant, each tuple\n",
    "\n",
    "15. menu_item contains list of menus available in the restaurant\n",
    "\n",
    "16. listed_in(type) type of meal\n",
    "\n",
    "17. listed_in(city) contains the neighborhood in which the restaurant is listed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>url</th>\n",
       "      <th>address</th>\n",
       "      <th>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.zomato.com/bangalore/jalsa-banasha...</td>\n",
       "      <td>942, 21st Main Road, 2nd Stage, Banashankari, ...</td>\n",
       "      <td>Jalsa</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1/5</td>\n",
       "      <td>775</td>\n",
       "      <td>080 42297555\\r\\n+91 9743772233</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Pasta, Lunch Buffet, Masala Papad, Paneer Laja...</td>\n",
       "      <td>North Indian, Mughlai, Chinese</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  A beautiful place to ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.zomato.com/bangalore/spice-elephan...</td>\n",
       "      <td>2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...</td>\n",
       "      <td>Spice Elephant</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1/5</td>\n",
       "      <td>787</td>\n",
       "      <td>080 41714161</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Momos, Lunch Buffet, Chocolate Nirvana, Thai G...</td>\n",
       "      <td>Chinese, North Indian, Thai</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Had been here for din...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.zomato.com/SanchurroBangalore?cont...</td>\n",
       "      <td>1112, Next to KIMS Medical College, 17th Cross...</td>\n",
       "      <td>San Churro Cafe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8/5</td>\n",
       "      <td>918</td>\n",
       "      <td>+91 9663487993</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Cafe, Casual Dining</td>\n",
       "      <td>Churros, Cannelloni, Minestrone Soup, Hot Choc...</td>\n",
       "      <td>Cafe, Mexican, Italian</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 3.0', \"RATED\\n  Ambience is not that ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.zomato.com/bangalore/addhuri-udupi...</td>\n",
       "      <td>1st Floor, Annakuteera, 3rd Stage, Banashankar...</td>\n",
       "      <td>Addhuri Udupi Bhojana</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7/5</td>\n",
       "      <td>88</td>\n",
       "      <td>+91 9620009302</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>Masala Dosa</td>\n",
       "      <td>South Indian, North Indian</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Great food and proper...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.zomato.com/bangalore/grand-village...</td>\n",
       "      <td>10, 3rd Floor, Lakshmi Associates, Gandhi Baza...</td>\n",
       "      <td>Grand Village</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8/5</td>\n",
       "      <td>166</td>\n",
       "      <td>+91 8026612447\\r\\n+91 9901210005</td>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Panipuri, Gol Gappe</td>\n",
       "      <td>North Indian, Rajasthani</td>\n",
       "      <td>600</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Very good restaurant ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url  \\\n",
       "0  https://www.zomato.com/bangalore/jalsa-banasha...   \n",
       "1  https://www.zomato.com/bangalore/spice-elephan...   \n",
       "2  https://www.zomato.com/SanchurroBangalore?cont...   \n",
       "3  https://www.zomato.com/bangalore/addhuri-udupi...   \n",
       "4  https://www.zomato.com/bangalore/grand-village...   \n",
       "\n",
       "                                             address                   name  \\\n",
       "0  942, 21st Main Road, 2nd Stage, Banashankari, ...                  Jalsa   \n",
       "1  2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...         Spice Elephant   \n",
       "2  1112, Next to KIMS Medical College, 17th Cross...        San Churro Cafe   \n",
       "3  1st Floor, Annakuteera, 3rd Stage, Banashankar...  Addhuri Udupi Bhojana   \n",
       "4  10, 3rd Floor, Lakshmi Associates, Gandhi Baza...          Grand Village   \n",
       "\n",
       "  online_order book_table   rate  votes                             phone  \\\n",
       "0          Yes        Yes  4.1/5    775    080 42297555\\r\\n+91 9743772233   \n",
       "1          Yes         No  4.1/5    787                      080 41714161   \n",
       "2          Yes         No  3.8/5    918                    +91 9663487993   \n",
       "3           No         No  3.7/5     88                    +91 9620009302   \n",
       "4           No         No  3.8/5    166  +91 8026612447\\r\\n+91 9901210005   \n",
       "\n",
       "       location            rest_type  \\\n",
       "0  Banashankari        Casual Dining   \n",
       "1  Banashankari        Casual Dining   \n",
       "2  Banashankari  Cafe, Casual Dining   \n",
       "3  Banashankari          Quick Bites   \n",
       "4  Basavanagudi        Casual Dining   \n",
       "\n",
       "                                          dish_liked  \\\n",
       "0  Pasta, Lunch Buffet, Masala Papad, Paneer Laja...   \n",
       "1  Momos, Lunch Buffet, Chocolate Nirvana, Thai G...   \n",
       "2  Churros, Cannelloni, Minestrone Soup, Hot Choc...   \n",
       "3                                        Masala Dosa   \n",
       "4                                Panipuri, Gol Gappe   \n",
       "\n",
       "                         cuisines approx_cost(for two people)  \\\n",
       "0  North Indian, Mughlai, Chinese                         800   \n",
       "1     Chinese, North Indian, Thai                         800   \n",
       "2          Cafe, Mexican, Italian                         800   \n",
       "3      South Indian, North Indian                         300   \n",
       "4        North Indian, Rajasthani                         600   \n",
       "\n",
       "                                        reviews_list menu_item  \\\n",
       "0  [('Rated 4.0', 'RATED\\n  A beautiful place to ...        []   \n",
       "1  [('Rated 4.0', 'RATED\\n  Had been here for din...        []   \n",
       "2  [('Rated 3.0', \"RATED\\n  Ambience is not that ...        []   \n",
       "3  [('Rated 4.0', \"RATED\\n  Great food and proper...        []   \n",
       "4  [('Rated 4.0', 'RATED\\n  Very good restaurant ...        []   \n",
       "\n",
       "  listed_in(type) listed_in(city)  \n",
       "0          Buffet    Banashankari  \n",
       "1          Buffet    Banashankari  \n",
       "2          Buffet    Banashankari  \n",
       "3          Buffet    Banashankari  \n",
       "4          Buffet    Banashankari  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#read dataset\n",
    "df=pd.read_csv('F:/Data Science projects/EDA/zomato-bangalore-restaurants/zomato.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(51717, 17)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "url                            object\n",
       "address                        object\n",
       "name                           object\n",
       "online_order                   object\n",
       "book_table                     object\n",
       "rate                           object\n",
       "votes                           int64\n",
       "phone                          object\n",
       "location                       object\n",
       "rest_type                      object\n",
       "dish_liked                     object\n",
       "cuisines                       object\n",
       "approx_cost(for two people)    object\n",
       "reviews_list                   object\n",
       "menu_item                      object\n",
       "listed_in(type)                object\n",
       "listed_in(city)                object\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8792"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df['name'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "url                                0\n",
       "address                            0\n",
       "name                               0\n",
       "online_order                       0\n",
       "book_table                         0\n",
       "rate                            7775\n",
       "votes                              0\n",
       "phone                           1208\n",
       "location                          21\n",
       "rest_type                        227\n",
       "dish_liked                     28078\n",
       "cuisines                          45\n",
       "approx_cost(for two people)      346\n",
       "reviews_list                       0\n",
       "menu_item                          0\n",
       "listed_in(type)                    0\n",
       "listed_in(city)                    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### getting all NAN features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['rate',\n",
       " 'phone',\n",
       " 'location',\n",
       " 'rest_type',\n",
       " 'dish_liked',\n",
       " 'cuisines',\n",
       " 'approx_cost(for two people)']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_na=[feature for feature in df.columns if df[feature].isnull().sum()>0]\n",
    "feature_na"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rate has 15.0337 % missing values\n",
      "phone has 2.3358 % missing values\n",
      "location has 0.0406 % missing values\n",
      "rest_type has 0.4389 % missing values\n",
      "dish_liked has 54.2916 % missing values\n",
      "cuisines has 0.087 % missing values\n",
      "approx_cost(for two people) has 0.669 % missing values\n"
     ]
    }
   ],
   "source": [
    "#% of missing values\n",
    "for feature in feature_na:\n",
    "    print('{} has {} % missing values'.format(feature,np.round(df[feature].isnull().sum()/len(df)*100,4)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['4.1/5', '3.8/5', '3.7/5', '3.6/5', '4.6/5', '4.0/5', '4.2/5',\n",
       "       '3.9/5', '3.1/5', '3.0/5', '3.2/5', '3.3/5', '2.8/5', '4.4/5',\n",
       "       '4.3/5', 'NEW', '2.9/5', '3.5/5', nan, '2.6/5', '3.8 /5', '3.4/5',\n",
       "       '4.5/5', '2.5/5', '2.7/5', '4.7/5', '2.4/5', '2.2/5', '2.3/5',\n",
       "       '3.4 /5', '-', '3.6 /5', '4.8/5', '3.9 /5', '4.2 /5', '4.0 /5',\n",
       "       '4.1 /5', '3.7 /5', '3.1 /5', '2.9 /5', '3.3 /5', '2.8 /5',\n",
       "       '3.5 /5', '2.7 /5', '2.5 /5', '3.2 /5', '2.6 /5', '4.5 /5',\n",
       "       '4.3 /5', '4.4 /5', '4.9/5', '2.1/5', '2.0/5', '1.8/5', '4.6 /5',\n",
       "       '4.9 /5', '3.0 /5', '4.8 /5', '2.3 /5', '4.7 /5', '2.4 /5',\n",
       "       '2.1 /5', '2.2 /5', '2.0 /5', '1.8 /5'], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['rate'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(axis='index',subset=['rate'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(43942, 17)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def split(x):\n",
    "    return x.split('/')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['rate']=df['rate'].apply(split)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>url</th>\n",
       "      <th>address</th>\n",
       "      <th>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.zomato.com/bangalore/jalsa-banasha...</td>\n",
       "      <td>942, 21st Main Road, 2nd Stage, Banashankari, ...</td>\n",
       "      <td>Jalsa</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1</td>\n",
       "      <td>775</td>\n",
       "      <td>080 42297555\\r\\n+91 9743772233</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Pasta, Lunch Buffet, Masala Papad, Paneer Laja...</td>\n",
       "      <td>North Indian, Mughlai, Chinese</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  A beautiful place to ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.zomato.com/bangalore/spice-elephan...</td>\n",
       "      <td>2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...</td>\n",
       "      <td>Spice Elephant</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1</td>\n",
       "      <td>787</td>\n",
       "      <td>080 41714161</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Momos, Lunch Buffet, Chocolate Nirvana, Thai G...</td>\n",
       "      <td>Chinese, North Indian, Thai</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Had been here for din...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.zomato.com/SanchurroBangalore?cont...</td>\n",
       "      <td>1112, Next to KIMS Medical College, 17th Cross...</td>\n",
       "      <td>San Churro Cafe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>918</td>\n",
       "      <td>+91 9663487993</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Cafe, Casual Dining</td>\n",
       "      <td>Churros, Cannelloni, Minestrone Soup, Hot Choc...</td>\n",
       "      <td>Cafe, Mexican, Italian</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 3.0', \"RATED\\n  Ambience is not that ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.zomato.com/bangalore/addhuri-udupi...</td>\n",
       "      <td>1st Floor, Annakuteera, 3rd Stage, Banashankar...</td>\n",
       "      <td>Addhuri Udupi Bhojana</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>88</td>\n",
       "      <td>+91 9620009302</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>Masala Dosa</td>\n",
       "      <td>South Indian, North Indian</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Great food and proper...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.zomato.com/bangalore/grand-village...</td>\n",
       "      <td>10, 3rd Floor, Lakshmi Associates, Gandhi Baza...</td>\n",
       "      <td>Grand Village</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>166</td>\n",
       "      <td>+91 8026612447\\r\\n+91 9901210005</td>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Panipuri, Gol Gappe</td>\n",
       "      <td>North Indian, Rajasthani</td>\n",
       "      <td>600</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Very good restaurant ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url  \\\n",
       "0  https://www.zomato.com/bangalore/jalsa-banasha...   \n",
       "1  https://www.zomato.com/bangalore/spice-elephan...   \n",
       "2  https://www.zomato.com/SanchurroBangalore?cont...   \n",
       "3  https://www.zomato.com/bangalore/addhuri-udupi...   \n",
       "4  https://www.zomato.com/bangalore/grand-village...   \n",
       "\n",
       "                                             address                   name  \\\n",
       "0  942, 21st Main Road, 2nd Stage, Banashankari, ...                  Jalsa   \n",
       "1  2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...         Spice Elephant   \n",
       "2  1112, Next to KIMS Medical College, 17th Cross...        San Churro Cafe   \n",
       "3  1st Floor, Annakuteera, 3rd Stage, Banashankar...  Addhuri Udupi Bhojana   \n",
       "4  10, 3rd Floor, Lakshmi Associates, Gandhi Baza...          Grand Village   \n",
       "\n",
       "  online_order book_table rate  votes                             phone  \\\n",
       "0          Yes        Yes  4.1    775    080 42297555\\r\\n+91 9743772233   \n",
       "1          Yes         No  4.1    787                      080 41714161   \n",
       "2          Yes         No  3.8    918                    +91 9663487993   \n",
       "3           No         No  3.7     88                    +91 9620009302   \n",
       "4           No         No  3.8    166  +91 8026612447\\r\\n+91 9901210005   \n",
       "\n",
       "       location            rest_type  \\\n",
       "0  Banashankari        Casual Dining   \n",
       "1  Banashankari        Casual Dining   \n",
       "2  Banashankari  Cafe, Casual Dining   \n",
       "3  Banashankari          Quick Bites   \n",
       "4  Basavanagudi        Casual Dining   \n",
       "\n",
       "                                          dish_liked  \\\n",
       "0  Pasta, Lunch Buffet, Masala Papad, Paneer Laja...   \n",
       "1  Momos, Lunch Buffet, Chocolate Nirvana, Thai G...   \n",
       "2  Churros, Cannelloni, Minestrone Soup, Hot Choc...   \n",
       "3                                        Masala Dosa   \n",
       "4                                Panipuri, Gol Gappe   \n",
       "\n",
       "                         cuisines approx_cost(for two people)  \\\n",
       "0  North Indian, Mughlai, Chinese                         800   \n",
       "1     Chinese, North Indian, Thai                         800   \n",
       "2          Cafe, Mexican, Italian                         800   \n",
       "3      South Indian, North Indian                         300   \n",
       "4        North Indian, Rajasthani                         600   \n",
       "\n",
       "                                        reviews_list menu_item  \\\n",
       "0  [('Rated 4.0', 'RATED\\n  A beautiful place to ...        []   \n",
       "1  [('Rated 4.0', 'RATED\\n  Had been here for din...        []   \n",
       "2  [('Rated 3.0', \"RATED\\n  Ambience is not that ...        []   \n",
       "3  [('Rated 4.0', \"RATED\\n  Great food and proper...        []   \n",
       "4  [('Rated 4.0', 'RATED\\n  Very good restaurant ...        []   \n",
       "\n",
       "  listed_in(type) listed_in(city)  \n",
       "0          Buffet    Banashankari  \n",
       "1          Buffet    Banashankari  \n",
       "2          Buffet    Banashankari  \n",
       "3          Buffet    Banashankari  \n",
       "4          Buffet    Banashankari  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['4.1', '3.8', '3.7', '3.6', '4.6', '4.0', '4.2', '3.9', '3.1',\n",
       "       '3.0', '3.2', '3.3', '2.8', '4.4', '4.3', 'NEW', '2.9', '3.5',\n",
       "       '2.6', '3.8 ', '3.4', '4.5', '2.5', '2.7', '4.7', '2.4', '2.2',\n",
       "       '2.3', '3.4 ', '-', '3.6 ', '4.8', '3.9 ', '4.2 ', '4.0 ', '4.1 ',\n",
       "       '3.7 ', '3.1 ', '2.9 ', '3.3 ', '2.8 ', '3.5 ', '2.7 ', '2.5 ',\n",
       "       '3.2 ', '2.6 ', '4.5 ', '4.3 ', '4.4 ', '4.9', '2.1', '2.0', '1.8',\n",
       "       '4.6 ', '4.9 ', '3.0 ', '4.8 ', '2.3 ', '4.7 ', '2.4 ', '2.1 ',\n",
       "       '2.2 ', '2.0 ', '1.8 '], dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['rate'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace('NEW',0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace('-',0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['rate']=df['rate'].astype(float)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### calculate avg rating of each resturant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b42220108>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('name')['rate'].mean().nlargest(20).plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>restaurant</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>#FeelTheROLL</td>\n",
       "      <td>3.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>#L-81 Cafe</td>\n",
       "      <td>3.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>#refuel</td>\n",
       "      <td>3.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1000 B.C</td>\n",
       "      <td>3.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100°C</td>\n",
       "      <td>3.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11 to 11 Express Biriyanis</td>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1131 Bar + Kitchen</td>\n",
       "      <td>4.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>12th Main - Grand Mercure</td>\n",
       "      <td>4.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1441 Pizzeria</td>\n",
       "      <td>4.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1522 - The Pub</td>\n",
       "      <td>4.212000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>154 Breakfast Club</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1722 Urban Bistro</td>\n",
       "      <td>4.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>18+ Ice Cafe</td>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1947</td>\n",
       "      <td>4.021429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1980s Games Cafe</td>\n",
       "      <td>3.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1992 Chats - Space</td>\n",
       "      <td>3.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1Q1</td>\n",
       "      <td>4.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1TO3 Kitchen</td>\n",
       "      <td>3.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2 Statez</td>\n",
       "      <td>3.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20 Char - Sterlings MAC Hotel</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              restaurant    rating\n",
       "0                           #FeelTheROLL  3.400000\n",
       "1                             #L-81 Cafe  3.900000\n",
       "2                                #refuel  3.700000\n",
       "3                               1000 B.C  3.200000\n",
       "4   100°C  3.700000\n",
       "5             11 to 11 Express Biriyanis  3.500000\n",
       "6                     1131 Bar + Kitchen  4.500000\n",
       "7              12th Main - Grand Mercure  4.100000\n",
       "8                          1441 Pizzeria  4.100000\n",
       "9                         1522 - The Pub  4.212000\n",
       "10                    154 Breakfast Club  4.000000\n",
       "11                     1722 Urban Bistro  4.100000\n",
       "12                          18+ Ice Cafe  3.500000\n",
       "13                                  1947  4.021429\n",
       "14                      1980s Games Cafe  3.400000\n",
       "15                    1992 Chats - Space  3.700000\n",
       "16                                   1Q1  4.300000\n",
       "17                          1TO3 Kitchen  3.100000\n",
       "18                              2 Statez  3.700000\n",
       "19         20 Char - Sterlings MAC Hotel  4.000000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rate=df.groupby('name')['rate'].mean().to_frame()\n",
    "df_rate=df_rate.reset_index()\n",
    "df_rate.columns=['restaurant','rating']\n",
    "df_rate.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7162, 2)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rate.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### alternative is create a list in which u have all the restaurants & in another list,we have all ratings & then using zip we can create a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''restaurant=[]\n",
    "avg_rating=[]\n",
    "for key,name_df in df.groupby('name'):\n",
    "    restaurant.append(key)\n",
    "    avg_rating.append(np.mean(name_df['rate'])'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''df_rate=pd.DataFrame(zip(restaurant,avg_rating))\n",
    "df_rate.columns=['restaurant','rating']\n",
    "df_rate.head(20)'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''df_rate.shape'''"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Rating distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b00f684c8>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(style='whitegrid')\n",
    "sns.distplot(df_rate['rating'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Almost more than 50 percent of restaurants has rating between 3 and 4. Restaurants having rating more than 4.5 are very rare."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Which are the top restaurant chains in Bangaluru?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Number of outlets')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "chains=df['name'].value_counts()[0:20]\n",
    "sns.barplot(x=chains,y=chains.index,palette='deep')\n",
    "plt.title(\"Most famous restaurants chains in Bangaluru\")\n",
    "plt.xlabel(\"Number of outlets\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### How many of the restuarants do not accept online orders?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x5b012fb3c8>,\n",
       "  <matplotlib.patches.Wedge at 0x5b01431088>],\n",
       " [Text(-0.481488774517003, 0.9890240442042423, ''),\n",
       "  Text(0.5252605823084886, -1.0789352717716423, '')],\n",
       " [Text(-0.26263024064563795, 0.5394676604750411, '64.4%'),\n",
       "  Text(0.30640200634661835, -0.629378908533458, '35.6%')])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=df['online_order'].value_counts()\n",
    "labels=['accepted','not accepted']\n",
    "plt.pie(x,explode=[0.0,0.1],autopct='%1.1f%%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### using plotly, How many of the restuarants do not accept online orders?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: plotly in c:\\users\\mcr\\anaconda3\\lib\\site-packages (4.5.4)\n",
      "Requirement already satisfied: retrying>=1.3.3 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from plotly) (1.3.3)\n",
      "Requirement already satisfied: six in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from plotly) (1.14.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install plotly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=df['online_order'].value_counts()\n",
    "labels=['accepted','not accepted']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);l<=n[s];)s--,l=(t[o]+o*o-(t[r[s]]+r[s]*r[s]))/(2*o-2*r[s]);r[++s]=o,n[s]=l,n[s+1]=+a}for(o=0,s=0;o<i;o++){for(;n[s+1]<o;)s++;e[o]=(o-r[s])*(o-r[s])+t[r[s]]}}},{clamp:117}],96:[function(t,e,r){!function(e,r){\"use strict\";function n(t,e){if(!t)throw new Error(e||\"Assertion failed\")}function a(t,e){t.super_=e;var r=function(){};r.prototype=e.prototype,t.prototype=new r,t.prototype.constructor=t}function i(t,e,r){if(i.isBN(t))return t;this.negative=0,this.words=null,this.length=0,this.red=null,null!==t&&(\"le\"!==e&&\"be\"!==e||(r=e,e=10),this._init(t||0,e||10,r||\"be\"))}var o;\"object\"==typeof e?e.exports=i:r.BN=i,i.BN=i,i.wordSize=26;try{o=t(\"buffer\").Buffer}catch(t){}function s(t,e,r){for(var n=0,a=Math.min(t.length,r),i=e;i<a;i++){var o=t.charCodeAt(i)-48;n<<=4,n|=o>=49&&o<=54?o-49+10:o>=17&&o<=22?o-17+10:15&o}return n}function l(t,e,r,n){for(var a=0,i=Math.min(t.length,r),o=e;o<i;o++){var 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h=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)h*=e;this.imuln(h),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},i.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},i.prototype.clone=function(){var t=new i(null);return this.copy(t),t},i.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},i.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},i.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function f(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var a=0|t.words[0],i=0|e.words[0],o=a*i,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(a=0|t.words[d])*(i=0|e.words[p])+h)/67108864|0,h=67108863&o}r.words[c]=0|h,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}i.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var a=0,i=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<a|i)).toString(16);r=0!==(i=s>>>24-a&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(a+=2)>=26&&(a-=26,o--)}for(0!==i&&(r=i.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var f=u[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var g=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?g+r:c[f-g.length]+g+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},i.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},i.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},i.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},i.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},i.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},i.prototype.isNeg=function(){return 0!==this.negative},i.prototype.neg=function(){return this.clone().ineg()},i.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},i.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},i.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},i.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},i.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},i.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},i.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var 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mt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(m,V),a=(a=Math.imul(m,U))+Math.imul(y,V)|0,i=Math.imul(y,U),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,X)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,X)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,V),a=(a=Math.imul(b,U))+Math.imul(_,V)|0,i=Math.imul(_,U),n=n+Math.imul(m,H)|0,a=(a=a+Math.imul(m,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,X)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(k,V),a=(a=Math.imul(k,U))+Math.imul(T,V)|0,i=Math.imul(T,U),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,a=(a=a+Math.imul(m,X)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,V),a=(a=Math.imul(A,U))+Math.imul(S,V)|0,i=Math.imul(S,U),n=n+Math.imul(k,H)|0,a=(a=a+Math.imul(k,G)|0)+Math.imul(T,H)|0,i=i+Math.imul(T,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,X)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,X)|0,n=n+Math.imul(m,J)|0,a=(a=a+Math.imul(m,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,V),a=(a=Math.imul(L,U))+Math.imul(C,V)|0,i=Math.imul(C,U),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(k,W)|0,a=(a=a+Math.imul(k,X)|0)+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(m,$)|0,a=(a=a+Math.imul(m,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,V),a=(a=Math.imul(O,U))+Math.imul(z,V)|0,i=Math.imul(z,U),n=n+Math.imul(L,H)|0,a=(a=a+Math.imul(L,G)|0)+Math.imul(C,H)|0,i=i+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,X)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,X)|0,n=n+Math.imul(k,J)|0,a=(a=a+Math.imul(k,K)|0)+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,a=(a=a+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var kt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(D,V),a=(a=Math.imul(D,U))+Math.imul(R,V)|0,i=Math.imul(R,U),n=n+Math.imul(O,H)|0,a=(a=a+Math.imul(O,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(L,W)|0,a=(a=a+Math.imul(L,X)|0)+Math.imul(C,W)|0,i=i+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(k,$)|0,a=(a=a+Math.imul(k,tt)|0)+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(m,it)|0,a=(a=a+Math.imul(m,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var Tt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(B,V),a=(a=Math.imul(B,U))+Math.imul(N,V)|0,i=Math.imul(N,U),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,a=(a=a+Math.imul(O,X)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,n=n+Math.imul(L,J)|0,a=(a=a+Math.imul(L,K)|0)+Math.imul(C,J)|0,i=i+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,a=(a=a+Math.imul(k,nt)|0)+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,a=(a=a+Math.imul(m,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,X)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,X)|0,n=n+Math.imul(O,J)|0,a=(a=a+Math.imul(O,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(L,$)|0,a=(a=a+Math.imul(L,tt)|0)+Math.imul(C,$)|0,i=i+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(k,it)|0,a=(a=a+Math.imul(k,ot)|0)+Math.imul(T,it)|0,i=i+Math.imul(T,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(m,ht)|0,a=(a=a+Math.imul(m,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,X))+Math.imul(N,W)|0,i=Math.imul(N,X),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(O,$)|0,a=(a=a+Math.imul(O,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(L,rt)|0,a=(a=a+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,i=i+Math.imul(C,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(k,lt)|0,a=(a=a+Math.imul(k,ct)|0)+Math.imul(T,lt)|0,i=i+Math.imul(T,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(m,dt)|0)|0)+((8191&(a=(a=a+Math.imul(m,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,a=(a=a+Math.imul(O,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(L,it)|0,a=(a=a+Math.imul(L,ot)|0)+Math.imul(C,it)|0,i=i+Math.imul(C,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(k,ht)|0,a=(a=a+Math.imul(k,ft)|0)+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(O,it)|0,a=(a=a+Math.imul(O,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(L,lt)|0,a=(a=a+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,i=i+Math.imul(C,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Lt=(c+(n=n+Math.imul(k,dt)|0)|0)+((8191&(a=(a=a+Math.imul(k,gt)|0)+Math.imul(T,dt)|0))<<13)|0;c=((i=i+Math.imul(T,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,a=(a=a+Math.imul(O,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(L,ht)|0,a=(a=a+Math.imul(L,ft)|0)+Math.imul(C,ht)|0,i=i+Math.imul(C,ft)|0;var Ct=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(O,ht)|0,a=(a=a+Math.imul(O,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(a=(a=a+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((i=i+Math.imul(C,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var Ot=(c+(n=n+Math.imul(O,dt)|0)|0)+((8191&(a=(a=a+Math.imul(O,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var It=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(It>>>26)|0,It&=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=kt,l[8]=Tt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=zt,l[18]=It,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],v=r[u+p+o],m=n[u+p+o],y=h*v-f*m;m=h*m+f*v,v=y,r[u+p]=d+v,n[u+p]=g+m,r[u+p+o]=d-v,n[u+p+o]=g-m,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=i._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},a(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=4194303&a,n=10;n<t.length;n++){var i=0|t.words[n];t.words[n-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,t.words[n-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 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t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new i(1)).iushrn(2);return this.pow(t,r)}for(var a=this.m.subn(1),o=0;!a.isZero()&&0===a.andln(1);)o++,a.iushrn(1);n(!a.isZero());var s=new i(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new i(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,a),f=this.pow(t,a.addn(1).iushrn(1)),p=this.pow(t,a),d=o;0!==p.cmp(s);){for(var g=p,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v<d);var m=this.pow(h,new i(1).iushln(d-v-1));f=f.redMul(m),h=m.redSqr(),p=p.redMul(h),d=v}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new i(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var a=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;a!==r[0]&&(a=this.sqr(a)),0!==h||0!==o?(o<<=1,o|=h,(4===++s||0===n&&0===u)&&(a=this.mul(a,r[o]),s=0,o=0)):s=0}l=26}return a},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},i.mont=function(t){return new k(t)},a(k,w),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),i=a;return a.cmp(this.m)>=0?i=a.isub(this.m):a.cmpn(0)<0&&(i=a.iadd(this.m)),i._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new i(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:105}],97:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,a=t.length,i=0;for(e=0;e<a;++e)i+=t[e].length;var o=new Array(i),s=0;for(e=0;e<a;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],98:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return n=[],c(a=t,a,u,!0),n;case 2:return\"function\"==typeof e?c(t,t,e,!0):function(t,e){return n=[],c(t,e,u,!1),n}(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}var a};var n,a=t(\"typedarray-pool\"),i=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var a=0,i=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[a++]=c[u];n[i++]=o}}return i}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var h,f=a.mallocDouble(2*u*s),p=a.mallocInt32(s);if((s=l(t,u,f,p))>0){if(1===u&&n)i.init(s),h=i.sweepComplete(u,r,0,s,f,p,0,s,f,p);else{var d=a.mallocDouble(2*u*c),g=a.mallocInt32(c);(c=l(e,u,d,g))>0&&(i.init(s+c),h=1===u?i.sweepBipartite(u,r,0,s,f,p,0,c,d,g):o(u,r,n,s,f,p,c,d,g),a.free(d),a.free(g))}a.free(f),a.free(p)}return h}}}function u(t,e){n.push([t,e])}},{\"./lib/intersect\":100,\"./lib/sweep\":104,\"typedarray-pool\":544}],99:[function(t,e,r){\"use strict\";var n=\"d\",a=\"ax\",i=\"vv\",o=\"fp\",s=\"es\",l=\"rs\",c=\"re\",u=\"rb\",h=\"ri\",f=\"rp\",p=\"bs\",d=\"be\",g=\"bb\",v=\"bi\",m=\"bp\",y=\"rv\",x=\"Q\",b=[n,a,i,l,c,u,h,p,d,g,v];function _(t){var e=\"bruteForce\"+(t?\"Full\":\"Partial\"),r=[],_=b.slice();t||_.splice(3,0,o);var w=[\"function \"+e+\"(\"+_.join()+\"){\"];function k(e,o){var _=function(t,e,r){var o=\"bruteForce\"+(t?\"Red\":\"Blue\")+(e?\"Flip\":\"\")+(r?\"Full\":\"\"),_=[\"function \",o,\"(\",b.join(),\"){\",\"var \",s,\"=2*\",n,\";\"],w=\"for(var i=\"+l+\",\"+f+\"=\"+s+\"*\"+l+\";i<\"+c+\";++i,\"+f+\"+=\"+s+\"){var x0=\"+u+\"[\"+a+\"+\"+f+\"],x1=\"+u+\"[\"+a+\"+\"+f+\"+\"+n+\"],xi=\"+h+\"[i];\",k=\"for(var j=\"+p+\",\"+m+\"=\"+s+\"*\"+p+\";j<\"+d+\";++j,\"+m+\"+=\"+s+\"){var y0=\"+g+\"[\"+a+\"+\"+m+\"],\"+(r?\"y1=\"+g+\"[\"+a+\"+\"+m+\"+\"+n+\"],\":\"\")+\"yi=\"+v+\"[j];\";return 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strict\";e.exports=function(t,e,r,i,u,S,E,L,C){!function(t,e){var r=8*a.log2(e+1)*(t+1)|0,i=a.nextPow2(b*r);w.length<i&&(n.free(w),w=n.mallocInt32(i));var o=a.nextPow2(_*r);k<o&&(n.free(k),k=n.mallocDouble(o))}(t,i+E);var P,O=0,z=2*t;T(O++,0,0,i,0,E,r?16:0,-1/0,1/0),r||T(O++,0,0,E,0,i,1,-1/0,1/0);for(;O>0;){var I=(O-=1)*b,D=w[I],R=w[I+1],F=w[I+2],B=w[I+3],N=w[I+4],j=w[I+5],V=O*_,U=k[V],q=k[V+1],H=1&j,G=!!(16&j),Y=u,W=S,X=L,Z=C;if(H&&(Y=L,W=C,X=u,Z=S),!(2&j&&(F=v(t,D,R,F,Y,W,q),R>=F)||4&j&&(R=m(t,D,R,F,Y,W,U))>=F)){var J=F-R,K=N-B;if(G){if(t*J*(J+K)<p){if(void 0!==(P=l.scanComplete(t,D,e,R,F,Y,W,B,N,X,Z)))return P;continue}}else{if(t*Math.min(J,K)<h){if(void 0!==(P=o(t,D,e,H,R,F,Y,W,B,N,X,Z)))return P;continue}if(t*J*K<f){if(void 0!==(P=l.scanBipartite(t,D,e,H,R,F,Y,W,B,N,X,Z)))return P;continue}}var Q=d(t,D,R,F,Y,W,U,q);if(R<Q)if(t*(Q-R)<h){if(void 0!==(P=s(t,D+1,e,R,Q,Y,W,B,N,X,Z)))return P}else if(D===t-2){if(void 0!==(P=H?l.sweepBipartite(t,e,B,N,X,Z,R,Q,Y,W):l.sweepBipartite(t,e,R,Q,Y,W,B,N,X,Z)))return P}else T(O++,D+1,R,Q,B,N,H,-1/0,1/0),T(O++,D+1,B,N,R,Q,1^H,-1/0,1/0);if(Q<F){var $=c(t,D,B,N,X,Z),tt=X[z*$+D],et=g(t,D,$,N,X,Z,tt);if(et<N&&T(O++,D,Q,F,et,N,(4|H)+(G?16:0),tt,q),B<$&&T(O++,D,Q,F,B,$,(2|H)+(G?16:0),U,tt),$+1===et){if(void 0!==(P=G?A(t,D,e,Q,F,Y,W,$,X,Z[$]):M(t,D,e,H,Q,F,Y,W,$,X,Z[$])))return P}else if($<et){var rt;if(G){if(rt=y(t,D,Q,F,Y,W,tt),Q<rt){var nt=g(t,D,Q,rt,Y,W,tt);if(D===t-2){if(Q<nt&&void 0!==(P=l.sweepComplete(t,e,Q,nt,Y,W,$,et,X,Z)))return P;if(nt<rt&&void 0!==(P=l.sweepBipartite(t,e,nt,rt,Y,W,$,et,X,Z)))return P}else Q<nt&&T(O++,D+1,Q,nt,$,et,16,-1/0,1/0),nt<rt&&(T(O++,D+1,nt,rt,$,et,0,-1/0,1/0),T(O++,D+1,$,et,nt,rt,1,-1/0,1/0))}}else rt=H?x(t,D,Q,F,Y,W,tt):y(t,D,Q,F,Y,W,tt),Q<rt&&(D===t-2?P=H?l.sweepBipartite(t,e,$,et,X,Z,Q,rt,Y,W):l.sweepBipartite(t,e,Q,rt,Y,W,$,et,X,Z):(T(O++,D+1,Q,rt,$,et,H,-1/0,1/0),T(O++,D+1,$,et,Q,rt,1^H,-1/0,1/0)))}}}}};var n=t(\"typedarray-pool\"),a=t(\"bit-twiddle\"),i=t(\"./brute\"),o=i.partial,s=i.full,l=t(\"./sweep\"),c=t(\"./median\"),u=t(\"./partition\"),h=128,f=1<<22,p=1<<22,d=u(\"!(lo>=p0)&&!(p1>=hi)\",[\"p0\",\"p1\"]),g=u(\"lo===p0\",[\"p0\"]),v=u(\"lo<p0\",[\"p0\"]),m=u(\"hi<=p0\",[\"p0\"]),y=u(\"lo<=p0&&p0<=hi\",[\"p0\"]),x=u(\"lo<p0&&p0<=hi\",[\"p0\"]),b=6,_=2,w=n.mallocInt32(1024),k=n.mallocDouble(1024);function T(t,e,r,n,a,i,o,s,l){var c=b*t;w[c]=e,w[c+1]=r,w[c+2]=n,w[c+3]=a,w[c+4]=i,w[c+5]=o;var u=_*t;k[u]=s,k[u+1]=l}function M(t,e,r,n,a,i,o,s,l,c,u){var h=2*t,f=l*h,p=c[f+e];t:for(var d=a,g=a*h;d<i;++d,g+=h){var v=o[g+e],m=o[g+e+t];if(!(p<v||m<p)&&(!n||p!==v)){for(var y,x=s[d],b=e+1;b<t;++b){v=o[g+b],m=o[g+b+t];var _=c[f+b],w=c[f+b+t];if(m<_||w<v)continue t}if(void 0!==(y=n?r(u,x):r(x,u)))return y}}}function A(t,e,r,n,a,i,o,s,l,c){var u=2*t,h=s*u,f=l[h+e];t:for(var p=n,d=n*u;p<a;++p,d+=u){var g=o[p];if(g!==c){var v=i[d+e],m=i[d+e+t];if(!(f<v||m<f)){for(var 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n=t(\"./partition\")(\"lo<p0\",[\"p0\"]),a=8;function i(t,e,r,n,a,i){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=a[s],u=l,h=o*(l-1);u>r&&a[h+e]>c;--u,h-=o){for(var f=h,p=h+o,d=0;d<o;++d,++f,++p){var g=a[f];a[f]=a[p],a[p]=g}var v=i[u];i[u]=i[u-1],i[u-1]=v}}},{\"./partition\":102}],102:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=\"abcdef\".split(\"\").concat(e),a=[];t.indexOf(\"lo\")>=0&&a.push(\"lo=e[k+n]\");t.indexOf(\"hi\")>=0&&a.push(\"hi=e[k+o]\");return r.push(n.replace(\"_\",a.join()).replace(\"$\",t)),Function.apply(void 0,r)};var n=\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m\"},{}],103:[function(t,e,r){\"use strict\";e.exports=function(t,e){e<=4*n?a(0,e-1,t):function t(e,r,h){var 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r=8*e;p.length<r&&(n.free(p),p=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,a,h,f,v,m,y){for(var x=0,b=2*t,_=t-1,w=b-1,k=r;k<n;++k){var T=h[k],M=b*k;p[x++]=a[M+_],p[x++]=-(T+1),p[x++]=a[M+w],p[x++]=T}for(var k=f;k<v;++k){var T=y[k]+o,A=b*k;p[x++]=m[A+_],p[x++]=-T,p[x++]=m[A+w],p[x++]=T}var S=x>>>1;i(p,S);for(var E=0,L=0,k=0;k<S;++k){var C=0|p[2*k+1];if(C>=o)d(c,u,L--,C=C-o|0);else if(C>=0)d(s,l,E--,C);else if(C<=-o){C=-C-o|0;for(var P=0;P<E;++P){var O=e(s[P],C);if(void 0!==O)return O}g(c,u,L++,C)}else{C=-C-1|0;for(var P=0;P<L;++P){var O=e(C,c[P]);if(void 0!==O)return O}g(s,l,E++,C)}}},sweepComplete:function(t,e,r,n,a,o,v,m,y,x){for(var b=0,_=2*t,w=t-1,k=_-1,T=r;T<n;++T){var M=o[T]+1<<1,A=_*T;p[b++]=a[A+w],p[b++]=-M,p[b++]=a[A+k],p[b++]=M}for(var T=v;T<m;++T){var M=x[T]+1<<1,S=_*T;p[b++]=y[S+w],p[b++]=1|-M,p[b++]=y[S+k],p[b++]=1|M}var E=b>>>1;i(p,E);for(var L=0,C=0,P=0,T=0;T<E;++T){var O=0|p[2*T+1],z=1&O;if(T<E-1&&O>>1==p[2*T+3]>>1&&(z=2,T+=1),O<0){for(var 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g(t,e,r,n){t[r]=n,e[n]=r}},{\"./sort\":103,\"bit-twiddle\":94,\"typedarray-pool\":544}],105:[function(t,e,r){},{}],106:[function(t,e,r){var n=Object.create||function(t){var e=function(){};return e.prototype=t,new e},a=Object.keys||function(t){var e=[];for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&e.push(r);return r},i=Function.prototype.bind||function(t){var e=this;return function(){return e.apply(t,arguments)}};function o(){this._events&&Object.prototype.hasOwnProperty.call(this,\"_events\")||(this._events=n(null),this._eventsCount=0),this._maxListeners=this._maxListeners||void 0}e.exports=o,o.EventEmitter=o,o.prototype._events=void 0,o.prototype._maxListeners=void 0;var s,l=10;try{var c={};Object.defineProperty&&Object.defineProperty(c,\"x\",{value:0}),s=0===c.x}catch(t){s=!1}function u(t){return void 0===t._maxListeners?o.defaultMaxListeners:t._maxListeners}function h(t,e,r,a){var i,o,s;if(\"function\"!=typeof r)throw new TypeError('\"listener\" argument must be a 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c=(i=r.left=o(i)).right=o(i.right),r.left=c.right,i.right=c.left,c.right=r,c.left=i,c._color=r._color,r._color=a,i._color=a,e._color=a,l(r),l(i),l(c),u>1&&((h=t[u-2]).right===r?h.right=c:h.left=c),void(t[u-1]=c);if(i._color===a){if(r._color===n)return r._color=a,void(r.left=s(n,i));r.left=s(n,i);continue}var h;i=o(i),r.left=i.right,i.right=r,i._color=r._color,r._color=n,l(r),l(i),u>1&&((h=t[u-2]).right===r?h.right=i:h.left=i),t[u-1]=i,t[u]=r,u+1<t.length?t[u+1]=e:t.push(e),u+=2}}}(e),g.left===r?g.left=null:g.right=null,new c(this.tree._compare,e[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return 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t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],k=n[15],T=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*k)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var L=[0,0,0];f[M]>0?L[M]=i[1][M]:L[M]=i[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,O=(M+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,O,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(M+1+C)%3,O=(M+1+(1^C))%3;this.zeroEnable[O]&&Math.min(i[0][O],i[1][O])<=0&&Math.max(i[0][O],i[1][O])>=0&&this._lines.drawZero(P,O,this.bounds,L,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(m,A[M].primalMinor),I=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=T/r[5*C];z[C]*=D[C]*R,I[C]*=D[C]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,I,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0?N(n):i>0&&l<0?N(n):i<0&&l>0?N(n):i<0&&l<0?N(n):o>0&&s>0?N(a):o>0&&s<0?N(a):o<0&&s>0?N(a):o<0&&s<0&&N(a)}for(M=0;M<3;++M){var V=A[M].primalMinor,U=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=T*V[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,V,U);for(C=0;C<3;++C)q[C]+=T*V[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)q[C]+=T*V[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":237,\"./lib/cube.js\":238,\"./lib/lines.js\":239,\"./lib/text.js\":241,\"./lib/ticks.js\":242}],237:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var v=c;c=u,u=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,m,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],238:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}for(var w=-1,x=0;x<8;++x){for(var k=l[x][3],T=0;T<3;++T)c[x][T]=l[x][T]/k;p&&(c[x][2]*=-1),k<0&&(w<0?w=x:c[x][2]<c[w][2]&&(w=x))}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S);o(c[P],c[O],c[z],h)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<M);else{for(var C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S),I=d([l[P],l[O],l[z],l[P+(1<<A)+(1<<S)]]);C?E=I:L=I}L>E&&(w|=1<<M)}}}for(var D=7^w,R=-1,x=0;x<8;++x)x!==w&&x!==D&&(R<0?R=x:c[R][1]>c[x][1]&&(R=x));for(var F=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D){F<0&&(F=B);var S=c[B];S[0]<c[F][0]&&(F=B)}}for(var N=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D&&B!==F){N<0&&(N=B);var S=c[B];S[0]>c[N][0]&&(N=B)}}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^N)]=R&N;var V=7^N;V===w||V===D?(V=7^F,j[n.log2(N^V)]=V&N):j[n.log2(F^V)]=V&F;for(var U=v,q=w,M=0;M<3;++M)U[M]=q&1<<M?-1:1;return m};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{\"bit-twiddle\":94,\"gl-mat4/multiply\":270,\"robust-orientation\":509,\"split-polygon\":526}],239:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[h]=f,l[h]=v-f;for(var f=o.length/3|0,m=0;m<r[h].length;++m){var g=+r[h][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;c[h]=f,u[h]=v-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],240:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:411}],241:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var v=p[d],m=2;m>=0;--m){var y=f[v[m]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":240,_process:484,\"gl-buffer\":244,\"gl-vao\":329,\"vectorize-text\":549}],242:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(var o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],243:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,m=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,m,x,y)).axis;o(u,p,f),o(u,m,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var k=n(s(u,u));s(u,u);for(var T=0;T<3;++T){var M=(T+1)%3,A=(T+2)%3,S=v;t:for(var w=0;w<2;++w){var E=[];if(b[T]<0!=!!w){S[T]=x[w][T];for(var L=0;L<2;++L){S[M]=x[L^w][M];for(var C=0;C<2;++C)S[A]=x[C^L^w][A],E.push(S.slice())}for(var P=y?5:4,L=P;L===P;++L){if(0===E.length)continue t;E=a.positive(E,k[L])}for(var L=0;L<E.length;++L)for(var A=E[L],O=d(v,u,A,r,l),C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,A[C]),_[C].hi=Math.max(_[C].hi,A[C]),C!==T&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":238,\"extract-frustum-planes\":227,\"gl-mat4/multiply\":270,\"gl-mat4/transpose\":279,\"gl-vec4/transformMat4\":400,\"split-polygon\":526}],244:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:452,\"ndarray-ops\":446,\"typedarray-pool\":544}],245:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],v=1/0,m=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(v=Math.min(v,_),m=!1):m=!0}m||(p=x,d=b),g.push(b)}var w=[s,c,h],k=[l,u,f];e&&(e[0]=w,e[1]=k),0===o&&(o=1);var T=1/o;isFinite(v)||(v=1),i.vectorScale=v;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*T),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*T,O=0;O<8;O++){i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":246,\"./lib/shaders\":247,\"gl-vec3\":348}],246:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var v=0;v<p.length;++v){var m=p[v];d=Math.min(d,m),g=Math.max(g,m)}else for(v=0;v<n.length;++v){m=n[v][2];d=Math.min(d,m),g=Math.max(g,m)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(v=0;v<n.length;++v)for(var y=n[v],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(v=0;v<r.length;++v){var _=r[v];switch(_.length){case 3:for(x=0;x<3;++x){y=n[k=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var k;y=n[k=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var T=a[k];o.push(T[0],T[1],T[2],T[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[k]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(v)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),u=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=a(t),d=a(t),g=a(t),v=a(t),m=a(t),y=new f(t,h,l,u,p,d,m,g,v,i(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return y.update(e),y}},{colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:452}],247:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:411}],248:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34000:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],249:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:411}],252:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(var i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var v=!1;\"stencil\"in n&&(v=!!n.stencil);return new d(t,e,r,f,h,g,v,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m<o;++m)t.color[m]=f(r,a,i,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),m=0;m<t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function v(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":324}],253:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}for(var v=o(e).split(\"\\n\"),p=0;p<v.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var m=v[p];if(c+=m+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":64,\"gl-constants/lookup\":249,\"glsl-shader-name\":403,\"sprintf-js\":527}],254:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),v=1/((h[3]=o[o.length-1])-d),m=e[0],y=e[1];this.shape=[m,y];var x=(m-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=i.mallocUint8(4*x),_=i.mallocFloat32(2*x),w=i.mallocUint8(2*x),k=i.mallocUint32(x),T=0,M=0;M<y-1;++M)for(var A=v*(o[M]-d),S=v*(o[M+1]-d),E=0;E<m-1;++E)for(var L=g*(r[E]-p),C=g*(r[E+1]-p),P=0;P<f.length;P+=2){var O,z,I,D,R=f[P],F=f[P+1],B=s[(M+F)*m+(E+R)],N=n.le(l,B);if(N<0)O=c[0],z=c[1],I=c[2],D=c[3];else if(N===u-1)O=c[4*u-4],z=c[4*u-3],I=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),V=1-j,U=4*N,q=4*(N+1);O=V*c[U]+j*c[q],z=V*c[U+1]+j*c[q+1],I=V*c[U+2]+j*c[q+2],D=V*c[U+3]+j*c[q+3]}b[4*T]=255*O,b[4*T+1]=255*z,b[4*T+2]=255*I,b[4*T+3]=255*D,_[2*T]=.5*L+.5*C,_[2*T+1]=.5*A+.5*S,w[2*T]=R,w[2*T+1]=F,k[T]=M*m+E,T+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),i.free(_),i.free(b),i.free(w),i.free(k)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":255,\"binary-search-bounds\":256,\"gl-buffer\":244,\"gl-shader\":304,\"iota-array\":418,\"typedarray-pool\":544}],255:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:411}],256:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],257:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\nlowp vec4 encode_float_1540259130(highp float v) {\\n  highp float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  highp vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  highp float e = floor(log2(av));\\n  highp float m = av * pow(2.0, -e) - 1.0;\\n  \\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n  \\n  //Unpack exponent\\n  highp float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0; \\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\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, encode_float_1540259130(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":304,glslify:411}],258:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=u(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),c=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),f=l(new Array(1024),[256,1,4]),p=0;p<1024;++p)f.data[p]=255;var d=i(e,f);d.wrap=e.REPEAT;var g=new v(e,r,o,s,c,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=t(\"glsl-read-float\"),s=t(\"binary-search-bounds\"),l=t(\"ndarray\"),c=t(\"./lib/shaders\"),u=c.createShader,h=c.createPickShader,f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function p(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function d(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,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=v.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,clipBounds:d(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()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,pickId:this.pickId,clipBounds:d(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.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 a=[],i=[],o=[],c=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var d=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,v=!1;t:for(e=1;e<f.length;++e){var m,y,x,b=f[e-1],_=f[e];for(i.push(c),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&a.length>0){for(var w=0;w<24;++w)a.push(a[a.length-12]);u+=2,v=!0}continue t}h[0][r]=Math.min(h[0][r],b[r],_[r]),h[1][r]=Math.max(h[1][r],b[r],_[r])}Array.isArray(d[0])?(m=d.length>e-1?d[e-1]:d.length>0?d[d.length-1]:[0,0,0,1],y=d.length>e?d[e]:d.length>0?d[d.length-1]:[0,0,0,1]):m=y=d,3===m.length&&(m=[m[0],m[1],m[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&m[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var k=c;if(c+=p(b,_),v){for(r=0;r<2;++r)a.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3]);u+=2,v=!1}a.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3],b[0],b[1],b[2],_[0],_[1],_[2],k,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],c,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],c,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(a),i.push(c),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=i,\"dashes\"in t){var T=t.dashes.slice();for(T.unshift(0),e=1;e<T.length;++e)T[e]=T[e-1]+T[e];var M=l(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)M.set(e,0,r,0);1&s.le(T,T[T.length-1]*e/255)?M.set(e,0,0,0):M.set(e,0,0,255)}this.texture.setPixels(M)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=o(t.value[0],t.value[1],t.value[2],0),r=s.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],a=this.points[Math.min(r+1,this.points.length-1)],i=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),l=1-i,c=[0,0,0],u=0;u<3;++u)c[u]=l*n[u]+i*a[u];var h=Math.min(i<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},{\"./lib/shaders\":257,\"binary-search-bounds\":259,\"gl-buffer\":244,\"gl-texture2d\":324,\"gl-vao\":329,\"glsl-read-float\":402,ndarray:452}],259:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],260:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=r*i-a*n;return o?(o=1/o,t[0]=i*o,t[1]=-n*o,t[2]=-a*o,t[3]=r*o,t):null}},{}],261:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=u*o-s*c,f=-u*i+s*l,p=c*i-o*l,d=r*h+n*f+a*p;return d?(d=1/d,t[0]=h*d,t[1]=(-u*n+a*c)*d,t[2]=(s*n-a*o)*d,t[3]=f*d,t[4]=(u*r-a*l)*d,t[5]=(-s*r+a*i)*d,t[6]=p*d,t[7]=(-c*r+n*l)*d,t[8]=(o*r-n*i)*d,t):null}},{}],262:[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}},{}],263:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],264:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],a=t[3],i=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],h=t[10],f=t[11],p=t[12],d=t[13],g=t[14],v=t[15];return(e*o-r*i)*(h*v-f*g)-(e*s-n*i)*(u*v-f*d)+(e*l-a*i)*(u*g-h*d)+(r*s-n*o)*(c*v-f*p)-(r*l-a*o)*(c*g-h*p)+(n*l-a*s)*(c*d-u*p)}},{}],265:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=r+r,s=n+n,l=a+a,c=r*o,u=n*o,h=n*s,f=a*o,p=a*s,d=a*l,g=i*o,v=i*s,m=i*l;return t[0]=1-h-d,t[1]=u+m,t[2]=f-v,t[3]=0,t[4]=u-m,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-c-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],266:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=n+n,l=a+a,c=i+i,u=n*s,h=n*l,f=n*c,p=a*l,d=a*c,g=i*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(p+g),t[1]=h+y,t[2]=f-m,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+v,t[7]=0,t[8]=f+m,t[9]=d-v,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],267:[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}},{}],268:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],a=e[2],i=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,x=r*l-a*o,b=r*c-i*o,_=n*l-a*s,w=n*c-i*s,k=a*c-i*l,T=u*g-h*d,M=u*v-f*d,A=u*m-p*d,S=h*v-f*g,E=h*m-p*g,L=f*m-p*v,C=y*L-x*E+b*S+_*A-w*M+k*T;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(a*E-n*L-i*S)*C,t[2]=(g*k-v*w+m*_)*C,t[3]=(f*w-h*k-p*_)*C,t[4]=(l*A-o*L-c*M)*C,t[5]=(r*L-a*A+i*M)*C,t[6]=(v*b-d*k-m*x)*C,t[7]=(u*k-f*b+p*x)*C,t[8]=(o*E-s*A+c*T)*C,t[9]=(n*A-r*E-i*T)*C,t[10]=(d*w-g*b+m*y)*C,t[11]=(h*b-u*w-p*y)*C,t[12]=(s*M-o*S-l*T)*C,t[13]=(r*S-n*M+a*T)*C,t[14]=(g*x-d*_-v*y)*C,t[15]=(u*_-h*x+f*y)*C,t}},{}],269:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,a){var i,o,s,l,c,u,h,f,p,d,g=e[0],v=e[1],m=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],k=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6)return n(t);h=g-_,f=v-w,p=m-k,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(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]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(h*g+f*v+p*m),t[15]=1,t}},{\"./identity\":267}],270:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],v=e[13],m=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*v,t[2]=x*i+b*c+_*p+w*m,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*v,t[6]=x*i+b*c+_*p+w*m,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*v,t[10]=x*i+b*c+_*p+w*m,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*v,t[14]=x*i+b*c+_*p+w*m,t[15]=x*o+b*u+_*d+w*y,t}},{}],271:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],272:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],273:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,w,k,T,M,A,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],v=e[9],m=e[10],y=e[11],x=E*E*o+i,b=L*E*o+C*a,_=C*E*o-L*a,w=E*L*o-C*a,k=L*L*o+i,T=C*L*o+E*a,M=E*C*o+L*a,A=L*C*o-E*a,S=C*C*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+v*_,t[2]=c*x+p*b+m*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*k+g*T,t[5]=l*w+f*k+v*T,t[6]=c*w+p*k+m*T,t[7]=u*w+d*k+y*T,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+v*S,t[10]=c*M+p*A+m*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],274:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=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]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],275:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],276:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],277:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],278:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],v=r[1],m=r[2];e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*v+h*m+e[12],t[13]=a*g+l*v+f*m+e[13],t[14]=i*g+c*v+p*m+e[14],t[15]=o*g+u*v+d*m+e[15]);return t}},{}],279:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=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]=i,t[11]=e[14],t[12]=a,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}},{}],280:[function(t,e,r){\"use strict\";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:a(t,e);break;case 16:i(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t};var n=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),i=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":260,\"gl-mat3/invert\":261,\"gl-mat4/invert\":268}],281:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);for(var f=0,p=1/0,h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}for(var v=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),m=0,h=0;h<3;++h){if(v[h]<-.001||v[h]>1.0001)return null;m+=v[h]}if(Math.abs(m-1)>.001)return null;return[f,s(t,v),v]}},{barycentric:75,\"polytope-closest-point/lib/closest_point_2d.js\":483}],282:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:411}],283:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),v=d.meshShader,m=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,k,T,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=T,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var T=k.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}T.isOpaque=function(){return!this.hasAlpha},T.isTransparent=function(){return this.hasAlpha},T.pickSlots=1,T.setPickBase=function(t){this.pickId=t},T.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=a[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},T.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,A)),k||w||(w=s.vertexNormals(r,n,T));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,z=t.cellIntensity,I=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];I=Math.min(I,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)I=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];I=Math.min(I,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];I=Math.min(I,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],V=0;V<3;++V)!isNaN(j[V])&&isFinite(j[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],j[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],j[V]));var U=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],V=0;V<3;++V)if(isNaN(j[V])||!isFinite(j[V]))continue t;m.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(V=0;V<2;++V){j=n[W=G[V]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(V=0;V<2;++V){j=n[W=G[V]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],g.push(Z[0],Z[1]),v.push(R)}q+=1;break;case 3:for(V=0;V<3;++V)for(j=n[W=G[V]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(V=0;V<3;++V){var W,X,Z,J;j=n[W=G[2-V]];a.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?i.push(X[0],X[1],X[2],this.opacity):(i.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],c.push(Z[0],Z[1]),J=w?w[W]:k[R],l.push(J[0],J[1],J[2]),f.push(R)}U+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=U,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},T.drawTransparent=T.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},T.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},T.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},T.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=A(t),c=S(t),h=E(t),f=L(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),y=a(t),x=a(t),b=a(t),_=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=a(t),T=a(t),M=a(t),C=a(t),P=i(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:M,type:t.FLOAT,size:2}]),O=a(t),z=a(t),I=a(t),D=a(t),R=a(t),F=i(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,C,T,M,P,O,R,z,I,D,F,B,i(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},{\"./lib/closest-point\":281,\"./lib/shaders\":282,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:452,normals:455,\"simplicial-complex-contour\":517,\"typedarray-pool\":544}],284:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],285:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var v=i[g],m=i[g+2]-v,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*m/x,c[g]=2*(v-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],x=m[3]-m[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var k=p[w],T=p[w+2]-k,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*T/A,t[w]=2*(k-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*h[0].length,O=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),I=0+6*O,D=6*Math.max(0,z-O),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*v/y,o[1]=L[1]*v/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*v/y,o[1]=E[0]*v/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*v/y,o[1]=L[3]*v/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*v/y,o[1]=E[2]*v/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304}],286:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],287:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:411}],288:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,v=e.tickColor,m=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],T=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t],r.uniforms.angle=m[t],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t]&&k&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,k)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t+2],r.uniforms.angle=m[t+2],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t+2]&&k&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,k))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,v=a[o],m=a[o+2]-v;p[o]=2*l/u*g/m,f[o]=2*(s-c)/u*g/m}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,v=p.font||\"sans-serif\";a=p.fontSize||12;for(var m=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(v,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*m);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304,\"text-cache\":535}],289:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],290:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,m=this.borderLineWidth,y=this.borderLineColor;for(v[1]&&o.drawLine(r[0],r[1]-.5*m[1]*a,r[0],r[3]+.5*m[3]*a,m[1],y[1]),v[0]&&o.drawLine(r[0]-.5*m[0]*a,r[1],r[2]+.5*m[2]*a,r[1],m[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*m[1]*a,r[2],r[3]+.5*m[3]*a,m[3],y[3]),v[2]&&o.drawLine(r[0]-.5*m[0]*a,r[3],r[2]+.5*m[2]*a,r[3],m[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":284,\"./lib/grid\":285,\"./lib/line\":286,\"./lib/text\":288,\"gl-select-static\":303}],291:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,v=!!(1&e),m=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,k=d.flipY?1:-1,T=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&v&&!f&&!p&&!g||v&&!f&&!p&&g)&&c.rotate(M,w*T*b,-k*T*_,0),(l&&v&&!f&&!p&&!g||m||v&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&v&&!f&&!p&&!g||y||v&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener(\"touchmove\",function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener(\"touchend\",function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":413,\"mouse-change\":437,\"mouse-event-offset\":438,\"mouse-wheel\":440,\"right-now\":503}],292:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":304,glslify:411}],293:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function v(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function m(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement(\"canvas\"),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var y=t.gl;y||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),y=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!y)throw new Error(\"webgl not supported\");var x=t.bounds||[[-10,-10,-10],[10,10,10]],b=new g,_=l(y,y.drawingBufferWidth,y.drawingBufferHeight,{preferFloat:!d}),w=p(y),k=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:k},M=t.axes||{},A=a(y,M);A.enable=!M.disable;var S=t.spikes||{},E=o(y,S),L=[],C=[],P=[],O=[],z=!0,I=!0,D=new Array(16),R=new Array(16),F={view:null,projection:D,model:R,_ortho:!1},I=!0,B=[y.drawingBufferWidth,y.drawingBufferHeight],N=t.cameraObject||n(e,T),j={gl:y,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:b,camera:N,axes:A,axesPixels:null,spikes:E,bounds:x,objects:L,shape:B,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:m(t.autoResize),autoBounds:m(t.autoBounds),autoScale:!!t.autoScale,autoCenter:m(t.autoCenter),clipToBounds:m(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},V=[y.drawingBufferWidth/j.pixelRatio|0,y.drawingBufferHeight/j.pixelRatio|0];function U(){if(!j._stopped&&j.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*j.pixelRatio),i=0|Math.ceil(n*j.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",z=!0}}}j.autoResize&&U();function q(){for(var t=L.length,e=O.length,r=0;r<e;++r)P[r]=0;t:for(var r=0;r<t;++r){var n=L[r],a=n.pickSlots;if(a){for(var i=0;i<e;++i)if(P[i]+a<255){C[r]=i,n.setPickBase(P[i]+1),P[i]+=a;continue t}var o=s(y,B);C[r]=e,O.push(o),P.push(a),n.setPickBase(1),e+=1}else C[r]=-1}for(;e>0&&0===P[e-1];)P.pop(),O.pop().dispose()}function H(){if(j.contextLost)return!0;y.isContextLost()&&(j.contextLost=!0,j.mouseListener.enabled=!1,j.selection.object=null,j.oncontextloss&&j.oncontextloss())}window.addEventListener(\"resize\",U),j.update=function(t){j._stopped||(t=t||{},z=!0,I=!0)},j.add=function(t){j._stopped||(t.axes=A,L.push(t),C.push(-1),z=!0,I=!0,q())},j.remove=function(t){if(!j._stopped){var e=L.indexOf(t);e<0||(L.splice(e,1),C.pop(),z=!0,I=!0,q())}},j.dispose=function(){if(!j._stopped&&(j._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),j.mouseListener.enabled=!1,!j.contextLost)){A.dispose(),E.dispose();for(var t=0;t<L.length;++t)L[t].dispose();_.dispose();for(var t=0;t<O.length;++t)O[t].dispose();w.dispose(),y=null,A=null,E=null,L=[]}},j._mouseRotating=!1,j._prevButtons=0,j.enableMouseListeners=function(){j.mouseListener=u(e,function(t,e,r){if(!j._stopped){var n=O.length,a=L.length,i=b.object;b.distance=1/0,b.mouse[0]=e,b.mouse[1]=r,b.object=null,b.screen=null,b.dataCoordinate=b.dataPosition=null;var o=!1;if(t&&j._prevButtons)j._mouseRotating=!0;else{j._mouseRotating&&(I=!0),j._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,V[1]-r-1,j.pickRadius);if(l){if(l.distance>b.distance)continue;for(var c=0;c<a;++c){var u=L[c];if(C[c]===s){var h=u.pick(l);h&&(b.buttons=t,b.screen=l.coord,b.distance=l.distance,b.object=u,b.index=h.distance,b.dataPosition=h.position,b.dataCoordinate=h.dataCoordinate,b.data=h,o=!0)}}}}}i&&i!==b.object&&(i.highlight&&i.highlight(null),z=!0),b.object&&(b.object.highlight&&b.object.highlight(b.data),z=!0),(o=o||b.object!==i)&&j.onselect&&j.onselect(b),1&t&&!(1&j._prevButtons)&&j.onclick&&j.onclick(b),j._prevButtons=t}})},e.addEventListener(\"webglcontextlost\",H);var G=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Y=[G[0].slice(),G[1].slice()];function W(){if(!H()){U();var t=j.camera.tick();F.view=j.camera.matrix,z=z||t,I=I||t,A.pixelRatio=j.pixelRatio,E.pixelRatio=j.pixelRatio;var e=L.length,r=G[0],n=G[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var a=0;a<e;++a){var o=L[a];o.pixelRatio=j.pixelRatio,o.axes=j.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)r[p]=Math.min(r[p],l[p]),n[p]=Math.max(n[p],u[p])}var d=j.bounds;if(j.autoBounds)for(var p=0;p<3;++p){if(n[p]<r[p])r[p]=-1,n[p]=1;else{r[p]===n[p]&&(r[p]-=1,n[p]+=1);var g=.05*(n[p]-r[p]);r[p]=r[p]-g,n[p]=n[p]+g}d[0][p]=r[p],d[1][p]=n[p]}for(var m=!1,p=0;p<3;++p)m=m||Y[0][p]!==d[0][p]||Y[1][p]!==d[1][p],Y[0][p]=d[0][p],Y[1][p]=d[1][p];if(I=I||m,z=z||m){if(m){for(var x=[0,0,0],a=0;a<3;++a)x[a]=v((d[1][a]-d[0][a])/10);A.autoTicks?A.update({bounds:d,tickSpacing:x}):A.update({bounds:d})}var T=y.drawingBufferWidth,M=y.drawingBufferHeight;B[0]=T,B[1]=M,V[0]=0|Math.max(T/j.pixelRatio,1),V[1]=0|Math.max(M/j.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;for(var g=0,d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(var d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(j,k);for(var a=0;a<e;++a){var o=L[a];o.axesBounds=d,j.clipToBounds&&(o.clipBounds=d)}b.object&&(j.snapToData?E.position=b.dataCoordinate:E.position=b.dataPosition,E.bounds=d),I&&(I=!1,function(){if(H())return;y.colorMask(!0,!0,!0,!0),y.depthMask(!0),y.disable(y.BLEND),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL);for(var t=L.length,e=O.length,r=0;r<e;++r){var n=O[r];n.shape=V,n.begin();for(var a=0;a<t;++a)if(C[a]===r){var i=L[a];i.drawPick&&(i.pixelRatio=1,i.drawPick(F))}n.end()}}()),j.axesPixels=i(j.axes,F,T,M),j.onrender&&j.onrender(),y.bindFramebuffer(y.FRAMEBUFFER,null),y.viewport(0,0,T,M),j.clearRGBA(),y.depthMask(!0),y.colorMask(!0,!0,!0,!0),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL),y.disable(y.BLEND),y.disable(y.CULL_FACE);var S=!1;A.enable&&(S=S||A.isTransparent(),A.draw(F)),E.axes=A,b.object&&E.draw(F),y.disable(y.CULL_FACE);for(var a=0;a<e;++a){var o=L[a];o.axes=A,o.pixelRatio=j.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(F),o.isTransparent&&o.isTransparent()&&(S=!0)}if(S){_.shape=B,_.bind(),y.clear(y.DEPTH_BUFFER_BIT),y.colorMask(!1,!1,!1,!1),y.depthMask(!0),y.depthFunc(y.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isOpaque&&o.isOpaque()&&o.draw(F)}y.enable(y.BLEND),y.blendEquation(y.FUNC_ADD),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.colorMask(!0,!0,!0,!0),y.depthMask(!1),y.clearColor(0,0,0,0),y.clear(y.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isTransparent&&o.isTransparent()&&o.drawTransparent(F)}y.bindFramebuffer(y.FRAMEBUFFER,null),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.disable(y.DEPTH_TEST),w.bind(),_.color[0].bind(0),w.uniforms.accumBuffer=0,c(y),y.disable(y.BLEND)}z=!1;for(var a=0;a<e;++a)L[a].dirty=!1}}}return j.enableMouseListeners(),function t(){j._stopped||j.contextLost||(W(),requestAnimationFrame(t))}(),j.redraw=function(){j._stopped||(z=!0,W())},j},createCamera:n}},{\"./camera.js\":291,\"./lib/shader\":292,\"a-big-triangle\":62,\"gl-axes3d\":236,\"gl-axes3d/properties\":243,\"gl-fbo\":252,\"gl-mat4/ortho\":271,\"gl-mat4/perspective\":272,\"gl-select-static\":303,\"gl-spikes3d\":313,\"is-mobile\":422,\"mouse-change\":437}],294:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:411}],295:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":294,\"gl-buffer\":244,\"gl-shader\":304,\"typedarray-pool\":544}],296:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],v=r[3];(i=c*p+u*d+h*g+f*v)<0&&(i=-i,p=-p,d=-d,g=-g,v=-v);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*v,t}},{}],297:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],298:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":549}],299:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};function m(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return m(t,h)},r.createOrtho=function(t){return m(t,f)},r.createProject=function(t){return m(t,p)},r.createPickPerspective=function(t){return m(t,d)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{\"gl-shader\":304,glslify:411}],300:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t>1?1:t}function v(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,h,f,p,d,g,s,c,u);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],k=h.slice(),T=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(i[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=k,L=0;L<16;++L)m[L]=0;for(L=0;L<4;++L)m[5*L]=1;m[5*v]=0,a[v]<0?m[12+v]=d[0][v]:m[12+v]=d[1][v],s(m,c,m),l.model=m;var C=(v+1)%3,P=(v+2)%3,O=A(x),z=A(b);O[C]=1,z[P]=1;var I=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,z));if(Math.abs(I[1])>Math.abs(D[1])){var R=I;I=D,D=R,R=O,O=z,z=R;var F=C;C=P,P=F}I[0]<0&&(O[C]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);O[C]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=z,l.fragClipBounds[0]=E(T,g[0],v,-1e8),l.fragClipBounds[1]=E(T,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&L(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},m.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,v=t.angle,m=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*T.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,I=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(m)&&Array.isArray(m[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(V=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)D[k]=V[k];D[3]=1}else if(4===V.length){for(k=0;k<4;++k)D[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(m)){var V;if(3===(V=B?n<m.length?m[n]:[0,0,0,0]:m).length){for(k=0;k<3;++k)R[k]=V[k];R[k]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var U=.5;j?Array.isArray(d)?U=n<d.length?+d[n]:12:d?U=+d:this.useOrtho&&(U=12):U=0;var q=0;Array.isArray(v)?q=n<v.length?+v[n]:0:v&&(q=+v);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],k=0;k<3;++k)h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=T.cells||[],J=T.positions||[];for(k=0;k<Z.length;++k)for(var K=Z[k],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];C[2*z]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=U*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=M.edges,J=M.positions,k=0;k<Z.length;++k)for(K=Z[k],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*I+$]=w[$];for($=0;$<4;++$)L[4*I+$]=R[$];P[I]=y;tt=J[K[Q]];C[2*I]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=U*(G*tt[0]+H*tt[1]+X[1]),I+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},m.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":297,\"./lib/glyphs\":298,\"./lib/shaders\":299,\"gl-buffer\":244,\"gl-mat4/multiply\":270,\"gl-vao\":329,\"is-string-blank\":425,\"typedarray-pool\":544}],301:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:411}],302:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,v,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var m=r*u;o.drawBox(h-m,f-m,p+m,f+m,i),o.drawBox(h-m,d-m,p+m,d+m,i),o.drawBox(h-m,f-m,h+m,d+m,i),o.drawBox(p-m,f-m,p+m,d+m,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":301,\"gl-buffer\":244,\"gl-shader\":304}],303:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new c(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2,s=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}\",args:[{name:\"_inline_16_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_16_a\",\"_inline_16_f\",\"_inline_16_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64});function l(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function c(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=c.prototype;Object.defineProperty(u,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),u.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},u.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},u.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),c=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||u<=c)return null;var h=[o-a,u-c],f=i(this.buffer,[h[0],h[1],4],[4,4*n[0],1],4*(a+n[0]*c)),p=s(f.hi(h[0],h[1],1),r,r),d=p[0],g=p[1];return d<0||Math.pow(this.radius,2)<p[2]?null:new l(d+a|0,g+c|0,f.get(d,g,0),[f.get(d,g,1),f.get(d,g,2),f.get(d,g,3)],Math.sqrt(p[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":94,\"cwise/lib/wrapper\":151,\"gl-fbo\":252,ndarray:452,\"typedarray-pool\":544}],304:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function 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 h(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var t=this.gl.lastAttribCount,e=0;e<t;e++)this.gl.disableVertexAttribArray(e);this.gl.lastAttribCount=0,this._fref&&this._fref.dispose(),this._vref&&this._vref.dispose(),this.attributes=this.types=this.vertShader=this.fragShader=this.program=this._relink=this._fref=this._vref=null},u.update=function(t,e,r,c){if(!e||1===arguments.length){var u=t;t=u.vertex,e=u.fragment,r=u.uniforms,c=u.attributes}var 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i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],310:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,a=r.length;n<a;++n){var i=t.programs[r[n]];i&&(delete t.programs[n],e.deleteProgram(i))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var c=l.prototype;function u(t){var e=i.get(t);return e||(e=new l(t),i.set(t,e)),e}c.getShaderReference=function(t,e){var 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&i.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&i.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&i.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&i.drawLine(l,c,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],312:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * 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s=[t,e,n,0,0,0,1];s[a+3]=1,s[a]=i,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[a]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[a]=i,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=a(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=i(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var h=new s(t,l,c,u);return h.update(e),h};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var a,i=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(a=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)a&&a[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=i,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":312,\"gl-buffer\":244,\"gl-vao\":329}],314:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:411}],315:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map(function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,v=0,m=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),v=n.length(_)/i,m=a.create(),n.copy(m,_),m[3]=w;for(var k=0;k<8;k++)p[k]=[b[0],b[1],b[2],k];if(f.length>0)for(k=0;k<8;k++){var T=(k+1)%8;c.push(f[k],p[k],p[T],p[T],f[T],f[k]),h.push(y,m,m,m,y,y),d.push(g,v,v,v,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=m,m=S;var E=g;g=v,v=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)}),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],v=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var m=g.cells[c],y=[];f.push(y);for(var x=0;x<m.length;x++)y.push(m[x]+v)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),v=s(i[2],u),m=d+1,y=g+1,x=v+1;if(d=l(d,0,h-1),m=l(m,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),v=l(v,0,p-1),x=l(x,0,p-1),d<0||g<0||v<0||m>h-1||y>f-1||x>p-1)return n.create();var b,_,w,k,T,M,A=i[0][d],S=i[0][m],E=i[1][g],L=i[1][y],C=i[2][v],P=(o-A)/(S-A),O=(c-E)/(L-E),z=(u-C)/(i[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,m=h-1-m),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(v=p-1-v,x=p-1-x),r.filled){case 5:T=v,M=x,w=g*p,k=y*p,b=d*p*f,_=m*p*f;break;case 4:T=v,M=x,b=d*p,_=m*p,w=g*p*h,k=y*p*h;break;case 3:w=g,k=y,T=v*f,M=x*f,b=d*f*p,_=m*f*p;break;case 2:w=g,k=y,b=d*f,_=m*f,T=v*f*h,M=x*f*h;break;case 1:b=d,_=m,T=v*h,M=x*h,w=g*h*p,k=y*h*p;break;default:b=d,_=m,w=g*h,k=y*h,T=v*h*f,M=x*h*f}var I=a[b+w+T],D=a[b+w+M],R=a[b+k+T],F=a[b+k+M],B=a[_+w+T],N=a[_+w+M],j=a[_+k+T],V=a[_+k+M],U=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(U,I,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,V,P);var Y=n.create(),W=n.create();n.lerp(Y,U,H,O),n.lerp(W,q,G,O);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1e4),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,i,o),n.add(r,r,s),r},v=[],m=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],k=function(t){var e=t[0],r=t[1],n=t[2];return!(e<m||e>b||r<y||r>_||n<x||n>w)},T=10*n.distance(e[0],e[1])/a,M=T*T,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),v=c(n),m=Math.min(d,g,v);return isFinite(m)?m:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],z=d(C),I=C;O.push(z);var D=[],R=g(C,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),v.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*a&&P.length<a&&k(C);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,T/Math.sqrt(j)),n.add(N,N,C),z=d(N),n.squaredDistance(I,N)-M>-1e-4*M){P.push(N),I=N,O.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var V=o(v,t.colormap,S,A);return h?V.tubeScale=h:(0===S&&(S=1),V.tubeScale=.5*u*A/S),V};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":314,\"gl-cone3d\":245,\"gl-vec3\":348,\"gl-vec4\":384}],316:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":304,glslify:411}],317:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],318:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),m={levels:[[],[],[]]};for(var k in t)m[k]=t[k];return m.colormap=m.colormap||\"jet\",v.update(m),v};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),v=t(\"ndarray-gradient\"),m=t(\"./lib/shaders\"),y=m.createShader,x=m.createContourShader,b=m.createPickShader,_=m.createPickContourShader,w=40,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],M=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=M[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,a,i,o,l,c,u,f,p,d,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.isTransparent=function(){return this.opacity<1},L.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=P.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var z={model:k,view:k,projection:k,inverseModel:k.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=k.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||k,n.view=t.view||k,n.projection=t.projection||k,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=O(n,this);if(u.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour&&!e){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=M[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=M[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=M[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:k,view:k,projection:k,inverseModel:k,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||k,r.view=t.view||k,r.projection=t.projection||k,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=M[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=M[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,v=h*(f?l:1-l),m=0;m<3;++m)c[m]+=this._field[m].get(p,d)*v;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m<3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var m=g[o];if((Array.isArray(m)||m.length)&&(m=h(m)),m.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(m.data,i);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)v(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),E=w.get(1,o,b,0),L=w.get(1,o,b,1),C=w.get(2,o,b,0),P=w.get(2,o,b,1),O=E*P-L*C,z=C*A-P*M,I=M*L-A*E,D=Math.sqrt(O*O+z*z+I*I);D<1e-8?(D=Math.max(Math.abs(O),Math.abs(z),Math.abs(I)))<1e-8?(I=1,z=O=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,O*D),k.set(o,b,1,z*D),k.set(o,b,2,I*D)}s.free(w.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,V=-1/0,U=(i[0]-1)*(i[1]-1)*6,q=s.mallocFloat(n.nextPow2(10*U)),H=0,G=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var Y=0;Y<2;++Y)for(var W=0;W<2;++W)for(var X=0;X<3;++X){var Z=this._field[X].get(1+o+Y,1+b+W);if(isNaN(Z)||!isFinite(Z))continue t}for(X=0;X<6;++X){var J=o+T[X][0],K=b+T[X][1],Q=this._field[0].get(J+1,K+1),$=this._field[1].get(J+1,K+1);Z=this._field[2].get(J+1,K+1),O=k.get(J+1,K+1,0),z=k.get(J+1,K+1,1),I=k.get(J+1,K+1,2),t.intensity&&(tt=t.intensity.get(J,K));var tt=t.intensity?t.intensity.get(J,K):Z+this.objectOffset[2];q[H++]=J,q[H++]=K,q[H++]=Q,q[H++]=$,q[H++]=Z,q[H++]=0,q[H++]=tt,q[H++]=O,q[H++]=z,q[H++]=I,R[0]=Math.min(R[0],Q+this.objectOffset[0]),R[1]=Math.min(R[1],$+this.objectOffset[1]),R[2]=Math.min(R[2],Z+this.objectOffset[2]),N=Math.min(N,tt),F[0]=Math.max(F[0],Q+this.objectOffset[0]),F[1]=Math.max(F[1],$+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),V=Math.max(V,tt),G+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],V=+t.intensityBounds[1]),o=6;o<H;o+=10)q[o]=(q[o]-N)/(V-N);this._vertexCount=G,this._coordinateBuffer.update(q.subarray(0,H)),s.freeFloat(q),s.free(k.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===V||(r=!0),this.intensityBounds=[N,V]}if(\"levels\"in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o<3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(b=0;b<et[o].length;++b)et[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<et[o].length;++b)if(et[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,i=this.shape;for(var rt=[],nt=0;nt<3;++nt){var at=this.contourLevels[nt],it=[],ot=[],st=[0,0,0];for(o=0;o<at.length;++o){var lt=f(this._field[nt],at[o]);it.push(rt.length/5|0),G=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(X=0;X<2;++X){var ut=lt.positions[ct[X]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),vt=dt-gt,mt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(nt+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),i[0]),W=0;W<2;++W){var _t=W?vt:1-vt;if(K=0|Math.min(Math.max(gt+W,0),i[1]),Z=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=bt*_t;st[yt]+=wt*Z}}}if(mt){if(X>0){for(var kt=0;kt<5;++kt)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ut[0],ut[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=it,this._contourCounts[nt]=ot}var Tt=s.mallocFloat(rt.length);for(o=0;o<rt.length;++o)Tt[o]=rt[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t){var e=u([l({colormap:t,nshades:S,format:\"rgba\"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return c.divseq(e,255),e}(t.colormap))},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,v=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var m=g[e],y=0;y<2;++y){var x=v[m[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),k=b-_,T=1-k,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,L=1-E,C=T*L,P=T*E,O=k*L,z=k*E,I=C*h.get(_,A)+P*h.get(_,S)+O*h.get(w,A)+z*h.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+O*p.get(w,A)+z*p.get(w,S);if(isNaN(I)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=I,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":316,\"binary-search-bounds\":317,\"bit-twiddle\":94,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:452,\"ndarray-gradient\":443,\"ndarray-ops\":446,\"ndarray-pack\":447,\"surface-nets\":530,\"typedarray-pool\":544}],319:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),v=t(\"object-assign\"),m=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var k=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(k.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(k.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(t){return parseFloat(t)}):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(k.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:k.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=k.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:m(c,{origin:\"top\",fontSize:k.baseFontSize,fontStyle:u.join(\" \")})},k.fonts[a]=e.font[r]}}),(i||o)&&this.font.forEach(function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)}),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach(function(t,n){k.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);v(t.kerning,g(t.family,{pairs:s}))}}})}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,T=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)T[A++]=t.position[2*M],T[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)T[A++]=t.position[M][0],T[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:T}):this.position=this.regl.buffer({type:\"float\",data:T}),u.freeFloat(T)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,z=0;O<this.counts.length;O++){for(var I=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<I;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(C[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],V=P[2*z],U=P[2*z-1]+.5*j+.5*V;if(this.kerning){var q=D.kerning[N+B];q&&(U+=.001*q)}P[2*z+1]=U}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach(function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(k.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:k.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0})),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],k.normalViewport||(a*=-1),a})),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text=\"\",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new Uint8Array([0,0,0,255]),k.prototype.alignOffset=[0,0],k.normalViewport=!1,k.maxAtlasSize=1024,k.atlasCanvas=document.createElement(\"canvas\"),k.atlasContext=k.atlasCanvas.getContext(\"2d\",{alpha:!1}),k.baseFontSize=64,k.fonts={},e.exports=k},{\"bit-twiddle\":94,\"color-normalize\":122,\"css-font\":141,\"detect-kerning\":168,\"es6-weak-map\":320,\"flatten-vertex-data\":230,\"font-atlas\":231,\"font-measure\":232,\"gl-util/context\":325,\"is-plain-obj\":424,\"object-assign\":456,\"parse-rect\":461,\"parse-unit\":463,\"pick-by-alias\":467,regl:501,\"to-px\":538,\"typedarray-pool\":544}],320:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?WeakMap:t(\"./polyfill\")},{\"./is-implemented\":321,\"./polyfill\":323}],321:[function(t,e,r){\"use strict\";e.exports=function(){var t,e;if(\"function\"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},\"one\"],[{},\"two\"],[{},\"three\"]])}catch(t){return!1}return\"[object WeakMap]\"===String(t)&&(\"function\"==typeof 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v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,a,i){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new f(t,o,r,n,a,i)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,p,v=0;if(2===o.length)v=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");v=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)h=0===e.offset&&e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];p=i.malloc(m,r);var x=n(p,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):u(x,e),h=p.subarray(0,m)}var b=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,c,h),l||i.free(p);return new f(t,b,o[0],o[1],v,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var u=function(t,e){a.muls(t,e,255)};function h(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new f(t,o,e,r,n,a)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return 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Math.min.apply(Math,e.map(function(e){return e.evaluate(t)}))}],max:[It,sr(It),function(t,e){return Math.max.apply(Math,e.map(function(e){return e.evaluate(t)}))}],abs:[It,[It],function(t,e){var r=e[0];return Math.abs(r.evaluate(t))}],round:[It,[It],function(t,e){var r=e[0].evaluate(t);return r<0?-Math.round(-r):Math.round(r)}],floor:[It,[It],function(t,e){var r=e[0];return Math.floor(r.evaluate(t))}],ceil:[It,[It],function(t,e){var r=e[0];return Math.ceil(r.evaluate(t))}],\"filter-==\":[Rt,[Dt,Nt],function(t,e){var r=e[0],n=e[1];return t.properties()[r.value]===n.value}],\"filter-id-==\":[Rt,[Nt],function(t,e){var r=e[0];return t.id()===r.value}],\"filter-type-==\":[Rt,[Dt],function(t,e){var r=e[0];return t.geometryType()===r.value}],\"filter-<\":[Rt,[Dt,Nt],function(t,e){var r=e[0],n=e[1],a=t.properties()[r.value],i=n.value;return typeof a==typeof i&&a<i}],\"filter-id-<\":[Rt,[Nt],function(t,e){var r=e[0],n=t.id(),a=r.value;return typeof n==typeof 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e[0].evaluate(t).toUpperCase()}],downcase:[Dt,[Dt],function(t,e){return e[0].evaluate(t).toLowerCase()}],concat:[Dt,sr(Nt),function(t,e){return e.map(function(e){return $t(e.evaluate(t))}).join(\"\")}],\"resolved-locale\":[Dt,[jt],function(t,e){return e[0].evaluate(t).resolvedLocale()}]});var _r=function(t,e){this.expression=t,this._warningHistory={},this._evaluator=new le,this._defaultValue=e?function(t){return\"color\"===t.type&&dr(t.default)?new Wt(0,0,0,0):\"color\"===t.type?Wt.parse(t.default)||null:void 0===t.default?null:t.default}(e):null,this._enumValues=e&&\"enum\"===e.type?e.values:null};function wr(t){return Array.isArray(t)&&t.length>0&&\"string\"==typeof t[0]&&t[0]in nr}function kr(t,e){var r=new ge(nr,[],e?function(t){var e={color:Ft,string:Dt,number:It,enum:Dt,boolean:Rt,formatted:Vt};return\"array\"===t.type?Ut(e[t.value]||Nt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?lr(new 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Tr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!fe(e.expression)};Tr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Tr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)};var Mr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!fe(e.expression),this.interpolationType=n};function Ar(t,e){if(\"error\"===(t=kr(t,e)).result)return t;var r=t.value.expression,n=he(r);if(!n&&!ur(e))return cr([new Pt(\"\",\"data expressions not supported\")]);var a=pe(r,[\"zoom\"]);if(!a&&!hr(e))return cr([new Pt(\"\",\"zoom expressions not supported\")]);var i=function t(e){var r=null;if(e instanceof Ue)r=t(e.result);else if(e instanceof Ve)for(var n=0,a=e.args;n<a.length;n+=1){var i=a[n];if(r=t(i))break}else(e instanceof me||e instanceof Ne)&&e.input instanceof ce&&\"zoom\"===e.input.name&&(r=e);return r instanceof Pt?r:(e.eachChild(function(e){var n=t(e);n instanceof Pt?r=n:!r&&n?r=new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):r&&n&&r!==n&&(r=new Pt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))}),r)}(r);if(!i&&!a)return cr([new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(i instanceof Pt)return cr([i]);if(i instanceof Ne&&!fr(e))return cr([new Pt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!i)return lr(new Tr(n?\"constant\":\"source\",t.value));var o=i instanceof Ne?i.interpolation:void 0;return lr(new Mr(n?\"camera\":\"composite\",t.value,i.labels,o))}Mr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Mr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)},Mr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?Ne.interpolationFactor(this.interpolationType,t,e,r):0};var Sr=function(t,e){this._parameters=t,this._specification=e,St(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(fr(r)?\"exponential\":\"interval\");if(o&&((e=St({},e)).stops&&(e.stops=e.stops.map(function(t){return[t[0],Wt.parse(t[1])]})),e.default?e.default=Wt.parse(e.default):e.default=Wt.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!Be[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===u)n=xr;else if(\"interval\"===u)n=yr;else if(\"categorical\"===u){n=mr,a=Object.create(null);for(var h=0,f=e.stops;h<f.length;h+=1){var p=f[h];a[p[0]]=p[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?vr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Er(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=pr(r);if(\"object\"!==l)return[new Mt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=Qr;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new Mt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Qr}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Mt(e,r,'missing required property \"'+p+'\"'));return s}function Lr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||Qr;if(\"array\"!==pr(e))return[new Mt(i,e,\"array expected, \"+pr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Mt(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Mt(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===pr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Cr(t){var e=t.key,r=t.value,n=t.valueSpec,a=pr(r);return\"number\"!==a?[new Mt(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Mt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Mt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Pr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===pr(t.value.stops)&&\"array\"===pr(t.value.stops[0])&&\"object\"===pr(t.value.stops[0][0]),u=Er({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new Mt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Lr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===pr(r)&&0===r.length&&e.push(new Mt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Qr({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new Mt(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new Mt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!fr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!ur(t.valueSpec)?u.push(new Mt(t.key,t.value,\"property functions not supported\")):s&&!hr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new Mt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==pr(i))return[new Mt(s,i,\"array expected, \"+pr(i)+\" found\")];if(2!==i.length)return[new Mt(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==pr(i[0]))return[new Mt(s,i,\"object expected, \"+pr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new Mt(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new Mt(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new Mt(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Er({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Cr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return wr(Ct(i[1]))?e.concat([new Mt(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(Qr({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=pr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Mt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Mt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return ur(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Mt(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new Mt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new Mt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Mt(t.key,c,\"integer expected, found \"+l)]}}function Or(t){var e=(\"property\"===t.expressionContext?Ar:kr)(Ct(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map(function(e){return new Mt(\"\"+t.key+e.key,t.value,e.message)});var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&-1!==r.possibleOutputs().indexOf(void 0))return[new Mt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!pe(r,[\"zoom\",\"feature-state\"]))return[new Mt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!he(r))return[new Mt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function zr(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new Mt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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Dr={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function Rr(t){if(null==t)return function(){return!0};Ir(t)||(t=Br(t));var e=kr(t,Dr);if(\"error\"===e.result)throw new Error(e.value.map(function(t){return t.key+\": \"+t.message}).join(\", \"));return function(t,r){return e.value.evaluate(t,r)}}function Fr(t,e){return t<e?-1:t>e?1:0}function Br(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Nr(t[1],t[2],\"==\"):\"!=\"===r?Ur(Nr(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Nr(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(Br))):\"all\"===r?[\"all\"].concat(t.slice(1).map(Br)):\"none\"===r?[\"all\"].concat(t.slice(1).map(Br).map(Ur)):\"in\"===r?jr(t[1],t.slice(2)):\"!in\"===r?Ur(jr(t[1],t.slice(2))):\"has\"===r?Vr(t[1]):\"!has\"!==r||Ur(Vr(t[1]))}function 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l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=pr(r[1]),2!==r.length?o.push(new Mt(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new Mt(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"))}return o}(t)}function Hr(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Qr({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new Mt(r,i,'unknown property \"'+o+'\"')];if(\"string\"===pr(i)&&ur(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new Mt(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var 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zr({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:a,styleSpec:n})}}function Zr(t){var e=t.value,r=t.styleSpec,n=r.light,a=t.style,i=[],o=pr(e);if(void 0===e)return i;if(\"object\"!==o)return i.concat([new Mt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);i=l&&n[l[1]]&&n[l[1]].transition?i.concat(Qr({key:s,value:e[s],valueSpec:r.transition,style:a,styleSpec:r})):n[s]?i.concat(Qr({key:s,value:e[s],valueSpec:n[s],style:a,styleSpec:r})):i.concat([new Mt(s,e[s],'unknown property \"'+s+'\"')])}return i}function Jr(t){var e=t.value,r=t.key,n=pr(e);return\"string\"!==n?[new Mt(r,e,\"string expected, \"+n+\" found\")]:[]}var Kr={\"*\":function(){return[]},array:Lr,boolean:function(t){var e=t.value,r=t.key,n=pr(e);return\"boolean\"!==n?[new Mt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:Cr,color:function(t){var e=t.key,r=t.value,n=pr(r);return\"string\"!==n?[new Mt(e,r,\"color expected, \"+n+\" found\")]:null===Yt(r)?[new Mt(e,r,'color expected, \"'+r+'\" found')]:[]},constants:At,enum:zr,filter:qr,function:Pr,layer:Wr,object:Er,source:Xr,light:Zr,string:Jr,formatted:function(t){return 0===Jr(t).length?[]:Or(t)}};function Qr(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&dr(Lt(e))?Pr(t):r.expression&&wr(Ct(e))?Or(t):r.type&&Kr[r.type]?Kr[r.type](t):Er(St({},t,{valueSpec:r.type?n[r.type]:r}))}function $r(t){var e=t.value,r=t.key,n=Jr(t);return n.length?n:(-1===e.indexOf(\"{fontstack}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{fontstack}\" token')),-1===e.indexOf(\"{range}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{range}\" token')),n)}function tn(t,e){e=e||Tt;var r=[];return 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this._forEachCell(t,e,r,n,this._queryCell,s,{},a),s},hn.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=this.cells[a];if(null!==l)for(var c=this.keys,u=this.bboxes,h=0;h<l.length;h++){var f=l[h];if(void 0===o[f]){var p=4*f;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[f]=!0,i.push(c[f])):o[f]=!1}}},hn.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),h=this._convertToCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.d*p+f;if((!s||s(this._convertFromCellCoord(f),this._convertFromCellCoord(p),this._convertFromCellCoord(f+1),this._convertFromCellCoord(p+1)))&&a.call(this,t,e,r,n,d,i,o,s))return}},hn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},hn.prototype._convertToCellCoord=function(t){return 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c=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var u in t)if(t.hasOwnProperty(u)&&!(pn[l].omit.indexOf(u)>=0)){var h=t[u];c[u]=pn[l].shallow.indexOf(u)>=0?h:vn(h,e)}t instanceof Error&&(c.message=t.message)}if(c.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(c.$name=l),c}throw new Error(\"can't serialize object of type \"+typeof t)}function mn(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||t instanceof ArrayBuffer||ArrayBuffer.isView(t)||t instanceof fn)return t;if(Array.isArray(t))return t.map(mn);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=pn[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),a=0,i=Object.keys(t);a<i.length;a+=1){var o=i[a];if(\"$name\"!==o){var 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t},e}(Zn);aa.prototype.bytesPerElement=12,dn(\"StructArrayLayout3f12\",aa);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Zn);ia.prototype.bytesPerElement=4,dn(\"StructArrayLayout1ul4\",ia);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,a,i,o,s,l,c,u)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=12*t,p=6*t;return this.int16[f+0]=e,this.int16[f+1]=r,this.int16[f+2]=n,this.int16[f+3]=a,this.int16[f+4]=i,this.int16[f+5]=o,this.uint32[p+3]=s,this.uint16[f+8]=l,this.uint16[f+9]=c,this.int16[f+10]=u,this.int16[f+11]=h,t},e}(Zn);oa.prototype.bytesPerElement=24,dn(\"StructArrayLayout6i1ul2ui2i24\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(Zn);sa.prototype.bytesPerElement=12,dn(\"StructArrayLayout2i2i2i12\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=12*t,o=3*t;return this.uint8[i+0]=e,this.uint8[i+1]=r,this.float32[o+1]=n,this.float32[o+2]=a,t},e}(Zn);la.prototype.bytesPerElement=12,dn(\"StructArrayLayout2ub2f12\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v){var m=22*t,y=11*t,x=44*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=a,this.uint32[y+2]=i,this.uint32[y+3]=o,this.uint32[y+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=c,this.uint16[m+12]=u,this.float32[y+7]=h,this.float32[y+8]=f,this.uint8[x+36]=p,this.uint8[x+37]=d,this.uint8[x+38]=g,this.uint32[y+10]=v,t},e}(Zn);ca.prototype.bytesPerElement=44,dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul44\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x){var b=this.length;return this.resize(b+1),this.emplace(b,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b){var _=24*t,w=12*t;return this.int16[_+0]=e,this.int16[_+1]=r,this.int16[_+2]=n,this.int16[_+3]=a,this.int16[_+4]=i,this.int16[_+5]=o,this.uint16[_+6]=s,this.uint16[_+7]=l,this.uint16[_+8]=c,this.uint16[_+9]=u,this.uint16[_+10]=h,this.uint16[_+11]=f,this.uint16[_+12]=p,this.uint16[_+13]=d,this.uint16[_+14]=g,this.uint16[_+15]=v,this.uint16[_+16]=m,this.uint32[w+9]=y,this.float32[w+10]=x,this.float32[w+11]=b,t},e}(Zn);ua.prototype.bytesPerElement=48,dn(\"StructArrayLayout6i11ui1ul2f48\",ua);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Zn);ha.prototype.bytesPerElement=4,dn(\"StructArrayLayout1f4\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(Zn);fa.prototype.bytesPerElement=6,dn(\"StructArrayLayout3i6\",fa);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=2*t,i=4*t;return this.uint32[a+0]=e,this.uint16[i+2]=r,this.uint16[i+3]=n,t},e}(Zn);pa.prototype.bytesPerElement=8,dn(\"StructArrayLayout1ul2ui8\",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.uint16[a+0]=e,this.uint16[a+1]=r,this.uint16[a+2]=n,t},e}(Zn);da.prototype.bytesPerElement=6,dn(\"StructArrayLayout3ui6\",da);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Zn);ga.prototype.bytesPerElement=4,dn(\"StructArrayLayout2ui4\",ga);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Zn);va.prototype.bytesPerElement=2,dn(\"StructArrayLayout1ui2\",va);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Zn);ma.prototype.bytesPerElement=8,dn(\"StructArrayLayout2f8\",ma);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(Zn);ya.prototype.bytesPerElement=16,dn(\"StructArrayLayout4f16\",ya);var xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Xn);xa.prototype.size=24;var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new xa(this,t)},e}(oa);dn(\"CollisionBoxArray\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return 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i=this.zoomInPaintVertexArray,o=this.zoomOutPaintVertexArray,s=this.layerId;if(a&&r.patterns&&r.patterns[s]){var l=r.patterns[s],c=l.min,u=l.mid,h=l.max,f=a[c],p=a[u],d=a[h];if(!f||!p||!d)return;for(var g=t;g<e;g++)i.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],f.tl[0],f.tl[1],f.br[0],f.br[1]),o.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],d.tl[0],d.tl[1],d.br[0],d.br[1])}},Ja.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ja.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()},Ja.prototype.setUniforms=function(t,e){e.set(0)},Ja.prototype.getBinding=function(t,e){return new Ba(t,e)};var Ka=function(){this.binders={},this.cacheKey=\"\",this._buffers=[],this._featureMap=new Ia,this._bufferOffset=0};Ka.createDynamic=function(t,e,r){var n=new Ka,a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof Bn&&ur(o.property.specification)){var s=$a(i,t.type),l=o.property.specification.type,c=o.property.useIntegerZoom;if(\"cross-faded\"===o.property.specification[\"property-type\"]||\"cross-faded-data-driven\"===o.property.specification[\"property-type\"])if(\"constant\"===o.value.kind)n.binders[i]=new Wa(o.value.value,s,l),a.push(\"/u_\"+i);else{var u=ti(i,l,\"source\");n.binders[i]=new Ja(o.value,s,l,c,e,u,t.id),a.push(\"/a_\"+i)}else if(\"constant\"===o.value.kind)n.binders[i]=new Ya(o.value.value,s,l),a.push(\"/u_\"+i);else if(\"source\"===o.value.kind){var h=ti(i,l,\"source\");n.binders[i]=new Xa(o.value,s,l,h),a.push(\"/a_\"+i)}else{var f=ti(i,l,\"composite\");n.binders[i]=new Za(o.value,s,l,c,e,f),a.push(\"/z_\"+i)}}}return n.cacheKey=a.sort().join(\"\"),n},Ka.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders)this.binders[i].populatePaintArray(t,e,n,a);void 0!==e.id&&this._featureMap.add(+e.id,r,this._bufferOffset,t),this._bufferOffset=t},Ka.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders)this.binders[r].setConstantPatternPositions(t,e)},Ka.prototype.updatePaintArrays=function(t,e,r,n){var a=!1;for(var i in t)for(var o=0,s=this._featureMap.getPositions(+i);o<s.length;o+=1){var l=s[o],c=e.feature(l.index);for(var u in this.binders){var h=this.binders[u];if(!(h instanceof Ya||h instanceof Wa)&&!0===h.expression.isStateDependent){var f=r.paint.get(u);h.expression=f.value,h.updatePaintArray(l.start,l.end,c,t[i],n),a=!0}}}return a},Ka.prototype.defines=function(){var t=[];for(var e in this.binders)t.push.apply(t,this.binders[e].defines());return t},Ka.prototype.getPaintVertexBuffers=function(){return this._buffers},Ka.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders)for(var a=this.binders[n],i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s]);r.push({name:s,property:n,binding:l})}}return r},Ka.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniforms(t,c,n,r.get(l),s)}},Ka.prototype.updatePatternPaintBuffers=function(t){var e=[];for(var r in this.binders){var n=this.binders[r];if(n instanceof Ja){var a=2===t.fromScale?n.zoomInPaintVertexBuffer:n.zoomOutPaintVertexBuffer;a&&e.push(a)}else(n instanceof Xa||n instanceof Za)&&n.paintVertexBuffer&&e.push(n.paintVertexBuffer)}this._buffers=e},Ka.prototype.upload=function(t){for(var e in this.binders)this.binders[e].upload(t);var r=[];for(var n in this.binders){var a=this.binders[n];(a instanceof Xa||a instanceof Za)&&a.paintVertexBuffer&&r.push(a.paintVertexBuffer)}this._buffers=r},Ka.prototype.destroy=function(){for(var t in this.binders)this.binders[t].destroy()};var Qa=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=Ka.createDynamic(o,r,n),this.programConfigurations[o.id].layoutAttributes=t}this.needsUpload=!1};function $a(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function ti(t,e,r){var n={color:{source:ma,composite:ya},number:{source:ha,composite:ma}},a=function(t){return{\"line-pattern\":{source:ra,composite:ra},\"fill-pattern\":{source:ra,composite:ra},\"fill-extrusion-pattern\":{source:ra,composite:ra}}[t]}(t);return a&&a[r]||n[e][r]}Qa.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.programConfigurations)this.programConfigurations[i].populatePaintArrays(t,e,r,n,a);this.needsUpload=!0},Qa.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,e,o,n)||this.needsUpload}},Qa.prototype.get=function(t){return this.programConfigurations[t]},Qa.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Qa.prototype.destroy=function(){for(var t in 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t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qn,this.indexArray=new da,this.segments=new Oa,this.programConfigurations=new Qa(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function oi(t,e){for(var r=0;r<t.length;r++)if(gi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(gi(t,e[n]))return!0;return!!ui(t,e)}function si(t,e,r){return!!gi(t,e)||!!fi(e,t,r)}function li(t,e){if(1===t.length)return di(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(gi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(di(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(ui(t,e[o]))return!0;return!1}function ci(t,e,r){if(t.length>1){if(ui(t,e))return!0;for(var n=0;n<e.length;n++)if(fi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(fi(t[a],e,r))return!0;return!1}function ui(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(hi(n,a,e[i],e[i+1]))return!0;return!1}function hi(t,e,r,n){return k(t,r,n)!==k(e,r,n)&&k(t,e,r)!==k(t,e,n)}function fi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(pi(t,e[a-1],e[a])<n)return!0;return!1}function pi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return a<0?t.distSqr(e):a>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(a)._add(e))}function di(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],a=r[l],n.y>e.y!=a.y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function gi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function vi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=k(t,e,r[0]);return i!==k(t,e,r[1])||i!==k(t,e,r[2])||i!==k(t,e,r[3])}function mi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).binders[t].maxValue}function yi(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function xi(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}ii.prototype.populate=function(t,e){var r=this.layers[0],n=[],a=null;\"circle\"===r.type&&(a=r.layout.get(\"circle-sort-key\"));for(var i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.index,u=s.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),l)){var h=ni(l),f=a?a.evaluate(l,{}):void 0,p={id:l.id,properties:l.properties,type:l.type,sourceLayerIndex:u,index:c,geometry:h,patterns:{},sortKey:f};n.push(p)}}a&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var d=0,g=n;d<g.length;d+=1){var v=g[d],m=v,y=m.geometry,x=m.index,b=m.sourceLayerIndex,_=t[x].feature;this.addFeature(v,y,x),e.featureIndex.insert(_,y,x,b,this.index)}},ii.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ii.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ii.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ii.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Pa),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ii.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ii.prototype.addFeature=function(t,e,r){for(var n=0,a=e;n<a.length;n+=1)for(var i=0,o=a[n];i<o.length;i+=1){var s=o[i],l=s.x,c=s.y;if(!(l<0||l>=ei||c<0||c>=ei)){var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=u.vertexLength;ai(this.layoutVertexArray,l,c,-1,-1),ai(this.layoutVertexArray,l,c,1,-1),ai(this.layoutVertexArray,l,c,1,1),ai(this.layoutVertexArray,l,c,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),u.vertexLength+=4,u.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{})},dn(\"CircleBucket\",ii,{omit:[\"layers\"]});var bi,_i=new Gn({\"circle-sort-key\":new Vn(Tt.layout_circle[\"circle-sort-key\"])}),wi={paint:new Gn({\"circle-radius\":new Vn(Tt.paint_circle[\"circle-radius\"]),\"circle-color\":new Vn(Tt.paint_circle[\"circle-color\"]),\"circle-blur\":new Vn(Tt.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Vn(Tt.paint_circle[\"circle-opacity\"]),\"circle-translate\":new jn(Tt.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new ii(t)},e.prototype.queryRadius=function(t){var e=t;return mi(\"circle-radius\",this,e)+mi(\"circle-stroke-width\",this,e)+yi(this.paint.get(\"circle-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,i,o,s){for(var l=xi(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),i.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return l.map(function(t){return Ai(t,e)})}(0,s),f=u?c*o:c,p=0,d=n;p<d.length;p+=1)for(var g=0,v=d[p];g<v.length;g+=1){var 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i=Ei({},{width:n,height:a},r);Ci(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function Ci(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}dn(\"HeatmapBucket\",Si,{omit:[\"layers\"]});var Pi=function(t,e){Ei(this,t,1,e)};Pi.prototype.resize=function(t){Li(this,t,1)},Pi.prototype.clone=function(){return new Pi({width:this.width,height:this.height},new Uint8Array(this.data))},Pi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,1)};var Oi=function(t,e){Ei(this,t,4,e)};Oi.prototype.resize=function(t){Li(this,t,4)},Oi.prototype.replace=function(t,e){e?this.data.set(t):t instanceof Uint8ClampedArray?this.data=new Uint8Array(t.buffer):this.data=t},Oi.prototype.clone=function(){return new Oi({width:this.width,height:this.height},new Uint8Array(this.data))},Oi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,4)},dn(\"AlphaImage\",Pi),dn(\"RGBAImage\",Oi);var zi={paint:new Gn({\"heatmap-radius\":new Vn(Tt.paint_heatmap[\"heatmap-radius\"]),\"heatmap-weight\":new Vn(Tt.paint_heatmap[\"heatmap-weight\"]),\"heatmap-intensity\":new jn(Tt.paint_heatmap[\"heatmap-intensity\"]),\"heatmap-color\":new Hn(Tt.paint_heatmap[\"heatmap-color\"]),\"heatmap-opacity\":new jn(Tt.paint_heatmap[\"heatmap-opacity\"])})};function Ii(t,e){for(var r=new Uint8Array(1024),n={},a=0,i=0;a<256;a++,i+=4){n[e]=a/255;var o=t.evaluate(n);r[i+0]=Math.floor(255*o.r/o.a),r[i+1]=Math.floor(255*o.g/o.a),r[i+2]=Math.floor(255*o.b/o.a),r[i+3]=Math.floor(255*o.a)}return new 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},So.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,a=0,i=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(a+=t.readSVarint())<o&&(o=a),a>s&&(s=a),(i+=t.readSVarint())<l&&(l=i),i>c&&(c=i);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},So.prototype.toGeoJSON=function(t,e,r){var n,a,i=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=So.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/i;t[e]=[360*(r.x+o)/i-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=Lo(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Co=Po;function Po(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Oo,this,e),this.length=this._features.length}function Oo(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function zo(t,e,r){if(3===t){var n=new Co(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Po.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ao(this._pbf,e,this.extent,this._keys,this._values)};var Io={VectorTile:function(t,e){this.layers=t.readFields(zo,{},e)},VectorTileFeature:Ao,VectorTileLayer:Co},Do=Io.VectorTileFeature.types,Ro=Math.pow(2,13);function Fo(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ro)+o,a*Ro*2,i*Ro*2,Math.round(s))}var Bo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ta,this.indexArray=new da,this.programConfigurations=new Qa(Mo,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function No(t,e){return t.x===e.x&&(t.x<0||t.x>ei)||t.y===e.y&&(t.y<0||t.y>ei)}function jo(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>ei})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>ei})}Bo.prototype.populate=function(t,e){this.features=[],this.hasPattern=xo(\"fill-extrusion\",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var a=n[r],i=a.feature,o=a.index,s=a.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),i)){var l=ni(i),c={sourceLayerIndex:s,index:o,geometry:l,properties:i.properties,type:i.type,patterns:{}};void 0!==i.id&&(c.id=i.id),this.hasPattern?this.features.push(bo(\"fill-extrusion\",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(i,l,o,s,this.index,!0)}}},Bo.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var a=n[r],i=a.geometry;this.addFeature(a,i,a.index,e)}},Bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Mo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Bo.prototype.addFeature=function(t,e,r,n){for(var a=0,i=mo(e,500);a<i.length;a+=1){for(var o=i[a],s=0,l=0,c=o;l<c.length;l+=1)s+=c[l].length;for(var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,f=o;h<f.length;h+=1){var p=f[h];if(0!==p.length&&!jo(p))for(var d=0,g=0;g<p.length;g++){var v=p[g];if(g>=1){var m=p[g-1];if(!No(v,m)){u.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var y=v.sub(m)._perp()._unit(),x=m.dist(v);d+x>32768&&(d=0),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,1,d),d+=x,Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,1,d);var b=u.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),u.vertexLength+=4,u.primitiveLength+=2}}}}if(u.vertexLength+s>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(s,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Do[t.type]){for(var _=[],w=[],k=u.vertexLength,T=0,M=o;T<M.length;T+=1){var A=M[T];if(0!==A.length){A!==o[0]&&w.push(_.length/2);for(var S=0;S<A.length;S++){var E=A[S];Fo(this.layoutVertexArray,E.x,E.y,0,0,1,1,0),_.push(E.x),_.push(E.y)}}}for(var L=Ni(_,w),C=0;C<L.length;C+=3)this.indexArray.emplaceBack(k+L[C],k+L[C+2],k+L[C+1]);u.primitiveLength+=L.length/3,u.vertexLength+=s}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,n)},dn(\"FillExtrusionBucket\",Bo,{omit:[\"layers\",\"features\"]});var Vo={paint:new Gn({\"fill-extrusion-opacity\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Un(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Uo=function(t){function e(e){t.call(this,e,Vo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Bo(t)},e.prototype.queryRadius=function(){return yi(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=xi(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];Ti(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,v=t;g<v.length;g+=1){for(var m=[],y=[],x=0,b=v[g];x<b.length;x+=1){var _=b[x],w=_.x,k=_.y,T=n[0]*w+n[4]*k+n[12],M=n[1]*w+n[5]*k+n[13],A=n[2]*w+n[6]*k+n[14],S=n[3]*w+n[7]*k+n[15],E=A+c,L=S+u,C=T+h,P=M+f,O=A+p,z=S+d,I=new a((T+s)/L,(M+l)/L);I.z=E/L,m.push(I);var D=new a(C/z,P/z);D.z=O/z,y.push(D)}i.push(m),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;li(r,e)&&(n=Ho(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=i[s+1],u=o[s],h=[l,c,o[s+1],u,l];oi(r,h)&&(n=Math.min(n,Ho(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}(Yn);function qo(t,e){return t.x*e.x+t.y*e.y}function Ho(t,e){if(1===t.length){var r=e[0],n=e[1],a=e[3],i=t[0],o=n.sub(r),s=a.sub(r),l=i.sub(r),c=qo(o,o),u=qo(o,s),h=qo(s,s),f=qo(l,o),p=qo(l,s),d=c*h-u*u,g=(h*f-u*p)/d,v=(c*p-u*f)/d,m=1-g-v;return r.z*m+n.z*g+a.z*v}for(var y=1/0,x=0,b=e;x<b.length;x+=1){var _=b[x];y=Math.min(y,_.z)}return y}var Go=Jn([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Yo=Io.VectorTileFeature.types,Wo=Math.cos(Math.PI/180*37.5),Xo=Math.pow(2,14)/.5,Zo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ea,this.indexArray=new da,this.programConfigurations=new Qa(Go,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};Zo.prototype.populate=function(t,e){this.hasPattern=xo(\"line\",this.layers,e);for(var r=this.layers[0].layout.get(\"line-sort-key\"),n=[],a=0,i=t;a<i.length;a+=1){var o=i[a],s=o.feature,l=o.index,c=o.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),s)){var u=ni(s),h=r?r.evaluate(s,{}):void 0,f={id:s.id,properties:s.properties,type:s.type,sourceLayerIndex:c,index:l,geometry:u,patterns:{},sortKey:h};n.push(f)}}r&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var p=0,d=n;p<d.length;p+=1){var g=d[p],v=g,m=v.geometry,y=v.index,x=v.sourceLayerIndex;if(this.hasPattern){var b=bo(\"line\",this.layers,g,this.zoom,e);this.patternFeatures.push(b)}else this.addFeature(g,m,y,{});var _=t[y].feature;e.featureIndex.insert(_,m,y,x,this.index)}},Zo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Zo.prototype.addFeatures=function(t,e){for(var r=0,n=this.patternFeatures;r<n.length;r+=1){var a=n[r];this.addFeature(a,a.geometry,a.index,e)}},Zo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Zo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Zo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Go),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Zo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Zo.prototype.addFeature=function(t,e,r,n){for(var a=this.layers[0].layout,i=a.get(\"line-join\").evaluate(t,{}),o=a.get(\"line-cap\"),s=a.get(\"line-miter-limit\"),l=a.get(\"line-round-limit\"),c=0,u=e;c<u.length;c+=1){var h=u[c];this.addLine(h,t,i,o,s,l,r,n)}},Zo.prototype.addLine=function(t,e,r,n,a,i,o,s){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var l=0;l<t.length-1;l++)this.totalDistance+=t[l].dist(t[l+1])}for(var c=\"Polygon\"===Yo[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var h=0;h<u-1&&t[h].equals(t[h+1]);)h++;if(!(u<(c?3:2))){\"bevel\"===r&&(a=1.05);var f,p=ei/(512*this.overscaling)*15,d=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray),g=void 0,v=void 0,m=void 0,y=void 0;this.e1=this.e2=-1,c&&(f=t[u-2],y=t[h].sub(f)._unit()._perp());for(var x=h;x<u;x++)if(!(v=c&&x===u-1?t[h+1]:t[x+1])||!t[x].equals(v)){y&&(m=y),f&&(g=f),f=t[x],y=v?v.sub(f)._unit()._perp():m;var b=(m=m||y).add(y);0===b.x&&0===b.y||b._unit();var _=m.x*y.x+m.y*y.y,w=b.x*y.x+b.y*y.y,k=0!==w?1/w:1/0,T=2*Math.sqrt(2-2*w),M=w<Wo&&g&&v,A=m.x*y.y-m.y*y.x>0;if(M&&x>h){var S=f.dist(g);if(S>2*p){var E=f.sub(f.sub(g)._mult(p/S)._round());this.updateDistance(g,E),this.addCurrentVertex(E,m,0,0,d),g=E}}var L=g&&v,C=L?r:c?\"butt\":n;if(L&&\"round\"===C&&(k<i?C=\"miter\":k<=2&&(C=\"fakeround\")),\"miter\"===C&&k>a&&(C=\"bevel\"),\"bevel\"===C&&(k>2&&(C=\"flipbevel\"),k<a&&(C=\"miter\")),g&&this.updateDistance(g,f),\"miter\"===C)b._mult(k),this.addCurrentVertex(f,b,0,0,d);else if(\"flipbevel\"===C){if(k>100)b=y.mult(-1);else{var P=k*m.add(y).mag()/m.sub(y).mag();b._perp()._mult(P*(A?-1:1))}this.addCurrentVertex(f,b,0,0,d),this.addCurrentVertex(f,b.mult(-1),0,0,d)}else if(\"bevel\"===C||\"fakeround\"===C){var O=-Math.sqrt(k*k-1),z=A?O:0,I=A?0:O;if(g&&this.addCurrentVertex(f,m,z,I,d),\"fakeround\"===C)for(var D=Math.round(180*T/Math.PI/20),R=1;R<D;R++){var F=R/D;if(.5!==F){var B=F-.5;F+=F*B*(F-1)*((1.0904+_*(_*(3.55645-1.43519*_)-3.2452))*B*B+(.848013+_*(.215638*_-1.06021)))}var N=y.sub(m)._mult(F)._add(m)._unit()._mult(A?-1:1);this.addHalfVertex(f,N.x,N.y,!1,A,0,d)}v&&this.addCurrentVertex(f,y,-z,-I,d)}else if(\"butt\"===C)this.addCurrentVertex(f,b,0,0,d);else if(\"square\"===C){var j=g?1:-1;this.addCurrentVertex(f,b,j,j,d)}else\"round\"===C&&(g&&(this.addCurrentVertex(f,m,0,0,d),this.addCurrentVertex(f,m,1,1,d,!0)),v&&(this.addCurrentVertex(f,y,-1,-1,d,!0),this.addCurrentVertex(f,y,0,0,d)));if(M&&x<u-1){var V=f.dist(v);if(V>2*p){var U=f.add(v.sub(f)._mult(p/V)._round());this.updateDistance(f,U),this.addCurrentVertex(U,y,0,0,d),f=U}}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e,o,s)}},Zo.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,i,!1,r,a),this.addHalfVertex(t,l,c,i,!0,-n,a),this.distance>Xo/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Zo.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),a?this.e2=u:this.e1=u},Zo.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Xo-1):this.distance},dn(\"LineBucket\",Zo,{omit:[\"layers\",\"patternFeatures\"]});var Jo=new Gn({\"line-cap\":new jn(Tt.layout_line[\"line-cap\"]),\"line-join\":new Vn(Tt.layout_line[\"line-join\"]),\"line-miter-limit\":new jn(Tt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new jn(Tt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Vn(Tt.layout_line[\"line-sort-key\"])}),Ko={paint:new Gn({\"line-opacity\":new Vn(Tt.paint_line[\"line-opacity\"]),\"line-color\":new Vn(Tt.paint_line[\"line-color\"]),\"line-translate\":new jn(Tt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new jn(Tt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Vn(Tt.paint_line[\"line-width\"]),\"line-gap-width\":new Vn(Tt.paint_line[\"line-gap-width\"]),\"line-offset\":new Vn(Tt.paint_line[\"line-offset\"]),\"line-blur\":new Vn(Tt.paint_line[\"line-blur\"]),\"line-dasharray\":new qn(Tt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Un(Tt.paint_line[\"line-pattern\"]),\"line-gradient\":new Hn(Tt.paint_line[\"line-gradient\"])}),layout:Jo},Qo=new(function(t){function e(){t.apply(this,arguments)}return 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t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Ii(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values[\"line-floorwidth\"]=Qo.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new Zo(t)},e.prototype.queryRadius=function(t){var e=t,r=ts(mi(\"line-width\",this,e),mi(\"line-gap-width\",this,e)),n=mi(\"line-offset\",this,e);return r/2+Math.abs(n)+yi(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=xi(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*ts(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],h=o[l+1],f=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:h.sub(u)._unit()._perp(),d=f._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var a=e[n];if(t.length>=3)for(var i=0;i<a.length;i++)if(gi(t,a[i]))return!0;if(ci(t,a,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Yn);function ts(t,e){return e>0?e+2*t:t}var 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os(t,e,r){return t.sections.forEach(function(t){t.text=function(t,e,r){var 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hs(t,e,r,n,a,i,o,s,l,c,u){var h,f=us.fromFeature(t,r);c===cs.vertical&&f.verticalizePunctuation();var p=Cn.processBidirectionalText,d=Cn.processStyledBidirectionalText;if(p&&1===f.sections.length){h=[];for(var g=0,v=p(f.toString(),ms(f,s,n,e));g<v.length;g+=1){var m=v[g],y=new us;y.text=m,y.sections=f.sections;for(var x=0;x<m.length;x++)y.sectionIndex.push(0);h.push(y)}}else if(d){h=[];for(var b=0,_=d(f.text,f.sectionIndex,ms(f,s,n,e));b<_.length;b+=1){var w=_[b],k=new us;k.text=w[0],k.sectionIndex=w[1],k.sections=f.sections,h.push(k)}}else h=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(f,ms(f,s,n,e));var T=[],M={positionedGlyphs:T,text:f.toString(),top:l[1],bottom:l[1],left:l[0],right:l[0],writingMode:c,lineCount:h.length,yOffset:-17};return function(t,e,r,n,a,i,o,s,l){for(var c=0,u=t.yOffset,h=0,f=t.positionedGlyphs,p=\"right\"===i?1:\"left\"===i?0:.5,d=0,g=r;d<g.length;d+=1){var v=g[d];v.trim();var m=v.getMaxScale();if(v.length()){for(var y=f.length,x=0;x<v.length();x++){var b=v.getSection(x),_=v.getSectionIndex(x),w=v.getCharCode(x),k=24*(m-b.scale),T=e[b.fontStack],M=T&&T[w];M&&(o===cs.horizontal||!l&&!wn(w)||l&&(fs[w]||(S=w,xn.Arabic(S)||xn[\"Arabic Supplement\"](S)||xn[\"Arabic Extended-A\"](S)||xn[\"Arabic Presentation Forms-A\"](S)||xn[\"Arabic Presentation Forms-B\"](S)))?(f.push({glyph:w,x:c,y:u+k,vertical:!1,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=M.metrics.advance*b.scale+s):(f.push({glyph:w,x:c,y:u+k,vertical:!0,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=ls*b.scale+s))}if(f.length!==y){var A=c-s;h=Math.max(A,h),xs(f,e,y,f.length-1,p)}c=0,u+=n*m}else u+=n}var S,E=ys(a),L=E.horizontalAlign,C=E.verticalAlign;!function(t,e,r,n,a,i,o){for(var s=(e-r)*a,l=(-n*o+.5)*i,c=0;c<t.length;c++)t[c].x+=s,t[c].y+=l}(f,p,L,C,h,n,r.length);var P=u-t.yOffset;t.top+=-C*P,t.bottom=t.top+P,t.left+=-L*h,t.right=t.left+h}(M,e,h,a,i,o,c,s,u),!!T.length&&M}us.fromFeature=function(t,e){for(var r=new us,n=0;n<t.sections.length;n++){var a=t.sections[n];r.sections.push({scale:a.scale||1,fontStack:a.fontStack||e}),r.text+=a.text;for(var i=0;i<a.text.length;i++)r.sectionIndex.push(n)}return r},us.prototype.length=function(){return this.text.length},us.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},us.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},us.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},us.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;n&&kn(n)&&!ss[t[r+1]]||a&&kn(a)&&!ss[t[r-1]]||!ss[t[r]]?e+=t[r]:e+=ss[t[r]]}return 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s=n[i],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:a}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new Pn(s)),maxSize:r.evaluate(new Pn(l)),interpolationType:a}}function ks(t,e,r){var n=e.uSize,a=e.uSizeT,i=r.lowerSize,o=r.upperSize;return\"source\"===t.kind?i/_s:\"composite\"===t.kind?ye(i/_s,o/_s,a):n}function Ts(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var a=t.interpolationType,i=t.minZoom,o=t.maxZoom,s=a?c(Ne.interpolationFactor(a,e,i,o),0,1):0;\"camera\"===t.kind?n=ye(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Ms=Object.freeze({getSizeData:ws,evaluateSizeForFeature:ks,evaluateSizeForZoom:Ts,SIZE_PACK_FACTOR:_s}),As=Io.VectorTileFeature.types,Ss=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Es(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*a),i,o,s?s[0]:0,s?s[1]:0)}function Ls(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}var Cs=function(t){this.layoutVertexArray=new na,this.indexArray=new da,this.programConfigurations=t,this.segments=new Oa,this.dynamicLayoutVertexArray=new aa,this.opacityVertexArray=new ia,this.placedSymbolArray=new wa};Cs.prototype.upload=function(t,e,r,n){r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,es.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Ss,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t)},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},dn(\"SymbolBuffers\",Cs);var Ps=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Oa,this.collisionVertexArray=new la};Ps.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,ns.members,!0)},Ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},dn(\"CollisionBuffers\",Ps);var Os=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasPaintOverrides=!1;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=ws(this.zoom,e[\"text-size\"]),this.iconSizeData=ws(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1);var i=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=i&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map(function(t){return cs[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};Os.prototype.createArrays=function(){var t=this.layers[0].layout;this.hasPaintOverrides=Rs.hasPaintOverrides(t),this.text=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Ps(sa,as.members,ga),this.collisionCircle=new Ps(sa,is.members,da),this.glyphOffsetArray=new Aa,this.lineVertexArray=new Ea,this.symbolInstances=new Ta},Os.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=ss[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},Os.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,a=n.get(\"text-font\"),i=n.get(\"text-field\"),o=n.get(\"icon-image\"),s=(\"constant\"!==i.value.kind||i.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),l=\"constant\"!==o.value.kind||o.value.value&&o.value.value.length>0,c=n.get(\"symbol-sort-key\");if(this.features=[],s||l){for(var u=e.iconDependencies,h=e.glyphDependencies,f=new Pn(this.zoom),p=0,d=t;p<d.length;p+=1){var g=d[p],v=g.feature,m=g.index,y=g.sourceLayerIndex;if(r._featureFilter(f,v)){var x=void 0;if(s){var b=r.getValueAndResolveTokens(\"text-field\",v);x=os(b instanceof Jt?b:Jt.fromString(b),r,v)}var _=void 0;if(l&&(_=r.getValueAndResolveTokens(\"icon-image\",v)),x||_){var w=this.sortFeaturesByKey?c.evaluate(v,{}):void 0,k={text:x,icon:_,index:m,sourceLayerIndex:y,geometry:ni(v),properties:v.properties,type:As[v.type],sortKey:w};if(void 0!==v.id&&(k.id=v.id),this.features.push(k),_&&(u[_]=!0),x){var T=a.evaluate(v,{}).join(\",\"),M=\"map\"===n.get(\"text-rotation-alignment\")&&\"point\"!==n.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(cs.vertical)>=0;for(var A=0,S=x.sections;A<S.length;A+=1){var E=S[A],L=bn(x.toString()),C=E.fontStack||T,P=h[C]=h[C]||{};this.calculateGlyphDependencies(E.text,P,M,this.allowVerticalPlacement,L)}}}}}\"line\"===n.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),v=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[v].geometry,!0)]=v,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Os.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.collisionBox.upload(t),this.collisionCircle.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Os.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Os.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Os.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c){var u=this,h=t.indexArray,f=t.layoutVertexArray,p=t.dynamicLayoutVertexArray,d=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray,i.sortKey),g=this.glyphOffsetArray.length,v=d.vertexLength,m=this.allowVerticalPlacement&&o===cs.vertical?Math.PI/2:0,y=function(t){var e=t.tl,n=t.tr,a=t.bl,i=t.br,o=t.tex,l=d.vertexLength,c=t.glyphOffset[1];Es(f,s.x,s.y,e.x,c+e.y,o.x,o.y,r),Es(f,s.x,s.y,n.x,c+n.y,o.x+o.w,o.y,r),Es(f,s.x,s.y,a.x,c+a.y,o.x,o.y+o.h,r),Es(f,s.x,s.y,i.x,c+i.y,o.x+o.w,o.y+o.h,r),Ls(p,s,m),h.emplaceBack(l,l+1,l+2),h.emplaceBack(l+1,l+2,l+3),d.vertexLength+=4,d.primitiveLength+=2,u.glyphOffsetArray.emplaceBack(t.glyphOffset[0])};if(i.text&&i.text.sections){var x=i.text.sections;if(this.hasPaintOverrides){for(var b,_=function(e,r){void 0===b||b===e&&!r||t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[b]),b=e},w=0,k=e;w<k.length;w+=1){var T=k[w];_(T.sectionIndex,!1),y(T)}_(b,!0)}else{for(var M=0,A=e;M<A.length;M+=1)y(A[M]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[0])}}else{for(var S=0,E=e;S<E.length;S+=1)y(E[S]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{})}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,v,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0)},Os.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},Os.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s,l){var c=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=c.vertexLength,h=i.layoutVertexArray,f=i.collisionVertexArray,p=s.anchorX,d=s.anchorY;if(this._addCollisionDebugVertex(h,f,o,p,d,new a(t,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,n)),this._addCollisionDebugVertex(h,f,o,p,d,new a(t,n)),c.vertexLength+=4,l){var g=i.indexArray;g.emplaceBack(u,u+1,u+2),g.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var v=i.indexArray;v.emplaceBack(u,u+1),v.emplaceBack(u+1,u+2),v.emplaceBack(u+2,u+3),v.emplaceBack(u+3,u),c.primitiveLength+=4}},Os.prototype.addDebugCollisionBoxes=function(t,e,r){for(var n=t;n<e;n++){var a=this.collisionBoxArray.get(n),i=a.x1,o=a.y1,s=a.x2,l=a.y2,c=a.radius>0;this.addCollisionDebugVertices(i,o,s,l,c?this.collisionCircle:this.collisionBox,a.anchorPoint,r,c)}},Os.prototype.generateCollisionDebugBuffers=function(){for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e)}},Os.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o){for(var s={},l=e;l<r;l++){var c=t.get(l);if(0===c.radius){s.textBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},s.textFeatureIndex=c.featureIndex;break}s.textCircles||(s.textCircles=[],s.textFeatureIndex=c.featureIndex),s.textCircles.push(c.anchorPointX,c.anchorPointY,c.radius,c.signedDistanceFromAnchor,1)}for(var u=n;u<a;u++){var h=t.get(u);if(0===h.radius){s.verticalTextBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},s.verticalTextFeatureIndex=h.featureIndex;break}}for(var f=i;f<o;f++){var p=t.get(f);if(0===p.radius){s.iconBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},s.iconFeatureIndex=p.featureIndex;break}}return s},Os.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex))}},Os.prototype.hasTextData=function(){return this.text.segments.get().length>0},Os.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Os.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Os.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Os.prototype.addIndicesForPlacedTextSymbol=function(t){for(var e=this.text.placedSymbolArray.get(t),r=e.vertexStartIndex+4*e.numGlyphs,n=e.vertexStartIndex;n<r;n+=4)this.text.indexArray.emplaceBack(n,n+1,n+2),this.text.indexArray.emplaceBack(n+1,n+2,n+3)},Os.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort(function(t,e){return n[t]-n[e]||a[e]-a[t]}),i},Os.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=n[r],i=this.symbolInstances.get(a);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedTextSymbol(t)}),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedTextSymbol(i.verticalPlacedTextSymbolIndex);var o=this.icon.placedSymbolArray.get(a);if(o.numGlyphs){var s=o.vertexStartIndex;this.icon.indexArray.emplaceBack(s,s+1,s+2),this.icon.indexArray.emplaceBack(s+1,s+2,s+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},dn(\"SymbolBucket\",Os,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Os.MAX_GLYPHS=65535,Os.addDynamicAttributes=Ls;var zs=new Gn({\"symbol-placement\":new jn(Tt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new jn(Tt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new jn(Tt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Vn(Tt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new jn(Tt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new jn(Tt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new jn(Tt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new jn(Tt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new jn(Tt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Vn(Tt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new jn(Tt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new jn(Tt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Vn(Tt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Vn(Tt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new jn(Tt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new jn(Tt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Vn(Tt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Vn(Tt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new jn(Tt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new jn(Tt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new jn(Tt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Vn(Tt.layout_symbol[\"text-field\"]),\"text-font\":new Vn(Tt.layout_symbol[\"text-font\"]),\"text-size\":new Vn(Tt.layout_symbol[\"text-size\"]),\"text-max-width\":new Vn(Tt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new jn(Tt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Vn(Tt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Vn(Tt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Vn(Tt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new jn(Tt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Vn(Tt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new jn(Tt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new jn(Tt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Vn(Tt.layout_symbol[\"text-rotate\"]),\"text-padding\":new jn(Tt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new jn(Tt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Vn(Tt.layout_symbol[\"text-transform\"]),\"text-offset\":new Vn(Tt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new jn(Tt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new jn(Tt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new jn(Tt.layout_symbol[\"text-optional\"])}),Is={paint:new Gn({\"icon-opacity\":new Vn(Tt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Vn(Tt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Vn(Tt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Vn(Tt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Vn(Tt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new jn(Tt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new jn(Tt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Vn(Tt.paint_symbol[\"text-opacity\"]),\"text-color\":new Vn(Tt.paint_symbol[\"text-color\"],{runtimeType:Ft,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Vn(Tt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Vn(Tt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Vn(Tt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new jn(Tt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new jn(Tt.paint_symbol[\"text-translate-anchor\"])}),layout:zs},Ds=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:zt,this.defaultValue=t};Ds.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Ds.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Ds.prototype.possibleOutputs=function(){return[void 0]},Ds.prototype.serialize=function(){return null},dn(\"FormatSectionOverride\",Ds,{omit:[\"defaultValue\"]});var Rs=function(t){function e(e){t.call(this,e,Is)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){if(t.prototype.recalculate.call(this,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var r=this.layout.get(\"text-writing-mode\");if(r){for(var n=[],a=0,i=r;a<i.length;a+=1){var o=i[a];n.indexOf(o)<0&&n.push(o)}this.layout._values[\"text-writing-mode\"]=n}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e){var r=this.layout.get(t).evaluate(e,{}),n=this._unevaluatedLayout._values[t];return n.isDataDriven()||wr(n.value)?r:function(t,e){return r.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):\"\"})}(e.properties)},e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Is.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new Ds(i),s=new _r(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Tr(\"source\",s):new Mr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new Bn(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Is.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1){var i=r[e];if(n.overrides&&n.overrides.hasOverride(i))return void(a=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof Jt)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!a)if(t instanceof te&&Qt(t.value)===Vt){var e=t.value;i(e.sections)}else t instanceof ae?i(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e.hasPaintOverrides=function(t){for(var r=0,n=Is.paint.overridableProperties;r<n.length;r+=1){var a=n[r];if(e.hasPaintOverride(t,a))return!0}return!1},e}(Yn),Fs={paint:new Gn({\"background-color\":new jn(Tt.paint_background[\"background-color\"]),\"background-pattern\":new qn(Tt.paint_background[\"background-pattern\"]),\"background-opacity\":new jn(Tt.paint_background[\"background-opacity\"])})},Bs=function(t){function e(e){t.call(this,e,Fs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Ns={paint:new Gn({\"raster-opacity\":new jn(Tt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new jn(Tt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new jn(Tt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new jn(Tt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new jn(Tt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new jn(Tt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new jn(Tt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new jn(Tt.paint_raster[\"raster-fade-duration\"])})},js=function(t){function e(e){t.call(this,e,Ns)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Vs=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yn),Us={circle:Mi,heatmap:Di,hillshade:Fi,fill:To,\"fill-extrusion\":Uo,line:$o,symbol:Rs,background:Bs,raster:js};function qs(t){for(var e=0,r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];e+=i.w*i.h,r=Math.max(r,i.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var Hs=function(t,e){var r=e.pixelRatio,n=e.version;this.paddedRect=t,this.pixelRatio=r,this.version=n},Gs={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Gs.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},Gs.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},Gs.tlbr.get=function(){return this.tl.concat(this.br)},Gs.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(Hs.prototype,Gs);var Ys=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=qs(a),o=i.w,s=i.h,l=new Oi({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Oi.copy(u.data,l,{x:0,y:0},{x:h.x+1,y:h.y+1},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,g=d.x+1,v=d.y+1,m=p.data.width,y=p.data.height;Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v},p.data),Oi.copy(p.data,l,{x:0,y:y-1},{x:g,y:v-1},{width:m,height:1}),Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v+y},{width:m,height:1}),Oi.copy(p.data,l,{x:m-1,y:0},{x:g-1,y:v},{width:1,height:y}),Oi.copy(p.data,l,{x:0,y:0},{x:g+m,y:v},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ys.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new Hs(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ys.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ys.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,a=n[0],i=n[1];r.update(e.data,void 0,{x:a,y:i})}},dn(\"ImagePosition\",Hs),dn(\"ImageAtlas\",Ys);var Ws=self.HTMLImageElement,Xs=self.HTMLCanvasElement,Zs=self.HTMLVideoElement,Js=self.ImageData,Ks=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ks.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ks.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ks.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ks.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Qs=function(t,e,r,n,a){var i,o,s=8*a-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?a-1:0,f=r?-1:1,p=t[e+h];for(h+=f,i=p&(1<<-u)-1,p>>=-u,u+=s;u>0;i=256*i+t[e+h],h+=f,u-=8);for(o=i&(1<<-u)-1,i>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===i)i=1-c;else{if(i===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),i-=c}return(p?-1:1)*o*Math.pow(2,i-n)},$s=function(t,e,r,n,a,i){var o,s,l,c=8*i-a-1,u=(1<<c)-1,h=u>>1,f=23===a?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:i-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,a),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,a),o=0));a>=8;t[r+p]=255&s,p+=d,s/=256,a-=8);for(o=o<<a|s,c+=a;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},tl=el;function el(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}function rl(t){return t.type===el.Bytes?t.readVarint()+t.pos:t.pos+1}function nl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function al(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var a=r.pos-1;a>=t;a--)r.buf[a+n]=r.buf[a]}function il(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function ol(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function sl(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function ll(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function cl(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function ul(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function fl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function pl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function dl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function gl(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function vl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}el.Varint=0,el.Fixed64=1,el.Bytes=2,el.Fixed32=5,el.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),a=n>>3,i=this.pos;this.type=7&n,t(a,e,this),this.pos===i&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=dl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=vl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*dl(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*vl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=Qs(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=Qs(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,a,i=r.buf;if(n=(112&(a=i[r.pos++]))>>4,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<3,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<10,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<17,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<24,a<128)return nl(t,n,e);if(n|=(1&(a=i[r.pos++]))<<31,a<128)return nl(t,n,e);throw new Error(\"Expected varint not more than 10 bytes\")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=function(t,e,r){for(var n=\"\",a=e;a<r;){var i,o,s,l=t[a],c=null,u=l>239?4:l>223?3:l>191?2:1;if(a+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(i=t[a+1]))&&(c=(31&l)<<6|63&i)<=127&&(c=null):3===u?(i=t[a+1],o=t[a+2],128==(192&i)&&128==(192&o)&&((c=(15&l)<<12|(63&i)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(i=t[a+1],o=t[a+2],s=t[a+3],128==(192&i)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&i)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),a+=u}return n}(this.buf,this.pos,t);return this.pos=t,e},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==el.Bytes)return t.push(this.readVarint(e));var r=rl(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==el.Bytes)return t.push(this.readSVarint());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==el.Bytes)return t.push(this.readBoolean());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==el.Bytes)return t.push(this.readFloat());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==el.Bytes)return t.push(this.readDouble());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===el.Varint)for(;this.buf[this.pos++]>127;);else if(e===el.Bytes)this.pos=this.readVarint()+this.pos;else if(e===el.Fixed32)this.pos+=4;else{if(e!==el.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&al(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),$s(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),$s(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&al(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,el.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,il,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,ol,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,cl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,sl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ll,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ul,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,pl,e)},writeBytesField:function(t,e){this.writeTag(t,el.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,el.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,el.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,el.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var ml=3;function yl(t,e,r){1===t&&r.readMessage(xl,e)}function xl(t,e,r){if(3===t){var n=r.readMessage(bl,{}),a=n.id,i=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:a,bitmap:new Pi({width:o+2*ml,height:s+2*ml},i),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function bl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var _l=ml,wl=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};wl.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){t._triggered=!1,t._callback()},0))};var kl=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new wl(this.process),this.target.addEventListener(\"message\",this.receive,!1)};function Tl(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}kl.prototype.send=function(t,e,r,n){var a=this,i=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[i]=r);var o=[];return this.target.postMessage({id:i,type:t,hasCallback:!!r,targetMapId:n,sourceMapId:this.mapId,data:vn(e,o)},o),{cancel:function(){r&&delete a.callbacks[i],a.target.postMessage({id:i,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},kl.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()},kl.prototype.process=function(){var t=this;if(this.taskQueue.length){var e=this.taskQueue.shift(),r=this.tasks[e];if(delete this.tasks[e],this.taskQueue.length&&this.invoker.trigger(),r)if(\"<response>\"===r.type){var n=this.callbacks[e];delete this.callbacks[e],n&&(r.error?n(mn(r.error)):n(null,mn(r.data)))}else{var a=!1,i=r.hasCallback?function(r,n){a=!0,delete t.cancelCallbacks[e];var i=[];t.target.postMessage({id:e,type:\"<response>\",sourceMapId:t.mapId,error:r?vn(r):null,data:vn(n,i)},i)}:function(t){a=!0},o=null,s=mn(r.data);if(this.parent[r.type])o=this.parent[r.type](r.sourceMapId,s,i);else if(this.parent.getWorkerSource){var l=r.type.split(\".\");o=this.parent.getWorkerSource(r.sourceMapId,l[0],s.source)[l[1]](s,i)}else i(new Error(\"Could not find function \"+r.type));!a&&o&&o.cancel&&(this.cancelCallbacks[e]=o.cancel)}}},kl.prototype.remove=function(){this.target.removeEventListener(\"message\",this.receive,!1)};var Ml=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Ml.prototype.setNorthEast=function(t){return this._ne=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.setSouthWest=function(t){return this._sw=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Al)e=t,r=t;else{if(!(t instanceof Ml))return Array.isArray(t)?t.every(Array.isArray)?this.extend(Ml.convert(t)):this.extend(Al.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Al(e.lng,e.lat),this._ne=new Al(r.lng,r.lat)),this},Ml.prototype.getCenter=function(){return new Al((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Ml.prototype.getSouthWest=function(){return this._sw},Ml.prototype.getNorthEast=function(){return this._ne},Ml.prototype.getNorthWest=function(){return new Al(this.getWest(),this.getNorth())},Ml.prototype.getSouthEast=function(){return new Al(this.getEast(),this.getSouth())},Ml.prototype.getWest=function(){return this._sw.lng},Ml.prototype.getSouth=function(){return this._sw.lat},Ml.prototype.getEast=function(){return this._ne.lng},Ml.prototype.getNorth=function(){return this._ne.lat},Ml.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Ml.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Ml.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Ml.convert=function(t){return!t||t instanceof Ml?t:new Ml(t)};var Al=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Al.prototype.wrap=function(){return new Al(u(this.lng,-180,180),this.lat)},Al.prototype.toArray=function(){return[this.lng,this.lat]},Al.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Al.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Ml(new Al(this.lng-r,this.lat-e),new Al(this.lng+r,this.lat+e))},Al.convert=function(t){if(t instanceof Al)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Al(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Al(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Sl=2*Math.PI*6378137;function El(t){return Sl*Math.cos(t*Math.PI/180)}function Ll(t){return(180+t)/360}function Cl(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Pl(t,e){return t/El(e)}function Ol(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var zl=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};zl.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Al.convert(t);return new zl(Ll(r.lng),Cl(r.lat),Pl(e,r.lat))},zl.prototype.toLngLat=function(){return new Al(360*this.x-180,Ol(this.y))},zl.prototype.toAltitude=function(){return this.z*El(Ol(this.y))},zl.prototype.meterInMercatorCoordinateUnits=function(){return 1/Sl*(t=Ol(this.y),1/Math.cos(t*Math.PI/180));var t};var Il=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Fl(0,t,e,r)};Il.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Il.prototype.url=function(t,e){var r,n,a,i,o,s=(r=this.x,n=this.y,a=this.z,i=Tl(256*r,256*(n=Math.pow(2,a)-n-1),a),o=Tl(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Il.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*ei,(t.y*e-this.y)*ei)};var Dl=function(t,e){this.wrap=t,this.canonical=e,this.key=Fl(t,e.z,e.x,e.y)},Rl=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new Il(r,+n,+a),this.key=Fl(e,t,n,a)};function Fl(t,e,r,n){(t*=2)<0&&(t=-1*t-1);var a=1<<e;return 32*(a*a*t+a*n+r)+e}Rl.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Rl.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Rl(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Rl(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Rl.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Rl.prototype.children=function(t){if(this.overscaledZ>=t)return[new Rl(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Rl(e,this.wrap,e,r,n),new Rl(e,this.wrap,e,r+1,n),new Rl(e,this.wrap,e,r,n+1),new Rl(e,this.wrap,e,r+1,n+1)]},Rl.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Rl.prototype.wrapped=function(){return new Rl(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.unwrapTo=function(t){return new Rl(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Rl.prototype.toUnwrapped=function(){return new Dl(this.wrap,this.canonical)},Rl.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Rl.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new zl(t.x-this.wrap,t.y))},dn(\"CanonicalTileID\",Il),dn(\"OverscaledTileID\",Rl,{omit:[\"posMatrix\"]});var Bl=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');var n=this.dim=e.height;this.stride=this.dim+2,this.data=new Int32Array(this.stride*this.stride);for(var a=e.data,i=\"terrarium\"===r?this._unpackTerrarium:this._unpackMapbox,o=0;o<n;o++)for(var s=0;s<n;s++){var l=4*(o*n+s);this.set(s,o,i(a[l],a[l+1],a[l+2]))}for(var c=0;c<n;c++)this.set(-1,c,this.get(0,c)),this.set(n,c,this.get(n-1,c)),this.set(c,-1,this.get(c,0)),this.set(c,n,this.get(c,n-1));this.set(-1,-1,this.get(0,0)),this.set(n,-1,this.get(n-1,0)),this.set(-1,n,this.get(0,n-1)),this.set(n,n,this.get(n-1,n-1))};Bl.prototype.set=function(t,e,r){this.data[this._idx(t,e)]=r+65536},Bl.prototype.get=function(t,e){return this.data[this._idx(t,e)]-65536},Bl.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Bl.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Bl.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Bl.prototype.getPixels=function(){return new Oi({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Bl.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.set(u,c,t.get(u+s,c+l))},dn(\"DEMData\",Bl);var Nl=Jn([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),jl=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};jl.prototype.encode=function(t){return this._stringToNumber[t]},jl.prototype.decode=function(t){return this._numberToString[t]};var Vl=function(t,e,r,n){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,null!=t.id&&(this.id=t.id)},Ul={geometry:{configurable:!0}};Ul.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Ul.geometry.set=function(t){this._geometry=t},Vl.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Vl.prototype,Ul);var ql=function(){this.state={},this.stateChanges={},this.deletedStates={}};ql.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},h(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},ql.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e&&e>=0)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e&&e>=0)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},ql.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},a=this.stateChanges[t]||{},i=h({},n[r],a[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete i[s]}return i},ql.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},ql.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),h(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,f=Object.keys(this.deletedStates[o][c]);u<f.length;u+=1){var p=f[u];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},h(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Hl=function(t,e,r){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=e||new cn(ei,16,0),this.grid3D=new cn(ei,16,0),this.featureIndexArray=r||new Ca};function Gl(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Yl(t,e){return e-t}Hl.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<ei&&u[1]<ei&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Hl.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Io.VectorTile(new tl(this.rawTileData)).layers,this.sourceLayerCoder=new jl(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Hl.prototype.query=function(t,e,r){var n=this;this.loadVTLayers();for(var i=t.params||{},o=ei/t.tileSize/t.scale,s=Rr(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=Gl(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=Gl(t.cameraQueryGeometry),p=0,d=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(gi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(vi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});p<d.length;p+=1){var g=d[p];h.push(g)}h.sort(Yl);for(var v,m={},y=function(a){var c=h[a];if(c!==v){v=c;var u=n.featureIndexArray.get(c),f=null;n.loadMatchingFeature(m,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,e,function(e,a){f||(f=ni(e));var i={};return e.id&&(i=r.getState(a.sourceLayer||\"_geojsonTileLayer\",e.id)),a.queryIntersectsFeature(l,e,i,f,n.z,t.transform,o,t.pixelPosMatrix)})}},x=0;x<h.length;x++)y(x);return m},Hl.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s){var l=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,l)){var c=this.sourceLayerCoder.decode(r),u=this.vtLayers[c].feature(n);if(a(new Pn(this.tileID.overscaledZ),u))for(var h=0;h<l.length;h++){var f=l[h];if(!(i&&i.indexOf(f)<0)){var p=o[f];if(p){var d=!s||s(u,p);if(d){var g=new Vl(u,this.z,this.x,this.y);g.layer=p.serialize();var v=t[f];void 0===v&&(v=t[f]=[]),v.push({featureIndex:n,feature:g,intersectionZ:d})}}}}}},Hl.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i){var o={};this.loadVTLayers();for(var s=Rr(n),l=0,c=t;l<c.length;l+=1){var u=c[l];this.loadMatchingFeature(o,e,r,u,s,a,i)}return o},Hl.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},dn(\"FeatureIndex\",Hl,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Wl=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.expiredRequestCount=0,this.state=\"loading\"};function Xl(t,e,r,n,a){if(void 0===e.segment)return!0;for(var i=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(i),i=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var p=u.angleTo(h)-h.angleTo(f);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>a)return!1;o++,s+=h.dist(f)}return!0}function Zl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Jl(t,e,r){return t?.6*e*r:0}function Kl(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Ql(t,e,r,n,a,i){for(var o=Jl(r,a,i),s=Kl(r,n)*i,l=0,c=Zl(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=ye(h.x,f.x,d),v=ye(h.y,f.y,d),m=new bs(g,v,f.angleTo(h),u);return m._round(),!o||Xl(t,m,s,o,e)?m:void 0}l+=p}}function $l(t,e,r,n,a,i,o,s,l){var c=Jl(n,i,o),u=Kl(n,a),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),function t(e,r,n,a,i,o,s,l,c){for(var u=o/2,h=Zl(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var v=e[g],m=e[g+1],y=v.dist(m),x=m.angleTo(v);p+n<f+y;){var b=((p+=n)-f)/y,_=ye(v.x,m.x,b),w=ye(v.y,m.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var k=new bs(_,w,x,g);k._round(),a&&!Xl(e,k,o,a,i)||d.push(k)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,a,i,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*i)*o*s%e,e,c,r,h,f,!1,l)}Wl.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<I.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Wl.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Wl.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map(function(t){return n.filter(function(e){return e.id===t})[0]}));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof Os){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}for(var i in this.queryPadding=0,this.buckets){var o=this.buckets[i];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(i).queryRadius(o))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new ba},Wl.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Wl.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state=\"unloaded\"},Wl.prototype.getBucket=function(t){return this.buckets[t.id]},Wl.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ks(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ks(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Wl.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Wl.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:n,scale:a,tileSize:this.tileSize,pixelPosMatrix:l,transform:o,params:i,queryPadding:this.queryPadding*s},t,e):{}},Wl.prototype.querySourceFeatures=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var r=this.latestFeatureIndex.loadVTLayers(),n=e?e.sourceLayer:\"\",a=r._geojsonTileLayer||r[n];if(a)for(var i=Rr(e&&e.filter),o=this.tileID.canonical,s=o.z,l=o.x,c=o.y,u={z:s,x:l,y:c},h=0;h<a.length;h++){var f=a.feature(h);if(i(new Pn(this.tileID.overscaledZ),f)){var p=new Vl(f,s,l,c);p.tile=u,t.push(p)}}}},Wl.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},Wl.prototype.setMask=function(t,e){if(!o(this.mask,t)&&(this.mask=t,this.clearMask(),!o(t,{0:!0}))){var r=new $n,n=new da;this.segments=new Oa,this.segments.prepareSegment(0,r,n);for(var i=Object.keys(t),s=0;s<i.length;s++){var l=t[+i[s]],c=ei>>l.z,u=new a(l.x*c,l.y*c),h=new a(u.x+c,u.y+c),f=this.segments.prepareSegment(4,r,n);r.emplaceBack(u.x,u.y,u.x,u.y),r.emplaceBack(h.x,u.y,h.x,u.y),r.emplaceBack(u.x,h.y,u.x,h.y),r.emplaceBack(h.x,h.y,h.x,h.y);var p=f.vertexLength;n.emplaceBack(p,p+1,p+2),n.emplaceBack(p+1,p+2,p+3),f.vertexLength+=4,f.primitiveLength+=2}this.maskedBoundsBuffer=e.createVertexBuffer(r,Nl.members),this.maskedIndexBuffer=e.createIndexBuffer(n)}},Wl.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Wl.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Wl.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Wl.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Wl.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];o&&s&&0!==Object.keys(s).length&&(a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{}),e&&e.style&&(this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(n).queryRadius(a))))}}},Wl.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Wl.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<I.now()},Wl.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Wl.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=I.now()+t};var tc=function(t,e,r,n,i,o,s,l,c,u,h,f){var p=s.top*l-c,d=s.bottom*l+c,g=s.left*l-c,v=s.right*l+c;if(this.boxStartIndex=t.length,u){var m=d-p,y=v-g;m>0&&(m=Math.max(10*l,m),this._addLineCollisionCircles(t,e,r,r.segment,y,m,n,i,o,h))}else{if(f){var x=new a(g,p),b=new a(v,p),_=new a(g,d),w=new a(v,d),k=f*Math.PI/180;x._rotate(k),b._rotate(k),_._rotate(k),w._rotate(k),g=Math.min(x.x,b.x,_.x,w.x),v=Math.max(x.x,b.x,_.x,w.x),p=Math.min(x.y,b.y,_.y,w.y),d=Math.max(x.y,b.y,_.y,w.y)}t.emplaceBack(r.x,r.y,g,p,v,d,n,i,o,0,0)}this.boxEndIndex=t.length};tc.prototype._addLineCollisionCircles=function(t,e,r,n,a,i,o,s,l,c){var u=i/2,h=Math.floor(a/u)||1,f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-i/2,g=r,v=n+1,m=d,y=-a/2,x=y-a/4;do{if(--v<0){if(m>y)return;v=0;break}m-=e[v].dist(g),g=e[v]}while(m>x);for(var b=e[v].dist(e[v+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>a&&(k+=w-a),!(k<m)){for(;m+b<k;){if(m+=b,++v+1>=e.length)return;b=e[v].dist(e[v+1])}var T=k-m,M=e[v],A=e[v+1].sub(M)._unit()._mult(T)._add(M)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(A.x,A.y,-i/2,-i/2,i/2,i/2,o,s,l,i/2,S)}}};var ec=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=rc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function rc(t,e){return t<e?-1:t>e?1:0}function nc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<i)&&(i=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-i,p=Math.min(h,f),d=p/2,g=new ec([],ac);if(0===p)return new a(n,i);for(var v=n;v<o;v+=p)for(var m=i;m<s;m+=p)g.push(new ic(v+d,m+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,a=t[0],i=0,o=a.length,s=o-1;i<o;s=i++){var l=a[i],c=a[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new ic(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new ic(b.p.x-d,b.p.y-d,d,t)),g.push(new ic(b.p.x+d,b.p.y-d,d,t)),g.push(new ic(b.p.x-d,b.p.y+d,d,t)),g.push(new ic(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: 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_=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===a?p:d)>=r&&y<=n&&vt(c,p,d,g),_=c.length-3,i&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&vt(c,c[0],c[1],c[2]),c.length&&e.push(c)}function dt(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function gt(t,e,r,n,a,i){for(var o=0;o<t.length;o++)pt(t[o],e,r,n,a,i,!1)}function vt(t,e,r,n){t.push(e),t.push(r),t.push(n)}function mt(t,e,r,n,a,i){var o=(i-e)/(n-e);return t.push(i),t.push(r+(a-r)*o),t.push(1),o}function yt(t,e,r,n,a,i){var o=(i-r)/(a-r);return t.push(e+(n-e)*o),t.push(i),t.push(1),o}function xt(t,e){for(var r=[],n=0;n<t.length;n++){var a,i=t[n],o=i.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)a=bt(i.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){a=[];for(var s=0;s<i.geometry.length;s++)a.push(bt(i.geometry[s],e))}else if(\"MultiPolygon\"===o)for(a=[],s=0;s<i.geometry.length;s++){for(var l=[],c=0;c<i.geometry[s].length;c++)l.push(bt(i.geometry[s][c],e));a.push(l)}r.push(nt(i.id,o,a,i.tags))}return r}function bt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function _t(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(wt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(wt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function wt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function kt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,Tt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Tt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)Mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)Mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)Mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function Mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function At(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)it(r,t.features[n],e,n);else\"Feature\"===t.type?it(r,t,e):it(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=ht(t,1,-1-r,r,0,-1,2,e),i=ht(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=ht(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=xt(a,1).concat(n)),i&&(n=n.concat(xt(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function St(t,e,r){return 32*((1<<t)*r+e)+t}function Et(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new k(n.features),i=E(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}Y.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(X(t[l],l));this.trees[a+1]=new H(s,tt,et,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new H(s,tt,et,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},Y.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(K(r),Q(i),K(a),Q(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?Z(p):this.points[p.index])}return c},Y.prototype.getChildren=function(t){var e=t>>5,r=t%32,n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=c[l],h=a.points[u];h.parentId===t&&s.push(h.numPoints?Z(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},Y.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},Y.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.extent,s=i.radius/o,l=(r-s)/a,c=(r+1+s)/a,u={features:[]};return this._addTileFeatures(n.range((e-s)/a,l,(e+1+s)/a,c),n.points,e,r,a,u),0===e&&this._addTileFeatures(n.range(1-s/a,l,1,c),n.points,a,r,a,u),e===a-1&&this._addTileFeatures(n.range(0,l,s/a,c),n.points,-1,r,a,u),u.features.length?u:null},Y.prototype.getClusterExpansionZoom=function(t){for(var e=t%32-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},Y.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},Y.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:l.numPoints?J(l):this.points[l.index].properties},u=l.numPoints?l.id:this.points[l.index].id;void 0!==u&&(c.id=u),i.features.push(c)}},Y.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},Y.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.radius,i=n.extent,o=n.reduce,s=a/(i*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],h=u.within(c.x,c.y,s),f=c.numPoints||1,p=c.x*f,d=c.y*f,g=o&&f>1?this._map(c,!0):null,v=(l<<5)+(e+1),m=0,y=h;m<y.length;m+=1){var x=y[m],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,f+=_,b.parentId=v,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===f?r.push(c):(c.parentId=v,r.push(W(p/f,d/f,v,f,g)))}}return r},Y.prototype._map=function(t,e){if(t.numPoints)return e?$({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?$({},n):n},At.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},At.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=St(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=kt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,v,m,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,T=1+_;g=v=m=y=null,x=ht(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=ht(t,u,r+w,r+T,0,f.minX,f.maxX,l),t=null,x&&(g=ht(x,u,n-_,n+k,1,f.minY,f.maxY,l),v=ht(x,u,n+w,n+T,1,f.minY,f.maxY,l),x=null),b&&(m=ht(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=ht(b,u,n+w,n+T,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(m||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},At.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=St(t,e=(e%o+o)%o,r);if(this.tiles[s])return _t(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[St(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?_t(this.tiles[s],a):null):null};var Lt=function(e){function r(t,r,n){e.call(this,t,r,Et),n&&(this.loadGeoJSON=n)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new l.Performance(n.request);this.loadGeoJSON(n,function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){switch(e&&e.type||null){case\"FeatureCollection\":return e.features=e.features.map(y(t,r)),e;case\"GeometryCollection\":return e.geometries=e.geometries.map(y(t,r)),e;case\"Feature\":return e.geometry=t(e.geometry,r),e;case\"Polygon\":case\"MultiPolygon\":return function(t,e){return\"Polygon\"===t.type?t.coordinates=x(t.coordinates,e):\"MultiPolygon\"===t.type&&(t.coordinates=t.coordinates.map(y(x,e))),t}(e,r);default:return e}}(o,!0);try{e._geoJSONIndex=n.cluster?new Y(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=f[1],g=t.createExpression(d),v=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=g.value,i[h]=v.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):new At(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,a=t.uid;return n&&n[a]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))},r.prototype.getClusterChildren=function(t,e){e(null,this._geoJSONIndex.getChildren(t.clusterId))},r.prototype.getClusterLeaves=function(t,e){e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))},r}(h),Ct=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.workerSourceTypes={vector:h,geojson:Lt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isLoaded())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return Ct.prototype.setReferrer=function(t,e){this.referrer=e},Ct.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Ct.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Ct.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Ct.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Ct.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Ct.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Ct.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Ct.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Ct.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},Ct.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Ct.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error(\"RTL Text Plugin failed to import scripts from \"+r)))}catch(t){n(t.toString())}},Ct.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Ct.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var a={send:function(e,r,a){n.actor.send(e,r,a,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](a,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Ct.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new f),this.demWorkerSources[t][e]},Ct.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Ct(t.window)),Ct}),n(0,function(t){var e=t.createCommonjsModule(function(t){function e(t){return!!(\"undefined\"!=typeof window&&\"undefined\"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON&&function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()&&\"Uint8ClampedArray\"in window&&ArrayBuffer.isView&&function(t){return void 0===r[t]&&(r[t]=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout(function(){t.window.removeEventListener(\"click\",u,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect(),a=t.window.TouchEvent&&r instanceof t.window.TouchEvent?r.touches[0]:r;return new t.Point(a.clientX-n.left-e.clientLeft,a.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),a=[],i=\"touchend\"===r.type?r.changedTouches:r.touches,o=0;o<i.length;o++)a.push(new t.Point(i[o].clientX-n.left-e.clientLeft,i[o].clientY-n.top-e.clientTop));return a},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],a=n.ids,i=n.callback;this._notify(a,i)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this.images[t]=e},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1){var i=a[n];this.images[i]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. 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o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=v,d=v,g=1e20;function v(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function m(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}v.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(m(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),m(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var i=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(i/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1){var l=s[o];a.push({stack:i,id:l})}t.asyncAll(a,function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e)for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})})}}else e(null,{stack:r,id:a,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}})},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}})},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},k.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];for(var s=this.width/i,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,v=0;v<this.width;v++){for(;d<v/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var m=Math.abs(v-p*s),y=Math.abs(v-d*s),x=Math.min(m,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,_+128))}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,T},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.RGBA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var T=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=a[i],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+i,this.actors.push(s)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),e.url&&(o.tiles=r.canonicalizeTileset(o,e.url)),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame(function(){return a(null,e)})}T.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},T.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},T.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},T.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,null),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var i=t.browser.getImageData(a),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:i,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",o,function(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution);var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))})},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var i={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};e.request=this.actor.send(a,i,function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),r(null))})},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())})},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,function(){e.texture=null}),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=a-r,u=i-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+a)/2*p),Math.floor((n+i)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1){var i=a[n];this.urls.push(this.map._requestManager.transformRequest(i,t.ResourceType.Source).url)}t.getVideo(this.urls,function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",function(){e.map.triggerRepaint()}),e.map&&e.video.play(),e._finishLoading())})},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(P),z=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some(function(t){return!Array.isArray(t)||2!==t.length||t.some(function(t){return\"number\"!=typeof t})})||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t,e,r){this.context=t,this.width=e,this.height=r;var n=t.gl,a=this.framebuffer=n.createFramebuffer();this.colorAttachment=new wt(t,a),this.depthAttachment=new kt(t,a)};Tt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();e&&t.deleteTexture(e);var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r),t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new vt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&t.getExtension(\"OES_texture_half_float_linear\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new U(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Lt.prototype.createFramebuffer=function(t,e){return new Tt(this,t,e)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))}),this.on(\"error\",function(){i._sourceErrored=!0}),this._source=D(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,function(){})},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,function(){})},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return Object.keys(this._tiles).map(Number).sort(Pt)},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(+a,e)&&n.push(+a);return e?n.sort(function(e,n){var a=r._tiles[e].tileID,i=r._tiles[n].tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x}):n.sort(Pt)},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){for(var r=t.overscaledZ-1;r>=e;r--){var n=t.scaledTo(r);if(!n)return;var a=String(n.key),i=this._tiles[a];if(i&&i.hasData())return i;if(this._cache.has(n))return this._cache.get(n)}},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var a in this._tiles){var i=this._tiles[a];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+r),n[i.tileID.key]=i}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter(function(t){return n._source.hasTile(t)}))):a=[];var i=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var v=this.findLoadedParent(d,o);v&&(this._addTile(v.tileID),c[v.tileID.key]=v.tileID),u[p]=d}}for(var m in this._retainLoadedChildren(u,i,s,l),c)l[m]||(this._coveredTiles[m]=!0,l[m]=c[m])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var v=d.children(this._source.maxzoom)[0],m=this.getTile(v);if(m&&m.hasData()){n[v.key]=v;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout(function(){r._reloadTile(t,\"expired\"),delete r._timers[t]},n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),c=s.map(function(t){return o.pointCoordinate(t)}),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,v=c;g<v.length;g+=1){var m=v[g];h=Math.min(h,m.x),f=Math.min(f,m.y),p=Math.max(p,m.x),d=Math.max(d,m.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),v=r*n.queryPadding*t.EXTENT/n.tileSize/g,m=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(m[0].x-v<t.EXTENT&&m[0].y-v<t.EXTENT&&m[1].x+v>=0&&m[1].y+v>=0){var y=l.map(function(t){return s.getTilePoint(t)}),x=c.map(function(t){return s.getTilePoint(t)});i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r}(t.Evented);function Pt(t,e){return t%32-e%32||e-t}function Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker($n.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var It=function(){this.active={}};It.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<It.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},It.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var Dt,Rt=Math.floor(t.browser.hardwareConcurrency/2);function Ft(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Bt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ft(t[n],e[t[n].ref]));return t}It.workerCount=Math.max(Math.min(Rt,6),1);var Nt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function jt(t,e,r){r.push({command:Nt.addSource,args:[t,e[t]]})}function Vt(t,e,r){e.push({command:Nt.removeSource,args:[t]}),r[t]=!0}function Ut(t,e,r,n){Vt(t,r,n),jt(t,e,r)}function qt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Ht(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Gt(t){return t.id}function Yt(t,e){return t[e.id]=e,t}var Wt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Xt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Zt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function Jt(e,r){var n=[e.x,e.y,0,1];oe(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function Kt(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function Qt(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,v=!1,m=0;m<d.length;m++){var y=d.get(m);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!v)ie(y.numGlyphs,f);else{v=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),Kt(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.Point(y.anchorX,y.anchorY),T=Jt(k,i).point,M={},A=ee(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g);v=A.useVertical,(A.notEnoughRoom||v||A.needsFlipping&&ee(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g).notEnoughRoom)&&ie(y.numGlyphs,f)}else ie(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function $t(t,e,r,n,a,i,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),m=ne(t*g,r,n,a,i,o,s.segment,p,d,l,c,u,h);if(!m)return null;var y=ne(t*v,r,n,a,i,o,s.segment,p,d,l,c,u,h);return y?{first:m,last:y}:null}function te(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ee(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,v=r/24,m=e.lineOffsetX*v,y=e.lineOffsetY*v;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=$t(v,l,m,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=Jt(w.first.point,s).point,T=Jt(w.last.point,s).point;if(a&&!n){var M=te(e.writingMode,k,T,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(ne(v*l.getoffsetX(A),m,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(a&&!n){var S=Jt(f,i).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=Jt(L,i),P=C.signedDistanceFromCamera>0?C.point:re(f,L,S,1,i),O=te(e.writingMode,S,P,d);if(O)return O}var z=ne(v*l.getoffsetX(e.glyphStartIndex),m,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!z)return{notEnoughRoom:!0};g=[z]}for(var I=0,D=g;I<D.length;I+=1){var R=D[I];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function re(t,e,r,n,a){var i=Jt(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function ne(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=a?e-r:e+r,g=d>0?1:-1,v=0;a&&(g*=-1,v=Math.PI),g<0&&(v+=Math.PI);for(var m=g>0?l+s:l+s+1,y=m,x=i,b=i,_=0,w=0,k=Math.abs(d);_+w<=k;){if((m+=g)<l||m>=c)return null;if(b=x,void 0===(x=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),M=Jt(T,h);if(M.signedDistanceFromCamera>0)x=f[m]=M.point;else{var A=m-g;x=re(0===_?o:new t.Point(u.getx(A),u.gety(A)),T,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),L=E.mult(S)._add(b);return L._add(E._unit()._perp()._mult(n*g)),{point:L,angle:v+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:m-g===y?0:u.gettileUnitDistanceFromAnchor(m-g),lastSegmentViewportDistance:k-_}:null}}Wt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Wt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Wt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Wt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Wt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Wt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}var f={hitTest:a,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,i),a?o.length>0:o},Wt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(i,s,o,l,this._queryCellCircle,c,u,a),n?c.length>0:c},Wt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Wt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Wt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Wt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var v=this.circles,m=0,y=g;m<y.length;m+=1){var x=y[m];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(v[b],v[b+1],v[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=v[b],w=v[b+1],k=v[b+2];i.push({key:this.circleKeys[x],x1:_-k,y1:w-k,x2:_+k,y2:w+k})}}}},Wt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var v=this.circleCells[a];if(null!==v)for(var m=this.circles,y=0,x=v;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(m[_],m[_+1],m[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Wt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(a.call(this,t,e,r,n,d,i,o,s))return}},Wt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Wt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Wt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Wt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var ae=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ie(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ae,3*n)}}function oe(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var se=function(t,e,r){void 0===e&&(e=new Wt(t.width+200,t.height+200,25)),void 0===r&&(r=new Wt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function le(t,e,r){t[e+4]=r?1:0}function ce(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}se.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},se.prototype.approximateTileDistance=function(t,e,r,n,a){var i=a?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(i-1)*o*Math.abs(Math.sin(e))},se.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(c,i.anchorX,i.anchorY),v=l/24,m=i.lineOffsetX*l,y=i.lineOffsetY*l,x=new t.Point(i.anchorX,i.anchorY),b=$t(v,s,m,y,!1,Jt(x,u).point,x,i,o,u,{},!0),_=!1,w=!1,k=!0,T=g.perspectiveRatio*a,M=1/(a*n),A=0,S=0;b&&(A=this.approximateTileDistance(b.first.tileDistance,b.first.angle,M,g.cameraDistance,f),S=this.approximateTileDistance(b.last.tileDistance,b.last.angle,M,g.cameraDistance,f));for(var E=0;E<e.length;E+=5){var L=e[E],C=e[E+1],P=e[E+2],O=e[E+3];if(!b||O<-A||O>S)le(e,E,!1);else{var z=this.projectPoint(c,L,C),I=P*T;if(d.length>0){var D=z.x-d[d.length-4],R=z.y-d[d.length-3];if(I*I*2>D*D+R*R&&E+8<e.length){var F=e[E+8];if(F>-A&&F<S){le(e,E,!1);continue}}}var B=E/5;d.push(z.x,z.y,I,B),le(e,E,!0);var N=z.x-I,j=z.y-I,V=z.x+I,U=z.y+I;if(k=k&&this.isOffscreen(N,j,V,U),w=w||this.isInsideGrid(N,j,V,U),!r&&this.grid.hitTestCircle(z.x,z.y,I,p)){if(!h)return{circles:[],offscreen:!1};_=!0}}}return{circles:_||!w?[]:d,offscreen:k}},se.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],v=g.key;if(void 0===h[v.bucketInstanceId]&&(h[v.bucketInstanceId]={}),!h[v.bucketInstanceId][v.featureIndex]){var m=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,m)&&(h[v.bucketInstanceId][v.featureIndex]=!0,void 0===f[v.bucketInstanceId]&&(f[v.bucketInstanceId]=[]),f[v.bucketInstanceId].push(v.featureIndex))}}return f},se.prototype.insertCollisionBox=function(t,e,r,n,a){var i={bucketInstanceId:r,featureIndex:n,collisionGroupID:a};(e?this.ignoredGrid:this.grid).insert(i,t[0],t[1],t[2],t[3])},se.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},se.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return oe(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},se.prototype.projectPoint=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100)},se.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},se.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},se.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary};var ue=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ue.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var he=function(t,e,r,n,a){this.text=new ue(t?t.text:null,e,r,a),this.icon=new ue(t?t.icon:null,e,n,a)};he.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var fe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},pe=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},de=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function ge(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateRadialOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}de.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var ve=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new se(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new de(r),this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function me(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}ve.prototype.placeLayerTile=function(e,r,n,a){var i=r.getBucket(e),o=r.latestFeatureIndex;if(i&&o&&e.id===i.layerIds[0]){var s=r.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=Xt(h,\"map\"===l.get(\"text-pitch-alignment\"),\"map\"===l.get(\"text-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom)),p=Xt(h,\"map\"===l.get(\"icon-pitch-alignment\"),\"map\"===l.get(\"icon-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom));this.retainedQueryData[i.bucketInstanceId]=new pe(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,r.tileID),this.placeLayerBucket(i,h,f,p,c,u,n,r.holdingForFade(),a,s)}},ve.prototype.attemptAnchorPlacement=function(e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=ge(e,n,a,i,o),y=this.collisionIndex.placeCollisionBox(function(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}(r,m.x,m.y,s,l,this.transform.angle),f,c,u,h.predicate);if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(v=this.prevPlacement.variableOffsets[p.crossTileID].anchor),this.variableOffsets[p.crossTileID]={radialOffset:i,width:n,height:a,anchor:e,textBoxScale:o,prevAnchor:v},this.markUsedJustification(d,e,p,g),d.allowVerticalPlacement&&(this.markUsedOrientation(d,g,p),this.placedOrientations[p.crossTileID]=g),y},ve.prototype.placeLayerBucket=function(e,r,n,a,i,o,s,l,c,u){var h=this,f=e.layers[0].layout,p=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom),d=f.get(\"text-optional\"),g=f.get(\"icon-optional\"),v=f.get(\"text-allow-overlap\"),m=f.get(\"icon-allow-overlap\"),y=v&&(m||!e.hasIconData()||g),x=m&&(v||!e.hasTextData()||d),b=this.collisionGroups.get(e.sourceID),_=\"map\"===f.get(\"text-rotation-alignment\"),w=\"map\"===f.get(\"text-pitch-alignment\"),k=\"viewport-y\"===f.get(\"symbol-z-order\");!e.collisionArrays&&u&&e.deserializeCollisionBoxes(u);var T=function(a,u){if(!c[a.crossTileID])if(l)h.placements[a.crossTileID]=new fe(!1,!1,!1);else{var m,k=!1,T=!1,M=!0,A={box:null,offscreen:null},S={box:null,offscreen:null},E=null,L=null,C=0,P=0,O=0;u.textFeatureIndex&&(C=u.textFeatureIndex),u.verticalTextFeatureIndex&&(P=u.verticalTextFeatureIndex);var z=u.textBox;if(z){var I=function(r){var n=t.WritingMode.horizontal;if(e.allowVerticalPlacement&&!r&&h.prevPlacement){var i=h.prevPlacement.placedOrientations[a.crossTileID];i&&(h.placedOrientations[a.crossTileID]=i,n=i,h.markUsedOrientation(e,n,a))}return n},D=function(r,n){if(e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&u.verticalTextBox)for(var i=0,o=e.writingModes;i<o.length&&(o[i]===t.WritingMode.vertical?(A=n(),S=A):A=r(),!(A&&A.box&&A.box.length));i+=1);else A=r()};if(f.get(\"text-variable-anchor\")){var R=f.get(\"text-variable-anchor\");if(h.prevPlacement&&h.prevPlacement.variableOffsets[a.crossTileID]){var F=h.prevPlacement.variableOffsets[a.crossTileID];R.indexOf(F.anchor)>0&&(R=R.filter(function(t){return t!==F.anchor})).unshift(F.anchor)}var B=function(t,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,l=a.textBoxScale,c={box:[],offscreen:!1},u=v?2*R.length:R.length,f=0;f<u;++f){var p=R[f%R.length],d=f>=R.length;if((c=h.attemptAnchorPlacement(p,t,i,s,a.radialTextOffset,l,_,w,o,r,b,d,a,e,n))&&c.box&&c.box.length){k=!0;break}}return c};D(function(){return B(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox,n=A&&A.box&&A.box.length;return e.allowVerticalPlacement&&!n&&a.numVerticalGlyphVertices>0&&r?B(r,t.WritingMode.vertical):{box:null,offscreen:null}}),A&&(k=A.box,M=A.offscreen);var N=I(A&&A.box);if(!k&&h.prevPlacement){var j=h.prevPlacement.variableOffsets[a.crossTileID];j&&(h.variableOffsets[a.crossTileID]=j,h.markUsedJustification(e,j.anchor,a,N))}}else{var V=function(t,n){var i=h.collisionIndex.placeCollisionBox(t,f.get(\"text-allow-overlap\"),o,r,b.predicate);return i&&i.box&&i.box.length&&(h.markUsedOrientation(e,n,a),h.placedOrientations[a.crossTileID]=n),i};D(function(){return V(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox;return e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&r?V(r,t.WritingMode.vertical):{box:null,offscreen:null}}),I(A&&A.box&&A.box.length)}}k=(m=A)&&m.box&&m.box.length>0,M=m&&m.offscreen;var U=u.textCircles;if(U){var q=e.text.placedSymbolArray.get(a.centerJustifiedTextSymbolIndex),H=t.evaluateSizeForFeature(e.textSizeData,p,q);E=h.collisionIndex.placeCollisionCircles(U,f.get(\"text-allow-overlap\"),i,o,q,e.lineVertexArray,e.glyphOffsetArray,H,r,n,s,w,b.predicate),k=f.get(\"text-allow-overlap\")||E.circles.length>0,M=M&&E.offscreen}u.iconFeatureIndex&&(O=u.iconFeatureIndex),u.iconBox&&(T=(L=h.collisionIndex.placeCollisionBox(u.iconBox,f.get(\"icon-allow-overlap\"),o,r,b.predicate)).box.length>0,M=M&&L.offscreen);var G=d||0===a.numHorizontalGlyphVertices&&0===a.numVerticalGlyphVertices,Y=g||0===a.numIconVertices;G||Y?Y?G||(T=T&&k):k=T&&k:T=k=T&&k,k&&m&&m.box&&(S&&S.box&&P?h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,P,b.ID):h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID)),T&&L&&h.collisionIndex.insertCollisionBox(L.box,f.get(\"icon-ignore-placement\"),e.bucketInstanceId,O,b.ID),k&&E&&h.collisionIndex.insertCollisionCircles(E.circles,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID),h.placements[a.crossTileID]=new fe(k||y,T||x,M||e.justReloaded),c[a.crossTileID]=!0}};if(k)for(var M=e.getSortedSymbolIndexes(this.transform.angle),A=M.length-1;A>=0;--A){var S=M[A];T(e.symbolInstances.get(S),e.collisionArrays[S])}else for(var E=0;E<e.symbolInstances.length;++E)T(e.symbolInstances.get(E),e.collisionArrays[E]);e.justReloaded=!1},ve.prototype.markUsedJustification=function(e,r,n,a){var i,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=i>=0&&c!==i?0:n.crossTileID)}},ve.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=a}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},ve.prototype.commit=function(t){this.commitTime=t;var e=this.prevPlacement,r=!1,n=e&&0!==this.fadeDuration?(this.commitTime-e.commitTime)/this.fadeDuration:1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new he(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new he(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new he(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},ve.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},ve.prototype.updateBucketOpacities=function(e,r,n){e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexArray.clear(),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexArray.clear();var a=e.layers[0].layout,i=new he(null,0,!1,!1,!0),o=a.get(\"text-allow-overlap\"),s=a.get(\"icon-allow-overlap\"),l=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),u=\"map\"===a.get(\"text-pitch-alignment\"),h=new he(null,0,o&&(s||!e.hasIconData()||a.get(\"icon-optional\")),s&&(o||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasCollisionBoxData()||e.hasCollisionCircleData())&&e.deserializeCollisionBoxes(n);for(var f=0;f<e.symbolInstances.length;f++){var p=e.symbolInstances.get(f),d=p.numHorizontalGlyphVertices,g=p.numVerticalGlyphVertices,v=p.crossTileID,m=r[v],y=this.opacities[v];m?y=i:y||(y=h,this.opacities[v]=y),r[v]=!0;var x=d>0||g>0,b=p.numIconVertices>0;if(x){for(var _=Me(y.text),w=(d+g)/4,k=0;k<w;k++)e.text.opacityVertexArray.emplaceBack(_);var T=y.text.isHidden()?1:0,M=this.placedOrientations[p.crossTileID],A=M===t.WritingMode.horizontal||M===t.WritingMode.horizontalOnly?1:0,S=M===t.WritingMode.vertical?1:0;[p.rightJustifiedTextSymbolIndex,p.centerJustifiedTextSymbolIndex,p.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=T||S)}),p.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(p.verticalPlacedTextSymbolIndex).hidden=T||A);var E=this.variableOffsets[p.crossTileID];E&&this.markUsedJustification(e,E.anchor,p,M);var L=this.placedOrientations[p.crossTileID];L&&(this.markUsedJustification(e,\"left\",p,L),this.markUsedOrientation(e,L,p))}if(b){for(var C=Me(y.icon),P=0;P<p.numIconVertices/4;P++)e.icon.opacityVertexArray.emplaceBack(C);e.icon.placedSymbolArray.get(f).hidden=y.icon.isHidden()}if(e.hasCollisionBoxData()||e.hasCollisionCircleData()){var O=e.collisionArrays[f];if(O){if(O.textBox){var z=new t.Point(0,0),I=!0;if(l){var D=this.variableOffsets[v];D?(z=ge(D.anchor,D.width,D.height,D.radialOffset,D.textBoxScale),c&&z._rotate(u?this.transform.angle:-this.transform.angle)):I=!1}me(e.collisionBox.collisionVertexArray,y.text.placed,!I,z.x,z.y)}O.iconBox&&me(e.collisionBox.collisionVertexArray,y.icon.placed,!1);var R=O.textCircles;if(R&&e.hasCollisionCircleData())for(var F=0;F<R.length;F+=5){var B=m||0===R[F+4];me(e.collisionCircle.collisionVertexArray,y.text.placed,B)}}}}e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexBuffer&&e.collisionBox.collisionVertexBuffer.updateData(e.collisionBox.collisionVertexArray),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexBuffer&&e.collisionCircle.collisionVertexBuffer.updateData(e.collisionCircle.collisionVertexArray)},ve.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ve.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ve.prototype.stillRecent=function(t){return this.commitTime+this.fadeDuration>t},ve.prototype.setStale=function(){this.stale=!0};var ye=Math.pow(2,25),xe=Math.pow(2,24),be=Math.pow(2,17),_e=Math.pow(2,16),we=Math.pow(2,9),ke=Math.pow(2,8),Te=Math.pow(2,1);function Me(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ye+e*xe+r*be+e*_e+r*we+e*ke+r*Te+e}var Ae=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ae.prototype.continuePlacement=function(t,e,r,n,a){for(;this._currentTileIndex<t.length;){var i=t[this._currentTileIndex];if(e.placeLayerTile(n,i,r,this._seenCrossTileIDs),this._currentTileIndex++,a())return!0}};var Se=function(t,e,r,n,a,i,o){this.placement=new ve(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Se.prototype.isDone=function(){return this._done},Se.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ae),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Se.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Ee=512/t.EXTENT/2,Le=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};Le.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,a=Ee/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*a),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*a)}},Le.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Ce=function(){this.maxCrossTileID=0};Ce.prototype.generate=function(){return++this.maxCrossTileID};var Pe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Pe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Pe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Le(t,e.symbolInstances,e.bucketInstanceId),!0},Pe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1){var i=a[n];delete this.usedCrossTileIDs[t][i.crossTileID]}},Pe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Oe=function(){this.layerIndexes={},this.crossTileIDs=new Ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Oe.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Pe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Oe.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach(function(t){e[t]=!0}),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var ze=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return\"source.canvas\"!==t.identifier}))},Ie=t.pick(Nt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),De=t.pick(Nt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Re=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new T((Dt||(Dt=new It),Dt),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Oe,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast(\"loadRTLTextPlugin\",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].reload()}),this.on(\"data\",function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}})}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)})},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame(function(){n._request=null,n._load(e,!1!==r.validate)})},r.prototype._load=function(e,r){var n=this;if(!r||!ze(this,t.validateStyle(e))){for(var a in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(a,e.sources[a],{validate:!1});e.sprite?this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),function(t,e){l=null,o||(o=t,a=e,u())}),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),function(t,e){c=null,o||(o=t,i=e,u())});function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,g,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:g,pixelRatio:d,sdf:p}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e.sprite,this.map._requestManager,function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var a in r)n.imageManager.addImage(a,r[a]);n.imageManager.setLoaded(!0),n.fire(new t.Event(\"data\",{dataType:\"style\"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Bt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={};for(var o=0,s=i;o<s.length;o+=1){var l=s[o];(l=t.createStyleLayer(l)).setEventedParent(this,{layer:{id:l.id}}),this._layers[l.id]=l}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r],i=this._layers[a];\"custom\"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];f.recalculate(e),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),ze(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Bt(e.layers);var n=function(e,r){if(!e)return[{command:Nt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Nt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Nt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Nt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Nt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Nt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Nt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Nt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Nt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Nt.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||Vt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&qt(e,r,i)?n.push({command:Nt.setGeoJSONSourceData,args:[i,r[i].data]}):Ut(i,r,n,a)):jt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach(function(t){a[t.source]?n.push({command:Nt.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Gt),f=r.map(Gt),p=e.reduce(Yt,{}),d=r.reduce(Yt,{}),g=h.slice(),v=Object.create(null);for(a=0,i=0;a<h.length;a++)o=h[a],d.hasOwnProperty(o)?i++:(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)o=f[f.length-1-a],g[g.length-1-a]!==o&&(p.hasOwnProperty(o)?(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,c=g[g.length-a],n.push({command:Nt.addLayer,args:[d[o],c]}),g.splice(g.length-a,0,o),v[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!v[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Ht(s.layout,l.layout,n,o,null,Nt.setLayoutProperty),Ht(s.paint,l.paint,n,o,null,Nt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Nt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Nt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Nt.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Nt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Nt.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in De)});if(0===n.length)return!1;var a=n.filter(function(t){return!(t.command in Ie)});if(a.length>0)throw new Error(\"Unimplemented: \"+a.map(function(t){return t.command}).join(\", \")+\".\");return n.forEach(function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)}),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}}),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(ze(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}})}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n],o=parseInt(e.id,10);if(void 0!==i){var s=i.getSource().type;\"geojson\"===s&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==s||a?isNaN(o)||o<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\"))):i.setFeatureState(a,o,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0,s=parseInt(e.id,10);\"vector\"!==i||o?void 0!==e.id&&isNaN(s)||s<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be non-negative.\"))):r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,s,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r],i=parseInt(e.id,10);if(void 0!==a)if(\"vector\"!==a.getSource().type||n){if(!(isNaN(i)||i<0))return a.getFeatureState(n,i);this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\")))}else this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,function(t){return t.serialize()}),layers:this._serializeLayers(this._order)},function(t){return void 0!==t})},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];a.push(f)}}}}a.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var v=a.length-1;v>=0;v--){var m=a[v].feature;if(n[m.layer.id]<d)break;p.push(m),a.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var k=w[_];p.push(k.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];a[l.source]=!0}}var c=[];for(var u in this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i){for(var o={},s=a.queryRenderedSymbols(r),l=[],c=0,u=Object.keys(s).map(Number);c<u.length;c+=1){var h=u[c];l.push(i[h])}l.sort(B);for(var f=function(){var e=d[p],r=e.featureIndex.lookupSymbolFeatures(s[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,n.filter,n.layers,t);for(var a in r){var i=o[a]=o[a]||[],l=r[a];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-a}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];i.push(h)}}},p=0,d=l;p<d.length;p+=1)f();var g=function(r){o[r].forEach(function(n){var a=n.feature,i=t[r],o=e[i.source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=o})};for(var v in o)g(v);return o}(this._layers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&ze(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginAvailable\",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a){for(var i=!1,o=!1,s={},l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];if(\"symbol\"===h.type){if(!s[h.source]){var f=this.sourceCaches[h.source];s[h.source]=f.getRenderableIds(!0).map(function(t){return f.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var p=this.crossTileSymbolIndex.addLayer(h,s[h.source],e.center.lng);i=i||p}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged||0===n;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now()))&&(this.pauseablePlacement=new Se(e,this._order,d,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,s),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),o=!0),i&&this.pauseablePlacement.placement.setStale()),o||i)for(var g=0,v=this._order;g<v.length;g+=1){var m=v[g],y=this._layers[m];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,s[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Re.getSourceType=function(t){return I[t]},Re.setSourceType=function(t,e){I[t]=e},Re.registerForPluginAvailability=t.registerForPluginAvailability;var Fe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Be=cr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ne=cr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),je=cr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ve=cr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Ue=cr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),qe=cr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),He=cr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Ge=cr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),Ye=cr(\"uniform float u_overscale_factor;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {float alpha=0.5;vec4 color=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {color=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {color*=.2;}float extrude_scale_length=length(v_extrude_scale);float extrude_length=length(v_extrude)*extrude_scale_length;float stroke_width=15.0*extrude_scale_length/u_overscale_factor;float radius=v_radius*extrude_scale_length;float distance_to_edge=abs(extrude_length-radius);float opacity_t=smoothstep(-stroke_width,0.0,-distance_to_edge);gl_FragColor=opacity_t*color;}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);highp float padding_factor=1.2;gl_Position.xy+=a_extrude*u_extrude_scale*padding_factor*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;v_radius=abs(a_extrude.y);v_extrude=a_extrude*padding_factor;v_extrude_scale=u_extrude_scale*u_camera_to_center_distance*collision_perspective_ratio;}\"),We=cr(\"uniform highp vec4 u_color;void main() {gl_FragColor=u_color;}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=cr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ze=cr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),Je=cr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),Ke=cr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),Qe=cr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),$e=cr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec4 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),tr=cr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;return (data.r+data.g*256.0+data.b*256.0*256.0)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),er=cr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),rr=cr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),nr=cr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ar=cr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec4 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x,1.0);float x_b=mod(v_linesofar/pattern_size_b.x,1.0);float y_a=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_a.y+2.0)/2.0)/pattern_size_a.y);float y_b=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_b.y+2.0)/2.0)/pattern_size_b.y);vec2 pos_a=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,vec2(x_a,y_a));vec2 pos_b=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,vec2(x_b,y_b));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);}\"),ir=cr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),or=cr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),sr=cr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),lr=cr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=vec2(tex.x,tex.y);v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\");function cr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}),vertexSource:e=e.replace(r,function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})}}var ur=Object.freeze({prelude:Be,background:Ne,backgroundPattern:je,circle:Ve,clippingMask:Ue,heatmap:qe,heatmapTexture:He,collisionBox:Ge,collisionCircle:Ye,debug:We,fill:Xe,fillOutline:Ze,fillOutlinePattern:Je,fillPattern:Ke,fillExtrusion:Qe,fillExtrusionPattern:$e,hillshadePrepare:tr,hillshade:er,line:rr,lineGradient:nr,linePattern:ar,lineSDF:ir,raster:or,symbolIcon:sr,symbolSDF:lr}),hr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};hr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==a||this.boundVertexOffset!==i||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,a,i,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind())},hr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var v=g[d];v.bind(),v.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},hr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var fr=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r.defines();a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Be.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Be.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var v=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),m=0;m<v;m++){var y=i.getActiveUniform(this.program,m);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r.getUniforms(t,p)};function pr(e,r,n){var a=1/ce(n,1,r.transform.tileZoom),i=Math.pow(2,n.tileID.overscaledZ),o=n.tileSize*Math.pow(2,r.transform.tileZoom)/i,s=o*(n.tileID.canonical.x+n.tileID.wrap*i),l=o*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[t.browser.devicePixelRatio,a,e.fromScale,e.toScale],u_fade:e.t,u_pixel_coord_upper:[s>>16,l>>16],u_pixel_coord_lower:[65535&s,65535&l]}}fr.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=t.gl;for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(v={},v[m.LINES]=2,v[m.TRIANGLES]=3,v[m.LINE_STRIP]=1,v)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new hr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),m.drawElements(e,w.primitiveLength*x,m.UNSIGNED_SHORT,w.primitiveOffset*x*2)}};var dr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},gr=function(e,r,n,a,i,o,s){return t.extend(dr(e,r,n,a),pr(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},vr=function(t){return{u_matrix:t}},mr=function(e,r,n,a){return t.extend(vr(e),pr(n,r,a))},yr=function(t,e){return{u_matrix:t,u_world:e}},xr=function(e,r,n,a,i){return t.extend(mr(e,r,n,a),{u_world:i})},br=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=ce(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},_r=function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},wr=function(t,e,r){var n=ce(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},kr=function(t,e){return{u_matrix:t,u_color:e}},Tr=function(t){return{u_matrix:t}},Mr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ce(e,1,r),u_intensity:n}},Ar=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),i=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Er(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:a,u_accent:i}},Sr=function(e,r){var n=e.dem.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[n,n],u_zoom:e.tileID.overscaledZ,u_maxzoom:r}};function Er(e,r){var n=Math.pow(2,r.canonical.z),a=r.canonical.y;return[new t.MercatorCoordinate(0,a/n).toLngLat().lat,new t.MercatorCoordinate(0,(a+1)/n).toLngLat().lat]}var Lr=function(e,r,n){var a=e.transform;return{u_matrix:Ir(e,r,n),u_ratio:1/ce(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Cr=function(e,r,n){return t.extend(Lr(e,r,n),{u_image:0})},Pr=function(e,r,n,a){var i=e.transform,o=zr(r,i);return{u_matrix:Ir(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ce(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[t.browser.devicePixelRatio,o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Or=function(e,r,n,a,i){var o=e.transform,s=e.lineAtlas,l=zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(a.from,c),h=s.getDash(a.to,c),f=u.width*i.fromScale,p=h.width*i.toScale;return t.extend(Lr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:i.t})};function zr(t,e){return 1/ce(t,1,e.tileZoom)}function Ir(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Dr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Rr(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Rr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Fr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Br=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(Fr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Nr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},jr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from),i=r.imageManager.getPattern(t.to),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ce(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Vr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:_r,collisionCircle:_r,debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1f(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Ur(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),a=0;a<n.length;a++){var i={},o=n[a],s=n.slice(a+1);qr(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),i),o.setMask(i,r)}}function qr(e,r,n,a,i){for(var o=0;o<n.length;o++){var s=n[o];if(a.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)qr(e,l[c],n.slice(o),a,i);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));i[h.key]=i[h.key]||h}function Hr(t,e,r,n,a){for(var i=t.context,o=i.gl,s=a?t.useProgram(\"collisionCircle\"):t.useProgram(\"collisionBox\"),l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=a?h.collisionCircle:h.collisionBox;f&&s.draw(i,a?o.TRIANGLES:o.LINES,Mt.disabled,At.disabled,t.colorModeForRenderPass(),Et.disabled,wr(c.posMatrix,t.transform,u),r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,t.transform.zoom,null,null,f.collisionVertexBuffer)}}}var Gr=t.identity(new Float32Array(16));function Yr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateRadialOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Wr(e,r,n,a,i,o,s,l,c,u){var h=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray;f.clear();for(var p=0;p<h.length;p++){var d=h.get(p),g=e.allowVerticalPlacement&&!d.placedOrientation,v=d.hidden||!d.crossTileID||g?null:a[d.crossTileID];if(v){var m=new t.Point(d.anchorX,d.anchorY),y=Jt(m,n?l:s),x=.5+o.cameraToCenterDistance/y.signedDistanceFromCamera*.5,b=i.evaluateSizeForFeature(e.textSizeData,u,d)*x/t.ONE_EM;n&&(b*=e.tilePixelRatio/c);for(var _=v.width,w=v.height,k=v.radialOffset,T=v.textBoxScale,M=Yr(v.anchor,_,w,k,T,b),A=n?Jt(m.add(M),s).point:y.point.add(r?M.rotate(-o.angle):M),S=e.allowVerticalPlacement&&d.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,E=0;E<d.numGlyphs;E++)t.addDynamicAttributes(f,A,S)}else ie(d.numGlyphs,f)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function Xr(e){var r=e.text.placedSymbolArray,n=e.text.dynamicLayoutVertexArray;n.clear();for(var a=0;a<r.length;a++){var i=r.get(a);if(i.hidden||!i.placedOrientation)ie(i.numGlyphs,n);else for(var o=new t.Point(i.anchorX,i.anchorY),s=e.allowVerticalPlacement&&i.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,l=0;l<i.numGlyphs;l++)t.addDynamicAttributes(n,o,s)}e.text.dynamicLayoutVertexBuffer.updateData(n)}function Zr(e,r,n,a,i,o,s,l,c,u,h,f,p){for(var d,g,v=e.context,m=v.gl,y=e.transform,x=\"map\"===l,b=\"map\"===c,_=x&&\"point\"!==n.layout.get(\"symbol-placement\"),w=x&&!b&&!_,k=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),T=e.depthModeForSublayer(0,Mt.ReadOnly),M=n.layout.get(\"text-variable-anchor\"),A=[],S=0,E=a;S<E.length;S+=1){var L=E[S],C=r.getTile(L),P=C.getBucket(n);if(P){var O=i?P.text:P.icon;if(O&&O.segments.get().length){var z=O.programConfigurations.get(n.id),I=i||P.sdfIcons,D=i?P.textSizeData:P.iconSizeData;d||(d=e.useProgram(I?\"symbolSDF\":\"symbolIcon\",z),g=t.evaluateSizeForZoom(D,y.zoom)),v.activeTexture.set(m.TEXTURE0);var R=void 0,F=void 0,B=void 0;if(i)F=C.glyphAtlasTexture,B=m.LINEAR,R=C.glyphAtlasTexture.size;else{var N=1!==n.layout.get(\"icon-size\").constantOr(0)||P.iconsNeedLinear,j=b||0!==y.pitch;F=C.imageAtlasTexture,B=I||e.options.rotating||e.options.zooming||N||j?m.LINEAR:m.NEAREST,R=C.imageAtlasTexture.size}var V=ce(C,1,e.transform.zoom),U=Xt(L.posMatrix,b,x,e.transform,V),q=Zt(L.posMatrix,b,x,e.transform,V);if(_)Qt(P,L.posMatrix,e,i,U,q,b,u);else if(i&&g&&M){var H=Math.pow(2,y.zoom-C.tileID.overscaledZ);Wr(P,x,b,p,t.symbolSize,y,U,L.posMatrix,H,g)}else i&&g&&P.allowVerticalPlacement&&Xr(P);var G=e.translatePosMatrix(L.posMatrix,C,o,s),Y=_||i&&M?Gr:U,W=e.translatePosMatrix(q,C,o,s,!0),X=I&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Z={program:d,buffers:O,uniformValues:I?Br(D.kind,g,w,b,e,G,Y,W,i,R,!0):Fr(D.kind,g,w,b,e,G,Y,W,i,R),atlasTexture:F,atlasInterpolation:B,isSDF:I,hasHalo:X};if(k)for(var J=0,K=O.segments.get();J<K.length;J+=1){var Q=K[J];A.push({segments:new t.SegmentVector([Q]),sortKey:Q.sortKey,state:Z})}else A.push({segments:O.segments,sortKey:0,state:Z})}}}k&&A.sort(function(t,e){return t.sortKey-e.sortKey});for(var $=0,tt=A;$<tt.length;$+=1){var et=tt[$],rt=et.state;if(rt.atlasTexture.bind(rt.atlasInterpolation,m.CLAMP_TO_EDGE),rt.isSDF){var nt=rt.uniformValues;rt.hasHalo&&(nt.u_is_halo=1,Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,nt)),nt.u_is_halo=0}Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,rt.uniformValues)}}function Jr(t,e,r,n,a,i,o,s,l){var c=n.context,u=c.gl;a.draw(c,u.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function Kr(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var v=0,m=n;v<m.length;v+=1){var y=m[v],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePatternPaintBuffers(g));var k=p.constantOr(null);if(k&&x.imageAtlas){var T=x.imageAtlas.patternPositions[k.to],M=x.imageAtlas.patternPositions[k.from];T&&M&&_.setConstantPatternPositions(T,M)}var A=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var S=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?xr(A,t,g,x,S):yr(A,S)}else u=b.indexBuffer,h=b.segments,c=d?mr(A,t,g,x):vr(A);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function Qr(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],v=e.getTile(g),m=v.getBucket(r);if(m){var y=m.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),v.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePatternPaintBuffers(h));var b=c.constantOr(null);if(b&&v.imageAtlas){var _=v.imageAtlas.patternPositions[b.to],w=v.imageAtlas.patternPositions[b.from];_&&w&&y.setConstantPatternPositions(_,w)}var k=t.translatePosMatrix(g.posMatrix,v,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),T=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?gr(k,t,T,f,g,h,v):dr(k,t,T,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,M,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y)}}}function $r(t,e,r,n,a,i){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=Ar(t,e,r);e.maskedBoundsBuffer&&e.maskedIndexBuffer&&e.segments?c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,e.maskedBoundsBuffer,e.maskedIndexBuffer,e.segments):c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function tn(e,r,n,a,i,o,s){var l=e.context,c=l.gl;if(r.dem&&r.dem.data){var u=r.dem.dim,h=r.dem.stride,f=r.dem.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var d=r.fbo;if(!d){var g=new t.Texture(l,{width:u,height:u,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(d=r.fbo=l.createFramebuffer(u,u)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(d.framebuffer),l.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,Sr(r,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function en(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}function rn(e,r,n){var 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c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var v=a[g],m=r.getTile(v),y=m.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:br(e,v,m,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var k=w[_];d.push({segments:new t.SegmentVector([k]),sortKey:k.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort(function(t,e){return t.sortKey-e.sortKey});for(var T=0,M=d;T<M.length;T+=1){var A=M[T],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,z=A.segments;L.draw(c,u.TRIANGLES,h,f,p,Et.disabled,O,n.id,C,P,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=e.depthModeForSublayer(0,Mt.ReadOnly),l=At.disabled,c=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4),function t(e,r,n,a){var i=e.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,r.width/4,r.height/4,0,i.RGBA,e.extTextureHalfFloat?e.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),a.colorAttachment.set(n),e.extTextureHalfFloat&&i.checkFramebufferStatus(i.FRAMEBUFFER)!==i.FRAMEBUFFER_COMPLETE&&(e.extTextureHalfFloat=null,a.colorAttachment.setDirty(),t(e,r,n,a))}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var u=0;u<a.length;u++){var h=a[u];if(!r.hasRenderableParent(h)){var f=r.getTile(h),p=f.getBucket(n);if(p){var d=p.programConfigurations.get(n.id),g=e.useProgram(\"heatmap\",d),v=e.transform.zoom;g.draw(i,o.TRIANGLES,s,l,c,Et.disabled,Mr(h.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,p.layoutVertexBuffer,p.indexBuffer,p.segments,n.paint,e.transform.zoom,d)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:a,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=c?\"lineSDF\":h?\"linePattern\":f?\"lineGradient\":\"line\",g=e.context,v=g.gl,m=!0;if(f){g.activeTexture.set(v.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,v.RGBA)),y.bind(v.LINEAR,v.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var k=w.getBucket(n);if(k){var T=k.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,T),S=m||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas.patternPositions[E.to],C=w.imageAtlas.patternPositions[E.from];L&&C&&T.setConstantPatternPositions(L,C)}var P=c?Or(e,w,n,c,p):h?Pr(e,w,n,p):f?Cr(e,w,n):Lr(e,w,n);c&&(S||e.lineAtlas.dirty)?(g.activeTexture.set(v.TEXTURE0),e.lineAtlas.bind(g)):h&&(g.activeTexture.set(v.TEXTURE0),w.imageAtlasTexture.bind(v.LINEAR,v.CLAMP_TO_EDGE),T.updatePatternPaintBuffers(p)),A.draw(g,v.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,n.paint,e.transform.zoom,T),m=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);Kr(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);Kr(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))Qr(t,e,r,n,i,At.disabled,St.disabled),Qr(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();Qr(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=At.disabled,l=t.colorModeForRenderPass(),c=0,u=n;c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?tn(t,f,r,i,o,s,l):\"translucent\"===t.renderPass&&$r(t,f,r,o,s,l)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\"))for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=At.disabled,c=t.colorModeForRenderPass(),u=n.length&&n[0].overscaledZ,h=!t.options.moving,f=0,p=n;f<p.length;f+=1){var d=p[f],g=t.depthModeForSublayer(d.overscaledZ-u,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),v=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),h);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var y=e.findLoadedParent(d,0),x=en(v,y,e,r,t.transform),b=void 0,_=void 0,w=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),y?(y.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),b=Math.pow(2,y.tileID.overscaledZ-v.tileID.overscaledZ),_=[v.tileID.canonical.x*b%1,v.tileID.canonical.y*b%1]):v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var k=Dr(m,_||[0,0],b||1,x,r);o instanceof P?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):v.maskedBoundsBuffer&&v.maskedIndexBuffer&&v.segments?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,v.maskedBoundsBuffer,v.maskedIndexBuffer,v.segments,r.paint,t.transform.zoom):s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var v=r.getCrossfadeParameters(),m=0,y=g;m<y.length;m+=1){var x=y[m],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?jr(b,a,t,c,{tileID:x,tileSize:l},v):Nr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)rn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},on=function(e,r){this.context=new Lt(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.ProgramConfiguration,this.crossTileSymbolIndex=new Oe};function sn(t,e){if(t.y>e.y){var r=t;t=e,e=r}return{x0:t.x,y0:t.y,x1:e.x,y1:e.y,dx:e.x-t.x,dy:e.y-t.y}}function ln(t,e,r,n,a){var i=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=i;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;a(Math.floor(d),Math.ceil(p),f)}}function cn(t,e,r,n,a,i){var o,s=sn(t,e),l=sn(e,r),c=sn(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&ln(c,s,n,a,i),l.dy&&ln(c,l,n,a,i)}on.prototype.resize=function(e,r){var n=this.context.gl;if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var a=0,i=this.style._order;a<i.length;a+=1){var o=i[a];this.style._layers[o].resize()}this.depthRbo&&(n.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},on.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Fe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Fe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,t.rasterBoundsAttributes.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,Fe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},on.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Tr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},on.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Tr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},on.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},on.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},on.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},on.prototype.render=function(e,r){this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var n=this.style._order,a=this.style.sourceCaches;for(var i in a){var o=a[i];o.used&&o.prepare(this.context)}var s={},l={},c={};for(var u in a){var h=a[u];s[u]=h.getVisibleCoordinates(),l[u]=s[u].slice().reverse(),c[u]=h.getVisibleCoordinates(!0).reverse()}for(var f in a){var p=a[f],d=p.getSource();if(\"raster\"===d.type||\"raster-dem\"===d.type){for(var g=[],v=0,m=s[f];v<m.length;v+=1){var y=m[v];g.push(p.getTile(y))}Ur(g,this.context)}}this.opaquePassCutoff=1/0;for(var x=0;x<n.length;x++){var b=n[x];if(this.style._layers[b].is3D()){this.opaquePassCutoff=x;break}}this.renderPass=\"offscreen\",this.depthRboNeedsClear=!0;for(var _=0,w=n;_<w.length;_+=1){var k=w[_],T=this.style._layers[k];if(T.hasOffscreenPass()&&!T.isHidden(this.transform.zoom)){var M=l[T.source];(\"custom\"===T.type||M.length)&&this.renderLayer(this,a[T.source],T,M)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=n.length-1;this.currentLayer>=0;this.currentLayer--){var A=this.style._layers[n[this.currentLayer]],S=a[A.source],E=s[A.source];this._renderTileClippingMasks(A,E),this.renderLayer(this,S,A,E)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<n.length;this.currentLayer++){var L=this.style._layers[n[this.currentLayer]],C=a[L.source],P=(\"symbol\"===L.type?c:l)[L.source];this._renderTileClippingMasks(L,s[L.source]),this.renderLayer(this,C,L,P)}if(this.options.showTileBoundaries)for(var O in a){an.debug(this,a[O],s[O]);break}this.context.setDefault()},on.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},on.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,an[r.type](t,e,r,n,this.style.placement.variableOffsets))},on.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:ce(r,n[0],this.transform.zoom),i?n[1]:ce(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},on.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},on.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},on.prototype.isPatternMissing=function(t){if(!t)return!1;var e=this.imageManager.getPattern(t.from),r=this.imageManager.getPattern(t.to);return!e||!r},on.prototype.useProgram=function(t,e){void 0===e&&(e=this.emptyProgramConfiguration),this.cache=this.cache||{};var r=\"\"+t+(e.cacheKey||\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new fr(this.context,ur[t],e,Vr[t],this._showOverdrawInspector)),this.cache[r]},on.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},on.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)};var un=function(e,r,n){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===n||n,this._minZoom=e||0,this._maxZoom=r||22,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._posMatrixCache={},this._alignedPosMatrixCache={}},hn={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};un.prototype.clone=function(){var t=new un(this._minZoom,this._maxZoom,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._calcMatrices(),t},hn.minZoom.get=function(){return this._minZoom},hn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},hn.maxZoom.get=function(){return this._maxZoom},hn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},hn.renderWorldCopies.get=function(){return this._renderWorldCopies},hn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},hn.worldSize.get=function(){return this.tileSize*this.scale},hn.centerPoint.get=function(){return this.size._div(2)},hn.size.get=function(){return new t.Point(this.width,this.height)},hn.bearing.get=function(){return-this.angle/Math.PI*180},hn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},hn.pitch.get=function(){return this._pitch/Math.PI*180},hn.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},hn.fov.get=function(){return this._fov/Math.PI*180},hn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},hn.zoom.get=function(){return this._zoom},hn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},hn.center.get=function(){return this._center},hn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},un.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},un.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},un.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=new t.Point(i*a.x-.5,i*a.y-.5);return function(e,r,n,a){void 0===a&&(a=!0);var i=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=i)for(c=r;c<s;c++)u=Math.floor(c/i),h=(c%i+i)%i,0!==u&&!0!==a||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}var l=r.map(function(e){return new t.Point(e.x,e.y)._mult(i)});return cn(l[0],l[1],l[2],0,i,s),cn(l[2],l[3],l[0],0,i,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.Point(0,0)),this.pointCoordinate(new t.Point(this.width,0)),this.pointCoordinate(new t.Point(this.width,this.height)),this.pointCoordinate(new t.Point(0,this.height))],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return o.dist(t.canonical)-o.dist(e.canonical)})},un.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},hn.unmodified.get=function(){return this._unmodified},un.prototype.zoomScale=function(t){return Math.pow(2,t)},un.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},un.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},un.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},hn.point.get=function(){return this.project(this.center)},un.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},un.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},un.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},un.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},un.prototype.coordinateLocation=function(t){return t.toLngLat()},un.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[0]/a,s=n[0]/i,l=r[1]/a,c=n[1]/i,u=r[2]/a,h=n[2]/i,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},un.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},un.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},un.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},un.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},un.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},un.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},un.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,v=c.y/2;g-v<i&&(a=i+v),g+v>o&&(a=o-v)}if(this.lngRange){var m=p.x,y=c.x/2;m-y<s&&(n=s+y),m+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},un.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var e=this._fov/2,r=Math.PI/2+this._pitch,n=Math.sin(e)*this.cameraToCenterDistance/Math.sin(Math.PI-r-e),a=this.point,i=a.x,o=a.y,s=1.01*(Math.cos(Math.PI/2-this._pitch)*n+this.cameraToCenterDistance),l=this.height/50,c=new Float64Array(16);t.perspective(c,this._fov,this.width/this.height,l,s),t.scale(c,c,[1,-1,1]),t.translate(c,c,[0,0,-this.cameraToCenterDistance]),t.rotateX(c,c,this._pitch),t.rotateZ(c,c,this.angle),t.translate(c,c,[-i,-o,0]),this.mercatorMatrix=t.scale([],c,[this.worldSize,this.worldSize,this.worldSize]),t.scale(c,c,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=c;var u=this.width%2/2,h=this.height%2/2,f=Math.cos(this.angle),p=Math.sin(this.angle),d=i-Math.round(i)+f*u+p*h,g=o-Math.round(o)+f*h+p*u,v=new Float64Array(c);if(t.translate(v,v,[d>.5?d-1:d,g>.5?g-1:g,0]),this.alignedProjMatrix=v,c=t.create(),t.scale(c,c,[this.width/2,-this.height/2,1]),t.translate(c,c,[1,-1,0]),this.labelPlaneMatrix=c,c=t.create(),t.scale(c,c,[1,-1,1]),t.translate(c,c,[-1,-1,0]),t.scale(c,c,[2/this.width,2/this.height,1]),this.glCoordMatrix=c,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(c=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=c,this._posMatrixCache={},this._alignedPosMatrixCache={}}},un.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},un.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},un.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(un.prototype,hn);var fn=function(){var e,r,n,a;t.bindAll([\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=null,a=function(){n=null,r&&(e(),n=setTimeout(a,300),r=!1)},function(){return r=!0,n||a(),n})};fn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},fn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},fn.prototype.getHashString=function(t){var e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,n),i=Math.round(e.lng*a)/a,o=Math.round(e.lat*a)/a,s=this._map.getBearing(),l=this._map.getPitch(),c=\"\";return c+=t?\"#/\"+i+\"/\"+o+\"/\"+r:\"#\"+r+\"/\"+o+\"/\"+i,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=\"/\"+Math.round(l)),c},fn.prototype._onHashChange=function(){var e=t.window.location.hash.replace(\"#\",\"\").split(\"/\");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},fn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var pn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),dn=function(e){function n(n,a,i){var o=r.touchPos(a.getCanvasContainer(),i),s=o.map(function(t){return a.unproject(t)}),l=o.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=a.unproject(l);e.call(this,n,{points:o,point:l,lngLats:s,lngLat:c,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),gn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),vn=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};vn.prototype.setZoomRate=function(t){this._defaultZoomRate=t},vn.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},vn.prototype.isEnabled=function(){return!!this._enabled},vn.prototype.isActive=function(){return!!this._active},vn.prototype.isZooming=function(){return!!this._zooming},vn.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},vn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},vn.prototype.onWheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this.isActive()||this._start(e)),e.preventDefault()}},vn.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this.isActive()||this._start(t)},vn.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0,this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._map.fire(new t.Event(\"zoomstart\",{originalEvent:e}))),this._finishTimeout&&clearTimeout(this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame))}},vn.prototype._onScrollFrame=function(){var e=this;if(this._frameId=null,this.isActive()){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,s=this._startZoom,l=this._easing,c=!1;if(\"wheel\"===this._type&&s&&l){var u=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=l(u);r.zoom=t.number(s,o,h),u<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):c=!0}else r.zoom=o,c=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event(\"zoom\",{originalEvent:this._lastWheelEvent})),c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._map.fire(new t.Event(\"zoomend\",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event(\"moveend\",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},vn.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r};var mn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onKeyDown\"],this)};mn.prototype.isEnabled=function(){return!!this._enabled},mn.prototype.isActive=function(){return!!this._active},mn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},mn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},mn.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.addEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.addEventListener(\"mouseup\",this._onMouseUp,!1),r.disableDrag(),this._startPos=this._lastPos=r.mousePos(this._el,e),this._active=!0)},mn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);if(!(this._lastPos.equals(e)||!this._box&&e.dist(this._startPos)<this._clickTolerance)){var n=this._startPos;this._lastPos=e,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(n.x,e.x),i=Math.max(n.x,e.x),o=Math.min(n.y,e.y),s=Math.max(n.y,e.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+o+\"px)\"),this._box.style.width=i-a+\"px\",this._box.style.height=s-o+\"px\"}},mn.prototype._onMouseUp=function(e){if(0===e.button){var n=this._startPos,a=r.mousePos(this._el,e);this._finish(),r.suppressClick(),n.x===a.x&&n.y===a.y?this._fireEvent(\"boxzoomcancel\",e):this._map.fitScreenCoordinates(n,a,this._map.getBearing(),{linear:!0}).fire(new t.Event(\"boxzoomend\",{originalEvent:e}))}},mn.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},mn.prototype._finish=function(){this._active=!1,t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.removeEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},mn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var yn=t.bezier(0,0,.25,1),xn=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state=\"disabled\",this._button=r.button||\"right\",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll([\"onMouseDown\",\"_onMouseMove\",\"_onMouseUp\",\"_onBlur\",\"_onDragFrame\"],this)};xn.prototype.isEnabled=function(){return\"disabled\"!==this._state},xn.prototype.isActive=function(){return\"active\"===this._state},xn.prototype.enable=function(){this.isEnabled()||(this._state=\"enabled\")},xn.prototype.disable=function(){if(this.isEnabled())switch(this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\"),this._pitchWithRotate&&this._fireEvent(\"pitchend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},xn.prototype.onMouseDown=function(e){if(\"enabled\"===this._state){var n=\"touchstart\"===e.type;if(n)this._startTime=Date.now();else if(\"right\"===this._button){if(this._eventButton=r.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==r.mouseButton(e))return;this._eventButton=0}r.disableDrag(),n?(t.window.document.addEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"touchend\",this._onMouseUp)):(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"mouseup\",this._onMouseUp)),t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._inertia=[[t.browser.now(),this._map.getBearing()]],this._startPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},xn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);this._lastPos.equals(e)||(this._lastMoveEvent=t,this._lastPos=e,\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t),this._pitchWithRotate&&this._fireEvent(\"pitchstart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},xn.prototype._onDragFrame=function(){this._frameId=null;var e=this._lastMoveEvent;if(e){var r=this._map.transform,n=this._prevPos,a=this._lastPos,i=.8*(n.x-a.x),o=-.5*(n.y-a.y),s=r.bearing-i,l=r.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([t.browser.now(),this._map._normalizeBearing(s,u[1])]),r.bearing=s,this._pitchWithRotate&&(this._fireEvent(\"pitch\",e),r.pitch=l),this._fireEvent(\"rotate\",e),this._fireEvent(\"move\",e),delete this._lastMoveEvent,this._prevPos=this._lastPos}},xn.prototype._onMouseUp=function(t){if(\"touchend\"===t.type&&this._startPos===this._lastPos&&Date.now()-this._startTime<300&&this._el.click(),r.mouseButton(t)===this._eventButton)switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\",t),this._pitchWithRotate&&this._fireEvent(\"pitchend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._unbind=function(){t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp),t.window.document.removeEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"touchend\",this._onMouseUp),t.window.removeEventListener(\"blur\",this._onBlur),r.enableDrag()},xn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._lastPos},xn.prototype._inertialRotate=function(t){var e=this;this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),a=this._inertia,i=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent(\"moveend\",t),e._pitchWithRotate&&e._fireEvent(\"pitchend\",t)};if(a.length<2)i();else{var o=a[0],s=a[a.length-1],l=a[a.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:yn,noMoveStart:!0},{originalEvent:t})}else i()}},xn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},xn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var bn=t.bezier(0,0,.3,1),_n=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._state=\"disabled\",this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMove\",\"_onMouseUp\",\"_onTouchEnd\",\"_onBlur\",\"_onDragFrame\"],this)};_n.prototype.isEnabled=function(){return\"disabled\"!==this._state},_n.prototype.isActive=function(){return\"active\"===this._state},_n.prototype.enable=function(){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-drag-pan\"),this._state=\"enabled\")},_n.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove(\"mapboxgl-touch-drag-pan\"),this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},_n.prototype.onMouseDown=function(e){\"enabled\"===this._state&&(e.ctrlKey||0!==r.mouseButton(e)||(r.addEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.addEventListener(t.window.document,\"mouseup\",this._onMouseUp),this._start(e)))},_n.prototype.onTouchStart=function(e){\"enabled\"===this._state&&(e.touches.length>1||(r.addEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onTouchEnd),this._start(e)))},_n.prototype._start=function(e){t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._startPos=this._mouseDownPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._inertia=[[t.browser.now(),this._startPos]]},_n.prototype._onMove=function(e){e.preventDefault();var n=r.mousePos(this._el,e);this._lastPos.equals(n)||\"pending\"===this._state&&n.dist(this._mouseDownPos)<this._clickTolerance||(this._lastMoveEvent=e,this._lastPos=n,this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),this._lastPos]),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"dragstart\",e),this._fireEvent(\"movestart\",e)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},_n.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._prevPos),this._lastPos),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._prevPos=this._lastPos,delete this._lastMoveEvent}},_n.prototype._onMouseUp=function(t){if(0===r.mouseButton(t))switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onTouchEnd=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._unbind=function(){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onTouchEnd),r.removeEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.removeEventListener(t.window.document,\"mouseup\",this._onMouseUp),r.removeEventListener(t.window,\"blur\",this._onBlur)},_n.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._mouseDownPos,delete this._lastPos},_n.prototype._inertialPan=function(t){this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent(\"moveend\",t);else{var r=e[e.length-1],n=e[0],a=r[1].sub(n[1]),i=(r[0]-n[0])/1e3;if(0===i||r[1].equals(n[1]))this._fireEvent(\"moveend\",t);else{var o=a.mult(.3/i),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:bn,noMoveStart:!0},{originalEvent:t})}}},_n.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_n.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var wn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onKeyDown\"],this)};function kn(t){return t*(2-t)}wn.prototype.isEnabled=function(){return!!this._enabled},wn.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},wn.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},wn.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,r=0,n=0,a=0,i=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),i=-1);break;case 40:t.shiftKey?n=-1:(i=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:kn,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-a,100*-i],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var Tn=function(e){this._map=e,t.bindAll([\"_onDblClick\",\"_onZoomEnd\"],this)};Tn.prototype.isEnabled=function(){return!!this._enabled},Tn.prototype.isActive=function(){return!!this._active},Tn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Tn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Tn.prototype.onTouchStart=function(t){var e=this;if(this.isEnabled()&&!(t.points.length>1))if(this._tapped){var r=t.points[0],n=this._tappedPoint;if(n&&n.dist(r)<=30){t.originalEvent.preventDefault();var a=function(){e._tapped&&e._zoom(t),e._map.off(\"touchcancel\",i),e._resetTapped()},i=function(){e._map.off(\"touchend\",a),e._resetTapped()};this._map.once(\"touchend\",a),this._map.once(\"touchcancel\",i)}else this._resetTapped()}else this._tappedPoint=t.points[0],this._tapped=setTimeout(function(){e._tapped=null,e._tappedPoint=null},300)},Tn.prototype._resetTapped=function(){clearTimeout(this._tapped),this._tapped=null,this._tappedPoint=null},Tn.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},Tn.prototype._zoom=function(t){this._active=!0,this._map.on(\"zoomend\",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},Tn.prototype._onZoomEnd=function(){this._active=!1,this._map.off(\"zoomend\",this._onZoomEnd)};var Mn=t.bezier(0,0,.15,1),An=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onMove\",\"_onEnd\",\"_onTouchFrame\"],this)};An.prototype.isEnabled=function(){return!!this._enabled},An.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)},An.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!1)},An.prototype.disableRotation=function(){this._rotationDisabled=!0},An.prototype.enableRotation=function(){this._rotationDisabled=!1},An.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var n=r.mousePos(this._el,e.touches[0]),a=r.mousePos(this._el,e.touches[1]),i=n.add(a).div(2);this._startVec=n.sub(a),this._startAround=this._map.transform.pointLocation(i),this._gestureIntent=void 0,this._inertia=[],r.addEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onEnd)}},An.prototype._getTouchEventData=function(t){var e=r.mousePos(this._el,t.touches[0]),n=r.mousePos(this._el,t.touches[1]),a=e.sub(n);return{vec:a,center:e.add(n).div(2),scale:a.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI}},An.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,a=r.scale,i=r.bearing;if(!this._gestureIntent){var o=this._rotationDisabled&&1!==a||Math.abs(1-a)>.15;Math.abs(i)>10?this._gestureIntent=\"rotate\":o&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+\"start\",{originalEvent:e})),this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},An.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),a=n.center,i=n.bearing,o=n.scale,s=r.pointLocation(a),l=r.locationPoint(s);\"rotate\"===e&&(r.bearing=this._startBearing+i),r.zoom=r.scaleZoom(this._startScale*o),r.setLocationAtPoint(this._startAround,l),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),o,a])}},An.prototype._onEnd=function(e){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onEnd);var n=this._gestureIntent,a=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,n){this._map.fire(new t.Event(n+\"end\",{originalEvent:e})),this._drainInertiaBuffer();var i=this._inertia,o=this._map;if(i.length<2)o.snapToNorth({},{originalEvent:e});else{var s=i[i.length-1],l=i[0],c=o.transform.scaleZoom(a*s[1]),u=o.transform.scaleZoom(a*l[1]),h=c-u,f=(s[0]-l[0])/1e3,p=s[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),v=c+d*g/2e3;v<0&&(v=0),o.easeTo({zoom:v,duration:g,easing:Mn,around:this._aroundCenter?o.getCenter():o.unproject(p),noMoveStart:!0},{originalEvent:e})}else o.snapToNorth({},{originalEvent:e})}}},An.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>2&&r-e[0][0]>160;)e.shift()};var Sn={scrollZoom:vn,boxZoom:mn,dragRotate:xn,dragPan:_n,keyboard:wn,doubleClickZoom:Tn,touchZoomRotate:An},En=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){if(\"number\"==typeof(a=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var i=a.padding;a.padding={top:i,bottom:i,right:i,left:i}}if(t.deepEqual(Object.keys(a.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),[\"bottom\",\"left\",\"right\",\"top\"])){var o=this.transform,s=o.project(t.LngLat.convert(e)),l=o.project(t.LngLat.convert(r)),c=s.rotate(-n*Math.PI/180),u=l.rotate(-n*Math.PI/180),h=new t.Point(Math.max(c.x,u.x),Math.max(c.y,u.y)),f=new t.Point(Math.min(c.x,u.x),Math.min(c.y,u.y)),p=h.sub(f),d=(o.width-a.padding.left-a.padding.right)/p.x,g=(o.height-a.padding.top-a.padding.bottom)/p.y;if(!(g<0||d<0)){var v=Math.min(o.scaleZoom(o.scale*Math.min(d,g)),a.maxZoom),m=t.Point.convert(a.offset),y=(a.padding.left-a.padding.right)/2,x=(a.padding.top-a.padding.bottom)/2,b=new t.Point(m.x+y,m.y+x).mult(o.scale/o.zoomScale(v));return{center:o.unproject(s.add(l).div(2).sub(b)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")}else t.warnOnce(\"options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(r=t.extend(e,r)).linear?this.easeTo(r,n):this.flyTo(r,n):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this.stop(),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?+e.zoom:i,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,u=\"pitch\"in e?+e.pitch:s,h=a.centerPoint.add(t.Point.convert(e.offset)),f=a.pointLocation(h),p=t.LngLat.convert(e.center||f);this._normalizeCenter(p);var d,g,v=a.project(f),m=a.project(p).sub(v),y=a.zoomScale(l-i);return e.around&&(d=t.LngLat.convert(e.around),g=a.locationPoint(d)),this._zooming=l!==i,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(a.zoom=t.number(i,l,e)),n._rotating&&(a.bearing=t.number(o,c,e)),n._pitching&&(a.pitch=t.number(s,u,e)),d)a.setLocationAtPoint(d,g);else{var f=a.zoomScale(a.zoom-i),p=l>i?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=a.unproject(v.add(m.mult(e*x)).mult(f));a.setLocationAtPoint(a.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event(\"movestart\",e)),this._zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e){var r=this._zooming,n=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event(\"zoomend\",e)),n&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))},r.prototype.flyTo=function(e,r){var n=this;if(t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,u=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,f=i.zoomScale(c-o),p=i.centerPoint.add(t.Point.convert(e.offset)),d=i.pointLocation(p),g=t.LngLat.convert(e.center||d);this._normalizeCenter(g);var v=i.project(d),m=i.project(g).sub(v),y=e.curve,x=Math.max(i.width,i.height),b=x/f,_=m.mag();if(\"minZoom\"in e){var w=t.clamp(Math.min(e.minZoom,o,c),i.minZoom,i.maxZoom),k=x/i.zoomScale(w-o);y=Math.sqrt(k/_*2)}var T=y*y;function M(t){var e=(b*b-x*x+(t?-1:1)*T*T*_*_)/(2*(t?b:x)*T*_);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function S(t){return(Math.exp(t)+Math.exp(-t))/2}var E=M(0),L=function(t){return S(E)/S(E+y*t)},C=function(t){return x*((S(E)*(A(e=E+y*t)/S(e))-A(E))/T)/_;var e},P=(M(1)-E)/y;if(Math.abs(_)<1e-6||!isFinite(P)){if(Math.abs(x-b)<1e-6)return this.easeTo(e,r);var O=b<x?-1:1;P=Math.abs(Math.log(b/x))/y,C=function(){return 0},L=function(t){return Math.exp(O*y*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var z=\"screenSpeed\"in e?+e.screenSpeed/y:+e.speed;e.duration=1e3*P/z}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._prepareEase(r,!1),this._ease(function(e){var a=e*P,f=1/L(a);i.zoom=1===e?c:o+i.scaleZoom(f),n._rotating&&(i.bearing=t.number(s,u,e)),n._pitching&&(i.pitch=t.number(l,h,e));var d=1===e?g:i.unproject(v.add(m.mult(C(a))).mult(f));i.setLocationAtPoint(i.renderWorldCopies?d.wrap():d,p),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ln=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ln.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ln.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ln.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0},Ln.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce(function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t},\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Ln.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ln.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map(function(t){return\"string\"!=typeof t?\"\":t})):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort(function(t,e){return t.length-e.length});var o=(t=t.filter(function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0})).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ln.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Cn=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Cn.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",\"Mapbox logo\"),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Cn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Cn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Cn.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Cn.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Cn.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Pn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Pn.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Pn.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},Pn.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Pn.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var On=t.window.HTMLImageElement,zn=t.window.HTMLElement,In={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,clickTolerance:3,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Dn=function(n){function a(e){var a=this;if(null!=(e=t.extend({},In,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than minZoom\");var i=new un(e.minZoom,e.maxZoom,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Pn,this._controls=[],this._mapId=t.uniqueId(),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof zn))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return a._update(!1)}),this.on(\"moveend\",function(){return a._update(!1)}),this.on(\"zoom\",function(){return a._update(!0)}),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),function(t,e){var n=t.getCanvasContainer(),a=null,i=!1,o=null;for(var s in Sn)t[s]=new Sn[s](t,e),e.interactive&&e[s]&&t[s].enable(e[s]);r.addEventListener(n,\"mouseout\",function(e){t.fire(new pn(\"mouseout\",t,e))}),r.addEventListener(n,\"mousedown\",function(a){i=!0,o=r.mousePos(n,a);var s=new pn(\"mousedown\",t,a);t.fire(s),s.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(a),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(a),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(a))}),r.addEventListener(n,\"mouseup\",function(e){var r=t.dragRotate.isActive();a&&!r&&t.fire(new pn(\"contextmenu\",t,a)),a=null,i=!1,t.fire(new pn(\"mouseup\",t,e))}),r.addEventListener(n,\"mousemove\",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mousemove\",t,e))}}),r.addEventListener(n,\"mouseover\",function(e){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mouseover\",t,e))}),r.addEventListener(n,\"touchstart\",function(r){var n=new dn(\"touchstart\",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),r.addEventListener(n,\"touchmove\",function(e){t.fire(new dn(\"touchmove\",t,e))},{passive:!1}),r.addEventListener(n,\"touchend\",function(e){t.fire(new dn(\"touchend\",t,e))}),r.addEventListener(n,\"touchcancel\",function(e){t.fire(new dn(\"touchcancel\",t,e))}),r.addEventListener(n,\"click\",function(a){var i=r.mousePos(n,a);(!o||i.equals(o)||i.dist(o)<e.clickTolerance)&&t.fire(new pn(\"click\",t,a))}),r.addEventListener(n,\"dblclick\",function(e){var r=new pn(\"dblclick\",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),r.addEventListener(n,\"contextmenu\",function(e){var r=t.dragRotate.isActive();i||r?i&&(a=e):t.fire(new pn(\"contextmenu\",t,e)),(t.dragRotate.isEnabled()||t.listens(\"contextmenu\"))&&e.preventDefault()}),r.addEventListener(n,\"wheel\",function(r){e.interactive&&t.stop();var n=new gn(\"wheel\",t,r);t.fire(n),n.defaultPrevented||t.scrollZoom.onWheel(r)},{passive:!1})}(this,e),this._hash=e.hash&&(new fn).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ln({customAttribution:e.customAttribution})),this.addControl(new Cn,e.logoPosition),this.on(\"style.load\",function(){a.transform.unmodified&&a.jumpTo(a.style.stylesheet)}),this.on(\"data\",function(e){a._update(\"style\"===e.dataType),a.fire(new t.Event(e.dataType+\"data\",e))}),this.on(\"dataloading\",function(e){a.fire(new t.Event(e.dataType+\"dataloading\",e))})}n&&(a.__proto__=n),a.prototype=Object.create(n&&n.prototype),a.prototype.constructor=a;var i={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];return this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e)).fire(new t.Event(\"resize\",e)).fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},a.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},a.prototype.on=function(t,e,r){var a=this;if(void 0===r)return n.prototype.on.call(this,t,e);var i=function(){var n;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new pn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new pn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new pn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}}();for(var o in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(o,i.delegates[o]);return this},a.prototype.off=function(t,e,r){if(void 0===r)return n.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var a=this._delegatedListeners[t],i=0;i<a.length;i++){var o=a[i];if(o.layer===e&&o.listener===r){for(var s in o.delegates)this.off(s,o.delegates[s]);return a.splice(i,1),this}}return this},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Re(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)})}else\"object\"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;if(void 0===i&&(i=!1),r instanceof On){var o=t.browser.getImageData(r),s=o.width,l=o.height,c=o.data;this.style.addImage(e,{data:new t.RGBAImage({width:s,height:l},c),pixelRatio:a,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r.width,h=r.height,f=r.data,p=r;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},new Uint8Array(f)),pixelRatio:a,sdf:i,version:0,userImage:p}),p.onAdd&&p.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var a=r instanceof On?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;if(void 0===i||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(i!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof On);n.data.replace(s,l),this.style.updateImage(e,n)},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.style.position=\"absolute\",this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)})},a.prototype._resizeCanvas=function(e,r){var n=t.window.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new on(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(){this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=t.browser.now();this.style.zoomHistory.update(r,n);var a=new t.EvaluationParameters(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),i=a.crossFadingFactor();1===i&&i===this._crossFadingFactor||(e=!0,this._crossFadingFactor=i),this.style.update(a)}return this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),this},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Rn(this._canvasContainer),Rn(this._controlContainer),Rn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(){e._frame=null,e._render()}))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(){this._trackResize&&this.resize()._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(En);function Rn(t){t.parentNode&&t.parentNode.removeChild(t)}var Fn={showCompass:!0,showZoom:!0,visualizePitch:!1},Bn=function(e){var n=this;this.options=t.extend({},Fn,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this.options.showZoom&&(t.bindAll([\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in\",\"Zoom in\",function(){return n._map.zoomIn()}),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out\",\"Zoom out\",function(){return n._map.zoomOut()})),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-compass\",\"Reset bearing to north\",function(){n.options.visualizePitch?n._map.resetNorthPitch():n._map.resetNorth()}),this._compassArrow=r.create(\"span\",\"mapboxgl-ctrl-compass-arrow\",this._compass))};function Nn(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Bn.prototype._updateZoomButtons=function(){var t=this._map.getZoom();t===this._map.getMaxZoom()?this._zoomInButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomInButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\"),t===this._map.getMinZoom()?this._zoomOutButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomOutButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\")},Bn.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t},Bn.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new xn(t,{button:\"left\",element:this._compass}),r.addEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.addEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.enable()),this._container},Bn.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),r.removeEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.removeEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.disable(),delete this._handler),delete this._map},Bn.prototype._createButton=function(t,e,n){var a=r.create(\"button\",t,this._container);return a.type=\"button\",a.title=e,a.setAttribute(\"aria-label\",e),a.addEventListener(\"click\",n),a};var jn={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Vn(t,e,r){var n=t.classList;for(var a in jn)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Un,qn=function(e){function n(n,a){if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\");var i=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");i.setAttributeNS(null,\"display\",\"block\"),i.setAttributeNS(null,\"height\",\"41px\"),i.setAttributeNS(null,\"width\",\"27px\"),i.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,u=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(v);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),y.appendChild(x),y.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(g),s.appendChild(m),s.appendChild(y),i.appendChild(s),this._element.appendChild(i),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(t){t.preventDefault()}),Vn(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat)}return this},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=Nn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,jn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px)\"))},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n}(t.Evented),Hn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},Gn=function(e){function n(r){e.call(this),this.options=t.extend({},Hn,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Un?n(Un):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then(function(t){Un=\"denied\"!==t.state,n(Un)}):(Un=!!t.window.navigator.geolocation,n(Un)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),r.remove(this._container),this._map=void 0},n.prototype._onSuccess=function(e){if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},n.prototype._onError=function(e){if(this.options.trackUserLocation)if(1===e.code)this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),void 0!==this._geolocationWatchID&&this._clearWatch();else switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;!1!==e?(this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.setAttribute(\"aria-label\",\"Geolocate\"),this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qn(this._dotElement),this.options.trackUserLocation&&(this._watchState=\"OFF\")),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))})):t.warnOnce(\"Geolocation support is not available, the GeolocateControl will not be visible.\")},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Yn={maxWidth:100,unit:\"metric\"},Wn=function(e){this.options=t.extend({},Yn,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Xn(t,e,r){var n,a,i,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),a=t.unproject([c,u]),i=Math.PI/180,o=n.lat*i,s=a.lat*i,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((a.lng-n.lng)*i),6371e3*Math.acos(Math.min(l,1)));if(r&&\"imperial\"===r.unit){var f=3.2808*h;f>5280?Zn(e,c,f/5280,\"mi\"):Zn(e,c,f,\"ft\")}else r&&\"nautical\"===r.unit?Zn(e,c,h/1852,\"nm\"):Zn(e,c,h,\"m\")}function Zn(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;\"m\"===n&&s>=1e3&&(s/=1e3,n=\"km\"),t.style.width=e*l+\"px\",t.innerHTML=s+n}Wn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Wn.prototype._onMove=function(){Xn(this._map,this._container,this.options)},Wn.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Wn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Wn.prototype.setUnit=function(t){this.options.unit=t,Xn(this._map,this._container,this.options)};var Jn=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\"),this._className=\"mapboxgl-ctrl\"};Jn.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",this._className+\" mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Jn.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Jn.prototype._setupUI=function(){(this._fullscreenButton=r.create(\"button\",this._className+\"-icon \"+this._className+\"-fullscreen\",this._controlContainer)).type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._updateTitle=function(){var t=this._isFullscreen()?\"Exit fullscreen\":\"Enter fullscreen\";this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Jn.prototype._isFullscreen=function(){return this._fullscreen},Jn.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(this._className+\"-shrink\"),this._fullscreenButton.classList.toggle(this._className+\"-fullscreen\"),this._updateTitle())},Jn.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Kn={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Qn=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Kn),r),t.bindAll([\"_update\",\"_onClickClose\",\"remove\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){var r=this;return this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",function(t){r._update(t.point)}),this._map.on(\"mouseup\",function(t){r._update(t.point)}),this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\"),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\"),this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){var t=this;return 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n=t(\"color-normalize\"),a=t(\"array-bounds\"),i=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),h=t(\"to-float32\"),f=h.float32,p=h.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},a=t(i({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(i({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach(function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold?t.shaders.rect(e):\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))}),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach(function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth 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r}(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance\")}()}function a(t){return function(t){if(Array.isArray(t)){for(var e=0,r=new Array(t.length);e<t.length;e++)r[e]=t[e];return r}}(t)||function(t){if(Symbol.iterator in Object(t)||\"[object Arguments]\"===Object.prototype.toString.call(t))return Array.from(t)}(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance\")}()}var i=t(\"color-normalize\"),o=t(\"array-bounds\"),s=t(\"color-id\"),l=t(\"point-cluster\"),c=t(\"object-assign\"),u=t(\"glslify\"),h=t(\"pick-by-alias\"),f=t(\"update-diff\"),p=t(\"flatten-vertex-data\"),d=t(\"is-iexplorer\"),g=t(\"to-float32\"),v=t(\"parse-rect\"),m=y;function y(t,e){var r=this;if(!(this instanceof y))return new y(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=d,n=t.texture({data:new 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borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pixelRatio;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),d&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}y.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},y.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},y.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach(function(e,r){t.drawItem(r)});return this},y.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},y.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;this.regl;if(!i)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),g=0;g<r.length;g++){var v=r[g];d[v]=p?p[v]:1}l.subdata(d)}for(var m=f.length;m--;){var y=n(f[m],2),x=y[0],b=y[1];h.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return h},y.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,s=this.regl,u=this.maxSize,d=this.maxColors,m=this.palette;this.groups=a=r.map(function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data 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t.x.length?e.xAttr={buffer:s.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:s.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=p(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?o(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=l(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=s.elements(f)}return a({data:g.float(t),usage:\"dynamic\"}),i({data:g.fract(t),usage:\"dynamic\"}),c({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach(function(t){return 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this.groups.forEach(function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(t){return t&&t.destroy&&t.destroy()}),this};var x=t(\"object-assign\");e.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return x(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"array-bounds\":68,\"color-id\":120,\"color-normalize\":122,\"flatten-vertex-data\":230,glslify:411,\"is-iexplorer\":421,\"object-assign\":456,\"parse-rect\":461,\"pick-by-alias\":467,\"point-cluster\":471,\"to-float32\":537,\"update-diff\":548}],500:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"pick-by-alias\"),i=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,a,i,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],a=s[3]):s.length?(n=s[0],a=s[1]):(s.x,n=s.y,s.x+s.width,a=s.y+s.height),l.length>2?(i=l[0],o=l[2],l[1],l[3]):l.length?(i=l[0],o=l[1]):(i=l.x,l.y,o=l.x+l.width,l.y+l.height),[i,n,o,a]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return 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f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var v=c(s,l,h);s/=v,l/=v,h/=v}var m,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,k=c(x-=s*w,b-=l*w,_-=h*w),T=l*(_/=k)-h*(b/=k),M=h*(x/=k)-s*_,A=s*b-l*x,S=c(T,M,A);if(T/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,O=E*T+L*M+C*A;m=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(O,P)}else{var z=e[2],I=e[6],D=e[10],R=z*s+I*l+D*h,F=z*x+I*b+D*_,B=z*T+I*M+D*A;m=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,m),this.recalcMatrix(t);var N=e[2],j=e[6],V=e[10],U=this.computedMatrix;a(U,e);var q=U[15],H=U[12]/q,G=U[13]/q,Y=U[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-V*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var a=(n=n||this.computedUp)[0],i=n[1],o=n[2],s=c(a,i,o);if(!(s<1e-6)){a/=s,i/=s,o/=s;var l=e[0]-r[0],h=e[1]-r[1],f=e[2]-r[2],p=c(l,h,f);if(!(p<1e-6)){l/=p,h/=p,f/=p;var d=this.computedRight,g=d[0],v=d[1],m=d[2],y=a*g+i*v+o*m,x=c(g-=y*a,v-=y*i,m-=y*o);if(!(x<.01&&(x=c(g=i*f-o*h,v=o*l-a*f,m=a*h-i*l))<1e-6)){g/=x,v/=x,m/=x,this.up.set(t,a,i,o),this.right.set(t,g,v,m),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=i*m-o*v,_=o*g-a*m,w=a*v-i*g,k=c(b,_,w),T=a*l+i*h+o*f,M=g*l+v*h+m*f,A=(b/=k)*l+(_/=k)*h+(w/=k)*f,S=Math.asin(u(T)),E=Math.atan2(A,M),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var O=Math.abs(C+2*Math.PI-E),z=Math.abs(C-E),I=Math.abs(C-2*Math.PI-E);O<z&&(C+=2*Math.PI),I<z&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":229,\"gl-mat4/invert\":268,\"gl-mat4/rotate\":273,\"gl-vec3/cross\":336,\"gl-vec3/dot\":341,\"gl-vec3/normalize\":358}],542:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var a=t*e,i=n*t,o=i-(i-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,h=s*u-(a-o*c-s*c-o*u);if(r)return r[0]=h,r[1]=a,r;return[h,a]};var n=+(Math.pow(2,27)+1)},{}],543:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,a=n-t,i=e-a,o=t-(n-a);if(r)return r[0]=o+i,r[1]=n,r;return[o+i,n]}},{}],544:[function(t,e,r){(function(e,n){\"use strict\";var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":570,\"object-assign\":456}],558:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":570,\"object-assign\":456}],559:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.ethiopian=i},{\"../main\":570,\"object-assign\":456}],560:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=i},{\"../main\":570,\"object-assign\":456}],562:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":570,\"object-assign\":456}],563:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":570,\"object-assign\":456}],565:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2000:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":570,\"object-assign\":456}],567:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":570,\"object-assign\":456}],568:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":570,\"object-assign\":456}],569:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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n=z.select(\".annotation-text-math-group\"),u=!n.empty(),d=c.bBox((u?n:U).node()),m=d.width,y=d.height,w=e.width||m,O=e.height||y,D=Math.round(w+2*R),j=Math.round(O+2*R);function V(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var H=!1,G=[\"x\",\"y\"],Y=0;Y<G.length;Y++){var W,X,Z,J,K,Q=G[Y],$=e[Q+\"ref\"]||Q,tt=e[\"a\"+Q+\"ref\"],et={x:s,y:v}[Q],rt=(E+(\"x\"===Q?0:-90))*Math.PI/180,nt=D*Math.cos(rt),at=j*Math.sin(rt),it=Math.abs(nt)+Math.abs(at),ot=e[Q+\"anchor\"],st=e[Q+\"shift\"]*(\"x\"===Q?1:-1),lt=S[Q];if(et){var ct=et.r2fraction(e[Q]);(ct<0||ct>1)&&(tt===$?((ct=et.r2fraction(e[\"a\"+Q]))<0||ct>1)&&(H=!0):H=!0),W=et._offset+et.r2p(e[Q]),J=.5}else\"x\"===Q?(Z=e[Q],W=b.l+b.w*Z):(Z=1-e[Q],W=b.t+b.h*Z),J=e.showarrow?.5:Z;if(e.showarrow){lt.head=W;var ut=e[\"a\"+Q];K=nt*V(.5,e.xanchor)-at*V(.5,e.yanchor),tt===$?(lt.tail=et._offset+et.r2p(ut),X=K):(lt.tail=W+ut,X=K+ut),lt.text=lt.tail+K;var 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yt,xt=function(r,n){L.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,m=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,m,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),O=+F.attr(\"height\"),I=m-.5*P,D=I+P,R=y-.5*O,B=R+O,N=[[I,R,I,B],[I,B,D,B],[D,B,D,R],[D,R,I,R]].map(A);if(!N.reduce(function(t,e){return t^!!o.segmentsIntersect(u,h,u+1e6,h+1e6,e[0],e[1],e[2],e[3])},!1)){N.forEach(function(t){var e=o.segmentsIntersect(f,d,u,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,d=e.y)});var j=e.arrowwidth,V=e.arrowcolor,U=e.arrowside,q=L.append(\"g\").style({opacity:l.opacity(V)}).classed(\"annotation-arrow-g\",!0),H=q.append(\"path\").attr(\"d\",\"M\"+f+\",\"+d+\"L\"+u+\",\"+h).style(\"stroke-width\",j+\"px\").call(l.stroke,l.rgb(V));if(g(H,U,e),_.annotationPosition&&H.node().parentNode&&!i){var G=u,Y=h;if(e.standoff){var W=Math.sqrt(Math.pow(u-f,2)+Math.pow(h-d,2));G+=e.standoff*(f-u)/W,Y+=e.standoff*(d-h)/W}var X,Z,J=q.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-G)+\",\"+(d-Y),transform:\"translate(\"+G+\",\"+Y+\")\"}).style(\"stroke-width\",j+6+\"px\").call(l.stroke,\"rgba(0,0,0,0)\").call(l.fill,\"rgba(0,0,0,0)\");p.init({element:J.node(),gd:t,prepFn:function(){var t=c.getTranslate(z);X=t.x,Z=t.y,s&&s.autorange&&k(s._name+\".autorange\",!0),v&&v.autorange&&k(v._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(X,Z),a=n[0]+t,i=n[1]+r;z.call(c.setTranslate,a,i),T(\"x\",s?s.p2r(s.r2p(e.x)+t):e.x+t/b.w),T(\"y\",v?v.p2r(v.r2p(e.y)+r):e.y-r/b.h),e.axref===e.xref&&T(\"ax\",s.p2r(s.r2p(e.ax)+t)),e.ayref===e.yref&&T(\"ay\",v.p2r(v.r2p(e.ay)+r)),q.attr(\"transform\",\"translate(\"+t+\",\"+r+\")\"),C.attr({transform:\"rotate(\"+E+\",\"+a+\",\"+i+\")\"})},doneFn:function(){a.call(\"_guiRelayout\",t,M());var 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h=d.width;i=\"M\"+(r.x-h)+\",\"+r.yh+\"h\"+2*h+\"m-\"+h+\",0V\"+r.ys,r.noYS||(i+=\"m-\"+h+\",0h\"+2*h),!o.size()?o=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"yerror\",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr(\"d\",i)}else o.remove();var f=e.select(\"path.xerror\");if(p.visible&&a(r.y)&&a(r.xh)&&a(r.xs)){var v=(p.copy_ystyle?d:p).width;i=\"M\"+r.xh+\",\"+(r.y-v)+\"v\"+2*v+\"m0,-\"+v+\"H\"+r.xs,r.noXS||(i+=\"m0,-\"+v+\"v\"+2*v),!f.size()?f=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"xerror\",!0):u&&(f=f.transition().duration(s.duration).ease(s.easing)),f.attr(\"d\",i)}else f.remove()}})}})}},{\"../../traces/scatter/subtypes\":1144,\"../drawing\":613,d3:165,\"fast-isnumeric\":228}],621:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../color\");e.exports=function(t){t.each(function(t){var e=t[0].trace,r=e.error_y||{},i=e.error_x||{},o=n.select(this);o.selectAll(\"path.yerror\").style(\"stroke-width\",r.thickness+\"px\").call(a.stroke,r.color),i.copy_ystyle&&(i=r),o.selectAll(\"path.xerror\").style(\"stroke-width\",i.thickness+\"px\").call(a.stroke,i.color)})}},{\"../color\":592,d3:165}],622:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),a=t(\"./layout_attributes\").hoverlabel,i=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:i({},a.bgcolor,{arrayOk:!0}),bordercolor:i({},a.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:i({},a.align,{arrayOk:!0}),namelength:i({},a.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":708,\"../../plots/font_attributes\":791,\"./layout_attributes\":631}],623:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\");function i(t,e,r,a){a=a||n.identity,Array.isArray(t)&&(e[0][r]=a(t))}e.exports=function(t){var 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0!==r&&a(t,e,r,!0),t._hoverdata&&e&&e.target&&(i&&i.then?i.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},{\"../../registry\":846,\"./hover\":628}],625:[function(t,e,r){\"use strict\";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},{}],626:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"./hoverlabel_defaults\");e.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),i(t,e,function(r,i){return n.coerce(t,e,a,r,i)},s)}},{\"../../lib\":717,\"./attributes\":622,\"./hoverlabel_defaults\":629}],627:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(\"splom\"===t.type){for(var n=t.xaxes||[],a=t.yaxes||[],i=0;i<n.length;i++)for(var o=0;o<a.length;o++)if(-1!==e.indexOf(n[i]+a[o]))return!0;return!1}return-1!==e.indexOf(r.getSubplot(t))},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,n,a){return\"closest\"===t?a||r.quadrature(e,n):\"x\"===t?e:n},r.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var a=e(t[n]);a<=r.distance&&(r.index=n,r.distance=a)}return r},r.inbox=function(t,e,r){return t*e<0||0===t?r:1/0},r.quadrature=function(t,e){return function(r){var n=t(r),a=e(r);return Math.sqrt(n*n+a*a)}},r.makeEventData=function(t,e,n){var a=\"index\"in t?t.index:t.pointNumber,i={data:e._input,fullData:e,curveNumber:e.index,pointNumber:a};if(e._indexToPoints){var o=e._indexToPoints[a];1===o.length?i.pointIndex=o[0]:i.pointIndices=o}else i.pointIndex=a;return 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a=t.map(function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}}),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=M(a,s,e.gd),c=0,u=0;return l.sort(function(t,e){return t.y0-e.y0}).each(function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)}).each(function(t){t.offset-=u}),A(l,s.rotateLabels),r?l:l.node()};var T=/<extra>([\\s\\S]*)<\\/extra>/;function M(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},g=e.fontFamily||v.HOVERFONT,y=e.fontSize||v.HOVERFONTSIZE,x=t[0],b=x.xa,_=x.ya,M=\"y\"===i?\"yLabel\":\"xLabel\",A=x[M],S=(String(A)||\"\").split(\" \")[0],E=p.node().getBoundingClientRect(),L=E.top,P=E.width,O=E.height,z=void 0!==A&&x.distance<=e.hoverdistance&&(\"x\"===i||\"y\"===i);if(z){var I,D,R=!0;for(I=0;I<t.length;I++)if(R&&void 0===t[I].zLabel&&(R=!1),D=t[I].hoverinfo||t[I].trace.hoverinfo){var F=Array.isArray(D)?D:D.split(\"+\");if(-1===F.indexOf(\"all\")&&-1===F.indexOf(i)){z=!1;break}}R&&(z=!1)}var B=f.selectAll(\"g.axistext\").data(z?[0]:[]);B.enter().append(\"g\").classed(\"axistext\",!0),B.exit().remove(),B.each(function(){var 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O=C.width/2+k;T<O?(T=O,s.attr(\"d\",\"M-\"+(O-w)+\",0L-\"+(O-2*w)+\",\"+P+w+\"H\"+(k+C.width/2)+\"v\"+P+(2*k+C.height)+\"H-\"+O+\"V\"+P+w+\"Z\")):T>a.width-O?(T=a.width-O,s.attr(\"d\",\"M\"+(O-w)+\",0L\"+O+\",\"+P+w+\"v\"+P+(2*k+C.height)+\"H-\"+O+\"V\"+P+w+\"H\"+(O-2*w)+\"Z\")):s.attr(\"d\",\"M0,0L\"+w+\",\"+P+w+\"H\"+(k+C.width/2)+\"v\"+P+(2*k+C.height)+\"H-\"+(k+C.width/2)+\"V\"+P+w+\"H-\"+w+\"Z\")}else{var z,I,D;\"right\"===_.side?(z=\"start\",I=1,D=\"\",T=b._offset+b._length):(z=\"end\",I=-1,D=\"-\",T=b._offset),E=_._offset+(x.y0+x.y1)/2,c.attr(\"text-anchor\",z),s.attr(\"d\",\"M0,0L\"+D+w+\",\"+w+\"V\"+(k+C.height/2)+\"h\"+D+(2*k+C.width)+\"V-\"+(k+C.height/2)+\"H\"+D+w+\"V-\"+w+\"Z\");var R,F=C.height/2,B=L-C.top-F,N=\"clip\"+a._uid+\"commonlabel\"+_._id;if(T<C.width+2*k+w){R=\"M-\"+(w+k)+\"-\"+F+\"h-\"+(C.width-k)+\"V\"+F+\"h\"+(C.width-k)+\"Z\";var j=C.width-T+k;l.positionText(c,j,B),\"end\"===z&&c.selectAll(\"tspan\").each(function(){var t=n.select(this),e=u.tester.append(\"text\").text(t.text()).call(u.font,m),r=e.node().getBoundingClientRect();Math.round(r.width)<Math.round(C.width)&&t.attr(\"x\",j-r.width),e.remove()})}else l.positionText(c,I*(k+w),B),R=null;var V=a._topclips.selectAll(\"#\"+N).data(R?[0]:[]);V.enter().append(\"clipPath\").attr(\"id\",N).append(\"path\"),V.exit().remove(),V.select(\"path\").attr(\"d\",R),u.setClipUrl(c,R?N:null,r)}e.attr(\"transform\",\"translate(\"+T+\",\"+E+\")\"),t=t.filter(function(t){return void 0!==t.zLabelVal||(t[M]||\"\").split(\" \")[0]===S})});var N=f.selectAll(\"g.hovertext\").data(t,function(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa,t.ya||\"\"].join(\",\")});return N.enter().append(\"g\").classed(\"hovertext\",!0).each(function(){var t=n.select(this);t.append(\"rect\").call(h.fill,h.addOpacity(c,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(u.font,g,y)}),N.exit().remove(),N.each(function(t){var e=n.select(this).attr(\"transform\",\"\"),f=\"\",p=\"\",d=t.bgcolor||t.color,v=h.combine(h.opacity(d)?d:h.defaultLine,c),x=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),b=t.borderColor||h.contrast(v);void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),f=C(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(p+=\"x: \"+t.xLabel+\"<br>\"),void 0!==t.yLabel&&(p+=\"y: \"+t.yLabel+\"<br>\"),\"choropleth\"!==t.trace.type&&\"choroplethmapbox\"!==t.trace.type&&(p+=(p?\"z: \":\"\")+t.zLabel)):z&&t[i+\"Label\"]===A?p=t[(\"x\"===i?\"y\":\"x\")+\"Label\"]||\"\":void 0===t.xLabel?void 0!==t.yLabel&&\"scattercarpet\"!==t.trace.type&&(p=t.yLabel):p=void 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N,j,V=I.node().getBoundingClientRect(),U=t.xa._offset+(t.x0+t.x1)/2,q=t.ya._offset+(t.y0+t.y1)/2,H=Math.abs(t.x1-t.x0),G=Math.abs(t.y1-t.y0),Y=V.width+w+k+R;if(t.ty0=L-V.top,t.bx=V.width+2*k,t.by=Math.max(V.height+2*k,F),t.anchor=\"start\",t.txwidth=V.width,t.tx2width=R,t.offset=0,s)t.pos=U,N=q+G/2+Y<=O,j=q-G/2-Y>=0,\"top\"!==t.idealAlign&&N||!j?N?(q+=G/2,t.anchor=\"start\"):t.anchor=\"middle\":(q-=G/2,t.anchor=\"end\");else if(t.pos=q,N=U+H/2+Y<=P,j=U-H/2-Y>=0,\"left\"!==t.idealAlign&&N||!j)if(N)U+=H/2,t.anchor=\"start\";else{t.anchor=\"middle\";var W=Y/2,X=U+W-P,Z=U-W;X>0&&(U-=X),Z<0&&(U+=-Z)}else U-=H/2,t.anchor=\"end\";I.attr(\"text-anchor\",t.anchor),R&&D.attr(\"text-anchor\",t.anchor),e.attr(\"transform\",\"translate(\"+U+\",\"+q+\")\"+(s?\"rotate(\"+m+\")\":\"\"))}),N}function A(t,e){t.each(function(t){var r=n.select(this);if(t.del)return r.remove();var a=r.select(\"text.nums\"),i=t.anchor,o=\"end\"===i?-1:1,s={start:1,end:-1,middle:0}[i],c=s*(w+k),h=c+s*(t.txwidth+k),f=0,p=t.offset;\"middle\"===i&&(c-=t.tx2width/2,h+=t.txwidth/2+k),e&&(p*=-_,f=t.offset*b),r.select(\"path\").attr(\"d\",\"middle\"===i?\"M-\"+(t.bx/2+t.tx2width/2)+\",\"+(p-t.by/2)+\"h\"+t.bx+\"v\"+t.by+\"h-\"+t.bx+\"Z\":\"M0,0L\"+(o*w+f)+\",\"+(w+p)+\"v\"+(t.by/2-w)+\"h\"+o*t.bx+\"v-\"+t.by+\"H\"+(o*w+f)+\"V\"+(p-w)+\"Z\");var d=c+f,g=p+t.ty0-t.by/2+k,v=t.textAlign||\"auto\";\"auto\"!==v&&(\"left\"===v&&\"start\"!==i?(a.attr(\"text-anchor\",\"start\"),d=\"middle\"===i?-t.bx/2-t.tx2width/2+k:-t.bx-k):\"right\"===v&&\"end\"!==i&&(a.attr(\"text-anchor\",\"end\"),d=\"middle\"===i?t.bx/2-t.tx2width/2-k:t.bx+k)),a.call(l.positionText,d,g),t.tx2width&&(r.select(\"text.name\").call(l.positionText,h+s*k+f,p+t.ty0-t.by/2+k),r.select(\"rect\").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))})}function S(t,e){var r=t.index,n=t.trace||{},i=t.cd[0],s=t.cd[r]||{};function l(t){return t||a(t)&&0===t}var c=Array.isArray(r)?function(t,e){var a=o.castOption(i,r,t);return l(a)?a:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var a=c(r,n);l(a)&&(t[e]=a)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in t?t.xLabel:p.hoverLabelText(t.xa,t.xLabelVal),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel=\"yLabel\"in t?t.yLabel:p.hoverLabelText(t.ya,t.yLabelVal),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var h=p.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+h+\" / -\"+p.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" \\xb1 \"+h,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var f=p.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+f+\" / -\"+p.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" \\xb1 \"+f,\"y\"===e&&(t.distance+=1)}var d=t.hoverinfo||t.trace.hoverinfo;return d&&\"all\"!==d&&(-1===(d=Array.isArray(d)?d:d.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===d.indexOf(\"y\")&&(t.yLabel=void 0),-1===d.indexOf(\"z\")&&(t.zLabel=void 0),-1===d.indexOf(\"text\")&&(t.text=void 0),-1===d.indexOf(\"name\")&&(t.name=void 0)),t}function E(t,e,r){var n,a,o=r.container,s=r.fullLayout,l=s._size,c=r.event,f=!!e.hLinePoint,d=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),d||f){var g=h.combine(s.plot_bgcolor,s.paper_bgcolor);if(f){var v,m,y=e.hLinePoint;n=y&&y.xa,\"cursor\"===(a=y&&y.ya).spikesnap?(v=c.pointerX,m=c.pointerY):(v=n._offset+y.x,m=a._offset+y.y);var x,b,_=i.readability(y.color,g)<1.5?h.contrast(g):y.color,w=a.spikemode,k=a.spikethickness,T=a.spikecolor||_,M=p.getPxPosition(t,a);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=M,b=v),-1!==w.indexOf(\"across\")){var A=a._counterDomainMin,S=a._counterDomainMax;\"free\"===a.anchor&&(A=Math.min(A,a.position),S=Math.max(S,a.position)),x=l.l+A*l.w,b=l.l+S*l.w}o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:m,y2:m,\"stroke-width\":k,stroke:T,\"stroke-dasharray\":u.dashStyle(a.spikedash,k)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:x,x2:b,y1:m,y2:m,\"stroke-width\":k+2,stroke:g}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==w.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:M+(\"right\"!==a.side?k:-k),cy:m,r:k,fill:T}).classed(\"spikeline\",!0)}if(d){var E,L,C=e.vLinePoint;n=C&&C.xa,a=C&&C.ya,\"cursor\"===n.spikesnap?(E=c.pointerX,L=c.pointerY):(E=n._offset+C.x,L=a._offset+C.y);var P,O,z=i.readability(C.color,g)<1.5?h.contrast(g):C.color,I=n.spikemode,D=n.spikethickness,R=n.spikecolor||z,F=p.getPxPosition(t,n);if(-1!==I.indexOf(\"toaxis\")||-1!==I.indexOf(\"across\")){if(-1!==I.indexOf(\"toaxis\")&&(P=F,O=L),-1!==I.indexOf(\"across\")){var B=n._counterDomainMin,N=n._counterDomainMax;\"free\"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,O=l.t+(1-B)*l.h}o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:O,\"stroke-width\":D,stroke:R,\"stroke-dasharray\":u.dashStyle(n.spikedash,D)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:O,\"stroke-width\":D+2,stroke:g}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==I.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:E,cy:F-(\"top\"!==n.side?D:-D),r:D,fill:R}).classed(\"spikeline\",!0)}}}function L(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}function C(t,e){return l.plainText(t||\"\",{len:e,allowedTags:[\"br\",\"sub\",\"sup\",\"b\",\"i\",\"em\"]})}},{\"../../lib\":717,\"../../lib/events\":707,\"../../lib/override_cursor\":728,\"../../lib/svg_text_utils\":741,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"../color\":592,\"../dragelement\":610,\"../drawing\":613,\"./constants\":625,\"./helpers\":627,d3:165,\"fast-isnumeric\":228,tinycolor2:536}],629:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e,r,a){r(\"hoverlabel.bgcolor\",(a=a||{}).bgcolor),r(\"hoverlabel.bordercolor\",a.bordercolor),r(\"hoverlabel.namelength\",a.namelength),n.coerceFont(r,\"hoverlabel.font\",a.font),r(\"hoverlabel.align\",a.align)}},{\"../../lib\":717}],630:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../dragelement\"),o=t(\"./helpers\"),s=t(\"./layout_attributes\"),l=t(\"./hover\");e.exports={moduleType:\"component\",name:\"fx\",constants:t(\"./constants\"),schema:{layout:s},attributes:t(\"./attributes\"),layoutAttributes:s,supplyLayoutGlobalDefaults:t(\"./layout_global_defaults\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return a.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return a.castOption(t,r,\"hoverinfo\",function(r){return a.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)})},hover:l.hover,unhover:i.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=a.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:t(\"./click\")}},{\"../../lib\":717,\"../dragelement\":610,\"./attributes\":622,\"./calc\":623,\"./click\":624,\"./constants\":625,\"./defaults\":626,\"./helpers\":627,\"./hover\":628,\"./layout_attributes\":631,\"./layout_defaults\":632,\"./layout_global_defaults\":633,d3:165}],631:[function(t,e,r){\"use strict\";var 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r=e.l2p(t.x),a=$(this),o=h.bBox(a.node());i.push({top:0,bottom:10,height:10,left:r-o.width/2,right:r+o.width/2+2,width:o.width+2})}),\"boundaries\"!==e.tickson&&!e.showdividers||r.secondary){var o=f.length,l=Math.abs((f[o-1].x-f[0].x)*e._m)/(o-1)<2.5*n||\"multicategory\"===e.type;for(t=0;t<i.length-1;t++)if(s.bBoxIntersect(i[t],i[t+1])){x=l?90:30;break}}else{var u=2;for(e.ticks&&(u+=e.tickwidth/2),t=0;t<i.length;t++){var p=f[t].xbnd,g=i[t];if(null!==p[0]&&g.left-e.l2p(p[0])<u||null!==p[1]&&e.l2p(p[1])-g.right<u){x=90;break}}}x&&y(v,x)}}),e._tickAngles&&b.push(function(){e._tickAngles[u]=null===x?a(d)?d:0:x});var _=s.syncOrAsync(b);return _&&_.then&&t._promises.push(_),_},E.getPxPosition=function(t,e){var r,n=t._fullLayout._size,a=e._id.charAt(0),i=e.side;return\"free\"!==e.anchor?r=e._anchorAxis:\"x\"===a?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:\"y\"===a&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),\"top\"===i||\"left\"===i?r._offset:\"bottom\"===i||\"right\"===i?r._offset+r._length:void 0},E.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&(\"linear\"===e.type||\"-\"===e.type)&&(Q(e,0)||!function(t,e,r,n){var a=r._mainAxis;if(!a)return;var i=t._fullLayout,o=e._id.charAt(0),s=E.counterLetter(e._id),l=e._offset+(Math.abs(n[0])<Math.abs(n[1])==(\"x\"===o)?0:e._length);function c(t){if(!t.showline||!t.linewidth)return!1;var r=Math.max((t.linewidth+e.zerolinewidth)/2,1);function n(t){return\"number\"==typeof t&&Math.abs(t-l)<r}if(n(t._mainLinePosition)||n(t._mainMirrorPosition))return!0;var a=t._linepositions||{};for(var i in a)if(n(a[i][0])||n(a[i][1]))return!0}var 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n._length*(n._rl[e]-a)/(n._rl[e]-n._rl[i])}}function Bt(t,e){for(var r=et.isSubplotConstrained?{x:Z,y:X}[t]:et[t+\"axes\"],n=et.isSubplotConstrained?{x:X,y:Z}[t]:[],a=0;a<r.length;a++){var i=r[a],o=i._id,s=et.xLinks[o]||et.yLinks[o],l=n[0]||Y[s]||W[s];l&&(e?(e[i._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[i._name+\".range[1]\"]=e[l._name+\".range[1]\"]):i.range=l.range.slice())}}function Nt(){var e,r=[];function n(t){for(e=0;e<t.length;e++)t[e].fixedrange||r.push(t[e]._id)}for(it&&(n(X),n(tt.xaxes),n(et.xaxes)),ot&&(n(Z),n(tt.yaxes),n(et.yaxes)),ut={},e=0;e<r.length;e++){var a=r[e],i=x(t,a);f.drawOne(t,i,{skipTitle:!0}),ut[i._name+\".range[0]\"]=i.range[0],ut[i._name+\".range[1]\"]=i.range[1]}f.redrawComponents(t,r)}function jt(){Vt([0,0,Q,$]),s.syncOrAsync([y.previousPromises,function(){t._fullLayout._replotting=!1,o.call(\"_guiRelayout\",t,ut)}],t)}function Vt(e){var 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T=a._offset-b/y,M=i._offset-_/x;n.clipRect.call(u.setTranslate,b,_).call(u.setScale,y,x),n.plot.call(u.setTranslate,T,M).call(u.setScale,1/y,1/x),y===n.xScaleFactor&&x===n.yScaleFactor||(u.setPointGroupScale(n.zoomScalePts,y,x),u.setTextPointsScale(n.zoomScaleTxt,y,x)),u.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=y,n.yScaleFactor=x}}}}function Ut(t,e,r){return t.fixedrange?0:it&&tt.xaHash[t._id]?e:ot&&(tt.isSubplotConstrained?tt.xaHash:tt.yaHash)[t._id]?r:0}function qt(t,e){return e?(t.range=t._r.slice(),k(t,e),Ht(t,e)):0}function Ht(t,e,r){return t._length*(1-e)*g[r||t.constraintoward||\"middle\"]}return S.length*E.length!=1&&q(vt,function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Et(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();dt(),clearTimeout(It);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),i=Rt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),o=(e.clientX-i.left)/i.width,l=(i.bottom-e.clientY)/i.height;if(it){for(E||(o=.5),n=0;n<X.length;n++)c(X[n],o,a);Bt(\"x\"),zt[2]*=a,zt[0]+=zt[2]*o*(1/a-1)}if(ot){for(S||(l=.5),n=0;n<Z.length;n++)c(Z[n],l,a);Bt(\"y\"),zt[3]*=a,zt[1]+=zt[3]*(1-l)*(1/a-1)}Vt(zt),Nt(),t.emit(\"plotly_relayouting\",ut),It=setTimeout(function(){zt=[0,0,Q,$],jt()},Dt),e.preventDefault()}else s.log(\"Did not find wheel motion attributes: \",e)}function c(t,e,r){if(!t.fixedrange){var n=s.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map(function(e){return t.l2r(a+(e-a)*r)})}}}),vt},makeDragger:E,makeRectDragger:L,makeZoombox:I,makeCorners:D,updateZoombox:R,xyCorners:V,transitionZoombox:F,removeZoombox:B,showDoubleClickNotifier:N,attachWheelEventHandler:q}},{\"../../components/color\":592,\"../../components/dragelement\":610,\"../../components/drawing\":613,\"../../components/fx\":630,\"../../constants/alignment\":686,\"../../lib\":717,\"../../lib/clear_gl_canvases\":702,\"../../lib/setcursor\":737,\"../../lib/svg_text_utils\":741,\"../../plot_api/subroutines\":756,\"../../registry\":846,\"../plots\":826,\"./axes\":765,\"./axis_ids\":768,\"./constants\":771,\"./scale_zoom\":781,\"./select\":782,d3:165,\"has-passive-events\":413,tinycolor2:536}],774:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/fx\"),i=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\"),a=r.split(\"y\");return n[0]===a[0]?Number(n[1]||1)-Number(a[1]||1):Number(n[0]||1)-Number(a[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]&&a.hover(t,e,r)},a.hover(t,e,r),t._fullLayout._lasthover=u,t._fullLayout._hoversubplot=r},u.onmouseout=function(e){t._dragging||(t._fullLayout._hoversubplot=null,i.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 h=o._mainLinePosition;\"top\"===o.side&&(h-=l),s(t,n,o._offset+.1*o._length,h,.8*o._length,l,\"\",\"ew\"),s(t,n,o._offset,h,.1*o._length,l,\"\",\"w\"),s(t,n,o._offset+.9*o._length,h,.1*o._length,l,\"\",\"e\")}if(r===c._mainSubplot){var 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r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener(\"touchmove\",function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener(\"touchend\",function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()},!!s&&{passive:!1}),c.wheelListener=a(e,function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0},!0),c}},{\"../cartesian/constants\":771,\"has-passive-events\":413,\"mouse-change\":437,\"mouse-event-offset\":438,\"mouse-wheel\":440}],802:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),a=t(\"../../lib/str2rgbarray\");function i(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=i.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).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[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf(\"all\"):!!i,h=c?\"allticks\"===i:-1!==String(i).indexOf(\"ticks\"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{\"../../lib/str2rgbarray\":740,\"../cartesian/axes\":765}],803:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d)0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../plot_api/edit_types\":748,\"../cartesian\":776,\"../cartesian/attributes\":763,\"../cartesian/constants\":771,\"../get_data\":800,\"../layout_attributes\":817,\"./scene2d\":804}],804:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),v=g.enforce,m=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=[\"xaxis\",\"yaxis\"],b=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function _(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=_;var w=_.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},w.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(b),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};m(s,this.xaxis),m(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[x[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},w.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){\"lasso\"===t||\"select\"===t?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var v=this.fullData[g.trace.index]||{},m=g.pointIndex,y=s.castHoverinfo(v,a,m);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(v,m,\"bgcolor\")||g.color,borderColor:s.castHoverOption(v,m,\"bordercolor\"),fontFamily:s.castHoverOption(v,m,\"font.family\"),fontSize:s.castHoverOption(v,m,\"font.size\"),fontColor:s.castHoverOption(v,m,\"font.color\"),nameLength:s.castHoverOption(v,m,\"namelength\"),textAlign:s.castHoverOption(v,m,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":630,\"../../lib/show_no_webgl_msg\":738,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"../cartesian/autorange\":764,\"../cartesian/constants\":771,\"../cartesian/constraints\":772,\"./camera\":801,\"./convert\":802,\"gl-plot2d\":290,\"gl-select-box\":302,\"gl-spikes2d\":311,\"webgl-context\":555}],805:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../lib\":717,\"../../plot_api/edit_types\":748,\"../get_data\":800,\"./layout/attributes\":806,\"./layout/defaults\":810,\"./layout/layout_attributes\":811,\"./scene\":815}],806:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],807:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 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204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":592,\"../../../lib/extend\":708,\"../../../plot_api/edit_types\":748,\"../../cartesian/layout_attributes\":777}],808:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":717,\"../../../plot_api/plot_template\":755,\"../../cartesian/axis_defaults\":767,\"../../cartesian/type_defaults\":788,\"./axis_attributes\":807,tinycolor2:536}],809:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open 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o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":717,\"../../../lib/str2rgbarray\":740}],810:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var g=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var v=n.getDfltFromLayout(\"dragmode\");if(!1!==v&&!v)if(v=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,x=t.camera.up.z;0!==x&&(m&&y&&x?x/Math.sqrt(m*m+y*y+x*x)>.999&&(v=\"turntable\"):v=\"turntable\")}else v=\"turntable\";r(\"dragmode\",v),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":592,\"../../../lib\":717,\"../../../registry\":846,\"../../get_data\":800,\"../../subplot_defaults\":840,\"./axis_defaults\":808,\"./layout_attributes\":811}],811:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":717,\"../../../lib/extend\":708,\"../../domain\":790,\"./axis_attributes\":807}],812:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":740}],813:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(var c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(var d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":717,\"../../cartesian/axes\":765}],814:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],815:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),m=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\"),_=function(){if(!navigator)return!1;var t;t||\"undefined\"==typeof navigator||(t=navigator.userAgent);t&&t.headers&&\"string\"==typeof t.headers[\"user-agent\"]&&(t=t.headers[\"user-agent\"]);if(\"string\"!=typeof t)return!1;var e=b({ua:t,tablet:!0});!1===e&&-1!==t.indexOf(\"Macintosh\")&&-1!==t.indexOf(\"Safari\")&&navigator.maxTouchPoints>1&&(e=!0);return e}();function w(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=w.prototype;k.tryCreatePlot=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:_,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}var e=0;try{this.glplot=s(t)}catch(r){e++;try{this.glplot=s(t)}catch(t){e++}}return e<2},k.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\"})},k.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()),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",function(){a(t)}),t.glplot.canvas.addEventListener(\"wheel\",function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}},!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}}),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})},!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var m=v(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},k=p.castHoverinfo(b,e.fullLayout,_),T=(k||\"\").split(\"+\"),M=k&&\"all\"===k;b.hovertemplate||M||(-1===T.indexOf(\"x\")&&(w.xLabel=void 0),-1===T.indexOf(\"y\")&&(w.yLabel=void 0),-1===T.indexOf(\"z\")&&(w.zLabel=void 0),-1===T.indexOf(\"text\")&&(u.textLabel=void 0),-1===T.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==T.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==T.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==T.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==T.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==T.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*m[0]/m[3])*i,y:(.5-.5*m[1]/m[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var T=[\"xaxis\",\"yaxis\",\"zaxis\"];function M(t,e,r){for(var n=t.fullSceneLayout,a=0;a<3;a++){var i=T[a],o=i.charAt(0),s=n[i],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(h.isArrayOrTypedArray(l))for(var f,p=0;p<(u||l.length);p++)if(h.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)f=s.d2l(l[p][d],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][a]=Math.min(r[0][a],f),r[1][a]=Math.max(r[1][a],f));else r[0][a]=Math.min(r[0][a],0),r[1][a]=Math.max(r[1][a],u-1)}}k.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&M(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=T[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&((a=this.traces[n.uid])?a.data.type===n.type?a.update(n):(a.dispose(),a=n._module.plot(this,n),this.traces[n.uid]=a):(a=n._module.plot(this,n),this.traces[n.uid]=a),a.name=n.name);var p=Object.keys(this.traces);t:for(i=0;i<p.length;++i){for(o=0;o<t.length;++o)if(t[o].uid===p[i]&&!0===t[o].visible&&0!==t[o]._length)continue t;(a=this.traces[p[i]]).dispose(),delete this.traces[p[i]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g=[[0,0,0],[0,0,0]],v=[],m={};for(i=0;i<3;++i){if((l=(s=c[T[i]]).type)in m?(m[l].acc*=f[i],m[l].count+=1):m[l]={acc:f[i],count:1},s.autorange){g[0][i]=1/0,g[1][i]=-1/0;var y=this.glplot.objects,x=this.fullSceneLayout.annotations||[],b=s._name.charAt(0);for(o=0;o<y.length;o++){var _=y[o],w=_.bounds,k=_._trace.data._pad||0;\"ErrorBars\"===_.constructor.name&&s._lowerLogErrorBound?g[0][i]=Math.min(g[0][i],s._lowerLogErrorBound):g[0][i]=Math.min(g[0][i],w[0][i]/f[i]-k),g[1][i]=Math.max(g[1][i],w[1][i]/f[i]+k)}for(o=0;o<x.length;o++){var A=x[o];if(A.visible){var S=s.r2l(A[b]);g[0][i]=Math.min(g[0][i],S),g[1][i]=Math.max(g[1][i],S)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(g[0][i]=Math.min(g[0][i],0),g[1][i]=Math.max(g[1][i],0)),g[0][i]>g[1][i])g[0][i]=-1,g[1][i]=1;else{var E=g[1][i]-g[0][i];g[0][i]-=E/32,g[1][i]+=E/32}if(\"reversed\"===s.autorange){var L=g[0][i];g[0][i]=g[1][i],g[1][i]=L}}else{var C=s.range;g[0][i]=s.r2l(C[0]),g[1][i]=s.r2l(C[1])}g[0][i]===g[1][i]&&(g[0][i]-=1,g[1][i]+=1),v[i]=g[1][i]-g[0][i],this.glplot.setBounds(i,{min:g[0][i]*f[i],max:g[1][i]*f[i]})}var P=[1,1,1];for(i=0;i<3;++i){var O=m[l=(s=c[T[i]]).type];P[i]=Math.pow(O.acc,1/O.count)/f[i]}var z;if(\"auto\"===c.aspectmode)z=Math.max.apply(null,P)/Math.min.apply(null,P)<=4?P:[1,1,1];else if(\"cube\"===c.aspectmode)z=[1,1,1];else if(\"data\"===c.aspectmode)z=P;else{if(\"manual\"!==c.aspectmode)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var I=c.aspectratio;z=[I.x,I.y,I.z]}c.aspectratio.x=u.aspectratio.x=z[0],c.aspectratio.y=u.aspectratio.y=z[1],c.aspectratio.z=u.aspectratio.z=z[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z});var D=c.domain||null,R=e._size||null;if(D&&R){var F=this.container.style;F.position=\"absolute\",F.left=R.l+D.x[0]*R.w+\"px\",F.top=R.t+(1-D.y[1])*R.h+\"px\",F.width=R.w*(D.x[1]-D.x[0])+\"px\",F.height=R.h*(D.y[1]-D.y[0])+\"px\"}this.glplot.redraw()}},k.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)},k.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\"}}},k.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())},k.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var a=[\"up\",\"center\",\"eye\"],i=[\"x\",\"y\",\"z\"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,a,i,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),f=l||c;if(f){var p={};if(l&&(e=this.getCamera(),n=(r=h.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(a=this.glplot.getAspectratio(),o=(i=h.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),h.nestedProperty(s,this.id+\".camera\").set(e);if(c)i.set(a),h.nestedProperty(s,this.id+\".aspectratio\").set(a),this.glplot.redraw()}return f},k.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,a=n._fullLayout,i=this.fullSceneLayout.camera,o=i.up.x,s=i.up.y,l=i.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",f={x:0,y:0,z:1},p={};p[c]=f;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,a._preGUI,p),i.up=f,h.nestedProperty(d,c).set(f)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},k.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticMode&&this.container.removeChild(n),f},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];f.setConvert(e,this.fullLayout),e.setScale=h.noop}},k.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},f.setConvert(this._mockAxis,t)},e.exports=w},{\"../../components/fx\":630,\"../../lib\":717,\"../../lib/show_no_webgl_msg\":738,\"../../lib/str2rgbarray\":740,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"./layout/convert\":809,\"./layout/spikes\":812,\"./layout/tick_marks\":813,\"./project\":814,\"gl-plot3d\":293,\"has-passive-events\":413,\"is-mobile\":422,\"webgl-context\":555}],816:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],817:[function(t,e,r){\"use strict\";var 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O=n.range.apply(this,L);if(O=O.map(function(t,e){return parseFloat(t.toPrecision(12))}),s=n.scale.linear().domain(L.slice(0,2)).range(\"clockwise\"===f.direction?[0,360]:[360,0]),u.layout.angularAxis.domain=s.domain(),u.layout.angularAxis.endPadding=A?E:0,\"undefined\"==typeof(t=n.select(this).select(\"svg.chart-root\"))||t.empty()){var z=(new DOMParser).parseFromString(\"<svg xmlns='http://www.w3.org/2000/svg' class='chart-root'>' + '<g class='outer-group'>' + '<g class='chart-group'>' + '<circle class='background-circle'></circle>' + '<g class='geometry-group'></g>' + '<g class='radial axis-group'>' + '<circle class='outside-circle'></circle>' + '</g>' + '<g class='angular axis-group'></g>' + '<g class='guides-group'><line></line><circle r='0'></circle></g>' + '</g>' + '<g class='legend-group'></g>' + '<g class='tooltips-group'></g>' + '<g class='title-group'><text></text></g>' + '</g>' + 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ft=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});R.on(\"mousemove.radial-guide\",function(t,e){var n=o.util.getMousePos(Y).radius;ft.attr({r:n}).style({opacity:.5}),it=r.invert(o.util.getMousePos(Y).radius);var a=o.util.convertToCartesian(n,f.radialAxis.orientation);ct.text(o.util.round(it)).move([a[0]+_[0],a[1]+_[1]])}).on(\"mouseout.radial-guide\",function(t,e){ft.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()}),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",function(e,r){var a=n.select(this),i=this.style.fill,s=\"black\",l=this.style.opacity||1;if(a.attr({\"data-opacity\":l}),i&&\"none\"!==i){a.attr({\"data-fill\":i}),s=n.hsl(i).darker().toString(),a.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};T&&(c.t=w[e[0]]);var u=\"t: \"+c.t+\", r: \"+c.r,h=this.getBoundingClientRect(),f=t.node().getBoundingClientRect(),p=[h.left+h.width/2-V[0]-f.left,h.top+h.height/2-V[1]-f.top];ut.config({color:s}).text(u),ut.move(p)}else 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arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,v=p.height+2*f;return r.attr({d:\"M\"+[[l,-v/2],[l,-v/4],[i.hasTick?0:l,0],[l,v/4],[l,v/2],[g,v/2],[g,-v/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-v/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map(function(t,r){var 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s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(\"undefined\"!=typeof 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s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":686,\"../../../lib\":717,d3:165}],836:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),v=t(\"../../components/fx\"),m=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),k=t(\"../../plot_api/subroutines\").redrawReglTraces,T=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,L=o.deg2rad,C=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var O=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function I(t,e){return e[o.findIndexOfMin(e,function(e){return o.angleDist(t,e)})]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},O.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var 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e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}}),h.order()},O.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(L);var p,d,g,v,m,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(L(s)),u=Math.sin(L(s)),h=Math.cos(L(l)),f=Math.sin(L(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,m=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],v=[c[0]+m,c[1]-m]):(d=h,m=(u-(p=h/w))/n.w/2,g=[o[0]+m,o[1]-m],v=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],T=this.yOffset2=n.t+n.h*(1-v[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=k-M*y[0],C=this.cy=T+M*y[3],P=this.cxx=S-k,O=this.cyy=C-T;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,O)),r.frontplot.attr(\"transform\",R(k,T)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,C)).call(s.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return 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n=t(\"../../components/color/attributes\"),a=t(\"../domain\").attributes,i=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:i.title.text,font:i.title.font},color:i.color,tickmode:i.tickmode,nticks:s({},i.nticks,{dflt:6,min:1}),tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,showtickprefix:i.showtickprefix,tickprefix:i.tickprefix,showticksuffix:i.showticksuffix,ticksuffix:i.ticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,separatethousands:i.separatethousands,tickfont:i.tickfont,tickangle:i.tickangle,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:s({},i.showline,{dflt:!0}),linecolor:i.linecolor,linewidth:i.linewidth,showgrid:s({},i.showgrid,{dflt:!0}),gridcolor:i.gridcolor,gridwidth:i.gridwidth,layer:i.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},c=e.exports=o({domain:a({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":591,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../cartesian/layout_attributes\":777,\"../domain\":790}],844:[function(t,e,r){\"use 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),v=t(\"../../components/titles\"),m=t(\"../cartesian/select\").prepSelect,y=t(\"../cartesian/select\").selectOnClick,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/constants\");function _(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=_;var w=_.prototype;w.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},w.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var 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n=t(\"../../plots/font_attributes\"),a=t(\"./axis_attributes\"),i=t(\"../../components/color/attributes\"),o=n({editType:\"calc\"});o.family.dflt='\"Open Sans\", verdana, arial, sans-serif',o.size.dflt=12,o.color.dflt=i.defaultLine,e.exports={carpet:{valType:\"string\",editType:\"calc\"},x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},a:{valType:\"data_array\",editType:\"calc\"},a0:{valType:\"number\",dflt:0,editType:\"calc\"},da:{valType:\"number\",dflt:1,editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},b0:{valType:\"number\",dflt:0,editType:\"calc\"},db:{valType:\"number\",dflt:1,editType:\"calc\"},cheaterslope:{valType:\"number\",dflt:1,editType:\"calc\"},aaxis:a,baxis:a,font:o,color:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},transforms:void 0}},{\"../../components/color/attributes\":591,\"../../plots/font_attributes\":791,\"./axis_attributes\":901}],900:[function(t,e,r){\"use 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n=t(\"../choropleth/attributes\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:i({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841,\"../choropleth/attributes\":924}],934:[function(t,e,r){\"use 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l=s.cd,c=l[0].trace,u=\"h\"===c.orientation,h=l[s.index];s[(u?\"x\":\"y\")+\"LabelVal\"]=h.s,s.percentInitial=h.begR,s.percentInitialLabel=i(h.begR,1),s.percentPrevious=h.difR,s.percentPreviousLabel=i(h.difR,1),s.percentTotal=h.sumR,s.percentTotalLabel=i(h.sumR,1);var f=h.hi||c.hoverinfo,p=[];if(f&&\"none\"!==f&&\"skip\"!==f){var d=\"all\"===f,g=f.split(\"+\"),v=function(t){return d||-1!==g.indexOf(t)};v(\"percent initial\")&&p.push(s.percentInitialLabel+\" of initial\"),v(\"percent previous\")&&p.push(s.percentPreviousLabel+\" of previous\"),v(\"percent total\")&&p.push(s.percentTotalLabel+\" of total\")}return s.extraText=p.join(\"<br>\"),s.color=function(t,e){var r=t.marker,a=e.mc||r.color,i=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(a))return a;if(n(i)&&o)return i}(c,h),[s]}}},{\"../../components/color\":592,\"../../lib\":717,\"../bar/hover\":863}],986:[function(t,e,r){\"use 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a[0]=o.c2p(t.s0,!0),i[0]=s.c2p(t.p0,!0),a[1]=o.c2p(t.s1,!0),i[1]=s.c2p(t.p1,!0),a[2]=o.c2p(t.nextS0,!0),i[2]=s.c2p(t.nextP0,!0),a[3]=o.c2p(t.nextS1,!0),i[3]=s.c2p(t.nextP1,!0),n?[a,i]:[i,a]}e.exports=function(t,e,r,c){var u=t._fullLayout;s(\"funnel\",u),function(t,e,r,o){var s=e.xaxis,c=e.yaxis;a.makeTraceGroups(o,r,\"trace bars\").each(function(r){var o=n.select(this),u=r[0].trace,h=a.ensureSingle(o,\"g\",\"regions\");if(u.connector&&u.connector.visible){var f=\"h\"===u.orientation,p=h.selectAll(\"g.region\").data(a.identity);p.enter().append(\"g\").classed(\"region\",!0),p.exit().remove();var d=p.size();p.each(function(r,o){if(o===d-1||r.cNext){var u=l(r,s,c,f),h=u[0],p=u[1],g=\"\";void 0!==h[3]&&void 0!==p[3]&&(g+=f?\"M\"+h[0]+\",\"+p[1]+\"L\"+h[2]+\",\"+p[2]+\"H\"+h[3]+\"L\"+h[1]+\",\"+p[1]+\"Z\":\"M\"+h[1]+\",\"+p[1]+\"L\"+h[2]+\",\"+p[3]+\"V\"+p[2]+\"L\"+h[1]+\",\"+p[0]+\"Z\"),a.ensureSingle(n.select(this),\"path\").attr(\"d\",g).call(i.setClipUrl,e.layerClipId,t)}})}else 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n=t(\"../pie/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,a,r,i)}var u=c(\"labels\"),h=c(\"values\"),f=s(u,h),p=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),v=c(\"texttemplate\");if(v||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),v||d&&\"none\"!==d){var m=c(\"textposition\");o(t,e,l,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}i(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else e.visible=!1}},{\"../../lib\":717,\"../../plots/domain\":790,\"../bar/defaults\":860,\"../pie/defaults\":1097,\"./attributes\":991}],995:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"funnelarea\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"funnelarea\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\"),styleOne:t(\"../pie/style_one\"),meta:{}}},{\"../pie/style_one\":1105,\"./attributes\":991,\"./base_plot\":992,\"./calc\":993,\"./defaults\":994,\"./layout_attributes\":996,\"./layout_defaults\":997,\"./plot\":998,\"./style\":999}],996:[function(t,e,r){\"use strict\";var n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1101}],997:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":717,\"./layout_attributes\":996}],998:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../lib\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"../bar/plot\").toMoveInsideBar,l=t(\"../bar/uniform_text\"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t(\"../pie/helpers\"),f=t(\"../pie/plot\"),p=f.attachFxHandlers,d=f.determineInsideTextFont,g=f.layoutAreas,v=f.prerenderTitles,m=f.positionTitleOutside,y=f.formatSliceLabel;function 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M=p[T+=1][0],A=p[T][1];f.TL=[-M,A],f.TR=[M,A],f.BL=w,f.BR=k,f.pxmid=(S=f.TR,E=f.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=f.TL,k=f.TR}var S,E}(e),l.each(function(){var l=n.select(this).selectAll(\"g.slice\").data(e);l.enter().append(\"g\").classed(\"slice\",!0),l.exit().remove(),l.each(function(l,g){if(l.hidden)n.select(this).selectAll(\"path,g\").remove();else{l.pointNumber=l.i,l.curveNumber=f.index;var v=u.cx,m=u.cy,b=n.select(this),_=b.selectAll(\"path.surface\").data([l]);_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),b.call(p,t,e);var w=\"M\"+(v+l.TR[0])+\",\"+(m+l.TR[1])+x(l.TR,l.BR)+x(l.BR,l.BL)+x(l.BL,l.TL)+\"Z\";_.attr(\"d\",w),y(t,l,u);var k=h.castOption(f.textposition,l.pts),T=b.selectAll(\"g.slicetext\").data(l.text&&\"none\"!==k?[0]:[]);T.enter().append(\"g\").classed(\"slicetext\",!0),T.exit().remove(),T.each(function(){var u=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),h=i.ensureUniformFontSize(t,d(f,l,r.font));u.text(l.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,h).call(o.convertToTspans,t);var p,y,x,b=a.bBox(u.node()),_=Math.min(l.BL[1],l.BR[1])+m,w=Math.max(l.TL[1],l.TR[1])+m;y=Math.max(l.TL[0],l.BL[0])+v,x=Math.min(l.TR[0],l.BR[0])+v,(p=s(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=h.size,c(f.type,p,r),e[g].transform=p,u.attr(\"transform\",i.getTextTransform(p))})}});var g=n.select(this).selectAll(\"g.titletext\").data(f.title.text?[0]:[]);g.enter().append(\"g\").classed(\"titletext\",!0),g.exit().remove(),g.each(function(){var e=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),s=f.title.text;f._meta&&(s=i.templateString(s,f._meta)),e.text(s).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,f.title.font).call(o.convertToTspans,t);var l=m(u,r._size);e.attr(\"transform\",\"translate(\"+l.x+\",\"+l.y+\")\"+(l.scale<1?\"scale(\"+l.scale+\")\":\"\")+\"translate(\"+l.tx+\",\"+l.ty+\")\")})})})}},{\"../../components/drawing\":613,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../bar/plot\":867,\"../bar/uniform_text\":872,\"../pie/helpers\":1099,\"../pie/plot\":1103,d3:165}],999:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../pie/style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(\".trace\");i(t,e,\"funnelarea\"),e.each(function(t){var 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=(t(\"../../constants/docs\").FORMAT_LINK,t(\"../../lib/extend\").extendFlat);e.exports=s({z:{valType:\"data_array\",editType:\"calc\"},x:s({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:s({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:s({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:s({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:s({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:s({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},zhoverformat:{valType:\"string\",dflt:\"\",editType:\"none\"},hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},{transforms:void 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n=t(\"d3\"),a=t(\"../../lib\"),i=a.rad2deg,o=t(\"../../constants/alignment\").MID_SHIFT,s=t(\"../../components/drawing\"),l=t(\"./constants\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../../plots/cartesian/axis_defaults\"),f=t(\"../../plots/cartesian/position_defaults\"),p=t(\"../../plots/cartesian/layout_attributes\"),d=t(\"../../components/color\"),g={left:\"start\",center:\"middle\",right:\"end\"},v={left:0,center:.5,right:1},m=/[yzafpn\\xb5mkMGTPEZY]/;function y(t){return t&&t.duration>0}function x(t){t.each(function(t){d.stroke(n.select(this),t.line.color)}).each(function(t){d.fill(n.select(this),t.color)}).style(\"stroke-width\",function(t){return t.line.width})}function b(t,e,r){var n=t._fullLayout,i=a.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),o={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return a.coerce(i,o,p,t,e)}return h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function k(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function T(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each(function(e){var h,M,A,S,E,L=e[0].trace,C=n.select(this),P=L._hasGauge,O=L._isAngular,z=L._isBullet,I=L.domain,D={w:p._size.w*(I.x[1]-I.x[0]),h:p._size.h*(I.y[1]-I.y[0]),l:p._size.l+p._size.w*I.x[0],r:p._size.r+p._size.w*(1-I.x[1]),t:p._size.t+p._size.h*(1-I.y[1]),b:p._size.b+p._size.h*I.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=L.align||\"center\";if(M=F,P){if(O&&(h=R,M=F+B/2,A=function(t){return e=t,r=.9*N,n=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),[r/n,e,r];var e,r,n}),z){var V=l.bulletPadding,U=1-l.bulletNumberDomainSize+V;h=D.l+(U+(1-U)*v[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-V)*D.w,D.h)}}}else h=D.l+v[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),L=[];f._hasNumber&&L.push(\"number\");f._hasDelta&&(L.push(\"delta\"),\"left\"===f.delta.position&&L.reverse());var C=E.selectAll(\"text\").data(L);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(m)||r(a).slice(-1).match(m))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,function(t){return parseInt(t)-1}),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}C.enter().append(\"text\"),C.attr(\"text-anchor\",function(){return M}).attr(\"class\",function(t){return t}).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),C.exit().remove();var O,z=f.mode+f.align;f._hasDelta&&(O=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){var e=f.delta.relative?t.relativeDelta:t.delta;return e},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}}).each(\"end\",function(){g(),S&&S()}).each(\"interrupt\",function(){g(),S&&S()}):g();return l=k(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",function(){p(),S&&S()}).each(\"interrupt\",function(){p(),S&&S()}).attrTween(\"text\",function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}}):p();o=k(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var I,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;\"left\"===f.delta.position&&(I=T(f,\"deltaPos\",0,-1*(o.width*v[f.align]+l.width*(1-v[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+I,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"right\"===f.delta.position&&(I=T(f,\"deltaPos\",0,o.width*(1-v[f.align])+l.width*v[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+I,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),\"bottom\"===f.delta.position&&(I=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),\"top\"===f.delta.position&&(I=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),O.attr({dx:I,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr(\"transform\",function(){var t=i.numbersScaler(h);z+=t[2];var e,r=T(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=T(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"})}(t,C,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},E={range:L.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var q=C.selectAll(\"g.angular\").data(O?e:[]);q.exit().remove();var H=C.selectAll(\"g.angularaxis\").data(O?e:[]);H.exit().remove(),O&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,v=a.gaugeBg,m=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],k=a.gauge,T=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=f.gauge.axis.range[1],n=(t-e)/(r-e)*Math.PI-S;return n<-S?-S:n>S?S:n}function L(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function C(t){t.attr(\"d\",function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()})}k.enter().append(\"g\").classed(\"angular\",!0),k.attr(\"transform\",_(w[0],w[1])),T.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),T.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},O={},z=u.makeLabelFns(s,0).labelStandoff;O.xFn=function(t){var e=P(t);return Math.cos(e)*z},O.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},O.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var I=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return I(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h=\"inside\"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:T,path:\"M\"+h*D+\",0h\"+h*s.ticklen,transFn:function(t){var e=P(t);return I(e)+\"rotate(\"+-i(e)+\")\"}}),u.drawLabels(t,s,{vals:l,layer:T,transFn:c,labelFns:O})}var R=[v].concat(f.gauge.steps),F=k.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(C).call(x),F.exit().remove();var B=L(f.gauge.bar.thickness),N=k.selectAll(\"g.value-arc\").data([f.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",function(){A&&A()}).each(\"interrupt\",function(){A&&A()}).attrTween(\"d\",(V=B,U=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(U,q);return function(e){return V.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var V,U,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=k.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(C).call(x),G.exit().remove();var Y=k.selectAll(\"g.gauge-outline\").data([m]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(C).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=C.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=C.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,v=n.gaugeOutline,m=n.size,_=h.domain,w=n.transitionOpts,k=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+m.l+\", \"+m.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var T=m.h,M=h.gauge.bar.thickness*T,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=m.t+m.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))}).attr(\"x\",function(t){return a.c2p(t.range[0])}).attr(\"y\",function(t){return.5*(1-t.thickness)*T}).attr(\"height\",function(t){return t.thickness*T})}var L=[g].concat(h.gauge.steps),C=f.selectAll(\"g.bg-bullet\").data(L);C.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),C.select(\"rect\").call(E).call(x),C.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(T-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",function(){k&&k()}).each(\"interrupt\",function(){k&&k()}).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var O=r.filter(function(){return h.gauge.threshold.value}),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*T).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*T).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var I=f.selectAll(\"g.gauge-outline\").data([v]);I.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),I.select(\"rect\").call(E).call(x),I.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=C.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",function(){return 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r=\"slices.\"+t;i(r+\".show\")&&(i(r+\".fill\"),i(r+\".locations\"))}),i(\"spaceframe.show\")&&i(\"spaceframe.fill\"),i(\"surface.show\")&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\")),i(\"contour.show\")&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(t){i(t)}),o(t,e,n,i,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,a){s(t,e,0,a,function(r,a){return n.coerce(t,e,i,r,a)})},supplyIsoDefaults:s}},{\"../../components/colorscale/defaults\":602,\"../../lib\":717,\"../../registry\":846,\"./attributes\":1056}],1060:[function(t,e,r){\"use 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":600}],1063:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),a=t(\"delaunay-triangulate\"),i=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var f=h.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var a=[],i=e.length,o=0;o<i;o++)a[o]=t.d2l(e[o],0,n)*r;return a}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function v(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,h=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!v(t.i,h)||!v(t.j,h)||!v(t.k,h))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(f):t.alphahull>0?i(t.alphahull,f):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],i=e.length,o=0;o<i;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return a(n)}(t.delaunayaxis,f);var m={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;m[x+\"Intensity\"]=t.intensity,m[x+\"IntensityBounds\"]=[y.min,y.max],m.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],m.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],m.cellColors=p(t.facecolor)):(this.color=t.color,m.meshColor=l(t.color));this.mesh.update(m)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new 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g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function m(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function T(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each(function(t){k(t).each(function(t){Array.prototype.push.apply(l,v(t))})});var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=k(a),l=[];s.each(function(t){Array.prototype.push.apply(l,v(t))});var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},v=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&v.push([\"Count:\",g.countLabel].join(\" 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n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){r.push(A(t,this))}),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):T(this,\"plotly_unhover\",n.event)}}function L(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function C(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}F(t.parcatsViewModel),R(t.parcatsViewModel),I(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),o=t.initialDragDimensionDisplayInds.some(function(t,e){return t!==i[e]});o&&i.forEach(function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r});var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map(function(t){return t.displayInd});if(s=t.initialDragCategoryDisplayInds.some(function(t,e){return t!==l[e]})){var c=t.model.categories.slice().sort(function(t,e){return t.displayInd-e.displayInd}),u=c.map(function(t){return t.categoryValue}),h=c.map(function(t){return t.categoryLabel});e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):T(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,F(t.parcatsViewModel),R(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each(function(){I(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)}).each(\"end\",function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function 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e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)});var i=a.selectAll(\"rect.bandrect\").data(function(t){return t.bands},h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(t){return t.color}).attr(\"fill-opacity\",0);i.attr(\"fill\",function(t){return t.color}).attr(\"width\",function(t){return t.width}).attr(\"height\",function(t){return t.height}).attr(\"y\",function(t){return t.y}),w(s),i.each(function(){o.raiseToTop(this)}),i.exit().remove()}function D(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 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Array(c.length),p=e[0].model.count,d=e[0].categories.map(function(t){return t.height}).reduce(function(t,e){return t+e}),g=0;g<c.length;g++){var v,m=c[g];v=p>0?d*(m.count/p):0;for(var y,x=new Array(n.length),b=0;b<m.categoryInds.length;b++){var _=m.categoryInds[b],w=a[b][_],k=i[b];x[k]=n[k][w],n[k][w]+=v;var T=t.dimensions[k].categories[w],M=T.bands.length,A=T.bands[M-1];if(void 0===A||m.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;T.bands.push({key:S,color:m.color,rawColor:m.rawColor,height:v,width:T.width,count:m.count,y:S,categoryViewModel:T,parcatsViewModel:t})}else{var E=T.bands[M-1];E.height+=v,E.count+=m.count}}y=\"hspline\"===t.pathShape?D(s,x,l,v,.5):D(s,x,l,v,0),f[g]={key:m.valueInds[0],model:m,height:v,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function F(t){var e=t.model.dimensions.map(function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}});e.sort(function(t,e){return t.displayInd-e.displayInd});var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(B(t,i))}t.dimensions=r}function B(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,v=e.categories.map(function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}});for(v.sort(function(t,e){return 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/plot_template\":755,\"../../plots/cartesian/layout_attributes\":777,\"../../plots/domain\":790,\"../../plots/font_attributes\":791}],1083:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=v(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function v(t,e){return t.map(function(t){return t.map(function(t){return Math.max(0,t*e)}).sort(s)})}function m(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=v(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[i],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<m.length;r++){var x=[.25*m[Math.max(r-1,0)]+.75*m[r],.25*m[Math.min(r+1,m.length-1)]+.75*m[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.brush.svgBrush;i.wasDragged=!0,i._dragging=!0,i.grabbingBar?i.newExtent=[r-i.grabPoint,r+i.barLength-i.grabPoint].map(e.unitToPaddedPx.invert):i.newExtent=[i.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,i.extent=i.stayingIntervals.concat([i.newExtent]),i.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-a.mouse(t)[1]-2*n.verticalPadding),i=\"crosshair\";r.clickableOrdinalRange?i=\"pointer\":r.region&&(i=r.region+\"-resize\"),a.select(document.body).style(\"cursor\",i)}function k(t){t.on(\"mousemove\",function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||m()}).call(a.behavior.drag().on(\"dragstart\",function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter(function(t){return t[0]!==l[0]&&t[1]!==l[1]})),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)}).on(\"drag\",function(t){_(this,t)}).on(\"dragend\",function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)}))}function T(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map(function(t){return t.slice().sort(s)}).sort(T)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce(function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]},[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map(function(t){return t.slice()})}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(k).attr(\"height\",function(t){return t.height-n.verticalPadding});var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",function(t){return t.height}).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(t){return t.height}).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map(function(t){return t.sort(s)}),t=e.multiselect?A(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map(function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e}).filter(function(t){return t})).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":717,\"../../lib/gup\":715,\"./constants\":1086,d3:165}],1084:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter(function(t,e){return e===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each(function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})}),window.setTimeout(function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")},60)}},{\"../../constants/xmlns_namespaces\":694,\"../../plots/get_data\":800,\"./plot\":1093,d3:165}],1085:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":604,\"../../lib\":717,\"../../lib/gup\":715}],1086:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1087:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),v=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",v);var m={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",m),n.coerceFont(u,\"tickfont\",m),n.coerceFont(u,\"rangefont\",m),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":602,\"../../components/colorscale/helpers\":603,\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"../../plots/cartesian/axes\":765,\"../../plots/domain\":790,\"./attributes\":1082,\"./axisbrush\":1083,\"./constants\":1086,\"./merge_length\":1091}],1088:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":717}],1089:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1082,\"./base_plot\":1084,\"./calc\":1085,\"./defaults\":1087,\"./plot\":1093}],1090:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=1e-6,c=2048,u=new Uint8Array(4),h=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function p(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function d(t,e,r,n,a,i){var 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n=e.indexOf(r),a=t.indexOf(n);return-1===a&&(a+=e.length),a}e.exports=function(t,e){var r=t._fullLayout;if(a(t)){var s={},l={},c={},u={},h=r._size;e.forEach(function(e,r){var n=e[0].trace;c[r]=n.index;var a=u[r]=n._fullInput.index;s[r]=t.data[a].dimensions,l[r]=t.data[a].dimensions.slice()});n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,a){var i=l[e][n],o=a.map(function(t){return t.slice()}),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),v=0,m=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(v+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(m=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(v+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?m:e.sort)&&i.sort(function(t,e){return e.v-t.v}),i[0]&&(i[0].vTotal=v),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":592,\"fast-isnumeric\":228,tinycolor2:536}],1097:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var v=c(\"hole\");if(c(\"title.text\")){var m=c(\"title.position\",v?\"middle center\":\"top center\");v||\"middle center\"!==m||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":717,\"../../plots/domain\":790,\"../bar/defaults\":860,\"./attributes\":1094,\"fast-isnumeric\":228}],1098:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":627}],1099:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":717}],1100:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1094,\"./base_plot\":1095,\"./calc\":1096,\"./defaults\":1097,\"./layout_attributes\":1101,\"./layout_defaults\":1102,\"./plot\":1103,\"./style\":1104,\"./style_one\":1105}],1101:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1102:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":717,\"./layout_attributes\":1101}],1103:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"./helpers\"),d=t(\"./event_data\"),g=t(\"../../lib\").isValidTextValue;function v(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[p.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,g=s+t.pxmid[0]*(1-f),v=c+t.pxmid[1]*(1-f),m=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=p.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=p.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=p.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:g-f*a.r,x1:g+f*a.r,y:v,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:p.castOption(b.bgcolor,t.pts)||t.color,borderColor:p.castOption(b.bordercolor,t.pts),fontFamily:p.castOption(_.family,t.pts),fontSize:p.castOption(_.size,t.pts),fontColor:p.castOption(_.color,t.pts),nameLength:p.castOption(b.namelength,t.pts),textAlign:p.castOption(b.align,t.pts),hovertemplate:p.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[d(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[d(t,u)],event:n.event})}}),t.on(\"mouseout\",function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[d(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)}),t.on(\"click\",function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[d(t,a)],i.click(e,n.event))})}function m(t,e,r){var n=p.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=p.castOption(t._input.textfont.color,e.pts));var a=p.castOption(t.insidetextfont.family,e.pts)||p.castOption(t.textfont.family,e.pts)||r.family,i=p.castOption(t.insidetextfont.size,e.pts)||p.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function y(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function x(t,e,r){var n,a=Math.sqrt(t.width*t.width+t.height*t.height),i=e.halfangle,o=e.midangle,s=e.ring,l=e.rInscribed,c=r.r||e.rpx1,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=1===s&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,v=[];if(!d){var m,y=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var i=Math.abs(r-e.startangle),o=Math.abs(r-e.stopangle),l=i<o?i:o;(n=\"tan\"===a?_(t,c,s,l,0):b(t,c,s,l,Math.PI/2)).textPosAngle=r,v.push(n)}};if(h||f){for(m=4;m>=-4;m-=2)y(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)y(Math.PI*(m+1),\"tan\")}if(h||p){for(m=4;m>=-4;m-=2)y(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)y(Math.PI*(m+.5),\"rad\")}}if(g||d||h){if((n={scale:l*c*2/a,rCenter:1-l,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,n.scale>=1)return n;v.push(n)}(d||p)&&((n=b(t,c,s,i,o)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(n)),(d||f)&&((n=_(t,c,s,i,o)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(n));for(var x=0,w=0,k=0;k<v.length;k++){var T=v[k].scale;if(w<T&&(w=T,x=k),!d&&w>=1)break}return v[x]}function b(t,e,r,n,a){var i=t.width/t.height,o=T(i,n,e,r);return{scale:2*o/t.height,rCenter:w(i,o/e),rotate:k(a)}}function _(t,e,r,n,a){var i=t.height/t.width,o=T(i,n,e,r);return{scale:2*o/t.width,rCenter:w(i,o/e),rotate:k(a+Math.PI/2)}}function w(t,e){return Math.cos(e)-t*e}function k(t){return(180/Math.PI*t+720)%180-90}function T(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function M(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function A(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function S(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=L(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=E(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function E(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 L(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 C(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=E(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+L(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=E(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function P(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function O(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),d=u(\"value\"),v=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=p.getFirstFilled(a.text,e.pts);g(y)&&s.push(y)}d&&s.push(p.formatPieValue(e.v,m)),v&&s.push(p.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:p.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:p.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=p.getFirstFilled(a.text,e.pts);(g(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function z(t,e){var r=t.rotate,n=t.scale;n>1&&(n=1);var a=r*Math.PI/180,i=Math.cos(a),o=Math.sin(a),s=(e.left+e.right)/2,l=(e.top+e.bottom)/2;t.textX=s*i-l*o,t.textY=s*o+l*i,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),y(e,t),C(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each(function(e){var u=n.select(this),f=e[0],d=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=P(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=P(i,s),r.midangle=s,s+=l*r.v/2,n=P(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=M(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each(function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var y=[[[],[]],[[],[]]],b=!1;g.each(function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=d.index,y[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(v,t,e),d.pull){var w=+p.castOption(d.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var k=d.hole;if(a.v===f.vTotal){var T=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+C(a.px0,a.pxmid,!0,1)+C(a.pxmid,a.px0,!0,1)+\"Z\";k?_.attr(\"d\",\"M\"+(o+k*a.px0[0])+\",\"+(u+k*a.px0[1])+C(a.px0,a.pxmid,!1,k)+C(a.pxmid,a.px0,!1,k)+\"Z\"+T):_.attr(\"d\",T)}else{var M=C(a.px0,a.px1,!0,1);if(k){var S=1-k;_.attr(\"d\",\"M\"+(o+k*a.px1[0])+\",\"+(u+k*a.px1[1])+C(a.px1,a.px0,!1,k)+\"l\"+S*a.px0[0]+\",\"+S*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}O(t,a,f);var E=p.castOption(d.textposition,a.pts),L=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each(function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),v=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=p.castOption(t.outsidetextfont.color,e.pts)||p.castOption(t.textfont.color,e.pts)||r.color,a=p.castOption(t.outsidetextfont.family,e.pts)||p.castOption(t.textfont.family,e.pts)||r.family,i=p.castOption(t.outsidetextfont.size,e.pts)||p.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(d,a,r.font):m(d,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v).call(c.convertToTspans,t);var y,_=s.bBox(g.node());if(\"outside\"===E)y=A(_,a);else if(y=x(_,a,f),\"auto\"===E&&y.scale<1){var w=l.ensureUniformFontSize(t,d.outsidetextfont);g.call(s.font,w),y=A(_=s.bBox(g.node()),a)}var k=y.textPosAngle,T=void 0===k?a.pxmid:P(f.r,k);if(y.targetX=o+T[0]*y.rCenter+(y.x||0),y.targetY=u+T[1]*y.rCenter+(y.y||0),z(y,_),y.outside){var M=y.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,b=!0}y.fontSize=v.size,h(d.type,y,r),e[i].transform=y,g.attr(\"transform\",l.getTextTransform(y))})}function C(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}});var _=n.select(this).selectAll(\"g.titletext\").data(d.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each(function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),a=d.title.text;d._meta&&(a=l.templateString(a,d._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,d.title.font).call(c.convertToTspans,t),e=\"middle center\"===d.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):S(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")}),b&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,d,g;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,d,g,v=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,x=t.cyFinal+o(t.px0[1],t.px1[1]),b=v-m;if(b*l>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(p.castOption(e.pull,t.pts)||0)>=(p.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(f=u.cyFinal+o(u.px0[1],u.px1[1]),(b=f-m-t.labelExtraY)*l>0&&(t.labelExtraY+=b)):(y+t.labelExtraY-x)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),d=u.cxFinal+i(u.px0[0],u.px1[0]),(g=d+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=g)))}for(n=0;n<2;n++)for(a=n?v:m,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),d=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&d.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<d.length;f++){var x=f&&d[f-1];g&&!f&&(x=g),y(d[f],x)}}}(y,d),function(t,e){t.each(function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=t.cyFinal+t.pxmid[1],c=\"M\"+i+\",\"+s,u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var h=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(h)>Math.abs(f)?c+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(i+t.labelExtraX+u):c+=\"l\"+t.labelExtraX+\",\"+h+\"v\"+(f-h)+\"h\"+u}else c+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:c,fill:\"none\"})}else r.select(\"path.textline\").remove()})}(g,d),b&&d.automargin){var w=s.bBox(u.node()),k=d.domain,T=i.w*(k.x[1]-k.x[0]),M=i.h*(k.y[1]-k.y[0]),E=(.5*T-f.r)/i.w,L=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+d.uid+\".automargin\",{xl:k.x[0]-E,xr:k.x[1]+E,yb:k.y[0]-L,yt:k.y[1]+L,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}})});setTimeout(function(){u.selectAll(\"tspan\").each(function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))})},0)},formatSliceLabel:O,transformInsideText:x,determineInsideTextFont:m,positionTitleOutside:S,prerenderTitles:y,layoutAreas:C,attachFxHandlers:v,computeTransform:z}},{\"../../components/color\":592,\"../../components/drawing\":613,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plots/plots\":826,\"../bar/uniform_text\":872,\"./event_data\":1098,\"./helpers\":1099,d3:165}],1104:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each(function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each(function(t){n.select(this).call(a,t,e)})})}},{\"../bar/uniform_text\":872,\"./style_one\":1105,d3:165}],1105:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":592,\"./helpers\":1099}],1106:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1120}],1107:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=f({hoverinfo:h({},a.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),node:{label:{valType:\"data_array\",dflt:[]},groups:{valType:\"info_array\",impliedEdits:{x:[],y:[]},dimensions:2,freeLength:!0,dflt:[],items:{valType:\"number\",editType:\"calc\"}},x:{valType:\"data_array\",dflt:[]},y:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:i.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:.5,arrayOk:!0}},pad:{valType:\"number\",arrayOk:!1,min:0,dflt:20},thickness:{valType:\"number\",arrayOk:!1,min:1,dflt:20},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]})},link:{label:{valType:\"data_array\",dflt:[]},color:{valType:\"color\",arrayOk:!0},line:{color:{valType:\"color\",dflt:i.defaultLine,arrayOk:!0},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0}},source:{valType:\"data_array\",dflt:[]},target:{valType:\"data_array\",dflt:[]},value:{valType:\"data_array\",dflt:[]},hoverinfo:{valType:\"enumerated\",values:[\"all\",\"none\",\"skip\"],dflt:\"all\"},hoverlabel:o.hoverlabel,hovertemplate:l({},{keys:[\"value\",\"label\"]}),colorscales:u(\"concentrationscales\",{editType:\"calc\",label:{valType:\"string\",editType:\"calc\",dflt:\"\"},cmax:{valType:\"number\",editType:\"calc\",dflt:1},cmin:{valType:\"number\",editType:\"calc\",dflt:0},colorscale:h(c().colorscale,{dflt:[[0,\"white\"],[1,\"black\"]]})})}},\"calc\",\"nested\")).transforms=void 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a=n._has&&n._has(\"sankey\"),i=e._has&&e._has(\"sankey\");a&&!i&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)f(t,e)}},{\"../../components/dragelement\":610,\"../../components/fx/layout_attributes\":631,\"../../lib\":717,\"../../lib/setcursor\":737,\"../../plot_api/edit_types\":748,\"../../plots/cartesian/select\":782,\"../../plots/get_data\":800,\"../../registry\":846,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"strongly-connected-components\"),a=t(\"../../lib\"),i=t(\"../../lib/gup\").wrap,o=a.isArrayOrTypedArray,s=a.isIndex,l=t(\"../../components/colorscale\");function c(t){var e,r=t.node,i=t.link,c=[],u=o(i.color),h={},f={},p=i.colorscales.length;for(e=0;e<p;e++){var d=i.colorscales[e],g=l.extractScale(d,{cLetter:\"c\"}),v=l.makeColorScaleFunc(g);f[d.label]=v}var 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function(t,e,r){for(var i=a.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(a.isIndex(e[o],t)&&a.isIndex(r[o],t)){if(e[o]===r[o])return!0;i[e[o]].push(r[o])}return n(i).components.some(function(t){return t.length>1})}(P,M.source,M.target)&&(D=!0),{circular:D,links:c,nodes:z,groups:b,groupLookup:_}}e.exports=function(t,e){var r=c(e);return i({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":604,\"../../lib\":717,\"../../lib/gup\":715,\"strongly-connected-components\":529}],1113:[function(t,e,r){\"use 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n=t(\"d3\"),a=t(\"./render\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../lib\"),l=t(\"./constants\").cn,c=s._;function u(t){return\"\"!==t}function h(t,e){return t.filter(function(t){return t.key===e.traceId})}function f(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function p(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function d(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function 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(\".\"+l.sankeyLink).filter(d(e)).call(y.bind(0,e,r,!1))}function m(t,e,r){e&&r&&h(r,e).selectAll(\".\"+l.sankeyLink).filter(d(e)).call(x.bind(0,e,r,!1))}function y(t,e,r,n){var 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y=i.loneHover({x0:d,x1:g,y:v,name:n.format(a.valueFormat)(a.node.value)+a.valueSuffix,text:[a.node.label,T+a.node.targetLinks.length,M+a.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||a.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[a.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(y,.85),p(y)}}},unhover:function(e,a,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,a,o),\"skip\"!==a.node.trace.node.hoverinfo&&(a.node.fullData=a.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[a.node]})),i.loneUnhover(r._hoverlayer.node()))},select:function(e,r,a){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(m,r,a),i.click(t,{target:!0})}}})}},{\"../../components/color\":592,\"../../components/fx\":630,\"../../lib\":717,\"./constants\":1113,\"./render\":1117,d3:165}],1117:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"tinycolor2\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"@plotly/d3-sankey\"),c=t(\"@plotly/d3-sankey-circular\"),u=t(\"d3-force\"),h=t(\"../../lib\"),f=t(\"../../lib/gup\"),p=f.keyFun,d=f.repeat,g=f.unwrap,v=t(\"d3-interpolate\").interpolateNumber,m=t(\"../../registry\");function y(){var t=.5;return function(e){if(e.link.circular)return r=e.link,n=r.width/2,a=r.circularPathData,\"top\"===r.circularLinkType?\"M \"+a.targetX+\" \"+(a.targetY+n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 1 \"+(a.rightFullExtent-n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 1 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 0 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 0 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"L\"+a.targetX+\" \"+(a.targetY-n)+\"Z\":\"M \"+a.targetX+\" \"+(a.targetY-n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 0 \"+(a.rightFullExtent-n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 0 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 1 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 1 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"L\"+a.targetX+\" \"+(a.targetY+n)+\"Z\";var r,n,a,i=e.link.source.x1,o=e.link.target.x0,s=v(i,o),l=s(t),c=s(1-t),u=e.link.y0-e.link.width/2,h=e.link.y0+e.link.width/2,f=e.link.y1-e.link.width/2,p=e.link.y1+e.link.width/2;return\"M\"+i+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+f+\" \"+o+\",\"+f+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"Z\"}}function x(t){t.attr(\"transform\",function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"})}function b(t){t.call(x)}function _(t,e){t.call(b),e.attr(\"d\",y())}function w(t){t.attr(\"width\",function(t){return t.node.x1-t.node.x0}).attr(\"height\",function(t){return t.visibleHeight})}function k(t){return t.link.width>1||t.linkLineWidth>0}function T(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function M(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function 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P(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])}).on(\"mousemove.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])}).on(\"mouseout.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)}).on(\"click.basic\",function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)})}function O(t,e,r,i){var o=a.behavior.drag().origin(function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}}).on(\"dragstart\",function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",function(t){i._fullLayout._dragCover=t}),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,I(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter(function(t){return t.originalX===r.node.originalX}).filter(function(t){return!t.partOfGroup});r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius(function(t){return t.dy/2+r.nodePad/2}).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame(function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();var l=r.graph.nodes;if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(l),r.sankey.update(r.graph),_(t.filter(D(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var 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i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}m.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then(function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()})}function I(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function D(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,u,f){var v=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",function(){v=!0});var m=t._fullLayout._dragCover,b=r.filter(function(t){return g(t).trace.visible}).map(function(t,e,r){var a,o=g(e),s=o.trace,u=s.domain,f=\"h\"===s.orientation,p=s.node.pad,d=s.node.thickness,v=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),y=o._nodes,x=o._links,b=o.circular;(a=b?c.sankeyCircular().circularLinkGap(0):l.sankey()).iterations(n.sankeyIterations).size(f?[v,m]:[m,v]).nodeWidth(d).nodePadding(p).nodeId(function(t){return t.pointNumber}).nodes(y).links(x);var _,w,k,T=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<T.nodes.length;_++)if(T.nodes[_].pointNumber===S){A=T.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};T.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<T.nodes.length;_++){var t,e,r=T.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(k=0;k<o.length;k++)l[(e=o[k]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(k=0;k<o.length;k++)(e=o[k]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,T.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var L=[s.node.x[_]*v,s.node.y[_]*m];T.nodes[_].x0=L[0]-d/2,T.nodes[_].x1=L[0]+d/2;var C=T.nodes[_].y1-T.nodes[_].y0;T.nodes[_].y0=L[1]-C/2,T.nodes[_].y1=L[1]+C/2}\"snap\"===s.arrangement&&function(t){t.forEach(function(t){var e,r,n,a=0,i=t.length;for(t.sort(function(t,e){return t.y0-e.y0}),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p})}(function(t){var e,r,n=t.map(function(t,e){return{x0:t.x0,index:e}}).sort(function(t,e){return t.x0-e.x0}),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=T.nodes)),a.update(T)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:v,height:m,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:v,dragPerpendicular:f?v:m,arrangement:s.arrangement,sankey:a,graph:T,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}.bind(null,u)),_=e.selectAll(\".\"+n.cn.sankey).data(b,p);_.exit().remove(),_.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",T),_.each(function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})}),_.transition().ease(n.ease).duration(n.duration).attr(\"transform\",T);var z=_.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);z.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var I=z.selectAll(\".\"+n.cn.sankeyLink).data(function(t){return t.graph.links.filter(function(t){return t.value}).map(function(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:y,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}.bind(null,t))},p);I.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(P,_,f.linkEvents),I.style(\"stroke\",function(t){return k(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return k(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}).style(\"stroke-width\",function(t){return k(t)?t.linkLineWidth:1}).attr(\"d\",y()),I.style(\"opacity\",function(){return 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),v=Math.min(d.length,g.length);if(v){e._length=v,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",v<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var m=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),m.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||m.push(\"fills\"),\"fills\"!==p(\"hoveron\",m.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":717,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/line_shape_defaults\":1135,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1153}],1156:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1157:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1158:[function(t,e,r){\"use 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n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":613,\"../../plots/cartesian/axes\":765,\"../scatter/plot\":1140}],1161:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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v=h(\"lon\")||[],m=h(\"lat\")||[];f=Math.min(v.length,m.length)}f?(e._length=f,h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),a.hasLines(e)&&(o(t,e,r,u,h),h(\"connectgaps\")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h(\"texttemplate\"),s(t,e,u,h)),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{\"../../lib\":717,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1161}],1164:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1165:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i=\"all\"===a?s.hoverinfo.flags:a.split(\"+\"),l=-1!==i.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==i.indexOf(\"lon\"),u=-1!==i.indexOf(\"lat\"),h=-1!==i.indexOf(\"text\"),f=[];function p(t){return t+\"\\xb0\"}l?f.push(e.loc):c&&u?f.push(\"(\"+p(r.lonLabel)+\", \"+p(r.latLabel)+\")\"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":630,\"../../constants/numerical\":693,\"../../lib\":717,\"../scatter/get_trace_color\":1130,\"./attributes\":1161}],1167:[function(t,e,r){\"use 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n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../lib/topojson_utils\").getTopojsonFeatures,o=t(\"../../lib/geojson_utils\"),s=t(\"../../lib/geo_location_utils\"),l=t(\"../../plots/cartesian/autorange\").findExtremes,c=t(\"../../constants/numerical\").BADNUM,u=t(\"../scatter/calc\").calcMarkerSize,h=t(\"../scatter/subtypes\"),f=t(\"./style\");e.exports={calcGeoJSON:function(t,e){var r,n,a=t[0].trace,o=e[a.geo],h=o._subplot,f=a._length;if(Array.isArray(a.locations)){var p=a.locationmode,d=\"geojson-id\"===p?s.extractTraceFeature(t):i(a,h.topojson);for(r=0;r<f;r++){n=t[r];var g=\"geojson-id\"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=g?g.properties.ct:[c,c]}}var v,m,y={padded:!0};if(\"geojson\"===o.fitbounds&&\"geojson-id\"===a.locationmode){var x=s.computeBbox(s.getTraceGeojson(a));v=[x[0],x[2]],m=[x[1],x[3]]}else{for(v=new Array(f),m=new 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r,i,o,s,l,c=t.cd,u=t.xaxis,h=t.yaxis,f=[],p=c[0].trace;if(!n.hasMarkers(p)&&!n.hasText(p))return[];if(!1===e)for(l=0;l<c.length;l++)c[l].selected=0;else for(l=0;l<c.length;l++)(i=(r=c[l]).lonlat)[0]!==a&&(o=u.c2p(i),s=h.c2p(i),e.contains([o,s],null,l,t)?(f.push({pointNumber:l,lon:i[0],lat:i[1]}),r.selected=1):r.selected=0);return f}},{\"../../constants/numerical\":693,\"../scatter/subtypes\":1144}],1170:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../components/color\"),o=t(\"../scatter/style\"),s=o.stylePoints,l=o.styleText;e.exports=function(t,e){e&&function(t,e){var r=e[0].trace,o=e[0].node3;o.style(\"opacity\",e[0].trace.opacity),s(o,r,t),l(o,r,t),o.selectAll(\"path.js-line\").style(\"fill\",\"none\").each(function(t){var 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n=t(\"../../plots/attributes\"),a=t(\"../scatter/attributes\"),i=t(\"../../components/colorscale/attributes\"),o=t(\"../../lib/extend\").extendFlat,s=t(\"../../plot_api/edit_types\").overrideAll,l=t(\"./constants\").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:c.color,width:c.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:Object.keys(l),dflt:\"solid\"}},marker:o({},i(\"marker\"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i(\"marker.line\"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:\"none\"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType=\"calc+clearAxisTypes\",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../scatter/attributes\":1120,\"./constants\":1173}],1172:[function(t,e,r){\"use 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n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS?\"rect\":h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,v=0,m=0;v<h;v++,m+=4){var y=t[v];if(n(y)){var x=r[2*v+c],b=l(y,v),_=b[0],w=b[1];if(n(_)&&n(w)){var k=y-_,T=y+w;p[m+u[0]]=x-a.c2l(k),p[m+u[1]]=a.c2l(T)-x,p[m+u[2]]=0,p[m+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=v[p],m=v[d],y=u?u/.8+1:0,x=-m*y-.5*m;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":613,\"../../components/fx/helpers\":627,\"../../constants/interactions\":692,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../plots/cartesian/axis_ids\":768,\"../../registry\":846,\"../scatter/make_bubble_size_func\":1137,\"../scatter/subtypes\":1144,\"./constants\":1173,\"./helpers\":1178,\"color-normalize\":122,\"fast-isnumeric\":228,\"svg-path-sdf\":534}],1175:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var v=!!t.marker&&i.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",v||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"../scatter/xy_defaults\":1146,\"./attributes\":1171,\"./helpers\":1178}],1176:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},v=n.extendFlat({},p);if(h.length||f.length){var m=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(v.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],v.color[r]=m||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;v.color[r]=y||(m?_:a.addOpacity(_,i))}}c.glText[u].update(v)}}},{\"../../components/color\":592,\"../../constants/interactions\":692,\"../../lib\":717}],1177:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1129}],1178:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1173}],1179:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var v=d&&d.gradient;v&&\"none\"!==v.type&&(f.mgt=Array.isArray(v.type)?v.type[h]:v.type,f.mgc=Array.isArray(v.color)?v.color[h]:v.color);var m=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var k={};k[t.index]=f;var T=a.extendFlat({},t,{color:i(o,f),x0:m-x,x1:m+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:k,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?T.text=f.htx:f.tx?T.text=f.tx:o.text&&(T.text=o.text),a.fillText(f,o,T),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,T),T}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,v=d[0].trace,m=t.xa,y=t.ya,x=g.x,b=g.y,_=m.c2p(e),w=y.c2p(r),k=t.distance;if(g.tree){var T=m.p2c(_-k),M=m.p2c(_+k),A=y.p2c(w-k),S=y.p2c(w+k);a=\"x\"===n?g.tree.range(Math.min(T,M),Math.min(y._rl[0],y._rl[1]),Math.max(T,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(T,M),Math.min(A,S),Math.max(T,M),Math.max(A,S))}else a=g.ids;var E=k;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(m.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=m.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,v)]},calcHover:o}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/get_trace_color\":1130}],1180:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":776,\"../scatter/cross_trace_defaults\":1126,\"../scatter/marker_colorbar\":1138,\"./attributes\":1171,\"./calc\":1172,\"./defaults\":1175,\"./format_labels\":1177,\"./hover\":1179,\"./plot\":1181,\"./select\":1183}],1181:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../lib/prepare_regl\"),c=t(\"../scatter/subtypes\"),u=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function f(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var p,d,g=t._fullLayout,v=e._scene,m=e.xaxis,y=e.yaxis;if(v)if(l(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var x=v.count,b=g._glcanvas.data()[0].regl;if(u(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(b)),!0===v.line2d&&(v.line2d=a(b)),!0===v.scatter2d&&(v.scatter2d=n(b)),!0===v.fill2d&&(v.fill2d=a(b)),!0===v.glText)for(v.glText=new Array(x),p=0;p<x;p++)v.glText[p]=new o(b);if(v.glText){if(x>v.glText.length){var _=x-v.glText.length;for(p=0;p<_;p++)v.glText.push(new o(b))}else if(x<v.glText.length){var w=v.glText.length-x;v.glText.splice(x,w).forEach(function(t){t.destroy()})}for(p=0;p<x;p++)v.glText[p].update(v.textOptions[p])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map(function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t}),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,x),v.fill2d&&(v.fillOptions=v.fillOptions.map(function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,k=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(k.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=k}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}}),v.fill2d.update(v.fillOptions))}var T=g.dragmode,M=\"lasso\"===T||\"select\"===T,A=g.clickmode.indexOf(\"select\")>-1;for(p=0;p<x;p++){var S=r[p][0],E=S.trace,L=S.t,C=L.index,P=E._length,O=L.x,z=L.y;if(E.selectedpoints||M||A){if(M||(M=!0),E.selectedpoints){var I=v.selectBatch[C]=s.selIndices2selPoints(E),D={};for(d=0;d<I.length;d++)D[I[d]]=1;var R=[];for(d=0;d<P;d++)D[d]||R.push(d);v.unselectBatch[C]=R}var F=L.xpx=new Array(P),B=L.ypx=new Array(P);for(d=0;d<P;d++)F[d]=m.c2p(O[d]),B[d]=y.c2p(z[d])}else L.xpx=L.ypx=null}if(M){if(v.select2d||(v.select2d=n(g._glcanvas.data()[1].regl)),v.scatter2d){var N=new Array(x);for(p=0;p<x;p++)N[p]=v.selectBatch[p].length||v.unselectBatch[p].length?v.markerUnselectedOptions[p]:{};v.scatter2d.update(N)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach(function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)})}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var j={viewport:f(g,m,y),range:[(m._rl||m.range)[0],(y._rl||y.range)[0],(m._rl||m.range)[1],(y._rl||y.range)[1]]},V=s.repeat(j,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach(function(t){t.update(j)})}else v.init()}}},{\"../../lib\":717,\"../../lib/prepare_regl\":730,\"../scatter/link_traces\":1136,\"../scatter/subtypes\":1144,\"./edit_style\":1176,\"gl-text\":319,\"regl-error2d\":492,\"regl-line2d\":493,\"regl-scatter2d\":499}],1182:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},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 a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/mapbox/layout_attributes\":822,\"../../plots/template_attributes\":841,\"../scatter/attributes\":1120,\"../scattergeo/attributes\":1161}],1185:[function(t,e,r){\"use 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n=t(\"../../registry\"),a=t(\"../../components/grid\");e.exports={moduleType:\"trace\",name:\"splom\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:t(\"./hover\").hoverPoints,selectPoints:t(\"./select\"),editStyle:t(\"./edit_style\"),meta:{}},n.register(a)},{\"../../components/grid\":634,\"../../registry\":846,\"../scatter/marker_colorbar\":1138,\"./attributes\":1215,\"./base_plot\":1216,\"./calc\":1217,\"./defaults\":1218,\"./edit_style\":1219,\"./hover\":1221,\"./plot\":1223,\"./select\":1225}],1223:[function(t,e,r){\"use strict\";var n=t(\"regl-splom\"),a=t(\"../../lib\"),i=t(\"../../plots/cartesian/axis_ids\");function o(t,e){var 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{\"../../plots/gl3d\":805,\"./attributes\":1226,\"./calc\":1227,\"./convert\":1228,\"./defaults\":1229}],1231:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var 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0},{\"../../components/color\":592,\"../../components/colorscale/attributes\":599,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841}],1244:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":600}],1245:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-homography\"),o=t(\"ndarray-fill\"),s=t(\"../../lib\").isArrayOrTypedArray,l=t(\"../../lib/gl_format_color\").parseColorScale,c=t(\"../../lib/str2rgbarray\"),u=t(\"../../components/colorscale\").extractOpts,h=t(\"../heatmap/interp2d\"),f=t(\"../heatmap/find_empties\");function p(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var d=p.prototype;d.getXat=function(t,e,r,n){var a=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},d.getYat=function(t,e,r,n){var a=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},d.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<g.length;r++){var n=g[r];e.push(v(t,n))}return e}function y(t){for(var e=m(t),r=t,n=0;n<g.length;n++)if(e[n]>0){r=g[n];break}return r}function x(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<g.length;i++)a*=Math.pow(g[i],Math.max(r[i],n[i]));return a}}d.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],_=b[9],w=b[13];function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=x(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<_;)r*=2;for(;r>w;)r--,r/=y(r),++r<_&&(r=w);var n=Math.round(r/t);return n>1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),c=1+n+1,u=1+o+1,h=a(new Float32Array(c*u),[c,u]),f=0;f<t.length;++f){this.surface.padField(h,t[f]);var p=a(new Float32Array(s*l),[s,l]);i(p,h,[e,0,0,0,r,0,0,0,1]),t[f]=p}},d.setContourLevels=function(){var t,e,r,n=[[],[],[]],a=[!1,!1,!1],i=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(i=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(a[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(i){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=a[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},d.update=function(t){var e,r,n,i,s=this.scene,p=s.fullSceneLayout,d=this.surface,g=t.opacity,v=l(t,g),m=s.dataScale,y=t.z[0].length,x=t._ylength,b=s.contourLevels;this.data=t;var _=[];for(e=0;e<3;e++)for(_[e]=[],r=0;r<y;r++)_[e][r]=[];for(r=0;r<y;r++)for(n=0;n<x;n++)_[0][r][n]=this.getXat(r,n,t.xcalendar,p.xaxis),_[1][r][n]=this.getYat(r,n,t.ycalendar,p.yaxis),_[2][r][n]=this.getZat(r,n,t.zcalendar,p.zaxis);if(t.connectgaps)for(t._emptypoints=f(_[2]),h(_[2],t._emptypoints),t._interpolatedZ=[],r=0;r<y;r++)for(t._interpolatedZ[r]=[],n=0;n<x;n++)t._interpolatedZ[r][n]=_[2][r][n];for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null==(i=_[e][r][n])?_[e][r][n]=NaN:i=_[e][r][n]*=m[e];for(e=0;e<3;e++)for(r=0;r<y;r++)for(n=0;n<x;n++)null!=(i=_[e][r][n])&&(this.minValues[e]>i&&(this.minValues[e]=i),this.maxValues[e]<i&&(this.maxValues[e]=i));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<y;r++)for(n=0;n<x;n++)null!=(i=_[e][r][n])&&(_[e][r][n]-=this.objectOffset[e]);var k=[a(new Float32Array(y*x),[y,x]),a(new Float32Array(y*x),[y,x]),a(new Float32Array(y*x),[y,x])];o(k[0],function(t,e){return _[0][t][e]}),o(k[1],function(t,e){return _[1][t][e]}),o(k[2],function(t,e){return _[2][t][e]}),_=[];var T={colormap:v,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],opacity:t.opacity},M=u(t);if(T.intensityBounds=[M.min,M.max],t.surfacecolor){var A=a(new Float32Array(y*x),[y,x]);o(A,function(e,r){return t.surfacecolor[r][e]}),k.push(A)}else T.intensityBounds[0]*=m[2],T.intensityBounds[1]*=m[2];(w<k[0].shape[0]||w<k[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(k[0].shape[0],0),this.dataScaleY=this.estimateScale(k[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(k)),t.surfacecolor&&(T.intensity=k.pop());var S=[!0,!0,!0],E=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var L=t.contours[E[e]];S[e]=L.highlight,T.showContour[e]=L.show||L.highlight,T.showContour[e]&&(T.contourProject[e]=[L.project.x,L.project.y,L.project.z],L.show?(this.showContour[e]=!0,T.levels[e]=b[e],d.highlightColor[e]=T.contourColor[e]=c(L.color),L.usecolormap?d.highlightTint[e]=T.contourTint[e]=0:d.highlightTint[e]=T.contourTint[e]=1,T.contourWidth[e]=L.width,this.contourStart[e]=L.start,this.contourEnd[e]=L.end,this.contourSize[e]=L.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),L.highlight&&(T.dynamicColor[e]=c(L.highlightcolor),T.dynamicWidth[e]=L.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]})(v)&&(T.vertexColor=!0),T.objectOffset=this.objectOffset,T.coords=k,d.update(T),d.visible=t.visible,d.enableDynamic=S,d.enableHighlight=S,d.snapToData=!0,\"lighting\"in t&&(d.ambientLight=t.lighting.ambient,d.diffuseLight=t.lighting.diffuse,d.specularLight=t.lighting.specular,d.roughness=t.lighting.roughness,d.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(d.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z]),g&&g<1&&(d.supportsTransparency=!0)},d.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new p(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{\"../../components/colorscale\":604,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../lib/str2rgbarray\":740,\"../heatmap/find_empties\":1006,\"../heatmap/interp2d\":1009,\"gl-surface3d\":318,ndarray:452,\"ndarray-fill\":442,\"ndarray-homography\":444}],1246:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r){e in t&&!(r in 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m=f(\"pathbar.visible\");s(t,e,c,f,\"auto\",{hasPathbar:m,moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),f(\"textposition\");var y=-1!==e.textposition.indexOf(\"bottom\");f(\"marker.line.width\")&&f(\"marker.line.color\",c.paper_bgcolor);var x=f(\"marker.colors\"),b=e._hasColorscale=u(t,\"marker\",\"colors\")||(t.marker||{}).coloraxis;b?h(t,e,c,f,{prefix:\"marker.\",cLetter:\"c\"}):f(\"marker.depthfade\",!(x||[]).length);var _=2*e.textfont.size;f(\"marker.pad.t\",y?_/4:_),f(\"marker.pad.l\",_/4),f(\"marker.pad.r\",_/4),f(\"marker.pad.b\",y?_:_/4),b&&h(t,e,c,f,{prefix:\"marker.\",cLetter:\"c\"}),e._hovered={marker:{line:{width:2,color:i.contrast(c.paper_bgcolor)}}},m&&(f(\"pathbar.thickness\",e.pathbar.textfont.size+2*l),f(\"pathbar.side\"),f(\"pathbar.edgeshape\")),o(e,c,f),e._length=null}else 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d=a.ensureSingle(f,\"g\",\"slicetext\"),k=a.ensureSingle(d,\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),E=a.ensureUniformFontSize(t,u.determineTextFont(L,s,S.font,{onPathbar:!0}));k.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",\"start\").call(i.font,E).call(o.convertToTspans,t),s.textBB=i.bBox(k.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?k.transition().attrTween(\"transform\",function(t){var e=M(t,!0,A,[g,v]);return function(t){return _(e(t))}}):k.attr(\"transform\",_(s))})}},{\"../../components/drawing\":613,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../sunburst/fx\":1236,\"../sunburst/helpers\":1237,\"./constants\":1260,\"./partition\":1267,\"./style\":1269,d3:165}],1263:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../lib\"),i=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),h=t(\"../sunburst/fx\"),f=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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     "metadata": {},
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   ],
   "source": [
    "fig = px.pie(df, values=x, names=labels,title='Pie chart')\n",
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### What is the ratio b/w restaurants that provide and do not provide table booking ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x5b05599108>,\n",
       "  <matplotlib.patches.Wedge at 0x5b04b66ac8>],\n",
       " [Text(-0.9856961240827233, 0.4882654513359477, ''),\n",
       "  Text(1.0753048626356982, -0.5326532196392153, '')],\n",
       " [Text(-0.537652431317849, 0.26632660981960776, '85.4%'),\n",
       "  Text(0.6272611698708239, -0.31071437812287556, '14.6%')])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=df['book_table'].value_counts()\n",
    "labels=['not book','book']\n",
    "plt.pie(x,explode=[0.0,0.1],autopct='%1.1f%%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### using plotly, #### What is the ratio b/w restaurants that provide and do not provide table booking ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.graph_objs as go\n",
    "from plotly.offline import iplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=df['book_table'].value_counts()\n",
    "labels=['not book','book']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "trace=go.Pie(labels=labels, values=x,\n",
    "               hoverinfo='label+percent', textinfo='value', \n",
    "               textfont=dict(size=25),\n",
    "              pull=[0, 0, 0,0.2, 0]\n",
    "               )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "hoverinfo": "label+percent",
         "labels": [
          "not book",
          "book"
         ],
         "pull": [
          0,
          0,
          0,
          0.2,
          0
         ],
         "textfont": {
          "size": 25
         },
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[1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('29a8e1cc-8e1d-410e-8644-c1b5481c6d02');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iplot([trace])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### How many types of restaurants we have?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "151"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['rest_type'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['rest_type'].dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['rest_type'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "87"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df['rest_type'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,12))\n",
    "df['rest_type'].value_counts().nlargest(20).plot.bar(color='red')\n",
    "plt.gcf().autofmt_xdate()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### now using plotly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "trace1 = go.Bar( \n",
    "        x = df['rest_type'].value_counts().nlargest(20).index,\n",
    "        y = df['rest_type'].value_counts().nlargest(20),\n",
    "        name= 'rest_type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "name": "rest_type",
         "type": "bar",
         "x": [
          "Quick Bites",
          "Casual Dining",
          "Cafe",
          "Dessert Parlor",
          "Delivery",
          "Takeaway, Delivery",
          "Casual Dining, Bar",
          "Bakery",
          "Beverage Shop",
          "Bar",
          "Food Court",
          "Bar, Casual Dining",
          "Lounge",
          "Pub",
          "Sweet Shop",
          "Fine Dining",
          "Casual Dining, Cafe",
          "Pub, Casual Dining",
          "Beverage Shop, Quick Bites",
          "Bakery, Quick Bites"
         ],
         "y": [
          15073,
          9923,
          3527,
          1939,
          1791,
          1472,
          1141,
          775,
          704,
          661,
          526,
          420,
          396,
          356,
          351,
          343,
          319,
          255,
          244,
          234
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
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\"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('0ef799af-1223-484c-bfbc-3085ba50bd0d');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
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       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iplot([trace1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### At all, Banglore is known as the tech capital of India,people having busy and modern life will prefer Quick Bites.\n",
    "##### We can observe tha Quick Bites type restaurants dominates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### highest voted restaurant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b07918488>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('name')['votes'].max().nlargest(10).plot.bar()\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### now using plotly to  provide interactive graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "trace1 = go.Bar( \n",
    "        x = df.groupby('name')['votes'].max().nlargest(10).index,\n",
    "        y = df.groupby('name')['votes'].max().nlargest(10),\n",
    "        name= 'name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "name": "name",
         "type": "bar",
         "x": [
          "Byg Brewski Brewing Company",
          "Toit",
          "Truffles",
          "AB's - Absolute Barbecues",
          "The Black Pearl",
          "Big Pitcher",
          "Onesta",
          "Arbor Brewing Company",
          "Empire Restaurant",
          "Prost Brew Pub"
         ],
         "y": [
          16832,
          14956,
          14726,
          12121,
          10550,
          9300,
          9085,
          8419,
          8304,
          7871
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
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       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
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       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iplot([trace1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### total restaurants at different locations of Bengalore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "location\n",
       "BTM                  [Sankranthi Veg Restaurant, Hearts Unlock Cafe...\n",
       "Banashankari         [Jalsa, Spice Elephant, San Churro Cafe, Addhu...\n",
       "Banaswadi            [Cafe Nibras, The Sanctuary, Crunch Pizzas, Pi...\n",
       "Bannerghatta Road    [Deja Vu Resto Bar, Fattoush, Empire Restauran...\n",
       "Basavanagudi         [Grand Village, Timepass Dinner, Srinathji's C...\n",
       "                                           ...                        \n",
       "West Bangalore       [FreshMenu, Fit Dish Fetish, Garden City Mobil...\n",
       "Whitefield           [Imperio Cafe, Night Diaries, LocalHost, AB's ...\n",
       "Wilson Garden        [Tree Top, Sahana's (Nati Style), Karavali Kol...\n",
       "Yelahanka            [Prashanth Naati Corner, Cheta's Kitchen, Twis...\n",
       "Yeshwantpur          [Chef's Bank, New Agarwal Bhavan, Fishing Boat...\n",
       "Name: name, Length: 92, dtype: object"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('location')['name'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurant=[]\n",
    "location=[]\n",
    "for key,location_df in df.groupby('location'):\n",
    "    location.append(key)\n",
    "    restaurant.append(len(location_df['name'].unique()))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>restaurant</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>location</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bellandur</th>\n",
       "      <td>284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jayanagar</th>\n",
       "      <td>311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bannerghatta Road</th>\n",
       "      <td>362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JP Nagar</th>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiranagar</th>\n",
       "      <td>467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Electronic City</th>\n",
       "      <td>518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marathahalli</th>\n",
       "      <td>525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HSR</th>\n",
       "      <td>553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BTM</th>\n",
       "      <td>581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Whitefield</th>\n",
       "      <td>634</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   restaurant\n",
       "location                     \n",
       "Bellandur                 284\n",
       "Jayanagar                 311\n",
       "Bannerghatta Road         362\n",
       "JP Nagar                  400\n",
       "Indiranagar               467\n",
       "Electronic City           518\n",
       "Marathahalli              525\n",
       "HSR                       553\n",
       "BTM                       581\n",
       "Whitefield                634"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_total=pd.DataFrame(zip(location,restaurant))\n",
    "df_total.columns=['location','restaurant']\n",
    "df_total.set_index('location',inplace=True)\n",
    "df_total.sort_values(by='restaurant').tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b077ce6c8>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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Y29ujuLi4ynYHB4d7HlOtViMtLe0Byv5HaWlpvY9Rl7rukd+P+tbYEDXIpQ451CCXOuRQg1zqkEMNcqnjQWuoM9C/+OIL3Lx5E1OmTIGtrS1UKhUef/xxnDx5Er6+vkhMTESvXr3Qtm1bREdHIzg4GNnZ2dDpdHXebrG2tq73m09LS2uwE2lMcqlRDnXIoQZAHnXIoQZAHnXIoQZAHnXUVUNtgV9noD/77LOYO3cuxo0bB41Gg/DwcLRv3x7z5s1DTEwMPD09ERAQAHNzc/j4+CAwMBA6nQ6RkZEP9k6IiOiB1BnoTZo0werVq6tt37ZtW7VtoaGhCA0NbZjKiIjoX+HAIiIihZB1oJeWa+v8nvsZ1ENE1Bjcdy8XKdR3QA/AQT1E1HjI+gqdiIjuHwOdiEghGOhERArBQCciUggGOhGRQjDQiYgUgoFORKQQDHQiIoVgoBMRKQQDnYhIIRjoREQKwUAnIlIIBjoRkUIw0ImIFIKBTkSkEAx0IiKFYKATESkEA52ISCEY6ERECsFAJyJSCAY6EZFCMNCJiBTC4l47y8vLER4ejhs3bqCsrAxvvPEGHnnkEcyZMwcqlQpeXl6YP38+zMzMEBsbiyNHjsDCwgLh4eHo3LmzWO+BiIhQR6Dv27cPTZs2RXR0NPLz8zFs2DB07NgRM2bMgK+vLyIjI3Ho0CG4uroiOTkZCQkJyMrKQmhoKPbu3SvWeyAiItQR6M899xwCAgIMX5ubm+PcuXPo2bMnAMDf3x9JSUnw8PBA3759oVKp4OrqCq1Wi7y8PDg5ORm3eiIiMrhnoNvZ2QEAioqK8Oabb2LGjBlYsWIFVCqVYX9hYSGKiorQtGnTKj9XWFhYZ6Cr1WqkpaXVut/b2/u+38i93KuN+9EQdcihBrnUIYca5FKHHGqQSx1yqEEudTxoDfcMdADIysrCtGnTMHbsWAwePBjR0dGGfcXFxXB0dIS9vT2Ki4urbHdwcKizcWtr6wY7CfciRhumUAMgjzrkUAMgjzrkUAMgjzrkUAMgjzrqqqG2wL9nL5dbt27h9ddfx6xZszBixAgAQKdOnXDy5EkAQGJiInx8fNCtWzccO3YMOp0OmZmZ0Ol0vN1CRCSye16hx8XF4e+//8YHH3yADz74AADw7rvvIioqCjExMfD09ERAQADMzc3h4+ODwMBA6HQ6REZGilI8ERH9456BHhERgYiIiGrbt23bVm1baGgoQkNDG64yIiL6VziwiIhIIRjoREQKwUAnIlIIBjoRkUIw0ImIFIKBTkSkEAx0IiKFYKATESkEA52ISCEY6ERECsFAJyJSCAY6EZFCMNCJiBSCgU5EpBAMdCIihWCgExEpBAOdiEghGOhERArBQCciUggGOhGRQjDQiYgUgoFORKQQDHQiIoVgoBMRKcR9Bfqvv/6KoKAgAMCVK1cwZswYjB07FvPnz4dOpwMAxMbGYsSIERg9ejRSU1ONVzEREdWozkD/6KOPEBERAbVaDQBYtmwZZsyYgR07dkAQBBw6dAjnzp1DcnIyEhISEBMTg4ULFxq9cCIiqqrOQG/bti3Wrl1r+PrcuXPo2bMnAMDf3x/Hjx9HSkoK+vbtC5VKBVdXV2i1WuTl5RmvaiIiqqbOQA8ICICFhYXha0EQoFKpAAB2dnYoLCxEUVER7O3tDd+j305EROKxqPtbqjIz++dvQHFxMRwdHWFvb4/i4uIq2x0cHOo8llqtRlpaWq37vb29/215NbpXG/ejIeqQQw1yqUMONcilDjnUIJc65FCDXOp40Br+daB36tQJJ0+ehK+vLxITE9GrVy+0bdsW0dHRCA4ORnZ2NnQ6HZycnOo8lrW1dYOdhHsRow1TqAGQRx1yqAGQRx1yqAGQRx1yqAGQRx111VBb4P/rQJ89ezbmzZuHmJgYeHp6IiAgAObm5vDx8UFgYCB0Oh0iIyP/7WGJiKie7ivQ3dzcsHv3bgCAh4cHtm3bVu17QkNDERoa2rDVERHRfePAIiIihWCgExEpBAOdiEghGOhERArBQCciUggGOhGRQjDQiYgUgoFORKQQDHQiIoVgoBMRKQQDnYhIIRjoREQKwUAnIlIIBjoRkUIw0ImIFIKBTkSkEAx0IiKFYKATESkEA52ISCEY6ERECsFAJyJSCAY6EZFCMNCJiBSCgU5EpBAMdCIihbBoyIPpdDosWLAAf/zxB6ysrBAVFQV3d/eGbIKIiGrRoFfoBw8eRFlZGXbt2oWwsDAsX768IQ9PRET30KCBnpKSAj8/PwBAly5d8NtvvzXk4YmI6B4aNNCLiopgb29v+Nrc3BwajaYhmyAiolqoBEEQGupgy5Ytw5NPPokXXngBAODv74/ExMRav//MmTOwtrZuqOaJiBoFtVqNLl26VNveoA9Fu3XrhsOHD+OFF17AmTNn0KFDh3t+f00FERHRg2nQK3R9L5cLFy5AEAQsXboU7du3b6jDExHRPTRooBMRkXQ4sIiISCEY6ERECsFAJyJSCAY61dvGjRulLoGI0MDdFsWyb98+DBkyRNIaBEGASqWSpO3Y2Nha902fPl3ESiocPXoUEyZMgLm5uehtVyblOQGA4cOHY8iQIRg6dCiaNm0qWR3UeJlkoO/evVvyQA8ODkZ8fLwkbTdv3hxAxdw5bm5u6NatG86ePYusrCxJ6snPz4efnx/c3NygUqmgUqmwc+dO0euQ8pwAwObNm/HVV19h6tSpcHFxwciRI/HUU0+JWkN2djZatWqFS5cuVdvn4eEhWh15eXmwsbFBkyZNDNt27NiBsWPHilbDF198Ueu+oUOHKrIGkwz0srIyDB06FB4eHjAzq7hrtGrVKlFrcHBwwMGDB6vUINY/mNGjRwMADhw4gAULFgAAhgwZgokTJ4rS/t3i4uIkafduUp4TAHB0dMS4cePQq1cvfPDBBwgLC4ObmxumTZuG/v37i1JDfHw8wsPDERkZWWW7SqXCli1bRKlhw4YN2LNnD7RaLZYsWQJ3d3f897//hb29vaiBHhERAVdXVwwYMADW1taQoof2xYsXAVSMire1tUXXrl1x9uxZaDQaBrre22+/LXUJyMvLwyeffGL4Wsx/MHr5+fm4evUq2rZti4yMDBQVFYnavp5Go8G3336L8vJyAEBOTg4WLVokeh1Sn5Pt27fjyy+/hL29PUaOHInly5dDo9Fg1KhRogV6eHg4AGDr1q2itFeT/fv3Y//+/cjPz8fMmTNx69YthISEYMSIEaLWkZiYiP379+PIkSNwcXHB4MGD4evrK2oNYWFhACo+PX744YeG7a+//rpR2jPJQM/MzJS6hGr/YMrKykSvITw8HDNnzsTNmzfRokULREdHi14DAMyePRsDBgzA6dOn4ezsjDt37khSh9TnJCcnB6tWrUKbNm0M2ywtLUX949a3b99a9x07dkyUGh566CFYWVmhZcuWuHnzJlavXo3HHntMlLYrc3JyQlBQEIKCgnD16lXs27cPGzZswGOPPWYIWrHk5eXh77//hqOjI/Lz81FQUGCUdkwy0PUfYwRBQFpaGpo2bSraPTG9nTt3YtOmTdBoNBAEAZaWlvjuu+9ErcHHxwd79uwxfK2/QhabjY0NpkyZgsuXL2PZsmWifqyuTKpzotVqodVqcfHiRbRq1QplZWUQBAEhISHYsmULunbtavQa9MQK7Xup/GDaxcVFkjC/m5mZGSwtLVFUVIQrV66I3v7UqVPxyiuvwN7eHkVFRVi6dKlR2jHJQK/811UQBEyZMkX0Gnbv3o2tW7di/fr1eO6556p81BfL3QFmYWGB77//XvQ6BEFAbm4u7ty5gzt37uCvv/4SvQZAunOyd+9exMXF4datW3juuecgCALMzMzg4+MjSvuVzZw5s9aePmI9Z7p58yZ27doFQRCQk5ODXbt2GfYFBgaKUgMA5Obm4ptvvsG3334LW1tbvPjii4iPj68yxbdYAgICEBAQgNu3b6Np06ZG6xFmkoFe+aN0bm4url+/LnoNzZo1g7OzM4qLi+Hr64s1a9aIXoMc/qgAFV0lDxw4gCFDhuDpp58W/dOSnlTnZNSoURg1ahT27Nkj+n3iu+kfmEtp8ODByM3NrfZabP369YOHhweef/55NG/eHOXl5di/fz8A8f6wBAYG1voH1hg9wUwy0J977jmoVCoIggAbGxsEBweLXoO+R4W+i15eXp7oNcjhjwoA9OjRAz169AAAPP3005LUAEh3ThISEjBy5EhcuXIFMTExVfbNnDlTlBr0evbsCQAoKCjAsWPHDJ/ecnJyDPuM7e6xEOnp6bC0tES7du1EaV/vP//5j+H1rVu3RG1b7+7/H4zNJAP9hx9+kLoEREVF4erVqwgLC0N8fDwWLlwoeg1y+KMCAH5+fsjLy0OzZs1QUFAAKysrNG/eHPPnz0efPn1Eq0Oqc9KqVSsAgKenpyjt3Y8333wT7dq1w4ULF2BtbQ1bW1vR2k5KSsK7776LAwcOYM+ePdi4cSOcnJwwcuRIjBw5UrQ6XFxc8Morr4jWXk1at24NoOI2VHR0NPLz8xEQEIBHH33UsK8hmdT0uUFBQbV+fBG7y+DdAwYsLCzQqlUrUe+bFhUV4dq1a3j44YcRHx+PAQMGiN4tC6i4Cp0+fTo8PT1x9epVxMbGYtq0aZg1axZ2794tWh1SnpNjx46hT58+UKlUOH/+PHJycuDv72/0dmvz6quvYsuWLZg7dy6WLFmCcePG4dNPPxWl7ddffx3Lly+Hs7MzBg4ciE2bNsHFxQVBQUFV7qcbm/53IAeTJ0/GxIkT8cEHH2DhwoWYM2eOUf5tmNQVuv6Ka926dXj66afRvXt3pKam4vDhw6LXsn//fpSUlKBr165ITU2FWq2GhYUFOnXqZOgLbGy2trY4ffo0/vzzT7Rr107U3hSVZWdnG65O27Zti6ysLLi7u4s+FYBU52THjh3Yt28funTpYnjgtm7dOmRlZYn6EPBuarUaJSUlUKlUonYlValUcHZ2xrVr12BpaQl3d3cAEP3/h5KSEly+fLnGAUViDjgDKs5F7969sX79enh6ehpt6U2TCnR9aNy6dcuwbukzzzwjySAKjUaDLVu2wMzMDDqdDiEhIdi4caOoD6XmzZsHR0dH9OnTB8nJyYiIiMB7770nWvt6LVq0wMqVK9G1a1f88ssvaN68OZKSkmBpaSlqHVKdk88//xzbtm0z/CPt2LEj4uPj8eqrr0oW6OPGjcPmzZvRp08f9OvXD927dxetbY1GA41Gg8OHDxv6xf/9998oKSkRrQYAuHz5MiIjI6sFuhSDAK2srPDjjz9Cp9PhzJkzsLKyMko7JhXolSUkJKBz58745ZdfRL0/qFdQUACNRgMrKytoNBpDVz0xB7NcuXIF27dvBwAMGjRIsh4O7733Hnbt2oXExER06NABoaGh+P3330V/ICTVObGxsal2xWVnZwc7OzujtnsvAQEBhtfPP/+8qF31hg0bhhdeeAFarRabN2/GhQsXMGvWLAQFBYlWA1Dxh1Uut1wWL16MFStWID8/H/Hx8YYpOxqaSQb6ypUrER8fj++//x7t27fH+++/L3oNY8eOxeDBg+Hl5YWMjAxMmjQJcXFx8PPzE60G/UdqW1tblJaWQqvVitZ2Zebm5njiiSfg7e0NQRBw4MABvPTSS6LXIdU5sbS0RF5eHpycnAzb8vLyJDsfQMUFz+bNm1FaWmrYdujQIVHaFgQB48ePR5MmTZCSkoKcnBwMGzYMFhbSxo3+D7uxro5rotFoYGFhAScnJ6xYscLo7ZnUQ9HKbt++DbVabfja1dVV9Boqz6XSrFkzaLVaUe8T7tu3D7GxsfDy8sKff/6J0NBQSYJ06tSpKC8vR05ODrRaLZydnbF582bR6wCkOSc///wzlixZgqFDh6JNmzbIysrCnj17MGvWLNFnW9QbPnw41q5dixYtWhi2iRVklQcw7d+/Hy+++CKAilsdYnbj/Pnnn/Hxxx/Dzc0NAQEBhu6Uc+fOFW2sRFhYGFatWoWBAwcaOnTop3k2xh9Yk7xCX7BgARITE+Hs7Gz45Yg9XeuZM2fw2WefVZmQSuyFHoYMGQJ/f39cu3YNbm5uktx6Aip622zbtg3vvo28s9kAABTSSURBVPsu5s2bJ9msj1KdEx8fH6xZswZffvkljhw5gtatWyM2NtYo3dLuV7NmzSRrv/JI7jNnzog+b4reqlWrMH36dPz111+YPHkyPv/8czg5OWHSpEmiBbqbmxuAinmXBg0aZPT2TDLQU1NTcfDgQcMUqVKIiorChAkT8N1336FDhw6i3ju/ceMGNm3aBEdHR4SEhOCJJ57A0aNHERUVhQMHDohWh57+o3RJSQlsbGwkm1NGynPSpk0bSRYXuZv+uUVZWRmCg4PRqVMnw5Wh2IOcAEi64IiFhYVhHMSWLVsMA5sqz9FubIcOHYKzszO2bt2K27dvV9lnjAfmJhno7u7uUKvVkl2RAhVzX7/00ktISkpCaGgoxo8fL1rbYWFhGDZsGDIzM7FmzRpYWlri+++/x7Jly0SrobJnnnkG69atQ8eOHTFq1ChJ5soApD0ncqHvjid2tzw5qvzHpPLtJp1OJ1oNS5cuRVJSEsrKykSZAsEkAz0rKwsDBgww9G+V4paLSqVCeno6SkpKkJGRIep8FSqVyvDXfeDAgejRowe+/PJLo/Vtrcu4ceMMt7769etnOC9ik/KcyMWwYcMAVDyM0y+koB/6Lxb9BGGCIODPP/+scstFzIVo9G1XrkMQBMNsrWLo3LkzOnfujD59+sDT0xM3btxAmzZtjPYpwSQfit64caPaNrHvF6anpyM9PR0tW7bEkiVLMGTIEEyYMEGUtoOCggx974cPH469e/dK8tG2trVNVSoVpk2bJnI10p4ToGJKirNnz+Ktt95CcHAwJk6ceM/5yY1JygfVycnJte4Taz4ZOdUBAN9++y3i4uKg1WoNc1FVnmumoZjkFbocVsjx8vKCl5cXAOCzzz4Tte3K4W1vby/ZfUr92qZ6JSUl+Oijj9C6dWtJAl3KcwIAa9euxccffwwA+N///oeQkBDJAl3KB9Vih2Vt5FIHULHe7O7duxEcHIz//Oc/eOWVVxjoenJYIScuLg4ff/wxbGxsDNvEWlzg9OnThqAoKCioEhpiLnBQeSDTzz//jHnz5mHcuHGYOnWqaDVUJuU5ASoewj388MMAKiZOk/KhvVweVFMFMzMzWFlZGRZRN9bzP5MMdDmskPPNN9/gxx9/lOTB7G+//SZ6m7UpLy9HTEwMTpw4gVWrVqFTp06S1SLlOQEq7peGhYWhS5cuSE1NlfR38cwzzyA2NtbwoFrKUatU0bU1LCwMN2/eRGRkJJ544gmjtGOSgS6HFXJat25d5UqwMfr9998xd+5c+Pn5ISEhQfS5W+4m9TmJiIjAoUOHkJGRgeeffx4DBw6UrJZx48YZXvfr10/0ucipqpkzZyIxMRHe3t7w9PQ02v8bJvlQ9NSpU4aHXxERERg6dChmz54tag0hISHIyspChw4dAFTc1xbzCb4cPP7447Czs0O7du2qjYITu9cRIN05OXz4MAYMGFDj1LBSTc515MgRfPrpp1UmxJLLvCaNiX692ZkzZ+L999+HIAjQ6XSYPHmyUc6HSV6hy2GFnJCQEEnalROxF8Wui1TnRL+Cu5y6Sa5evRpz586t9uCaxFXTerPm5uZGm/3SpK7Q79VjQOzVzmta4kvsxaoPHTqE7du3G2ooKCjAV199JWoNciKHcyKHOYYAYMKECZLNp0PVibXerEldoYsd2vci5RJfeuvWrcO8efOwc+dO+Pr64vjx46LXICdSn5OFCxfi6NGjks4xpL/tY2lpiXnz5uGxxx4z3A6TcrGNxkrs9WZNKtD1I9BqIsX960WLFlVZ4ktszZo1Q9euXbFz504MHz5ckr7XciPlOfn1118ln2NIf9vnySefBCDd4shUobb1Zo01dsSkAl2qBRxqI9USX3qWlpY4deoUNBoNfvzxR9Hv4X7zzTdYvnw5bGxsEB0djc6dO4vafk2kPCdymGNIP0HYBx98UGXgSmN7YC8X+rn4Bw0ahKSkpCrz0xuDSd1D1ysqKsJHH32E3Nxc9O/fH48++qjo84d89913uHz5MpycnLB27Vp0795d9IU2bt68iYyMDLRo0QKrV6/G888/b1iaTwyjR4/Ghg0b8Pfff2PJkiWIi4sTre2afPfdd7hy5QqaNWsmyTkZPXo0Ll++LOkcQwkJCdizZw8uXryIRx55BEDFZFTl5eX4/PPPRa2F/vHqq6+idevWhofURpsbXjBBoaGhQkJCgjBmzBghJSVFGDdunOg1nD171vC6sLBQ9PYFQRDWrVtX5euVK1eK2n5QUJDh9auvvipq2zX58ssvDa+lOCfXr1+v9p/Y1Gq1cO3aNSEiIsJQQ2ZmpqBWq0Wvhf4xfvx4UdoxqVsuegUFBRgxYgT27duHbt261biqt7Ft3LgRN27cwJAhQzBkyBBR2658FZaYmAjgn6swqRYTkOIc3G337t2GcyHFFL7m5uZYunQpLl68iHbt2mHu3Lmi12BlZQU3NzdERkbit99+M/T4SUlJkWQ1q8ZOPye/m5sbfvnlFzz22GOGfcZYQcokAx2AYQrM7OxsSR5Cvf/++/jrr7/w9ddf46233oKTkxNGjRoFX19fo7f98ssvo3fv3tiwYYNh3hQzMzPDPCJiuXbtGmJiYiAIguG1nhSLKZSVlWHo0KHw8PAw/D8h5r3jiIgIjBkzBj169EBycjLeffddfPLJJ6K1X1loaGi12RYZ6OLz8/MzXFwkJycbLny4BF0lERERCA8PR1paGt58802jraBdl1u3biEzMxP5+flo3749vv32W3zxxRdGX2hCfxVmaWlZZdrgd955B++9955R267szTffrPG1VN5++21J21er1YaBboMGDcKmTZskq0UuywI2dl5eXsjOzkaPHj3g5+eHPn364KGHHjJaeyYV6JcuXcKKFSvg5uaGsLAwTJ8+HVeuXMGFCxdEnwhp5MiRsLGxwciRI/HWW28ZPj4FBwcbve3t27dj/fr1+Ouvv/D9998DqLjloX8IJpYuXbpU+VqlUsHJyQmOjo6i1qEfen/p0qVq+8ScQlWr1eKPP/7Ao48+ij/++EPS5df0C2NztkVpbdu2DWVlZfjll1+QnJyMhIQEABWj3Y0xfa5J9XIZM2aMYdHXd999t8qir7t37xa1lsuXL0s+4VFcXJxkU9UCFQtt6Fem0cvPz8fw4cPx+uuvi1bH559/jmHDhtW44IaY63ympaUhIiICubm5cHZ2RlRUFDp27Cha+5Vt374dBQUFsLS0xMGDB9GkSROOHJVQUVERjh8/jtOnT+PcuXN46KGHal0gpj5M6gpdDou+6l28eBGLFy9GeXm5ZMPuR48eja+//lqyoe76VZMq0+l0CAoKEjXQfX19kZmZieHDh4vWZk2OHz+OvXv3SlqDXvv27eHr6yv5soCN3aZNm3DkyBEUFhaid+/e6N+/P8LCwow2M6lJBbocFn3Vk8Owe6mHut9Nq9UiJSXF6IMn7vbf//4XQEXvp+LiYnTo0AHp6elo0aKFqKNnjx49igkTJhhud0hp7dq16NWrFwDg0UcflbiaxmvdunXw8/PDlClT0KNHD6NPMW1SgS6HRV/15DLsXurpBypTq9XYtm0bIiIiRG1XP3/JtGnTsGLFCtjb2+POnTui97TJz8+Hn58f3NzcDCvTSDGNMPDPuq6Ve/xI0fOosTtx4gR+/vlnJCYmIiYmBi1atIC/vz/69etnlInbTCrQ//e//xleV54GQIopAaQedq8n9fQDlTVp0gRr1qyRrP3s7GxDF7EmTZqIutI9UHFVXPkKTIqFV/ReeeUVydqmf1haWqJ3797o3bs3ACAxMREbNmzAokWLkJaW1uDtmdRDUTnQ96TIy8vD+fPn0b17dyxfvhyjRo0Sddg9II/pB+Tk/fffR0pKCh5//HGkpqYiICAAr732mtHbzc3NRVFREWbPno333nvPsIjB7NmzsWfPHqO3XxONRoOzZ89Web7CfujiO3v2LFJSUvDzzz8jIyMDHTt2RO/evdGnTx+jXKEz0P+loKCgatvy8vIwfPhwUbos1qaoqEiS0ZFyk56ejvT0dHh6eorWw+TgwYP45JNPcP78eXh7e0MQBJiZmaFr166YMWOGKDXcberUqdUGFrGXi/hee+019O3bF0899RQ6depk9K6sDPQGoO/ZsX37dlHbTUhIwObNm6s8hDTG6DNTkZWVha+//rrKAhNidls8evQoevbsCVtbW9y8eRMtW7YUre27jR8/vtrAok8//VSyekgcJnUPXY6k6tkBAJ9++ik+/PBDtGjRQvS25eitt95C79694eLiIkn7Z8+exYkTJzBnzhwsWbIEjz/+OCZPnixJLXcPLNLPKULKxkCvJ6l6dgAVPW0qD/1v7Ozs7AxdGKXwww8/GHo7rVmzBqNHj5Ys0J999lmsW7cOHTt2RGBgIBwcHCSpg8TFQK8nKXp26CfBKisrQ3BwcJV7c425a5qXlxf2798Pb29vw+/Dw8NDtPZVKhXKyspgZWVlGHAmtsozPOp0OpiZmcHZ2RkWFvyn3hjwLJsgfUiJGVamIC0tDefPn6+ybcuWLaK1P3r0aAwePBgdOnRARkYGQkJCRGtb77fffkNpaSmGDBmCrl27ymJaYxIPH4qasC+++KLK1xYWFmjVqhV8fHwkqkgagYGB1eaUAaRZMSgvLw/Xrl1DmzZt4OTkJGrbehcuXMC+ffuQmpqKHj16YMiQIRz630gw0E1YSEgISktL0aVLF6SmpkKtVsPCwgKdOnVCeHi41OWJ5saNG7XuE/MZQ3p6OubPn4/CwkIMHjwYXl5eGDBggGjt1+TUqVPYunUrsrOzRZ/AjsTHWy4mTKPR4JNPPoGZmRl0Oh1CQkKwceNG2S2mbWxyeTAcFRWFZcuWISIiAiNGjMCkSZMkC/SioiIcOHAAX3/9NUpKSkRfVYukwUA3YQUFBdBoNLCysoJGozEMNWcXNem4u7sb5oW3s7MTvf1vvvkG+/fvR2ZmJp599lksXLgQbm5uotdB0mCgm7Bx48YZPtpnZGRg0qRJiIuLg5+fn9SlNUoPPfQQdu7ciZKSEuzfv1/0hT6Aipkn9aNkL1y4UGUqCDGX4yNp8B66Cfvpp5/w6KOP4urVq2jbti2aNWsGrVYri+lbG6OioiLExcXhwoULaN++PaZMmYKmTZuKWkNycnKt+8RcvYmkwUA3YePGjRN9ugGqrqal7/TYtZTExEA3YePHj8dDDz3EOa8ldveEbfoulCqVStR+8EQMdBP2+eefV9s2bNgwCSqhmqjValhbW0tdBjUiZlIXQA9u8ODB0Gg0uHbtGlxdXdGvXz+pS2qUKk+RGx8fb3gtxUhRatwY6CZs/vz5yMzMRFJSEoqLizF79mypS2qUbt++bXh95MgRw2t++CWxMdBN2NWrV/HWW2/BysoKAwcORGFhodQlNXqVQ9zYixkQ3Y2BbsK0Wi3y8vKgUqlQVFRkeDBK4qoc3AxxkhIfipqw5ORkzJs3D7m5uXBxcUF4eDj69OkjdVmNzlNPPYXevXtDEAT89NNPhtcnT55EUlKS1OVRI8JAV4C8vDw0a9aMV4cS4WAekgsGuglLSkrC5s2bq6yhyX7PRI0XA92EvfTSSwgPD0erVq0M2zw9PSWsiIikxMm5TJiLiwueeuopqcsgIpngFboJmzNnDqysrKqsKRoYGChxVUQkFV6hmzD9PNe3bt2SuBIikgNeoZu427dvV3ko6urqKmE1RCQlXqGbsIULF+Lo0aNwdnY2zO4n9qLIRCQfDHQT9uuvv+LgwYMcIUpEADj036S5u7tXud1CRI0br9BNWFZWFgYMGAB3d3cA4C0XokaOD0VN2I0bN6pta926tQSVEJEc8ArdhGk0Gnz77bcoLy8HAOTk5GDRokUSV0VEUuE9dBOmX9Di9OnTuH79OgoKCiSuiIikxEA3YTY2NpgyZQpatmyJ5cuXc4ARUSPHQDdhgiAgNzcXxcXFuHPnDv766y+pSyIiCTHQTdj06dNx4MABvPzyy3j66afh7+8vdUlEJCH2clGAsrIyCIIAa2trqUshIgnxCt0EXbp0CVOnTkVUVBROnToFPz8/+Pv744svvpC6NCKSEAPdBIWHhyMoKAjdunXD5MmTsWvXLhw4cAA7duyQujQikhD7oZsgCwsLw2LQW7ZsQbt27QAATZo0kbAqIpIar9BNUOXFoK2srAyvdTqdFOUQkUzwCt0E/fnnnwgLC4MgCFVeX7x4UerSiEhC7OVigpKTk2vd17NnTxErISI5YaATESkE76ETESkEA52ISCEY6KQ4n332GVauXFnv45w6dQrnz58HUDHNApHcMdCJarF3717k5OQAAGJjYyWuhqhu7LZIihUfH4/9+/fDwsICPj4+mDVrFm7fvo05c+agsLAQgiBgxYoVsLGxwYIFC6BWq1FQUIBp06ahVatW+PHHH3Hu3Dk88sgjGDlyJJKSkvD7779j8eLFMDc3h7W1NRYvXgydToewsDC0atUK165dwxNPPIGFCxdK/fapEWKgkyJduXIFJ0+exM6dO2FhYYHQ0FAcPnwYSUlJGDhwIMaMGYMTJ04gNTUVzZs3x8SJE+Hr64vTp09j7dq12LRpE/z8/PDCCy/A1dXVcNyIiAgsWbIE3t7eOHjwIJYvX4533nkHly9fxsaNG2Fra4tBgwYhNzcXLVq0kPA3QI0RA50UKS0tDf3794elpSUAwMfHB+np6bh06RJGjBgBAOjduzcAID09HevXr8eePXugUqmg0WhqPW5OTg68vb0BAD169MCqVasAAG3btoW9vT0AoEWLFlCr1UZ7b0S14T10UiRvb2+kpqZCo9FAEAScOnUKHh4eaN++Pc6ePQug4qFndHQ0Vq9ejZdffhnR0dHw9fWFfmiGSqXC3cM0nJ2dDQ9KT506ZZhHp/J0DERS4RU6KZK7uzu6deuGMWPGQKfToXv37hg0aBC6d++O8PBw7Nu3DwCwdOlS/Prrr1iyZAk2bNgAFxcX5OfnAwCefPJJrFy5Em5ubobjRkVFYfHixRAEAebm5li6dKkk74+oJhwpSkSkELzlQkSkEAx0IiKFYKATESkEA52ISCEY6ERECsFAJyJSCAY6EZFCMNCJiBTi/wDihV/PRl7WEwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_total.sort_values(by='restaurant').tail(10).plot.bar()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Bellandur', 'Jayanagar', 'Bannerghatta Road', 'JP Nagar',\n",
       "       'Indiranagar', 'Electronic City', 'Marathahalli', 'HSR', 'BTM',\n",
       "       'Whitefield'],\n",
       "      dtype='object', name='location')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_total.sort_values(by='restaurant').tail(10).index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "trace1 = go.Bar( \n",
    "        x = df_total['restaurant'].nlargest(10).index,\n",
    "        y = df_total['restaurant'].nlargest(10),\n",
    "        name= 'Priority')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "name": "Priority",
         "type": "bar",
         "x": [
          "Whitefield",
          "BTM",
          "HSR",
          "Marathahalli",
          "Electronic City",
          "Indiranagar",
          "JP Nagar",
          "Bannerghatta Road",
          "Jayanagar",
          "Bellandur"
         ],
         "y": [
          634,
          581,
          553,
          525,
          518,
          467,
          400,
          362,
          311,
          284
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iplot([trace1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "url                                0\n",
       "address                            0\n",
       "name                               0\n",
       "online_order                       0\n",
       "book_table                         0\n",
       "rate                               0\n",
       "votes                              0\n",
       "phone                            832\n",
       "location                           0\n",
       "rest_type                        151\n",
       "dish_liked                     20333\n",
       "cuisines                          11\n",
       "approx_cost(for two people)      252\n",
       "reviews_list                       0\n",
       "menu_item                          0\n",
       "listed_in(type)                    0\n",
       "listed_in(city)                    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### different type of restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Quick Bites                  34.302035\n",
       "Casual Dining                22.582040\n",
       "Cafe                          8.026489\n",
       "Dessert Parlor                4.412635\n",
       "Delivery                      4.075827\n",
       "                               ...    \n",
       "Cafe, Food Court              0.004551\n",
       "Bakery, Beverage Shop         0.004551\n",
       "Food Court, Beverage Shop     0.004551\n",
       "Bakery, Food Court            0.004551\n",
       "Quick Bites, Kiosk            0.002276\n",
       "Name: rest_type, Length: 87, dtype: float64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#data is represented in form of percentage \n",
    "(df['rest_type'].value_counts()/len(df))*100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total number of variety of restaurants ie north indian,south Indian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Most popular cuisines of Bangalore')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
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    "cuisines=df['cuisines'].value_counts()[:10]\n",
    "sns.barplot(cuisines,cuisines.index)\n",
    "plt.xlabel('Count')\n",
    "plt.title(\"Most popular cuisines of Bangalore\")"
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    "trace1 = go.Bar( \n",
    "        x = cuisines.index,\n",
    "        y = cuisines,\n",
    "        name= 'Cuisines')"
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     "metadata": {},
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   ],
   "source": [
    "iplot([trace1])"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We can observe that North Indian,chinese,South Indian and Biriyani are most common.\n",
    "### It means Bengalore is more influenced by North Indian culture more than South"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyse Approx cost for 2 people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "66"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df['approx_cost(for two people)'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "252"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['approx_cost(for two people)'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(axis='index',subset=['approx_cost(for two people)'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['approx_cost(for two people)'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['800', '300', '600', '700', '550', '500', '450', '650', '400',\n",
       "       '900', '200', '750', '150', '850', '100', '1,200', '350', '250',\n",
       "       '950', '1,000', '1,500', '1,300', '199', '80', '1,100', '160',\n",
       "       '1,600', '230', '130', '1,700', '1,400', '1,350', '2,200', '2,000',\n",
       "       '1,800', '1,900', '180', '330', '2,500', '2,100', '3,000', '2,800',\n",
       "       '3,400', '50', '40', '1,250', '3,500', '4,000', '2,400', '2,600',\n",
       "       '1,450', '70', '3,200', '560', '240', '360', '6,000', '1,050',\n",
       "       '2,300', '4,100', '120', '5,000', '3,700', '1,650', '2,700',\n",
       "       '4,500'], dtype=object)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['approx_cost(for two people)'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "def is_float(x):\n",
    "    try:\n",
    "        float(x)\n",
    "    except:\n",
    "        return False\n",
    "    return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>address</th>\n",
       "      <th>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
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       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
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       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>https://www.zomato.com/gustoesbeerhouse?contex...</td>\n",
       "      <td>10, 30th Main, Deve Gowda Petrol Bunk Road, 3r...</td>\n",
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       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1</td>\n",
       "      <td>868</td>\n",
       "      <td>080 49653521</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Beer, Wedges, Pizza, Nachos, Salads, Papaya Sa...</td>\n",
       "      <td>Continental, Italian, Mexican, North Indian, C...</td>\n",
       "      <td>1,200</td>\n",
       "      <td>[('Rated 5.0', 'RATED\\n  Has a really calm roo...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Delivery</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>https://www.zomato.com/bangalore/k27-the-pub-b...</td>\n",
       "      <td>27, 27th Cross, 2nd Stage, Banashankari, Banga...</td>\n",
       "      <td>K27 - The Pub</td>\n",
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       "      <td>No</td>\n",
       "      <td>3.1</td>\n",
       "      <td>30</td>\n",
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       "      <td>Banashankari</td>\n",
       "      <td>Bar</td>\n",
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       "      <td>Chinese, North Indian</td>\n",
       "      <td>1,000</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Convenient and Averag...</td>\n",
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       "      <td>Delivery</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>https://www.zomato.com/bangalore/patio-805-jay...</td>\n",
       "      <td>805, Ground Floor, 35C Cross, 9th Main, 4th Bl...</td>\n",
       "      <td>Patio 805</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1</td>\n",
       "      <td>364</td>\n",
       "      <td>+91 8884999805</td>\n",
       "      <td>Jayanagar</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Noodles, Laksa Soup, Coffee, Veg Fritters, Veg...</td>\n",
       "      <td>Thai, Vietnamese, Asian, Chinese</td>\n",
       "      <td>1,200</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  The number of good re...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Delivery</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>https://www.zomato.com/bangalore/chutney-chang...</td>\n",
       "      <td>Cosmopolitan Club, 22nd Cross, 3rd Block, Jaya...</td>\n",
       "      <td>Chutney Chang</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2339</td>\n",
       "      <td>080 22443007\\r\\n+91 9901967373</td>\n",
       "      <td>Jayanagar</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Veg Momos, Brownie Chocolate, Palak Chaat, Mut...</td>\n",
       "      <td>North Indian, Chinese, BBQ</td>\n",
       "      <td>1,500</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Great place for team ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Delivery</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>https://www.zomato.com/bangalore/toscano-jayan...</td>\n",
       "      <td>359/38,Next to Fabindia, 7th Cross, 1st Block,...</td>\n",
       "      <td>Toscano</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1129</td>\n",
       "      <td>080 41558423\\r\\n+91 7619320074</td>\n",
       "      <td>Jayanagar</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Pizza, Pasta, Salads, Calamari, Ravioli, Pumpk...</td>\n",
       "      <td>Italian, Salad</td>\n",
       "      <td>1,300</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Saturday Night Dinner...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Delivery</td>\n",
       "      <td>Banashankari</td>\n",
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       "      <th>...</th>\n",
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       "      <th>51707</th>\n",
       "      <td>https://www.zomato.com/bangalore/m-bar-bengalu...</td>\n",
       "      <td>Bengaluru Marriott Hotel, 75, 8th Road, EPIP A...</td>\n",
       "      <td>M Bar - Bengaluru Marriott Hotel Whitefield</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.9</td>\n",
       "      <td>77</td>\n",
       "      <td>080 49435000</td>\n",
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       "      <td>Fine Dining, Bar</td>\n",
       "      <td>Rooftop Ambience</td>\n",
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       "      <td>2,000</td>\n",
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       "      <td>Pubs and bars</td>\n",
       "      <td>Whitefield</td>\n",
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       "      <th>51708</th>\n",
       "      <td>https://www.zomato.com/bangalore/keys-cafe-key...</td>\n",
       "      <td>Keys Hotel, 6, 1st Phase Industrial Area, Near...</td>\n",
       "      <td>Keys Cafe - Keys Hotel</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2.8</td>\n",
       "      <td>161</td>\n",
       "      <td>080 39451000\\n+91 8884038484</td>\n",
       "      <td>Whitefield</td>\n",
       "      <td>Casual Dining, Bar</td>\n",
       "      <td>Salads, Coffee, Breakfast Buffet, Halwa, Chick...</td>\n",
       "      <td>Chinese, Continental, North Indian</td>\n",
       "      <td>1,200</td>\n",
       "      <td>[('Rated 3.0', 'RATED\\n  Place is good not tha...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Pubs and bars</td>\n",
       "      <td>Whitefield</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51712</th>\n",
       "      <td>https://www.zomato.com/bangalore/best-brews-fo...</td>\n",
       "      <td>Four Points by Sheraton Bengaluru, 43/3, White...</td>\n",
       "      <td>Best Brews - Four Points by Sheraton Bengaluru...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.6</td>\n",
       "      <td>27</td>\n",
       "      <td>080 40301477</td>\n",
       "      <td>Whitefield</td>\n",
       "      <td>Bar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Continental</td>\n",
       "      <td>1,500</td>\n",
       "      <td>[('Rated 5.0', \"RATED\\n  Food and service are ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Pubs and bars</td>\n",
       "      <td>Whitefield</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51715</th>\n",
       "      <td>https://www.zomato.com/bangalore/chime-sherato...</td>\n",
       "      <td>Sheraton Grand Bengaluru Whitefield Hotel &amp; Co...</td>\n",
       "      <td>Chime - Sheraton Grand Bengaluru Whitefield Ho...</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.3</td>\n",
       "      <td>236</td>\n",
       "      <td>080 49652769</td>\n",
       "      <td>ITPL Main Road, Whitefield</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Cocktails, Pizza, Buttermilk</td>\n",
       "      <td>Finger Food</td>\n",
       "      <td>2,500</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Nice and friendly pla...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Pubs and bars</td>\n",
       "      <td>Whitefield</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51716</th>\n",
       "      <td>https://www.zomato.com/bangalore/the-nest-the-...</td>\n",
       "      <td>ITPL Main Road, KIADB Export Promotion Industr...</td>\n",
       "      <td>The Nest - The Den Bengaluru</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.4</td>\n",
       "      <td>13</td>\n",
       "      <td>+91 8071117272</td>\n",
       "      <td>ITPL Main Road, Whitefield</td>\n",
       "      <td>Bar, Casual Dining</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Finger Food, North Indian, Continental</td>\n",
       "      <td>1,500</td>\n",
       "      <td>[('Rated 5.0', 'RATED\\n  Great ambience , look...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Pubs and bars</td>\n",
       "      <td>Whitefield</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6798 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     url  \\\n",
       "67     https://www.zomato.com/gustoesbeerhouse?contex...   \n",
       "119    https://www.zomato.com/bangalore/k27-the-pub-b...   \n",
       "166    https://www.zomato.com/bangalore/patio-805-jay...   \n",
       "207    https://www.zomato.com/bangalore/chutney-chang...   \n",
       "217    https://www.zomato.com/bangalore/toscano-jayan...   \n",
       "...                                                  ...   \n",
       "51707  https://www.zomato.com/bangalore/m-bar-bengalu...   \n",
       "51708  https://www.zomato.com/bangalore/keys-cafe-key...   \n",
       "51712  https://www.zomato.com/bangalore/best-brews-fo...   \n",
       "51715  https://www.zomato.com/bangalore/chime-sherato...   \n",
       "51716  https://www.zomato.com/bangalore/the-nest-the-...   \n",
       "\n",
       "                                                 address  \\\n",
       "67     10, 30th Main, Deve Gowda Petrol Bunk Road, 3r...   \n",
       "119    27, 27th Cross, 2nd Stage, Banashankari, Banga...   \n",
       "166    805, Ground Floor, 35C Cross, 9th Main, 4th Bl...   \n",
       "207    Cosmopolitan Club, 22nd Cross, 3rd Block, Jaya...   \n",
       "217    359/38,Next to Fabindia, 7th Cross, 1st Block,...   \n",
       "...                                                  ...   \n",
       "51707  Bengaluru Marriott Hotel, 75, 8th Road, EPIP A...   \n",
       "51708  Keys Hotel, 6, 1st Phase Industrial Area, Near...   \n",
       "51712  Four Points by Sheraton Bengaluru, 43/3, White...   \n",
       "51715  Sheraton Grand Bengaluru Whitefield Hotel & Co...   \n",
       "51716  ITPL Main Road, KIADB Export Promotion Industr...   \n",
       "\n",
       "                                                    name online_order  \\\n",
       "67                                    Gustoes Beer House           No   \n",
       "119                                        K27 - The Pub           No   \n",
       "166                                            Patio 805          Yes   \n",
       "207                                        Chutney Chang          Yes   \n",
       "217                                              Toscano          Yes   \n",
       "...                                                  ...          ...   \n",
       "51707        M Bar - Bengaluru Marriott Hotel Whitefield           No   \n",
       "51708                             Keys Cafe - Keys Hotel           No   \n",
       "51712  Best Brews - Four Points by Sheraton Bengaluru...           No   \n",
       "51715  Chime - Sheraton Grand Bengaluru Whitefield Ho...           No   \n",
       "51716                       The Nest - The Den Bengaluru           No   \n",
       "\n",
       "      book_table  rate  votes                           phone  \\\n",
       "67            No   4.1    868                    080 49653521   \n",
       "119           No   3.1     30                  +91 9980097472   \n",
       "166          Yes   4.1    364                  +91 8884999805   \n",
       "207          Yes   4.1   2339  080 22443007\\r\\n+91 9901967373   \n",
       "217          Yes   4.3   1129  080 41558423\\r\\n+91 7619320074   \n",
       "...          ...   ...    ...                             ...   \n",
       "51707         No   3.9     77                    080 49435000   \n",
       "51708         No   2.8    161    080 39451000\\n+91 8884038484   \n",
       "51712         No   3.6     27                    080 40301477   \n",
       "51715        Yes   4.3    236                    080 49652769   \n",
       "51716         No   3.4     13                  +91 8071117272   \n",
       "\n",
       "                         location           rest_type  \\\n",
       "67                   Banashankari                 Pub   \n",
       "119                  Banashankari                 Bar   \n",
       "166                     Jayanagar       Casual Dining   \n",
       "207                     Jayanagar       Casual Dining   \n",
       "217                     Jayanagar       Casual Dining   \n",
       "...                           ...                 ...   \n",
       "51707                  Whitefield    Fine Dining, Bar   \n",
       "51708                  Whitefield  Casual Dining, Bar   \n",
       "51712                  Whitefield                 Bar   \n",
       "51715  ITPL Main Road, Whitefield                 Bar   \n",
       "51716  ITPL Main Road, Whitefield  Bar, Casual Dining   \n",
       "\n",
       "                                              dish_liked  \\\n",
       "67     Beer, Wedges, Pizza, Nachos, Salads, Papaya Sa...   \n",
       "119                                                  NaN   \n",
       "166    Noodles, Laksa Soup, Coffee, Veg Fritters, Veg...   \n",
       "207    Veg Momos, Brownie Chocolate, Palak Chaat, Mut...   \n",
       "217    Pizza, Pasta, Salads, Calamari, Ravioli, Pumpk...   \n",
       "...                                                  ...   \n",
       "51707                                   Rooftop Ambience   \n",
       "51708  Salads, Coffee, Breakfast Buffet, Halwa, Chick...   \n",
       "51712                                                NaN   \n",
       "51715                       Cocktails, Pizza, Buttermilk   \n",
       "51716                                                NaN   \n",
       "\n",
       "                                                cuisines  \\\n",
       "67     Continental, Italian, Mexican, North Indian, C...   \n",
       "119                                Chinese, North Indian   \n",
       "166                     Thai, Vietnamese, Asian, Chinese   \n",
       "207                           North Indian, Chinese, BBQ   \n",
       "217                                       Italian, Salad   \n",
       "...                                                  ...   \n",
       "51707                                        Finger Food   \n",
       "51708                 Chinese, Continental, North Indian   \n",
       "51712                                        Continental   \n",
       "51715                                        Finger Food   \n",
       "51716             Finger Food, North Indian, Continental   \n",
       "\n",
       "      approx_cost(for two people)  \\\n",
       "67                          1,200   \n",
       "119                         1,000   \n",
       "166                         1,200   \n",
       "207                         1,500   \n",
       "217                         1,300   \n",
       "...                           ...   \n",
       "51707                       2,000   \n",
       "51708                       1,200   \n",
       "51712                       1,500   \n",
       "51715                       2,500   \n",
       "51716                       1,500   \n",
       "\n",
       "                                            reviews_list menu_item  \\\n",
       "67     [('Rated 5.0', 'RATED\\n  Has a really calm roo...        []   \n",
       "119    [('Rated 4.0', \"RATED\\n  Convenient and Averag...        []   \n",
       "166    [('Rated 4.0', \"RATED\\n  The number of good re...        []   \n",
       "207    [('Rated 4.0', 'RATED\\n  Great place for team ...        []   \n",
       "217    [('Rated 4.0', 'RATED\\n  Saturday Night Dinner...        []   \n",
       "...                                                  ...       ...   \n",
       "51707  [('Rated 4.0', 'RATED\\n  Went there post dinne...        []   \n",
       "51708  [('Rated 3.0', 'RATED\\n  Place is good not tha...        []   \n",
       "51712  [('Rated 5.0', \"RATED\\n  Food and service are ...        []   \n",
       "51715  [('Rated 4.0', 'RATED\\n  Nice and friendly pla...        []   \n",
       "51716  [('Rated 5.0', 'RATED\\n  Great ambience , look...        []   \n",
       "\n",
       "      listed_in(type) listed_in(city)  \n",
       "67           Delivery    Banashankari  \n",
       "119          Delivery    Banashankari  \n",
       "166          Delivery    Banashankari  \n",
       "207          Delivery    Banashankari  \n",
       "217          Delivery    Banashankari  \n",
       "...               ...             ...  \n",
       "51707   Pubs and bars      Whitefield  \n",
       "51708   Pubs and bars      Whitefield  \n",
       "51712   Pubs and bars      Whitefield  \n",
       "51715   Pubs and bars      Whitefield  \n",
       "51716   Pubs and bars      Whitefield  \n",
       "\n",
       "[6798 rows x 17 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[~df['approx_cost(for two people)'].apply(is_float)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['approx_cost(for two people)'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          800\n",
       "1          800\n",
       "2          800\n",
       "3          300\n",
       "4          600\n",
       "         ...  \n",
       "51709      800\n",
       "51711      800\n",
       "51712    1,500\n",
       "51715    2,500\n",
       "51716    1,500\n",
       "Name: approx_cost(for two people), Length: 43690, dtype: object"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['approx_cost(for two people)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df['approx_cost(for two people)'][0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### remove ,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['approx_cost(for two people)'] = df['approx_cost(for two people)'].apply(lambda x: x.replace(',',''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['approx_cost(for two people)']=df['approx_cost(for two people)'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### cost vs rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.scatterplot(x=\"rate\",y='approx_cost(for two people)',hue='online_order',data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### from this scattterplot,we can come up with a conclusion ya most of the highest rated accepts online order and they r budgeted too"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "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>url</th>\n",
       "      <th>address</th>\n",
       "      <th>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.zomato.com/bangalore/jalsa-banasha...</td>\n",
       "      <td>942, 21st Main Road, 2nd Stage, Banashankari, ...</td>\n",
       "      <td>Jalsa</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1</td>\n",
       "      <td>775</td>\n",
       "      <td>080 42297555\\r\\n+91 9743772233</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Pasta, Lunch Buffet, Masala Papad, Paneer Laja...</td>\n",
       "      <td>North Indian, Mughlai, Chinese</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  A beautiful place to ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.zomato.com/bangalore/spice-elephan...</td>\n",
       "      <td>2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...</td>\n",
       "      <td>Spice Elephant</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1</td>\n",
       "      <td>787</td>\n",
       "      <td>080 41714161</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Momos, Lunch Buffet, Chocolate Nirvana, Thai G...</td>\n",
       "      <td>Chinese, North Indian, Thai</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Had been here for din...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.zomato.com/SanchurroBangalore?cont...</td>\n",
       "      <td>1112, Next to KIMS Medical College, 17th Cross...</td>\n",
       "      <td>San Churro Cafe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>918</td>\n",
       "      <td>+91 9663487993</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Cafe, Casual Dining</td>\n",
       "      <td>Churros, Cannelloni, Minestrone Soup, Hot Choc...</td>\n",
       "      <td>Cafe, Mexican, Italian</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 3.0', \"RATED\\n  Ambience is not that ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.zomato.com/bangalore/addhuri-udupi...</td>\n",
       "      <td>1st Floor, Annakuteera, 3rd Stage, Banashankar...</td>\n",
       "      <td>Addhuri Udupi Bhojana</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>88</td>\n",
       "      <td>+91 9620009302</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>Masala Dosa</td>\n",
       "      <td>South Indian, North Indian</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Great food and proper...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.zomato.com/bangalore/grand-village...</td>\n",
       "      <td>10, 3rd Floor, Lakshmi Associates, Gandhi Baza...</td>\n",
       "      <td>Grand Village</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>166</td>\n",
       "      <td>+91 8026612447\\r\\n+91 9901210005</td>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Panipuri, Gol Gappe</td>\n",
       "      <td>North Indian, Rajasthani</td>\n",
       "      <td>600</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Very good restaurant ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url  \\\n",
       "0  https://www.zomato.com/bangalore/jalsa-banasha...   \n",
       "1  https://www.zomato.com/bangalore/spice-elephan...   \n",
       "2  https://www.zomato.com/SanchurroBangalore?cont...   \n",
       "3  https://www.zomato.com/bangalore/addhuri-udupi...   \n",
       "4  https://www.zomato.com/bangalore/grand-village...   \n",
       "\n",
       "                                             address                   name  \\\n",
       "0  942, 21st Main Road, 2nd Stage, Banashankari, ...                  Jalsa   \n",
       "1  2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...         Spice Elephant   \n",
       "2  1112, Next to KIMS Medical College, 17th Cross...        San Churro Cafe   \n",
       "3  1st Floor, Annakuteera, 3rd Stage, Banashankar...  Addhuri Udupi Bhojana   \n",
       "4  10, 3rd Floor, Lakshmi Associates, Gandhi Baza...          Grand Village   \n",
       "\n",
       "  online_order book_table  rate  votes                             phone  \\\n",
       "0          Yes        Yes   4.1    775    080 42297555\\r\\n+91 9743772233   \n",
       "1          Yes         No   4.1    787                      080 41714161   \n",
       "2          Yes         No   3.8    918                    +91 9663487993   \n",
       "3           No         No   3.7     88                    +91 9620009302   \n",
       "4           No         No   3.8    166  +91 8026612447\\r\\n+91 9901210005   \n",
       "\n",
       "       location            rest_type  \\\n",
       "0  Banashankari        Casual Dining   \n",
       "1  Banashankari        Casual Dining   \n",
       "2  Banashankari  Cafe, Casual Dining   \n",
       "3  Banashankari          Quick Bites   \n",
       "4  Basavanagudi        Casual Dining   \n",
       "\n",
       "                                          dish_liked  \\\n",
       "0  Pasta, Lunch Buffet, Masala Papad, Paneer Laja...   \n",
       "1  Momos, Lunch Buffet, Chocolate Nirvana, Thai G...   \n",
       "2  Churros, Cannelloni, Minestrone Soup, Hot Choc...   \n",
       "3                                        Masala Dosa   \n",
       "4                                Panipuri, Gol Gappe   \n",
       "\n",
       "                         cuisines  approx_cost(for two people)  \\\n",
       "0  North Indian, Mughlai, Chinese                          800   \n",
       "1     Chinese, North Indian, Thai                          800   \n",
       "2          Cafe, Mexican, Italian                          800   \n",
       "3      South Indian, North Indian                          300   \n",
       "4        North Indian, Rajasthani                          600   \n",
       "\n",
       "                                        reviews_list menu_item  \\\n",
       "0  [('Rated 4.0', 'RATED\\n  A beautiful place to ...        []   \n",
       "1  [('Rated 4.0', 'RATED\\n  Had been here for din...        []   \n",
       "2  [('Rated 3.0', \"RATED\\n  Ambience is not that ...        []   \n",
       "3  [('Rated 4.0', \"RATED\\n  Great food and proper...        []   \n",
       "4  [('Rated 4.0', 'RATED\\n  Very good restaurant ...        []   \n",
       "\n",
       "  listed_in(type) listed_in(city)  \n",
       "0          Buffet    Banashankari  \n",
       "1          Buffet    Banashankari  \n",
       "2          Buffet    Banashankari  \n",
       "3          Buffet    Banashankari  \n",
       "4          Buffet    Banashankari  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Is there any difference b/w votes of restaurants accepting and not accepting online orders?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b073e7e48>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='online_order',y='votes',data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### from this boxplot,we can observe that median number of votes for both categories vary.\n",
    "#### Restaurants accepting online orders get more votes from customers as there is a rating option poping up after each order through zomato application."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Is there any difference b/w price of restaurants accepting and not accepting online orders?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b051643c8>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='online_order',y='approx_cost(for two people)',data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hoverlabel": {
          "namelength": 0
         },
         "hovertemplate": "online_order=%{x}<br>approx_cost(for two people)=%{y}",
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
         },
         "name": "",
         "notched": false,
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "type": "box",
         "x": [
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     "metadata": {},
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   ],
   "source": [
    "fig = px.box(df,x='online_order',y='approx_cost(for two people)')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Restaurants accepting online orders are more affordable than Restaurants who are accepting online orders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cheapest Rate for 2 people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "40"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['approx_cost(for two people)'].min()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most costly for 2 people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6000"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['approx_cost(for two people)'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>address</th>\n",
       "      <th>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19139</th>\n",
       "      <td>https://www.zomato.com/bangalore/le-cirque-sig...</td>\n",
       "      <td>The Leela Palace, 23, Old Airport Road, Bangalore</td>\n",
       "      <td>Le Cirque Signature - The Leela Palace</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.3</td>\n",
       "      <td>126</td>\n",
       "      <td>080 30571234\\r\\n080 30571540</td>\n",
       "      <td>Old Airport Road</td>\n",
       "      <td>Fine Dining</td>\n",
       "      <td>Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...</td>\n",
       "      <td>French, Italian</td>\n",
       "      <td>6000</td>\n",
       "      <td>[('Rated 5.0', 'RATED\\n  Awesome would be an u...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Dine-out</td>\n",
       "      <td>Indiranagar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45618</th>\n",
       "      <td>https://www.zomato.com/bangalore/le-cirque-sig...</td>\n",
       "      <td>The Leela Palace, 23, Old Airport Road, Bangalore</td>\n",
       "      <td>Le Cirque Signature - The Leela Palace</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.3</td>\n",
       "      <td>128</td>\n",
       "      <td>080 30571234\\n080 30571540</td>\n",
       "      <td>Old Airport Road</td>\n",
       "      <td>Fine Dining</td>\n",
       "      <td>Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...</td>\n",
       "      <td>French, Italian</td>\n",
       "      <td>6000</td>\n",
       "      <td>[('Rated 5.0', 'RATED\\n  Awesome would be an u...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Dine-out</td>\n",
       "      <td>Old Airport Road</td>\n",
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      "text/plain": [
       "                                                     url  \\\n",
       "19139  https://www.zomato.com/bangalore/le-cirque-sig...   \n",
       "45618  https://www.zomato.com/bangalore/le-cirque-sig...   \n",
       "\n",
       "                                                 address  \\\n",
       "19139  The Leela Palace, 23, Old Airport Road, Bangalore   \n",
       "45618  The Leela Palace, 23, Old Airport Road, Bangalore   \n",
       "\n",
       "                                         name online_order book_table  rate  \\\n",
       "19139  Le Cirque Signature - The Leela Palace           No        Yes   4.3   \n",
       "45618  Le Cirque Signature - The Leela Palace           No        Yes   4.3   \n",
       "\n",
       "       votes                         phone          location    rest_type  \\\n",
       "19139    126  080 30571234\\r\\n080 30571540  Old Airport Road  Fine Dining   \n",
       "45618    128    080 30571234\\n080 30571540  Old Airport Road  Fine Dining   \n",
       "\n",
       "                                              dish_liked         cuisines  \\\n",
       "19139  Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...  French, Italian   \n",
       "45618  Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...  French, Italian   \n",
       "\n",
       "       approx_cost(for two people)  \\\n",
       "19139                         6000   \n",
       "45618                         6000   \n",
       "\n",
       "                                            reviews_list menu_item  \\\n",
       "19139  [('Rated 5.0', 'RATED\\n  Awesome would be an u...        []   \n",
       "45618  [('Rated 5.0', 'RATED\\n  Awesome would be an u...        []   \n",
       "\n",
       "      listed_in(type)   listed_in(city)  \n",
       "19139        Dine-out       Indiranagar  \n",
       "45618        Dine-out  Old Airport Road  "
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['approx_cost(for two people)']==6000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19139    Le Cirque Signature - The Leela Palace\n",
       "45618    Le Cirque Signature - The Leela Palace\n",
       "Name: name, dtype: object"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['approx_cost(for two people)']==6000]['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### distribution of cost for 2 people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6,6))\n",
    "sns.distplot(df['approx_cost(for two people)'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "bingroup": "x",
         "hoverlabel": {
          "namelength": 0
         },
         "hovertemplate": "approx_cost(for two people)=%{x}<br>count=%{y}",
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "type": "histogram",
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\"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"approx_cost(for two people)\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"count\"}}},\n",
       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('b4b813b8-8323-4721-8448-e743a1fe7568');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "px.histogram(df, x=\"approx_cost(for two people)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### most of the price lies between in a range of under 1000,it means most are affordable & very few are luxurious"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most costly Rate for 2 people is served at which Restaurant what exactly is the dish involved in this and liked dish of that restaurant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "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>name</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>dish_liked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19139</th>\n",
       "      <td>Le Cirque Signature - The Leela Palace</td>\n",
       "      <td>French, Italian</td>\n",
       "      <td>Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45618</th>\n",
       "      <td>Le Cirque Signature - The Leela Palace</td>\n",
       "      <td>French, Italian</td>\n",
       "      <td>Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         name         cuisines  \\\n",
       "19139  Le Cirque Signature - The Leela Palace  French, Italian   \n",
       "45618  Le Cirque Signature - The Leela Palace  French, Italian   \n",
       "\n",
       "                                              dish_liked  \n",
       "19139  Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...  \n",
       "45618  Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['approx_cost(for two people)']==6000].loc[:,('name','cuisines','dish_liked')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "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>name</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>dish_liked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19139</th>\n",
       "      <td>Le Cirque Signature - The Leela Palace</td>\n",
       "      <td>French, Italian</td>\n",
       "      <td>Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45618</th>\n",
       "      <td>Le Cirque Signature - The Leela Palace</td>\n",
       "      <td>French, Italian</td>\n",
       "      <td>Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         name         cuisines  \\\n",
       "19139  Le Cirque Signature - The Leela Palace  French, Italian   \n",
       "45618  Le Cirque Signature - The Leela Palace  French, Italian   \n",
       "\n",
       "                                              dish_liked  \n",
       "19139  Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...  \n",
       "45618  Wine, Asparagus Soup, Creme Brulee, Pasta, Rav...  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['approx_cost(for two people)']==6000][['name','cuisines','dish_liked']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "url                             object\n",
       "address                         object\n",
       "name                            object\n",
       "online_order                    object\n",
       "book_table                      object\n",
       "rate                           float64\n",
       "votes                            int64\n",
       "phone                           object\n",
       "location                        object\n",
       "rest_type                       object\n",
       "dish_liked                      object\n",
       "cuisines                        object\n",
       "approx_cost(for two people)      int32\n",
       "reviews_list                    object\n",
       "menu_item                       object\n",
       "listed_in(type)                 object\n",
       "listed_in(city)                 object\n",
       "dtype: object"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.set_index('name',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Top 10 Most Expensive restaurant with approx cost for 2 people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b0507c208>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['approx_cost(for two people)'].nlargest(10).plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "name": "Priority",
         "type": "bar",
         "x": [
          "Le Cirque Signature - The Leela Palace",
          "Le Cirque Signature - The Leela Palace",
          "Royal Afghan - ITC Windsor",
          "Malties - Radisson Blu",
          "Malties - Radisson Blu",
          "La Brasserie - Le Meridien",
          "La Brasserie - Le Meridien",
          "La Brasserie - Le Meridien",
          "La Brasserie - Le Meridien",
          "Alba - JW Marriott Bengaluru"
         ],
         "y": [
          6000,
          6000,
          5000,
          4500,
          4500,
          4100,
          4100,
          4100,
          4100,
          4000
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
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             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
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             ],
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             ],
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             ],
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             [
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            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
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             "ticks": ""
            },
            "colorscale": [
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             [
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            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
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            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
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             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
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            "type": "histogram2d"
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          ],
          "histogram2dcontour": [
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            },
            "colorscale": [
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            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
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            "colorbar": {
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             "ticks": ""
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            "type": "mesh3d"
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          ],
          "parcoords": [
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            "line": {
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            },
            "type": "parcoords"
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          "pie": [
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            "type": "pie"
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   "source": [
    "trace1 = go.Bar( \n",
    "        x = data['approx_cost(for two people)'].nlargest(10).index,\n",
    "        y = data['approx_cost(for two people)'].nlargest(10),\n",
    "        name= 'Priority')\n",
    "iplot([trace1])"
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Top 10 Cheapest restaurant with approx cost for 2 people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b0527e048>"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['approx_cost(for two people)'].nsmallest(10).plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "name": "Priority",
         "type": "bar",
         "x": [
          "Srinidhi Sagar Food Line",
          "Srinidhi Sagar Food Line",
          "Srinidhi Sagar Food Line",
          "Srinidhi Sagar",
          "Srinidhi Sagar Food Line",
          "Srinidhi Sagar Deluxe",
          "Srinidhi Sagar Deluxe",
          "Srinidhi Sagar",
          "Savera Cafe",
          "Savera Cafe"
         ],
         "y": [
          40,
          40,
          40,
          40,
          40,
          40,
          40,
          40,
          50,
          50
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
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     "metadata": {},
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   ],
   "source": [
    "trace1 = go.Bar( \n",
    "        x = data['approx_cost(for two people)'].nsmallest(10).index,\n",
    "        y = data['approx_cost(for two people)'].nsmallest(10),\n",
    "        name= 'Priority')\n",
    "iplot([trace1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Top 10 Cheapest restaurant location wise with approx cost for 2 people "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "location\n",
       "Indiranagar         40\n",
       "Indiranagar         40\n",
       "Indiranagar         40\n",
       "Old Airport Road    40\n",
       "Indiranagar         40\n",
       "Domlur              40\n",
       "Domlur              40\n",
       "Old Airport Road    40\n",
       "Shivajinagar        50\n",
       "Shivajinagar        50\n",
       "Name: approx_cost(for two people), dtype: int32"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.set_index('location',inplace=True)\n",
    "data['approx_cost(for two people)'].nsmallest(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### all the restautant that are below than 500(budget hotel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>url</th>\n",
       "      <th>address</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>location</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Banashankari</th>\n",
       "      <td>https://www.zomato.com/bangalore/addhuri-udupi...</td>\n",
       "      <td>1st Floor, Annakuteera, 3rd Stage, Banashankar...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>88</td>\n",
       "      <td>+91 9620009302</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>Masala Dosa</td>\n",
       "      <td>South Indian, North Indian</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Great food and proper...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Banashankari</th>\n",
       "      <td>https://www.zomato.com/bangalore/caf%C3%A9-dow...</td>\n",
       "      <td>12,29 Near PES University Back Gate, D'Souza N...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1</td>\n",
       "      <td>402</td>\n",
       "      <td>080 26724489\\r\\n+91 7406048982</td>\n",
       "      <td>Cafe</td>\n",
       "      <td>Waffles, Pasta, Crispy Chicken, Honey Chilli C...</td>\n",
       "      <td>Cafe</td>\n",
       "      <td>500</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  We ended up here on a...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Cafes</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Banashankari</th>\n",
       "      <td>https://www.zomato.com/bangalore/the-coffee-sh...</td>\n",
       "      <td>6th Block, 3rd Stage, Banashankari, Bangalore</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.2</td>\n",
       "      <td>164</td>\n",
       "      <td>+91 9731644212</td>\n",
       "      <td>Cafe</td>\n",
       "      <td>Coffee, Spaghetti, Pancakes, Nachos, Pasta, Sa...</td>\n",
       "      <td>Cafe, Chinese, Continental, Italian</td>\n",
       "      <td>500</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Food - 4/5\\nAmbience ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Cafes</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Banashankari</th>\n",
       "      <td>https://www.zomato.com/bangalore/caf-eleven-ba...</td>\n",
       "      <td>111, Sapphire Toys Building, 100 Feet Ring Roa...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>4.0</td>\n",
       "      <td>424</td>\n",
       "      <td>080 49577715</td>\n",
       "      <td>Cafe</td>\n",
       "      <td>Sandwich, Omelette, Ice Tea, Virgin Mojito, Ho...</td>\n",
       "      <td>Cafe, Continental</td>\n",
       "      <td>450</td>\n",
       "      <td>[('Rated 2.0', \"RATED\\n  This is a hookah cafe...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Cafes</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Banashankari</th>\n",
       "      <td>https://www.zomato.com/bangalore/t3h-cafe-bana...</td>\n",
       "      <td>504, CJ Venkata Das Road, Padmanabhangar, 2nd ...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.9</td>\n",
       "      <td>93</td>\n",
       "      <td>+91 8884726600</td>\n",
       "      <td>Cafe</td>\n",
       "      <td>Cheese Maggi, Peri Peri Fries, Pasta Arrabiata</td>\n",
       "      <td>Cafe, Italian, American</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Happy to see such a c...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Cafes</td>\n",
       "      <td>Banashankari</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",
       "      <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>Brookefield</th>\n",
       "      <td>https://www.zomato.com/bangalore/venice-kerala...</td>\n",
       "      <td>Opposite Brookfield Mall, Shiva Temple Road, B...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>34</td>\n",
       "      <td>+91 8880059495</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kerala</td>\n",
       "      <td>200</td>\n",
       "      <td>[('Rated 5.0', 'RATED\\n  Loved this restaurant...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Dine-out</td>\n",
       "      <td>Whitefield</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KR Puram</th>\n",
       "      <td>https://www.zomato.com/bangalore/thai-chinese-...</td>\n",
       "      <td>7, Anurhh Arcade, Hoodi Road, Kodigehalli Road...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.4</td>\n",
       "      <td>7</td>\n",
       "      <td>+91 9206260085\\n+91 7619416923</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chinese, Thai</td>\n",
       "      <td>400</td>\n",
       "      <td>[('Rated 5.0', 'RATED\\n  Its Looking delicious...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Dine-out</td>\n",
       "      <td>Whitefield</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brookefield</th>\n",
       "      <td>https://www.zomato.com/bangalore/the-crunch-br...</td>\n",
       "      <td>33/1, Kundalahalli Road, Brookefield, Bangalore</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.3</td>\n",
       "      <td>6</td>\n",
       "      <td>+91 9016277963</td>\n",
       "      <td>Beverage Shop</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Beverages</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 3.0', 'RATED\\n  the sandwich was not ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Dine-out</td>\n",
       "      <td>Whitefield</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KR Puram</th>\n",
       "      <td>https://www.zomato.com/bangalore/punjabi-charc...</td>\n",
       "      <td>7, Anurhh Arcade, Hoodi Road, Kodigehalli Road...</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.6</td>\n",
       "      <td>31</td>\n",
       "      <td>+91 9341341916\\n+91 7619416499</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>NaN</td>\n",
       "      <td>North Indian, Chinese</td>\n",
       "      <td>400</td>\n",
       "      <td>[('Rated 3.0', 'RATED\\n  A nice little place f...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Dine-out</td>\n",
       "      <td>Whitefield</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brookefield</th>\n",
       "      <td>https://www.zomato.com/bangalore/raapchick-bro...</td>\n",
       "      <td>Opposite Brookefield Mall, Kundanhalli, Brooke...</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.6</td>\n",
       "      <td>49</td>\n",
       "      <td>080 41717785\\n+91 9571153004</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>Burgers</td>\n",
       "      <td>Fast Food, Burger</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 5.0', \"RATED\\n  I was randomly lookin...</td>\n",
       "      <td>['Chicken Wrap', 'Veg Crunch Burger', 'Spicy P...</td>\n",
       "      <td>Dine-out</td>\n",
       "      <td>Whitefield</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>26330 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                            url  \\\n",
       "location                                                          \n",
       "Banashankari  https://www.zomato.com/bangalore/addhuri-udupi...   \n",
       "Banashankari  https://www.zomato.com/bangalore/caf%C3%A9-dow...   \n",
       "Banashankari  https://www.zomato.com/bangalore/the-coffee-sh...   \n",
       "Banashankari  https://www.zomato.com/bangalore/caf-eleven-ba...   \n",
       "Banashankari  https://www.zomato.com/bangalore/t3h-cafe-bana...   \n",
       "...                                                         ...   \n",
       "Brookefield   https://www.zomato.com/bangalore/venice-kerala...   \n",
       "KR Puram      https://www.zomato.com/bangalore/thai-chinese-...   \n",
       "Brookefield   https://www.zomato.com/bangalore/the-crunch-br...   \n",
       "KR Puram      https://www.zomato.com/bangalore/punjabi-charc...   \n",
       "Brookefield   https://www.zomato.com/bangalore/raapchick-bro...   \n",
       "\n",
       "                                                        address online_order  \\\n",
       "location                                                                       \n",
       "Banashankari  1st Floor, Annakuteera, 3rd Stage, Banashankar...           No   \n",
       "Banashankari  12,29 Near PES University Back Gate, D'Souza N...          Yes   \n",
       "Banashankari      6th Block, 3rd Stage, Banashankari, Bangalore          Yes   \n",
       "Banashankari  111, Sapphire Toys Building, 100 Feet Ring Roa...           No   \n",
       "Banashankari  504, CJ Venkata Das Road, Padmanabhangar, 2nd ...           No   \n",
       "...                                                         ...          ...   \n",
       "Brookefield   Opposite Brookfield Mall, Shiva Temple Road, B...           No   \n",
       "KR Puram      7, Anurhh Arcade, Hoodi Road, Kodigehalli Road...           No   \n",
       "Brookefield     33/1, Kundalahalli Road, Brookefield, Bangalore           No   \n",
       "KR Puram      7, Anurhh Arcade, Hoodi Road, Kodigehalli Road...           No   \n",
       "Brookefield   Opposite Brookefield Mall, Kundanhalli, Brooke...          Yes   \n",
       "\n",
       "             book_table  rate  votes                           phone  \\\n",
       "location                                                               \n",
       "Banashankari         No   3.7     88                  +91 9620009302   \n",
       "Banashankari         No   4.1    402  080 26724489\\r\\n+91 7406048982   \n",
       "Banashankari        Yes   4.2    164                  +91 9731644212   \n",
       "Banashankari         No   4.0    424                    080 49577715   \n",
       "Banashankari         No   3.9     93                  +91 8884726600   \n",
       "...                 ...   ...    ...                             ...   \n",
       "Brookefield          No   3.7     34                  +91 8880059495   \n",
       "KR Puram             No   3.4      7  +91 9206260085\\n+91 7619416923   \n",
       "Brookefield          No   3.3      6                  +91 9016277963   \n",
       "KR Puram             No   3.6     31  +91 9341341916\\n+91 7619416499   \n",
       "Brookefield          No   3.6     49    080 41717785\\n+91 9571153004   \n",
       "\n",
       "                  rest_type  \\\n",
       "location                      \n",
       "Banashankari    Quick Bites   \n",
       "Banashankari           Cafe   \n",
       "Banashankari           Cafe   \n",
       "Banashankari           Cafe   \n",
       "Banashankari           Cafe   \n",
       "...                     ...   \n",
       "Brookefield     Quick Bites   \n",
       "KR Puram        Quick Bites   \n",
       "Brookefield   Beverage Shop   \n",
       "KR Puram        Quick Bites   \n",
       "Brookefield     Quick Bites   \n",
       "\n",
       "                                                     dish_liked  \\\n",
       "location                                                          \n",
       "Banashankari                                        Masala Dosa   \n",
       "Banashankari  Waffles, Pasta, Crispy Chicken, Honey Chilli C...   \n",
       "Banashankari  Coffee, Spaghetti, Pancakes, Nachos, Pasta, Sa...   \n",
       "Banashankari  Sandwich, Omelette, Ice Tea, Virgin Mojito, Ho...   \n",
       "Banashankari     Cheese Maggi, Peri Peri Fries, Pasta Arrabiata   \n",
       "...                                                         ...   \n",
       "Brookefield                                                 NaN   \n",
       "KR Puram                                                    NaN   \n",
       "Brookefield                                                 NaN   \n",
       "KR Puram                                                    NaN   \n",
       "Brookefield                                             Burgers   \n",
       "\n",
       "                                         cuisines  \\\n",
       "location                                            \n",
       "Banashankari           South Indian, North Indian   \n",
       "Banashankari                                 Cafe   \n",
       "Banashankari  Cafe, Chinese, Continental, Italian   \n",
       "Banashankari                    Cafe, Continental   \n",
       "Banashankari              Cafe, Italian, American   \n",
       "...                                           ...   \n",
       "Brookefield                                Kerala   \n",
       "KR Puram                            Chinese, Thai   \n",
       "Brookefield                             Beverages   \n",
       "KR Puram                    North Indian, Chinese   \n",
       "Brookefield                     Fast Food, Burger   \n",
       "\n",
       "              approx_cost(for two people)  \\\n",
       "location                                    \n",
       "Banashankari                          300   \n",
       "Banashankari                          500   \n",
       "Banashankari                          500   \n",
       "Banashankari                          450   \n",
       "Banashankari                          300   \n",
       "...                                   ...   \n",
       "Brookefield                           200   \n",
       "KR Puram                              400   \n",
       "Brookefield                           300   \n",
       "KR Puram                              400   \n",
       "Brookefield                           300   \n",
       "\n",
       "                                                   reviews_list  \\\n",
       "location                                                          \n",
       "Banashankari  [('Rated 4.0', \"RATED\\n  Great food and proper...   \n",
       "Banashankari  [('Rated 4.0', 'RATED\\n  We ended up here on a...   \n",
       "Banashankari  [('Rated 4.0', \"RATED\\n  Food - 4/5\\nAmbience ...   \n",
       "Banashankari  [('Rated 2.0', \"RATED\\n  This is a hookah cafe...   \n",
       "Banashankari  [('Rated 4.0', \"RATED\\n  Happy to see such a c...   \n",
       "...                                                         ...   \n",
       "Brookefield   [('Rated 5.0', 'RATED\\n  Loved this restaurant...   \n",
       "KR Puram      [('Rated 5.0', 'RATED\\n  Its Looking delicious...   \n",
       "Brookefield   [('Rated 3.0', 'RATED\\n  the sandwich was not ...   \n",
       "KR Puram      [('Rated 3.0', 'RATED\\n  A nice little place f...   \n",
       "Brookefield   [('Rated 5.0', \"RATED\\n  I was randomly lookin...   \n",
       "\n",
       "                                                      menu_item  \\\n",
       "location                                                          \n",
       "Banashankari                                                 []   \n",
       "Banashankari                                                 []   \n",
       "Banashankari                                                 []   \n",
       "Banashankari                                                 []   \n",
       "Banashankari                                                 []   \n",
       "...                                                         ...   \n",
       "Brookefield                                                  []   \n",
       "KR Puram                                                     []   \n",
       "Brookefield                                                  []   \n",
       "KR Puram                                                     []   \n",
       "Brookefield   ['Chicken Wrap', 'Veg Crunch Burger', 'Spicy P...   \n",
       "\n",
       "             listed_in(type) listed_in(city)  \n",
       "location                                      \n",
       "Banashankari          Buffet    Banashankari  \n",
       "Banashankari           Cafes    Banashankari  \n",
       "Banashankari           Cafes    Banashankari  \n",
       "Banashankari           Cafes    Banashankari  \n",
       "Banashankari           Cafes    Banashankari  \n",
       "...                      ...             ...  \n",
       "Brookefield         Dine-out      Whitefield  \n",
       "KR Puram            Dine-out      Whitefield  \n",
       "Brookefield         Dine-out      Whitefield  \n",
       "KR Puram            Dine-out      Whitefield  \n",
       "Brookefield         Dine-out      Whitefield  \n",
       "\n",
       "[26330 rows x 15 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['approx_cost(for two people)']<=500]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "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>location</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       location  approx_cost(for two people)\n",
       "0  Banashankari                          300\n",
       "1  Banashankari                          500\n",
       "2  Banashankari                          500\n",
       "3  Banashankari                          450\n",
       "4  Banashankari                          300"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_budget=data[data['approx_cost(for two people)']<=500].loc[:,('approx_cost(for two people)')]\n",
    "df_budget=df_budget.reset_index()\n",
    "df_budget.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b08ef21c8>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_budget['approx_cost(for two people)'].value_counts().plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### we can conclude that 300 and 400 cost dishes are maximum in count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
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        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
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     },
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   ],
   "source": [
    "trace1 = go.Bar( \n",
    "        x = df_budget['approx_cost(for two people)'].value_counts().index,\n",
    "        y = df_budget['approx_cost(for two people)'].value_counts(),\n",
    "        name= 'Priority')\n",
    "iplot([trace1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Restaurants that have better rating >4 and that are under budget too"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4007, 17)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['rate']>=4) & (df['approx_cost(for two people)']<=500)].shape\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total no. of Restaurants that have better rating >4 and that are under budget too ie less than 500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "628"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new=df[(df['rate']>=4) & (df['approx_cost(for two people)']<=500)]\n",
    "len(df_new['name'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total such various  affordable hotels at different location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "location=[]\n",
    "total=[]\n",
    "for loc,location_df in df_new.groupby('location'):\n",
    "    location.append(loc)\n",
    "    total.append(len(location_df['name'].unique()))\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "68"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(location)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "68"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "location_df=pd.DataFrame(zip(location,total))\n",
    "location_df.columns=['location','restaurant']\n",
    "location_df.set_index('location',inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "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>restaurant</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>location</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BTM</th>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Banashankari</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Banaswadi</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bannerghatta Road</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Basavanagudi</th>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Basaveshwara Nagar</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bellandur</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brigade Road</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brookefield</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Church Street</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City Market</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commercial Street</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cunningham Road</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domlur</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ejipura</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Electronic City</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frazer Town</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HBR Layout</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HSR</th>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hebbal</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    restaurant\n",
       "location                      \n",
       "BTM                         54\n",
       "Banashankari                25\n",
       "Banaswadi                    3\n",
       "Bannerghatta Road           19\n",
       "Basavanagudi                31\n",
       "Basaveshwara Nagar           3\n",
       "Bellandur                   20\n",
       "Brigade Road                11\n",
       "Brookefield                 16\n",
       "Church Street                8\n",
       "City Market                  1\n",
       "Commercial Street            4\n",
       "Cunningham Road              4\n",
       "Domlur                       5\n",
       "Ejipura                      1\n",
       "Electronic City             23\n",
       "Frazer Town                 15\n",
       "HBR Layout                   3\n",
       "HSR                         58\n",
       "Hebbal                       1"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "location_df.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(location)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Total restaurants')"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "location_df['restaurant'].nlargest(10).plot.bar()\n",
    "plt.gcf().autofmt_xdate()\n",
    "plt.ylabel('Total restaurants')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "name": "Priority",
         "type": "bar",
         "x": [
          "HSR",
          "Indiranagar",
          "Jayanagar",
          "BTM",
          "Koramangala 5th Block",
          "Malleshwaram",
          "JP Nagar",
          "Whitefield",
          "Marathahalli",
          "Basavanagudi"
         ],
         "y": [
          58,
          58,
          58,
          54,
          53,
          39,
          38,
          34,
          33,
          31
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
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            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
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             ],
             [
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              "#46039f"
             ],
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             ],
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             ],
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             [
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             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
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          "heatmap": [
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            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
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              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
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            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
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            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
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            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
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             ],
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             ],
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            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
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            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
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             "colorbar": {
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              "ticks": ""
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            },
            "marker": {
             "colorbar": {
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            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
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             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
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   "source": [
    "trace1 = go.Bar( \n",
    "        x = location_df['restaurant'].nlargest(10).index,\n",
    "        y = location_df['restaurant'].nlargest(10),\n",
    "        name= 'Priority')\n",
    "iplot([trace1])"
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# To Visualise what are the names of those hotels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "location=[]\n",
    "total=[]\n",
    "for loc,location_df in df_new.groupby('location'):\n",
    "    location.append(loc)\n",
    "    total.append(location_df['name'].unique())\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
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       "</div>"
      ],
      "text/plain": [
       "                                                           res_names\n",
       "location                                                            \n",
       "BTM                [eat.fit, Hiyar Majhe Kolkata, XO Belgian Waff...\n",
       "Banashankari       [Café Down The ...\n",
       "Banaswadi          [Pooja Dosa Camp, Corner House Ice Cream, The ...\n",
       "Bannerghatta Road  [BOX8- Desi Meals, Krishna Kuteera, Krishna Ku...\n",
       "Basavanagudi       [Kabab Magic, Sri Guru Kottureshwara Davangere..."
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "afford=pd.DataFrame(zip(location,total))\n",
    "afford.columns=['location','res_names']\n",
    "afford.set_index('location',inplace=True)\n",
    "afford.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Finding Best budget Restaurants in any location"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### we will pass location and restaurant type as parameteres,function will return name of restaurants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_budget(location,restaurant):\n",
    "    budget=df[(df['approx_cost(for two people)']<=400) & (df['location']==location) & \n",
    "                     (df['rate']>4) & (df['rest_type']==restaurant)]\n",
    "    return(budget['name'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Swadista Aahar', 'Litti Twist', 'The Shawarma Shop', 'Gorbandh',\n",
       "       'Yum In My Tum', 'Chaatimes', \"Muthashy's\", 'Swad Punjab Da',\n",
       "       \"Domino's Pizza\", 'Roti Wala', 'Andhra Kitchen'], dtype=object)"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "return_budget('BTM',\"Quick Bites\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which are the foodie areas?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x5b08d89c48>"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "Restaurant_locations=df['location'].value_counts()[:20]\n",
    "sns.barplot(Restaurant_locations,Restaurant_locations.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "name": "Priority",
         "type": "bar",
         "x": [
          "BTM",
          "Koramangala 5th Block",
          "HSR",
          "Indiranagar",
          "JP Nagar",
          "Jayanagar",
          "Whitefield",
          "Marathahalli",
          "Bannerghatta Road",
          "Koramangala 6th Block",
          "Brigade Road",
          "Koramangala 7th Block",
          "Bellandur",
          "Koramangala 1st Block",
          "Electronic City",
          "Sarjapur Road",
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          "Koramangala 4th Block",
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       "                        {\"responsive\": true}\n",
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
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       "    x.observe(notebookContainer, {childList: true});\n",
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       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Restaurant_locations=df['location'].value_counts()[:20]\n",
    "trace1 = go.Bar( \n",
    "        x = Restaurant_locations.index,\n",
    "        y = Restaurant_locations,\n",
    "        name= 'Priority')\n",
    "iplot([trace1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We can see that BTM,HSR and Koranmangala 5th block has the most number of restaurants.\n",
    "#### BTM dominates the section by having more than 5000 restaurants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### geographical analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### I need Latitudes & longitudes for each of the place for geaographical Data analysis,so to fetch lat,lon of each place,use Geopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(43690, 17)"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "92"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df['location'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "locations=pd.DataFrame({\"Name\":df['location'].unique()})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "locations['new_Name']='Bangalore '+locations['Name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "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>Name</th>\n",
       "      <th>new_Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Bangalore Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Bangalore Basavanagudi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mysore Road</td>\n",
       "      <td>Bangalore Mysore Road</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jayanagar</td>\n",
       "      <td>Bangalore Jayanagar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Kumaraswamy Layout</td>\n",
       "      <td>Bangalore Kumaraswamy Layout</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Name                      new_Name\n",
       "0        Banashankari        Bangalore Banashankari\n",
       "1        Basavanagudi        Bangalore Basavanagudi\n",
       "2         Mysore Road         Bangalore Mysore Road\n",
       "3           Jayanagar           Bangalore Jayanagar\n",
       "4  Kumaraswamy Layout  Bangalore Kumaraswamy Layout"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "locations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: geopy in c:\\users\\mcr\\anaconda3\\lib\\site-packages (2.0.0)\n",
      "Requirement already satisfied: geographiclib<2,>=1.49 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from geopy) (1.50)\n"
     ]
    }
   ],
   "source": [
    "!pip install geopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "from geopy.geocoders import Nominatim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat_lon=[]\n",
    "geolocator=Nominatim(user_agent=\"app\")\n",
    "for location in locations['Name']:\n",
    "    location = geolocator.geocode(location)\n",
    "    if location is None:\n",
    "        lat_lon.append(np.nan)\n",
    "    else:    \n",
    "        geo=(location.latitude,location.longitude)\n",
    "        lat_lon.append(geo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "locations['geo_loc']=lat_lon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>new_Name</th>\n",
       "      <th>geo_loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Bangalore Banashankari</td>\n",
       "      <td>(15.8876779, 75.7046777)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Bangalore Basavanagudi</td>\n",
       "      <td>(13.8345913, 75.7339359)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mysore Road</td>\n",
       "      <td>Bangalore Mysore Road</td>\n",
       "      <td>(51.4629324, -0.1601502)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jayanagar</td>\n",
       "      <td>Bangalore Jayanagar</td>\n",
       "      <td>(27.64392675, 83.05280519687284)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Kumaraswamy Layout</td>\n",
       "      <td>Bangalore Kumaraswamy Layout</td>\n",
       "      <td>(12.9081487, 77.5553179)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Name                      new_Name  \\\n",
       "0        Banashankari        Bangalore Banashankari   \n",
       "1        Basavanagudi        Bangalore Basavanagudi   \n",
       "2         Mysore Road         Bangalore Mysore Road   \n",
       "3           Jayanagar           Bangalore Jayanagar   \n",
       "4  Kumaraswamy Layout  Bangalore Kumaraswamy Layout   \n",
       "\n",
       "                            geo_loc  \n",
       "0          (15.8876779, 75.7046777)  \n",
       "1          (13.8345913, 75.7339359)  \n",
       "2          (51.4629324, -0.1601502)  \n",
       "3  (27.64392675, 83.05280519687284)  \n",
       "4          (12.9081487, 77.5553179)  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "locations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "locations.to_csv('zomato_locations.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### We have found out latitude and longitude of each location listed in the dataset using geopy.\n",
    "##### This is used to plot maps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "Rest_locations=pd.DataFrame(df['location'].value_counts().reset_index())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "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>Name</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTM</td>\n",
       "      <td>4237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Koramangala 5th Block</td>\n",
       "      <td>2358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HSR</td>\n",
       "      <td>2113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Indiranagar</td>\n",
       "      <td>1892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JP Nagar</td>\n",
       "      <td>1849</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Name  count\n",
       "0                    BTM   4237\n",
       "1  Koramangala 5th Block   2358\n",
       "2                    HSR   2113\n",
       "3            Indiranagar   1892\n",
       "4               JP Nagar   1849"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Rest_locations.columns=['Name','count']\n",
    "Rest_locations.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### now combine both the dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "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>Name</th>\n",
       "      <th>new_Name</th>\n",
       "      <th>geo_loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Bangalore Banashankari</td>\n",
       "      <td>(15.8876779, 75.7046777)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Bangalore Basavanagudi</td>\n",
       "      <td>(13.8345913, 75.7339359)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mysore Road</td>\n",
       "      <td>Bangalore Mysore Road</td>\n",
       "      <td>(51.4629324, -0.1601502)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jayanagar</td>\n",
       "      <td>Bangalore Jayanagar</td>\n",
       "      <td>(27.64392675, 83.05280519687284)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Kumaraswamy Layout</td>\n",
       "      <td>Bangalore Kumaraswamy Layout</td>\n",
       "      <td>(12.9081487, 77.5553179)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Name                      new_Name  \\\n",
       "0        Banashankari        Bangalore Banashankari   \n",
       "1        Basavanagudi        Bangalore Basavanagudi   \n",
       "2         Mysore Road         Bangalore Mysore Road   \n",
       "3           Jayanagar           Bangalore Jayanagar   \n",
       "4  Kumaraswamy Layout  Bangalore Kumaraswamy Layout   \n",
       "\n",
       "                            geo_loc  \n",
       "0          (15.8876779, 75.7046777)  \n",
       "1          (13.8345913, 75.7339359)  \n",
       "2          (51.4629324, -0.1601502)  \n",
       "3  (27.64392675, 83.05280519687284)  \n",
       "4          (12.9081487, 77.5553179)  "
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "locations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(92, 3)"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "locations.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(92, 2)"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Rest_locations.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "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>Name</th>\n",
       "      <th>count</th>\n",
       "      <th>new_Name</th>\n",
       "      <th>geo_loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTM</td>\n",
       "      <td>4237</td>\n",
       "      <td>Bangalore BTM</td>\n",
       "      <td>(12.911275849999999, 77.60456543431182)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Koramangala 5th Block</td>\n",
       "      <td>2358</td>\n",
       "      <td>Bangalore Koramangala 5th Block</td>\n",
       "      <td>(13.2923988, 77.7519261)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HSR</td>\n",
       "      <td>2113</td>\n",
       "      <td>Bangalore HSR</td>\n",
       "      <td>(18.1475, 41.538889)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Indiranagar</td>\n",
       "      <td>1892</td>\n",
       "      <td>Bangalore Indiranagar</td>\n",
       "      <td>(12.9732913, 77.6404672)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JP Nagar</td>\n",
       "      <td>1849</td>\n",
       "      <td>Bangalore JP Nagar</td>\n",
       "      <td>(12.2655944, 76.6465404)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Name  count                         new_Name  \\\n",
       "0                    BTM   4237                    Bangalore BTM   \n",
       "1  Koramangala 5th Block   2358  Bangalore Koramangala 5th Block   \n",
       "2                    HSR   2113                    Bangalore HSR   \n",
       "3            Indiranagar   1892            Bangalore Indiranagar   \n",
       "4               JP Nagar   1849               Bangalore JP Nagar   \n",
       "\n",
       "                                   geo_loc  \n",
       "0  (12.911275849999999, 77.60456543431182)  \n",
       "1                 (13.2923988, 77.7519261)  \n",
       "2                     (18.1475, 41.538889)  \n",
       "3                 (12.9732913, 77.6404672)  \n",
       "4                 (12.2655944, 76.6465404)  "
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Restaurant_locations=Rest_locations.merge(locations,on='Name',how=\"left\").dropna()\n",
    "Restaurant_locations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(91, 4)"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Restaurant_locations.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4237"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Restaurant_locations['count'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(Restaurant_locations['geo_loc'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generateBaseMap(default_location=[12.97, 77.59], default_zoom_start=12):\n",
    "    base_map = folium.Map(location=default_location, zoom_start=default_zoom_start)\n",
    "    return base_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "91"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(Restaurant_locations['geo_loc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Name        0\n",
       "count       0\n",
       "new_Name    0\n",
       "geo_loc     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Restaurant_locations.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12.911275849999999"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Restaurant_locations['geo_loc'][0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "77.60456543431182"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Restaurant_locations['geo_loc'][0][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([(12.911275849999999, 77.60456543431182), (13.2923988, 77.7519261),\n",
       "       (18.1475, 41.538889), (12.9732913, 77.6404672),\n",
       "       (12.2655944, 76.6465404), (27.64392675, 83.05280519687284),\n",
       "       (44.3730577, -71.6118577), (12.9552572, 77.6984163),\n",
       "       (12.9389434, 77.6021702), (13.2923988, 77.7519261),\n",
       "       (40.28745, -76.964526), (13.2923988, 77.7519261),\n",
       "       (12.93577245, 77.66676103753434), (12.9317704, 77.6228514),\n",
       "       (-6.1938201, 106.8920008), (12.9244803, 77.6502737),\n",
       "       (12.9778793, 77.6246697), (12.93433385, 77.63040639553275),\n",
       "       (29.4534927, -98.6440138), (15.8876779, 75.7046777),\n",
       "       (13.0221416, 77.6403368), (13.0027353, 77.5703253),\n",
       "       (13.8345913, 75.7339359), (43.9849475, -66.1215314),\n",
       "       (36.1014935, 44.6514938), (33.5935063, -79.0345627),\n",
       "       (12.996845, 77.6130165), (-33.8105886, 151.0046661),\n",
       "       (13.0093455, 77.6377094), (13.0288251, 77.5711478),\n",
       "       (40.7652844, -76.373824), (13.0141618, 77.6518539),\n",
       "       (12.9882338, 77.554883), (42.6768669, -88.1495275),\n",
       "       (12.9624669, 77.6381958), (19.2306891, 78.2300806),\n",
       "       (42.810397, -81.8348464), (51.4066693, -0.1582208),\n",
       "       (51.5173375, -0.073532), (12.945245, 77.6269144),\n",
       "       (18.5322493, 73.8499601124847), (12.9678074, 77.6568367),\n",
       "       (12.988721250000001, 77.58516877601824), (12.9417812, 77.6160146),\n",
       "       (12.9489339, 77.5968273), (12.9271867, 77.6266252),\n",
       "       (12.9081487, 77.5553179), (13.2227, 78.5541977),\n",
       "       (12.9089453, 77.6239038), (12.973936, 77.6509982),\n",
       "       (12.9931876, 77.5753419), (12.9933829, 77.5389467),\n",
       "       (41.3986533, -82.4199709), (-33.8687441, 18.5137421),\n",
       "       (13.0258087, 77.6305067), (1.2847055, 103.84320655721689),\n",
       "       (13.02383, 77.5529215), (13.0358698, 77.6323597),\n",
       "       (12.923525399999999, 77.62228735395182), (12.9846713, 77.6790908),\n",
       "       (12.9791198, 77.5912997), (12.9414662, 77.7470942),\n",
       "       (12.9673253, 77.7166857), (39.76880625, -86.15345077251979),\n",
       "       (12.7581056, 77.798884), (22.8359967, 69.3405962),\n",
       "       (19.060047150000003, 72.92375205185107), (13.0227204, 77.595715),\n",
       "       (15.8782951, 74.5084834), (23.1485712, 81.6048241),\n",
       "       (13.0621474, 77.58006135480495), (13.2923988, 77.7519261),\n",
       "       (12.9791198, 77.5912997), (12.957998, 77.6037312),\n",
       "       (53.4629144, -2.7000019), (12.9890242, 77.4718714),\n",
       "       (13.6285774, 77.4642026), (13.16843, 78.40116),\n",
       "       (12.8667841, 77.5347037), (51.4629324, -0.1601502),\n",
       "       (12.9791198, 77.5912997), (13.007516, 77.695935),\n",
       "       (13.0382184, 77.5919), (12.9055682, 77.5455438),\n",
       "       (12.9176571, 77.4837568), (12.9791198, 77.5912997),\n",
       "       (12.9791198, 77.5912997), (13.1006982, 77.5963454),\n",
       "       (12.9274413, 77.5155224), (13.0329419, 77.5273253),\n",
       "       (12.9546741, 77.5121724)], dtype=object)"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array(Restaurant_locations['geo_loc'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### unzip it\n",
    "lat,lon=zip(*np.array(Restaurant_locations['geo_loc']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "Restaurant_locations['lat']=lat\n",
    "Restaurant_locations['lon']=lon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "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>Name</th>\n",
       "      <th>count</th>\n",
       "      <th>new_Name</th>\n",
       "      <th>geo_loc</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTM</td>\n",
       "      <td>4237</td>\n",
       "      <td>Bangalore BTM</td>\n",
       "      <td>(12.911275849999999, 77.60456543431182)</td>\n",
       "      <td>12.911276</td>\n",
       "      <td>77.604565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Koramangala 5th Block</td>\n",
       "      <td>2358</td>\n",
       "      <td>Bangalore Koramangala 5th Block</td>\n",
       "      <td>(13.2923988, 77.7519261)</td>\n",
       "      <td>13.292399</td>\n",
       "      <td>77.751926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HSR</td>\n",
       "      <td>2113</td>\n",
       "      <td>Bangalore HSR</td>\n",
       "      <td>(18.1475, 41.538889)</td>\n",
       "      <td>18.147500</td>\n",
       "      <td>41.538889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Indiranagar</td>\n",
       "      <td>1892</td>\n",
       "      <td>Bangalore Indiranagar</td>\n",
       "      <td>(12.9732913, 77.6404672)</td>\n",
       "      <td>12.973291</td>\n",
       "      <td>77.640467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JP Nagar</td>\n",
       "      <td>1849</td>\n",
       "      <td>Bangalore JP Nagar</td>\n",
       "      <td>(12.2655944, 76.6465404)</td>\n",
       "      <td>12.265594</td>\n",
       "      <td>76.646540</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Name  count                         new_Name  \\\n",
       "0                    BTM   4237                    Bangalore BTM   \n",
       "1  Koramangala 5th Block   2358  Bangalore Koramangala 5th Block   \n",
       "2                    HSR   2113                    Bangalore HSR   \n",
       "3            Indiranagar   1892            Bangalore Indiranagar   \n",
       "4               JP Nagar   1849               Bangalore JP Nagar   \n",
       "\n",
       "                                   geo_loc        lat        lon  \n",
       "0  (12.911275849999999, 77.60456543431182)  12.911276  77.604565  \n",
       "1                 (13.2923988, 77.7519261)  13.292399  77.751926  \n",
       "2                     (18.1475, 41.538889)  18.147500  41.538889  \n",
       "3                 (12.9732913, 77.6404672)  12.973291  77.640467  \n",
       "4                 (12.2655944, 76.6465404)  12.265594  76.646540  "
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Restaurant_locations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: folium in c:\\users\\mcr\\anaconda3\\lib\\site-packages (0.10.1)\n",
      "Requirement already satisfied: branca>=0.3.0 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from folium) (0.4.0)\n",
      "Requirement already satisfied: numpy in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from folium) (1.18.1)\n",
      "Requirement already satisfied: jinja2>=2.9 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from folium) (2.11.2)\n",
      "Requirement already satisfied: requests in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from folium) (2.23.0)\n",
      "Requirement already satisfied: six in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from branca>=0.3.0->folium) (1.14.0)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from jinja2>=2.9->folium) (1.1.1)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from requests->folium) (1.25.8)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from requests->folium) (2020.6.20)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from requests->folium) (3.0.4)\n",
      "Requirement already satisfied: idna<3,>=2.5 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from requests->folium) (2.8)\n"
     ]
    }
   ],
   "source": [
    "!pip install folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "from folium.plugins import HeatMap\n",
    "basemap=generateBaseMap()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x5b05367388>"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[12.911275849999999, 77.60456543431182, 4237.0],\n",
       " [13.2923988, 77.7519261, 2358.0],\n",
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       " [12.9732913, 77.6404672, 1892.0],\n",
       " [12.2655944, 76.6465404, 1849.0],\n",
       " [27.64392675, 83.05280519687284, 1711.0],\n",
       " [44.3730577, -71.6118577, 1688.0],\n",
       " [12.9552572, 77.6984163, 1488.0],\n",
       " [12.9389434, 77.6021702, 1318.0],\n",
       " [13.2923988, 77.7519261, 1103.0],\n",
       " [40.28745, -76.964526, 1084.0],\n",
       " [13.2923988, 77.7519261, 1084.0],\n",
       " [12.93577245, 77.66676103753434, 1078.0],\n",
       " [12.9317704, 77.6228514, 964.0],\n",
       " [-6.1938201, 106.8920008, 963.0],\n",
       " [12.9244803, 77.6502737, 913.0],\n",
       " [12.9778793, 77.6246697, 901.0],\n",
       " [12.93433385, 77.63040639553275, 864.0],\n",
       " [29.4534927, -98.6440138, 818.0],\n",
       " [15.8876779, 75.7046777, 805.0],\n",
       " [13.0221416, 77.6403368, 745.0],\n",
       " [13.0027353, 77.5703253, 657.0],\n",
       " [13.8345913, 75.7339359, 628.0],\n",
       " [43.9849475, -66.1215314, 626.0],\n",
       " [36.1014935, 44.6514938, 607.0],\n",
       " [33.5935063, -79.0345627, 579.0],\n",
       " [12.996845, 77.6130165, 574.0],\n",
       " [-33.8105886, 151.0046661, 550.0],\n",
       " [13.0093455, 77.6377094, 522.0],\n",
       " [13.0288251, 77.5711478, 521.0],\n",
       " [40.7652844, -76.373824, 493.0],\n",
       " [13.0141618, 77.6518539, 491.0],\n",
       " [12.9882338, 77.554883, 487.0],\n",
       " [42.6768669, -88.1495275, 475.0],\n",
       " [12.9624669, 77.6381958, 426.0],\n",
       " [19.2306891, 78.2300806, 390.0],\n",
       " [42.810397, -81.8348464, 383.0],\n",
       " [51.4066693, -0.1582208, 343.0],\n",
       " [51.5173375, -0.073532, 309.0],\n",
       " [12.945245, 77.6269144, 292.0],\n",
       " [18.5322493, 73.8499601124847, 277.0],\n",
       " [12.9678074, 77.6568367, 262.0],\n",
       " [12.988721250000001, 77.58516877601824, 252.0],\n",
       " [12.9417812, 77.6160146, 227.0],\n",
       " [12.9489339, 77.5968273, 203.0],\n",
       " [12.9271867, 77.6266252, 193.0],\n",
       " [12.9081487, 77.5553179, 168.0],\n",
       " [13.2227, 78.5541977, 165.0],\n",
       " [12.9089453, 77.6239038, 157.0],\n",
       " [12.973936, 77.6509982, 152.0],\n",
       " [12.9931876, 77.5753419, 142.0],\n",
       " [12.9933829, 77.5389467, 141.0],\n",
       " [41.3986533, -82.4199709, 140.0],\n",
       " [-33.8687441, 18.5137421, 137.0],\n",
       " [13.0258087, 77.6305067, 129.0],\n",
       " [1.2847055, 103.84320655721689, 118.0],\n",
       " [13.02383, 77.5529215, 112.0],\n",
       " [13.0358698, 77.6323597, 111.0],\n",
       " [12.923525399999999, 77.62228735395182, 92.0],\n",
       " [12.9846713, 77.6790908, 91.0],\n",
       " [12.9791198, 77.5912997, 91.0],\n",
       " [12.9414662, 77.7470942, 91.0],\n",
       " [12.9673253, 77.7166857, 84.0],\n",
       " [39.76880625, -86.15345077251979, 77.0],\n",
       " [12.7581056, 77.798884, 74.0],\n",
       " [22.8359967, 69.3405962, 69.0],\n",
       " [19.060047150000003, 72.92375205185107, 66.0],\n",
       " [13.0227204, 77.595715, 63.0],\n",
       " [15.8782951, 74.5084834, 58.0],\n",
       " [23.1485712, 81.6048241, 50.0],\n",
       " [13.0621474, 77.58006135480495, 47.0],\n",
       " [13.2923988, 77.7519261, 31.0],\n",
       " [12.9791198, 77.5912997, 30.0],\n",
       " [12.957998, 77.6037312, 27.0],\n",
       " [53.4629144, -2.7000019, 26.0],\n",
       " [12.9890242, 77.4718714, 24.0],\n",
       " [13.6285774, 77.4642026, 23.0],\n",
       " [13.16843, 78.40116, 22.0],\n",
       " [12.8667841, 77.5347037, 19.0],\n",
       " [51.4629324, -0.1601502, 18.0],\n",
       " [12.9791198, 77.5912997, 14.0],\n",
       " [13.007516, 77.695935, 11.0],\n",
       " [13.0382184, 77.5919, 10.0],\n",
       " [12.9055682, 77.5455438, 9.0],\n",
       " [12.9176571, 77.4837568, 9.0],\n",
       " [12.9791198, 77.5912997, 8.0],\n",
       " [12.9791198, 77.5912997, 5.0],\n",
       " [13.1006982, 77.5963454, 4.0],\n",
       " [12.9274413, 77.5155224, 2.0],\n",
       " [13.0329419, 77.5273253, 1.0],\n",
       " [12.9546741, 77.5121724, 1.0]]"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Restaurant_locations[['lat','lon','count']].values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<folium.plugins.heat_map.HeatMap at 0x5b08cc0fc8>"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HeatMap(Restaurant_locations[['lat','lon','count']].values.tolist(),zoom=20,radius=15).add_to(basemap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
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    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
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            L_DISABLE_3D = false;
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    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
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    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.5.1/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
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    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_a2a90397587b4da8a88f1cc79a0fc7bd {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://leaflet.github.io/Leaflet.heat/dist/leaflet-heat.js"></script>
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            <div class="folium-map" id="map_a2a90397587b4da8a88f1cc79a0fc7bd" ></div>
        
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<script>    
    
            var map_a2a90397587b4da8a88f1cc79a0fc7bd = L.map(
                "map_a2a90397587b4da8a88f1cc79a0fc7bd",
                {
                    center: [12.97, 77.59],
                    crs: L.CRS.EPSG3857,
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            var tile_layer_51c7cd71fe9b421a8be370dc19526d17 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
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            var heat_map_8309be4249f44004b4ac2102fb35b7be = L.heatLayer(
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x5b05367388>"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "basemap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### It is clear that restaurants tend to concentrate in central bangalore area.\n",
    "##### The clutter of restaurants lowers are we move away from central.\n",
    "##### So,potential restaurant entrepreneurs can refer this and find out good locations for their venture."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### note heatmap is good when we have latitude,longitude or imporatnce of that particular place or count of that place"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Heatmap of North Indian restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>address</th>\n",
       "      <th>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.zomato.com/bangalore/jalsa-banasha...</td>\n",
       "      <td>942, 21st Main Road, 2nd Stage, Banashankari, ...</td>\n",
       "      <td>Jalsa</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1</td>\n",
       "      <td>775</td>\n",
       "      <td>080 42297555\\r\\n+91 9743772233</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Pasta, Lunch Buffet, Masala Papad, Paneer Laja...</td>\n",
       "      <td>North Indian, Mughlai, Chinese</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  A beautiful place to ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.zomato.com/bangalore/spice-elephan...</td>\n",
       "      <td>2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...</td>\n",
       "      <td>Spice Elephant</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1</td>\n",
       "      <td>787</td>\n",
       "      <td>080 41714161</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Momos, Lunch Buffet, Chocolate Nirvana, Thai G...</td>\n",
       "      <td>Chinese, North Indian, Thai</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Had been here for din...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.zomato.com/SanchurroBangalore?cont...</td>\n",
       "      <td>1112, Next to KIMS Medical College, 17th Cross...</td>\n",
       "      <td>San Churro Cafe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>918</td>\n",
       "      <td>+91 9663487993</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Cafe, Casual Dining</td>\n",
       "      <td>Churros, Cannelloni, Minestrone Soup, Hot Choc...</td>\n",
       "      <td>Cafe, Mexican, Italian</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 3.0', \"RATED\\n  Ambience is not that ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.zomato.com/bangalore/addhuri-udupi...</td>\n",
       "      <td>1st Floor, Annakuteera, 3rd Stage, Banashankar...</td>\n",
       "      <td>Addhuri Udupi Bhojana</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>88</td>\n",
       "      <td>+91 9620009302</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>Masala Dosa</td>\n",
       "      <td>South Indian, North Indian</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Great food and proper...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.zomato.com/bangalore/grand-village...</td>\n",
       "      <td>10, 3rd Floor, Lakshmi Associates, Gandhi Baza...</td>\n",
       "      <td>Grand Village</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>166</td>\n",
       "      <td>+91 8026612447\\r\\n+91 9901210005</td>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Panipuri, Gol Gappe</td>\n",
       "      <td>North Indian, Rajasthani</td>\n",
       "      <td>600</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Very good restaurant ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url  \\\n",
       "0  https://www.zomato.com/bangalore/jalsa-banasha...   \n",
       "1  https://www.zomato.com/bangalore/spice-elephan...   \n",
       "2  https://www.zomato.com/SanchurroBangalore?cont...   \n",
       "3  https://www.zomato.com/bangalore/addhuri-udupi...   \n",
       "4  https://www.zomato.com/bangalore/grand-village...   \n",
       "\n",
       "                                             address                   name  \\\n",
       "0  942, 21st Main Road, 2nd Stage, Banashankari, ...                  Jalsa   \n",
       "1  2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...         Spice Elephant   \n",
       "2  1112, Next to KIMS Medical College, 17th Cross...        San Churro Cafe   \n",
       "3  1st Floor, Annakuteera, 3rd Stage, Banashankar...  Addhuri Udupi Bhojana   \n",
       "4  10, 3rd Floor, Lakshmi Associates, Gandhi Baza...          Grand Village   \n",
       "\n",
       "  online_order book_table  rate  votes                             phone  \\\n",
       "0          Yes        Yes   4.1    775    080 42297555\\r\\n+91 9743772233   \n",
       "1          Yes         No   4.1    787                      080 41714161   \n",
       "2          Yes         No   3.8    918                    +91 9663487993   \n",
       "3           No         No   3.7     88                    +91 9620009302   \n",
       "4           No         No   3.8    166  +91 8026612447\\r\\n+91 9901210005   \n",
       "\n",
       "       location            rest_type  \\\n",
       "0  Banashankari        Casual Dining   \n",
       "1  Banashankari        Casual Dining   \n",
       "2  Banashankari  Cafe, Casual Dining   \n",
       "3  Banashankari          Quick Bites   \n",
       "4  Basavanagudi        Casual Dining   \n",
       "\n",
       "                                          dish_liked  \\\n",
       "0  Pasta, Lunch Buffet, Masala Papad, Paneer Laja...   \n",
       "1  Momos, Lunch Buffet, Chocolate Nirvana, Thai G...   \n",
       "2  Churros, Cannelloni, Minestrone Soup, Hot Choc...   \n",
       "3                                        Masala Dosa   \n",
       "4                                Panipuri, Gol Gappe   \n",
       "\n",
       "                         cuisines  approx_cost(for two people)  \\\n",
       "0  North Indian, Mughlai, Chinese                          800   \n",
       "1     Chinese, North Indian, Thai                          800   \n",
       "2          Cafe, Mexican, Italian                          800   \n",
       "3      South Indian, North Indian                          300   \n",
       "4        North Indian, Rajasthani                          600   \n",
       "\n",
       "                                        reviews_list menu_item  \\\n",
       "0  [('Rated 4.0', 'RATED\\n  A beautiful place to ...        []   \n",
       "1  [('Rated 4.0', 'RATED\\n  Had been here for din...        []   \n",
       "2  [('Rated 3.0', \"RATED\\n  Ambience is not that ...        []   \n",
       "3  [('Rated 4.0', \"RATED\\n  Great food and proper...        []   \n",
       "4  [('Rated 4.0', 'RATED\\n  Very good restaurant ...        []   \n",
       "\n",
       "  listed_in(type) listed_in(city)  \n",
       "0          Buffet    Banashankari  \n",
       "1          Buffet    Banashankari  \n",
       "2          Buffet    Banashankari  \n",
       "3          Buffet    Banashankari  \n",
       "4          Buffet    Banashankari  "
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>https://www.zomato.com/bangalore/timepass-dinn...</td>\n",
       "      <td>37, 5-1, 4th Floor, Bosco Court, Gandhi Bazaar...</td>\n",
       "      <td>Timepass Dinner</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>286</td>\n",
       "      <td>+91 9980040002\\r\\n+91 9980063005</td>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Onion Rings, Pasta, Kadhai Paneer, Salads, Sal...</td>\n",
       "      <td>North Indian</td>\n",
       "      <td>600</td>\n",
       "      <td>[('Rated 3.0', 'RATED\\n  Food 3/5\\nAmbience 3/...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>https://www.zomato.com/bangalore/petoo-banasha...</td>\n",
       "      <td>276, Ground Floor, 100 Feet Outer Ring Road, B...</td>\n",
       "      <td>Petoo</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>21</td>\n",
       "      <td>+91 8026893211</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>NaN</td>\n",
       "      <td>North Indian</td>\n",
       "      <td>450</td>\n",
       "      <td>[('Rated 2.0', 'RATED\\n  This is a neatly made...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Delivery</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>https://www.zomato.com/bangalore/spicy-tandoor...</td>\n",
       "      <td>Opposite ICICi Bank, Hanuman Nagar, Banashanka...</td>\n",
       "      <td>Spicy Tandoor</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>+91 8050884222</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>NaN</td>\n",
       "      <td>North Indian</td>\n",
       "      <td>150</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  cost for chicken roll...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Delivery</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>https://www.zomato.com/bangalore/krishna-sagar...</td>\n",
       "      <td>38, 22nd Main, 22nd Cross, Opposite BDA, 2nd S...</td>\n",
       "      <td>Krishna Sagar</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.5</td>\n",
       "      <td>31</td>\n",
       "      <td>+91 8892752997\\r\\n+91 7204780429</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>NaN</td>\n",
       "      <td>North Indian</td>\n",
       "      <td>200</td>\n",
       "      <td>[('Rated 1.0', 'RATED\\n  Worst experience with...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Delivery</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>https://www.zomato.com/bangalore/nandhini-delu...</td>\n",
       "      <td>304, Opposite Apollo Public School, 100 Feet R...</td>\n",
       "      <td>Nandhini Deluxe</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>2.6</td>\n",
       "      <td>283</td>\n",
       "      <td>080 26890011\\r\\n080 26890033</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Biryani, Chicken Guntur, Thali, Buttermilk, Ma...</td>\n",
       "      <td>North Indian</td>\n",
       "      <td>600</td>\n",
       "      <td>[('Rated 3.0', 'RATED\\n  Ididnt like much.\\n\\n...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Delivery</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  url  \\\n",
       "5   https://www.zomato.com/bangalore/timepass-dinn...   \n",
       "50  https://www.zomato.com/bangalore/petoo-banasha...   \n",
       "72  https://www.zomato.com/bangalore/spicy-tandoor...   \n",
       "87  https://www.zomato.com/bangalore/krishna-sagar...   \n",
       "94  https://www.zomato.com/bangalore/nandhini-delu...   \n",
       "\n",
       "                                              address             name  \\\n",
       "5   37, 5-1, 4th Floor, Bosco Court, Gandhi Bazaar...  Timepass Dinner   \n",
       "50  276, Ground Floor, 100 Feet Outer Ring Road, B...            Petoo   \n",
       "72  Opposite ICICi Bank, Hanuman Nagar, Banashanka...    Spicy Tandoor   \n",
       "87  38, 22nd Main, 22nd Cross, Opposite BDA, 2nd S...    Krishna Sagar   \n",
       "94  304, Opposite Apollo Public School, 100 Feet R...  Nandhini Deluxe   \n",
       "\n",
       "   online_order book_table  rate  votes                             phone  \\\n",
       "5           Yes         No   3.8    286  +91 9980040002\\r\\n+91 9980063005   \n",
       "50           No         No   3.7     21                    +91 8026893211   \n",
       "72           No         No   0.0      0                    +91 8050884222   \n",
       "87           No         No   3.5     31  +91 8892752997\\r\\n+91 7204780429   \n",
       "94           No         No   2.6    283      080 26890011\\r\\n080 26890033   \n",
       "\n",
       "        location      rest_type  \\\n",
       "5   Basavanagudi  Casual Dining   \n",
       "50  Banashankari    Quick Bites   \n",
       "72  Banashankari    Quick Bites   \n",
       "87  Banashankari    Quick Bites   \n",
       "94  Banashankari  Casual Dining   \n",
       "\n",
       "                                           dish_liked      cuisines  \\\n",
       "5   Onion Rings, Pasta, Kadhai Paneer, Salads, Sal...  North Indian   \n",
       "50                                                NaN  North Indian   \n",
       "72                                                NaN  North Indian   \n",
       "87                                                NaN  North Indian   \n",
       "94  Biryani, Chicken Guntur, Thali, Buttermilk, Ma...  North Indian   \n",
       "\n",
       "    approx_cost(for two people)  \\\n",
       "5                           600   \n",
       "50                          450   \n",
       "72                          150   \n",
       "87                          200   \n",
       "94                          600   \n",
       "\n",
       "                                         reviews_list menu_item  \\\n",
       "5   [('Rated 3.0', 'RATED\\n  Food 3/5\\nAmbience 3/...        []   \n",
       "50  [('Rated 2.0', 'RATED\\n  This is a neatly made...        []   \n",
       "72  [('Rated 4.0', 'RATED\\n  cost for chicken roll...        []   \n",
       "87  [('Rated 1.0', 'RATED\\n  Worst experience with...        []   \n",
       "94  [('Rated 3.0', 'RATED\\n  Ididnt like much.\\n\\n...        []   \n",
       "\n",
       "   listed_in(type) listed_in(city)  \n",
       "5           Buffet    Banashankari  \n",
       "50        Delivery    Banashankari  \n",
       "72        Delivery    Banashankari  \n",
       "87        Delivery    Banashankari  \n",
       "94        Delivery    Banashankari  "
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2= df[df['cuisines']=='North Indian']\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>Name</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTM</td>\n",
       "      <td>262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Banaswadi</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bannerghatta Road</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Name  count\n",
       "0                BTM    262\n",
       "1       Banashankari     35\n",
       "2          Banaswadi      9\n",
       "3  Bannerghatta Road     60\n",
       "4       Basavanagudi     17"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "north_india=df2.groupby(['location'],as_index=False)['url'].agg('count')\n",
    "north_india.columns=['Name','count']\n",
    "north_india.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "north_india=north_india.merge(locations,on=\"Name\",how='left').dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "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>Name</th>\n",
       "      <th>count</th>\n",
       "      <th>new_Name</th>\n",
       "      <th>geo_loc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTM</td>\n",
       "      <td>262</td>\n",
       "      <td>Bangalore BTM</td>\n",
       "      <td>(12.911275849999999, 77.60456543431182)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>35</td>\n",
       "      <td>Bangalore Banashankari</td>\n",
       "      <td>(15.8876779, 75.7046777)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Banaswadi</td>\n",
       "      <td>9</td>\n",
       "      <td>Bangalore Banaswadi</td>\n",
       "      <td>(13.0141618, 77.6518539)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bannerghatta Road</td>\n",
       "      <td>60</td>\n",
       "      <td>Bangalore Bannerghatta Road</td>\n",
       "      <td>(12.9389434, 77.6021702)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>17</td>\n",
       "      <td>Bangalore Basavanagudi</td>\n",
       "      <td>(13.8345913, 75.7339359)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Name  count                     new_Name  \\\n",
       "0                BTM    262                Bangalore BTM   \n",
       "1       Banashankari     35       Bangalore Banashankari   \n",
       "2          Banaswadi      9          Bangalore Banaswadi   \n",
       "3  Bannerghatta Road     60  Bangalore Bannerghatta Road   \n",
       "4       Basavanagudi     17       Bangalore Basavanagudi   \n",
       "\n",
       "                                   geo_loc  \n",
       "0  (12.911275849999999, 77.60456543431182)  \n",
       "1                 (15.8876779, 75.7046777)  \n",
       "2                 (13.0141618, 77.6518539)  \n",
       "3                 (12.9389434, 77.6021702)  \n",
       "4                 (13.8345913, 75.7339359)  "
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "north_india.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "north_india['lan'],north_india['lon']=zip(*north_india['geo_loc'].values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "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>Name</th>\n",
       "      <th>count</th>\n",
       "      <th>new_Name</th>\n",
       "      <th>lan</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTM</td>\n",
       "      <td>262</td>\n",
       "      <td>Bangalore BTM</td>\n",
       "      <td>12.911276</td>\n",
       "      <td>77.604565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>35</td>\n",
       "      <td>Bangalore Banashankari</td>\n",
       "      <td>15.887678</td>\n",
       "      <td>75.704678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Banaswadi</td>\n",
       "      <td>9</td>\n",
       "      <td>Bangalore Banaswadi</td>\n",
       "      <td>13.014162</td>\n",
       "      <td>77.651854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bannerghatta Road</td>\n",
       "      <td>60</td>\n",
       "      <td>Bangalore Bannerghatta Road</td>\n",
       "      <td>12.938943</td>\n",
       "      <td>77.602170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>17</td>\n",
       "      <td>Bangalore Basavanagudi</td>\n",
       "      <td>13.834591</td>\n",
       "      <td>75.733936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Varthur Main Road, Whitefield</td>\n",
       "      <td>3</td>\n",
       "      <td>Bangalore Varthur Main Road, Whitefield</td>\n",
       "      <td>12.941466</td>\n",
       "      <td>77.747094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Vasanth Nagar</td>\n",
       "      <td>12</td>\n",
       "      <td>Bangalore Vasanth Nagar</td>\n",
       "      <td>12.988721</td>\n",
       "      <td>77.585169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Whitefield</td>\n",
       "      <td>146</td>\n",
       "      <td>Bangalore Whitefield</td>\n",
       "      <td>44.373058</td>\n",
       "      <td>-71.611858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Wilson Garden</td>\n",
       "      <td>37</td>\n",
       "      <td>Bangalore Wilson Garden</td>\n",
       "      <td>12.948934</td>\n",
       "      <td>77.596827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Yeshwantpur</td>\n",
       "      <td>3</td>\n",
       "      <td>Bangalore Yeshwantpur</td>\n",
       "      <td>13.023830</td>\n",
       "      <td>77.552921</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>63 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Name  count  \\\n",
       "0                             BTM    262   \n",
       "1                    Banashankari     35   \n",
       "2                       Banaswadi      9   \n",
       "3               Bannerghatta Road     60   \n",
       "4                    Basavanagudi     17   \n",
       "..                            ...    ...   \n",
       "58  Varthur Main Road, Whitefield      3   \n",
       "59                  Vasanth Nagar     12   \n",
       "60                     Whitefield    146   \n",
       "61                  Wilson Garden     37   \n",
       "62                    Yeshwantpur      3   \n",
       "\n",
       "                                   new_Name        lan        lon  \n",
       "0                             Bangalore BTM  12.911276  77.604565  \n",
       "1                    Bangalore Banashankari  15.887678  75.704678  \n",
       "2                       Bangalore Banaswadi  13.014162  77.651854  \n",
       "3               Bangalore Bannerghatta Road  12.938943  77.602170  \n",
       "4                    Bangalore Basavanagudi  13.834591  75.733936  \n",
       "..                                      ...        ...        ...  \n",
       "58  Bangalore Varthur Main Road, Whitefield  12.941466  77.747094  \n",
       "59                  Bangalore Vasanth Nagar  12.988721  77.585169  \n",
       "60                     Bangalore Whitefield  44.373058 -71.611858  \n",
       "61                  Bangalore Wilson Garden  12.948934  77.596827  \n",
       "62                    Bangalore Yeshwantpur  13.023830  77.552921  \n",
       "\n",
       "[63 rows x 5 columns]"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "north_india.drop(['geo_loc'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" 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onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x5b08b6fa88>"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basemap=generateBaseMap()\n",
    "HeatMap(north_india[['lan','lon','count']].values.tolist(),zoom=20,radius=15).add_to(basemap)\n",
    "basemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### What about South Indian cuisines?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [],
   "source": [
    "df3= df[df['cuisines']=='South Indian']\n",
    "south_india=df2.groupby(['location'],as_index=False)['url'].agg('count')\n",
    "south_india.columns=['Name','count']\n",
    "south_india=south_india.merge(locations,on=\"Name\",how='left').dropna()\n",
    "south_india['lan'],south_india['lon']=zip(*south_india['geo_loc'].values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [],
   "source": [
    "south_india=south_india.drop(['geo_loc'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "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>Name</th>\n",
       "      <th>count</th>\n",
       "      <th>new_Name</th>\n",
       "      <th>lan</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTM</td>\n",
       "      <td>262</td>\n",
       "      <td>Bangalore BTM</td>\n",
       "      <td>12.911276</td>\n",
       "      <td>77.604565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Banashankari</td>\n",
       "      <td>35</td>\n",
       "      <td>Bangalore Banashankari</td>\n",
       "      <td>15.887678</td>\n",
       "      <td>75.704678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Banaswadi</td>\n",
       "      <td>9</td>\n",
       "      <td>Bangalore Banaswadi</td>\n",
       "      <td>13.014162</td>\n",
       "      <td>77.651854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bannerghatta Road</td>\n",
       "      <td>60</td>\n",
       "      <td>Bangalore Bannerghatta Road</td>\n",
       "      <td>12.938943</td>\n",
       "      <td>77.602170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>17</td>\n",
       "      <td>Bangalore Basavanagudi</td>\n",
       "      <td>13.834591</td>\n",
       "      <td>75.733936</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Name  count                     new_Name        lan        lon\n",
       "0                BTM    262                Bangalore BTM  12.911276  77.604565\n",
       "1       Banashankari     35       Bangalore Banashankari  15.887678  75.704678\n",
       "2          Banaswadi      9          Bangalore Banaswadi  13.014162  77.651854\n",
       "3  Bannerghatta Road     60  Bangalore Bannerghatta Road  12.938943  77.602170\n",
       "4       Basavanagudi     17       Bangalore Basavanagudi  13.834591  75.733936"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "south_india.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x5b08b70248>"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basemap=generateBaseMap()\n",
    "HeatMap(south_india[['lan','lon','count']].values.tolist(),zoom=20,radius=15).add_to(basemap)\n",
    "basemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Which are the most popular casual dining restaurant chains?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_1=df.groupby(['rest_type','name']).agg('count')\n",
    "datas=df_1.sort_values(['url'],ascending=False).groupby(['rest_type'],\n",
    "                as_index=False).apply(lambda x : x.sort_values(by=\"url\",ascending=False).head(3))['url'].reset_index().rename(columns={'url':'count'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "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>level_0</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>name</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Just Bake</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Warm Oven</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>INDULGE by InnerChef</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>Bakery, Beverage Shop</td>\n",
       "      <td>Homey Bake &amp; Juice</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>Bakery, Beverage Shop</td>\n",
       "      <td>Bake The Cake</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>85</td>\n",
       "      <td>Takeaway</td>\n",
       "      <td>TheRiceBowl.In</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>85</td>\n",
       "      <td>Takeaway</td>\n",
       "      <td>Mount View Fast Food</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>The Good Bowl</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>BOX8- Desi Meals</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>Juice Shop</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>208 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     level_0              rest_type                  name  count\n",
       "0          0                 Bakery             Just Bake     44\n",
       "1          0                 Bakery             Warm Oven     28\n",
       "2          0                 Bakery  INDULGE by InnerChef     28\n",
       "3          1  Bakery, Beverage Shop    Homey Bake & Juice      1\n",
       "4          1  Bakery, Beverage Shop         Bake The Cake      1\n",
       "..       ...                    ...                   ...    ...\n",
       "203       85               Takeaway        TheRiceBowl.In      8\n",
       "204       85               Takeaway  Mount View Fast Food      7\n",
       "205       86     Takeaway, Delivery         The Good Bowl     30\n",
       "206       86     Takeaway, Delivery      BOX8- Desi Meals     27\n",
       "207       86     Takeaway, Delivery            Juice Shop     19\n",
       "\n",
       "[208 rows x 4 columns]"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "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></th>\n",
       "      <th>url</th>\n",
       "      <th>address</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rest_type</th>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Bakery</th>\n",
       "      <th>7th Heaven</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Little For Love</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adarsh Bakery</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adi's Cake N Cafe</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albert Bakery</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "      <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 rowspan=\"5\" valign=\"top\">Takeaway, Delivery</th>\n",
       "      <th>Yumlane</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yumme Veg</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zamorin's Mappillah Biryani</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zu's Doner Kebaps</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eat.fit</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7712 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                url  address  online_order  \\\n",
       "rest_type          name                                                      \n",
       "Bakery             7th Heaven                     2        2             2   \n",
       "                   A Little For Love              1        1             1   \n",
       "                   Adarsh Bakery                  2        2             2   \n",
       "                   Adi's Cake N Cafe              2        2             2   \n",
       "                   Albert Bakery                  1        1             1   \n",
       "...                                             ...      ...           ...   \n",
       "Takeaway, Delivery Yumlane                        2        2             2   \n",
       "                   Yumme Veg                      2        2             2   \n",
       "                   Zamorin's Mappillah Biryani    1        1             1   \n",
       "                   Zu's Doner Kebaps              1        1             1   \n",
       "                   eat.fit                        2        2             2   \n",
       "\n",
       "                                                book_table  rate  votes  \\\n",
       "rest_type          name                                                   \n",
       "Bakery             7th Heaven                            2     2      2   \n",
       "                   A Little For Love                     1     1      1   \n",
       "                   Adarsh Bakery                         2     2      2   \n",
       "                   Adi's Cake N Cafe                     2     2      2   \n",
       "                   Albert Bakery                         1     1      1   \n",
       "...                                                    ...   ...    ...   \n",
       "Takeaway, Delivery Yumlane                               2     2      2   \n",
       "                   Yumme Veg                             2     2      2   \n",
       "                   Zamorin's Mappillah Biryani           1     1      1   \n",
       "                   Zu's Doner Kebaps                     1     1      1   \n",
       "                   eat.fit                               2     2      2   \n",
       "\n",
       "                                                phone  location  dish_liked  \\\n",
       "rest_type          name                                                       \n",
       "Bakery             7th Heaven                       2         2           0   \n",
       "                   A Little For Love                1         1           0   \n",
       "                   Adarsh Bakery                    2         2           0   \n",
       "                   Adi's Cake N Cafe                2         2           0   \n",
       "                   Albert Bakery                    1         1           1   \n",
       "...                                               ...       ...         ...   \n",
       "Takeaway, Delivery Yumlane                          2         2           0   \n",
       "                   Yumme Veg                        2         2           0   \n",
       "                   Zamorin's Mappillah Biryani      1         1           0   \n",
       "                   Zu's Doner Kebaps                0         1           0   \n",
       "                   eat.fit                          2         2           0   \n",
       "\n",
       "                                                cuisines  \\\n",
       "rest_type          name                                    \n",
       "Bakery             7th Heaven                          2   \n",
       "                   A Little For Love                   1   \n",
       "                   Adarsh Bakery                       2   \n",
       "                   Adi's Cake N Cafe                   2   \n",
       "                   Albert Bakery                       1   \n",
       "...                                                  ...   \n",
       "Takeaway, Delivery Yumlane                             2   \n",
       "                   Yumme Veg                           2   \n",
       "                   Zamorin's Mappillah Biryani         1   \n",
       "                   Zu's Doner Kebaps                   1   \n",
       "                   eat.fit                             2   \n",
       "\n",
       "                                                approx_cost(for two people)  \\\n",
       "rest_type          name                                                       \n",
       "Bakery             7th Heaven                                             2   \n",
       "                   A Little For Love                                      1   \n",
       "                   Adarsh Bakery                                          2   \n",
       "                   Adi's Cake N Cafe                                      2   \n",
       "                   Albert Bakery                                          1   \n",
       "...                                                                     ...   \n",
       "Takeaway, Delivery Yumlane                                                2   \n",
       "                   Yumme Veg                                              2   \n",
       "                   Zamorin's Mappillah Biryani                            1   \n",
       "                   Zu's Doner Kebaps                                      1   \n",
       "                   eat.fit                                                2   \n",
       "\n",
       "                                                reviews_list  menu_item  \\\n",
       "rest_type          name                                                   \n",
       "Bakery             7th Heaven                              2          2   \n",
       "                   A Little For Love                       1          1   \n",
       "                   Adarsh Bakery                           2          2   \n",
       "                   Adi's Cake N Cafe                       2          2   \n",
       "                   Albert Bakery                           1          1   \n",
       "...                                                      ...        ...   \n",
       "Takeaway, Delivery Yumlane                                 2          2   \n",
       "                   Yumme Veg                               2          2   \n",
       "                   Zamorin's Mappillah Biryani             1          1   \n",
       "                   Zu's Doner Kebaps                       1          1   \n",
       "                   eat.fit                                 2          2   \n",
       "\n",
       "                                                listed_in(type)  \\\n",
       "rest_type          name                                           \n",
       "Bakery             7th Heaven                                 2   \n",
       "                   A Little For Love                          1   \n",
       "                   Adarsh Bakery                              2   \n",
       "                   Adi's Cake N Cafe                          2   \n",
       "                   Albert Bakery                              1   \n",
       "...                                                         ...   \n",
       "Takeaway, Delivery Yumlane                                    2   \n",
       "                   Yumme Veg                                  2   \n",
       "                   Zamorin's Mappillah Biryani                1   \n",
       "                   Zu's Doner Kebaps                          1   \n",
       "                   eat.fit                                    2   \n",
       "\n",
       "                                                listed_in(city)  \n",
       "rest_type          name                                          \n",
       "Bakery             7th Heaven                                 2  \n",
       "                   A Little For Love                          1  \n",
       "                   Adarsh Bakery                              2  \n",
       "                   Adi's Cake N Cafe                          2  \n",
       "                   Albert Bakery                              1  \n",
       "...                                                         ...  \n",
       "Takeaway, Delivery Yumlane                                    2  \n",
       "                   Yumme Veg                                  2  \n",
       "                   Zamorin's Mappillah Biryani                1  \n",
       "                   Zu's Doner Kebaps                          1  \n",
       "                   eat.fit                                    2  \n",
       "\n",
       "[7712 rows x 15 columns]"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_1=df.groupby(['rest_type','name']).agg('count')\n",
    "df_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "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></th>\n",
       "      <th>url</th>\n",
       "      <th>address</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rest_type</th>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Cafe</th>\n",
       "      <th>Cafe Coffee Day</th>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>86</td>\n",
       "      <td>89</td>\n",
       "      <td>31</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casual Dining, Cafe</th>\n",
       "      <th>Onesta</th>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Quick Bites</th>\n",
       "      <th>Five Star Chicken</th>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>62</td>\n",
       "      <td>67</td>\n",
       "      <td>10</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Domino's Pizza</th>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>55</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>McDonald's</th>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>57</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>59</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",
       "      <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>New Students Corner</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dessert Parlor</th>\n",
       "      <th>Mr Gola</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Casual Dining</th>\n",
       "      <th>Parijatha Paradise</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parijatha Fish Land</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delivery</th>\n",
       "      <th>SaJuSo</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7712 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         url  address  online_order  \\\n",
       "rest_type           name                                              \n",
       "Cafe                Cafe Coffee Day       89       89            89   \n",
       "Casual Dining, Cafe Onesta                85       85            85   \n",
       "Quick Bites         Five Star Chicken     67       67            67   \n",
       "                    Domino's Pizza        60       60            60   \n",
       "                    McDonald's            59       59            59   \n",
       "...                                      ...      ...           ...   \n",
       "                    New Students Corner    1        1             1   \n",
       "Dessert Parlor      Mr Gola                1        1             1   \n",
       "Casual Dining       Parijatha Paradise     1        1             1   \n",
       "                    Parijatha Fish Land    1        1             1   \n",
       "Delivery            SaJuSo                 1        1             1   \n",
       "\n",
       "                                         book_table  rate  votes  phone  \\\n",
       "rest_type           name                                                  \n",
       "Cafe                Cafe Coffee Day              89    89     89     86   \n",
       "Casual Dining, Cafe Onesta                       85    85     85     85   \n",
       "Quick Bites         Five Star Chicken            67    67     67     62   \n",
       "                    Domino's Pizza               60    60     60     60   \n",
       "                    McDonald's                   59    59     59     59   \n",
       "...                                             ...   ...    ...    ...   \n",
       "                    New Students Corner           1     1      1      1   \n",
       "Dessert Parlor      Mr Gola                       1     1      1      1   \n",
       "Casual Dining       Parijatha Paradise            1     1      1      1   \n",
       "                    Parijatha Fish Land           1     1      1      1   \n",
       "Delivery            SaJuSo                        1     1      1      1   \n",
       "\n",
       "                                         location  dish_liked  cuisines  \\\n",
       "rest_type           name                                                  \n",
       "Cafe                Cafe Coffee Day            89          31        89   \n",
       "Casual Dining, Cafe Onesta                     85          85        85   \n",
       "Quick Bites         Five Star Chicken          67          10        67   \n",
       "                    Domino's Pizza             60          55        60   \n",
       "                    McDonald's                 59          57        59   \n",
       "...                                           ...         ...       ...   \n",
       "                    New Students Corner         1           0         1   \n",
       "Dessert Parlor      Mr Gola                     1           0         1   \n",
       "Casual Dining       Parijatha Paradise          1           0         1   \n",
       "                    Parijatha Fish Land         1           0         1   \n",
       "Delivery            SaJuSo                      1           0         1   \n",
       "\n",
       "                                         approx_cost(for two people)  \\\n",
       "rest_type           name                                               \n",
       "Cafe                Cafe Coffee Day                               89   \n",
       "Casual Dining, Cafe Onesta                                        85   \n",
       "Quick Bites         Five Star Chicken                             67   \n",
       "                    Domino's Pizza                                60   \n",
       "                    McDonald's                                    59   \n",
       "...                                                              ...   \n",
       "                    New Students Corner                            1   \n",
       "Dessert Parlor      Mr Gola                                        1   \n",
       "Casual Dining       Parijatha Paradise                             1   \n",
       "                    Parijatha Fish Land                            1   \n",
       "Delivery            SaJuSo                                         1   \n",
       "\n",
       "                                         reviews_list  menu_item  \\\n",
       "rest_type           name                                           \n",
       "Cafe                Cafe Coffee Day                89         89   \n",
       "Casual Dining, Cafe Onesta                         85         85   \n",
       "Quick Bites         Five Star Chicken              67         67   \n",
       "                    Domino's Pizza                 60         60   \n",
       "                    McDonald's                     59         59   \n",
       "...                                               ...        ...   \n",
       "                    New Students Corner             1          1   \n",
       "Dessert Parlor      Mr Gola                         1          1   \n",
       "Casual Dining       Parijatha Paradise              1          1   \n",
       "                    Parijatha Fish Land             1          1   \n",
       "Delivery            SaJuSo                          1          1   \n",
       "\n",
       "                                         listed_in(type)  listed_in(city)  \n",
       "rest_type           name                                                   \n",
       "Cafe                Cafe Coffee Day                   89               89  \n",
       "Casual Dining, Cafe Onesta                            85               85  \n",
       "Quick Bites         Five Star Chicken                 67               67  \n",
       "                    Domino's Pizza                    60               60  \n",
       "                    McDonald's                        59               59  \n",
       "...                                                  ...              ...  \n",
       "                    New Students Corner                1                1  \n",
       "Dessert Parlor      Mr Gola                            1                1  \n",
       "Casual Dining       Parijatha Paradise                 1                1  \n",
       "                    Parijatha Fish Land                1                1  \n",
       "Delivery            SaJuSo                             1                1  \n",
       "\n",
       "[7712 rows x 15 columns]"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_1.sort_values(['url'],ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>address</th>\n",
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       "      <th>rate</th>\n",
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       "      <th>rest_type</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Bakery</th>\n",
       "      <th>Just Bake</th>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>14</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Warm Oven</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INDULGE by InnerChef</th>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Karachi Bakery</th>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>24</td>\n",
       "      <td>26</td>\n",
       "      <td>3</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CakeZone</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">86</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Takeaway, Delivery</th>\n",
       "      <th>Agraharam Meal</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>Adyar Ananda Bhavan Sweets</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Faasos</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>@North Parontha Hut</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lucky Singh &amp; Co</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7712 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  url  address  online_order  \\\n",
       "   rest_type          name                                                     \n",
       "0  Bakery             Just Bake                    44       44            44   \n",
       "                      Warm Oven                    28       28            28   \n",
       "                      INDULGE by InnerChef         28       28            28   \n",
       "                      Karachi Bakery               26       26            26   \n",
       "                      CakeZone                     21       21            21   \n",
       "...                                               ...      ...           ...   \n",
       "86 Takeaway, Delivery Agraharam Meal                1        1             1   \n",
       "                      Adyar Ananda Bhavan Sweets    1        1             1   \n",
       "                      Faasos                        1        1             1   \n",
       "                      @North Parontha Hut           1        1             1   \n",
       "                      Lucky Singh & Co              1        1             1   \n",
       "\n",
       "                                                  book_table  rate  votes  \\\n",
       "   rest_type          name                                                  \n",
       "0  Bakery             Just Bake                           44    44     44   \n",
       "                      Warm Oven                           28    28     28   \n",
       "                      INDULGE by InnerChef                28    28     28   \n",
       "                      Karachi Bakery                      26    26     26   \n",
       "                      CakeZone                            21    21     21   \n",
       "...                                                      ...   ...    ...   \n",
       "86 Takeaway, Delivery Agraharam Meal                       1     1      1   \n",
       "                      Adyar Ananda Bhavan Sweets           1     1      1   \n",
       "                      Faasos                               1     1      1   \n",
       "                      @North Parontha Hut                  1     1      1   \n",
       "                      Lucky Singh & Co                     1     1      1   \n",
       "\n",
       "                                                  phone  location  dish_liked  \\\n",
       "   rest_type          name                                                      \n",
       "0  Bakery             Just Bake                      44        44          14   \n",
       "                      Warm Oven                      28        28           7   \n",
       "                      INDULGE by InnerChef           28        28           0   \n",
       "                      Karachi Bakery                 24        26           3   \n",
       "                      CakeZone                       21        21          10   \n",
       "...                                                 ...       ...         ...   \n",
       "86 Takeaway, Delivery Agraharam Meal                  1         1           1   \n",
       "                      Adyar Ananda Bhavan Sweets      1         1           0   \n",
       "                      Faasos                          1         1           1   \n",
       "                      @North Parontha Hut             1         1           0   \n",
       "                      Lucky Singh & Co                1         1           1   \n",
       "\n",
       "                                                  cuisines  \\\n",
       "   rest_type          name                                   \n",
       "0  Bakery             Just Bake                         44   \n",
       "                      Warm Oven                         28   \n",
       "                      INDULGE by InnerChef              28   \n",
       "                      Karachi Bakery                    26   \n",
       "                      CakeZone                          21   \n",
       "...                                                    ...   \n",
       "86 Takeaway, Delivery Agraharam Meal                     1   \n",
       "                      Adyar Ananda Bhavan Sweets         1   \n",
       "                      Faasos                             1   \n",
       "                      @North Parontha Hut                1   \n",
       "                      Lucky Singh & Co                   1   \n",
       "\n",
       "                                                  approx_cost(for two people)  \\\n",
       "   rest_type          name                                                      \n",
       "0  Bakery             Just Bake                                            44   \n",
       "                      Warm Oven                                            28   \n",
       "                      INDULGE by InnerChef                                 28   \n",
       "                      Karachi Bakery                                       26   \n",
       "                      CakeZone                                             21   \n",
       "...                                                                       ...   \n",
       "86 Takeaway, Delivery Agraharam Meal                                        1   \n",
       "                      Adyar Ananda Bhavan Sweets                            1   \n",
       "                      Faasos                                                1   \n",
       "                      @North Parontha Hut                                   1   \n",
       "                      Lucky Singh & Co                                      1   \n",
       "\n",
       "                                                  reviews_list  menu_item  \\\n",
       "   rest_type          name                                                  \n",
       "0  Bakery             Just Bake                             44         44   \n",
       "                      Warm Oven                             28         28   \n",
       "                      INDULGE by InnerChef                  28         28   \n",
       "                      Karachi Bakery                        26         26   \n",
       "                      CakeZone                              21         21   \n",
       "...                                                        ...        ...   \n",
       "86 Takeaway, Delivery Agraharam Meal                         1          1   \n",
       "                      Adyar Ananda Bhavan Sweets             1          1   \n",
       "                      Faasos                                 1          1   \n",
       "                      @North Parontha Hut                    1          1   \n",
       "                      Lucky Singh & Co                       1          1   \n",
       "\n",
       "                                                  listed_in(type)  \\\n",
       "   rest_type          name                                          \n",
       "0  Bakery             Just Bake                                44   \n",
       "                      Warm Oven                                28   \n",
       "                      INDULGE by InnerChef                     28   \n",
       "                      Karachi Bakery                           26   \n",
       "                      CakeZone                                 21   \n",
       "...                                                           ...   \n",
       "86 Takeaway, Delivery Agraharam Meal                            1   \n",
       "                      Adyar Ananda Bhavan Sweets                1   \n",
       "                      Faasos                                    1   \n",
       "                      @North Parontha Hut                       1   \n",
       "                      Lucky Singh & Co                          1   \n",
       "\n",
       "                                                  listed_in(city)  \n",
       "   rest_type          name                                         \n",
       "0  Bakery             Just Bake                                44  \n",
       "                      Warm Oven                                28  \n",
       "                      INDULGE by InnerChef                     28  \n",
       "                      Karachi Bakery                           26  \n",
       "                      CakeZone                                 21  \n",
       "...                                                           ...  \n",
       "86 Takeaway, Delivery Agraharam Meal                            1  \n",
       "                      Adyar Ananda Bhavan Sweets                1  \n",
       "                      Faasos                                    1  \n",
       "                      @North Parontha Hut                       1  \n",
       "                      Lucky Singh & Co                          1  \n",
       "\n",
       "[7712 rows x 15 columns]"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_1.sort_values(['url'],ascending=False).groupby(['rest_type'],as_index=False).apply(lambda x : x.sort_values(by=\"url\",ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "    rest_type           name                      \n",
       "0   Bakery              Just Bake                     44\n",
       "                        Warm Oven                     28\n",
       "                        INDULGE by InnerChef          28\n",
       "                        Karachi Bakery                26\n",
       "                        CakeZone                      21\n",
       "                                                      ..\n",
       "86  Takeaway, Delivery  Agraharam Meal                 1\n",
       "                        Adyar Ananda Bhavan Sweets     1\n",
       "                        Faasos                         1\n",
       "                        @North Parontha Hut            1\n",
       "                        Lucky Singh & Co               1\n",
       "Name: url, Length: 7712, dtype: int64"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_1.sort_values(['url'],ascending=False).groupby(['rest_type'],as_index=False).apply(lambda x : x.sort_values(by=\"url\",ascending=False))['url']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\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>level_0</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>name</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Just Bake</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Warm Oven</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>INDULGE by InnerChef</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Karachi Bakery</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>CakeZone</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7707</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>Agraharam Meal</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7708</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>Adyar Ananda Bhavan Sweets</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7709</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>Faasos</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7710</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>@North Parontha Hut</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7711</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>Lucky Singh &amp; Co</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7712 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      level_0           rest_type                        name  url\n",
       "0           0              Bakery                   Just Bake   44\n",
       "1           0              Bakery                   Warm Oven   28\n",
       "2           0              Bakery        INDULGE by InnerChef   28\n",
       "3           0              Bakery              Karachi Bakery   26\n",
       "4           0              Bakery                    CakeZone   21\n",
       "...       ...                 ...                         ...  ...\n",
       "7707       86  Takeaway, Delivery              Agraharam Meal    1\n",
       "7708       86  Takeaway, Delivery  Adyar Ananda Bhavan Sweets    1\n",
       "7709       86  Takeaway, Delivery                      Faasos    1\n",
       "7710       86  Takeaway, Delivery         @North Parontha Hut    1\n",
       "7711       86  Takeaway, Delivery            Lucky Singh & Co    1\n",
       "\n",
       "[7712 rows x 4 columns]"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_1.sort_values(['url'],ascending=False).groupby(['rest_type'],as_index=False).apply(lambda x : x.sort_values(by=\"url\",ascending=False))['url'].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=df_1.sort_values(['url'],ascending=False).groupby(['rest_type'],\n",
    "                as_index=False).apply(lambda x : x.sort_values(by=\"url\",ascending=False))['url'].reset_index().rename(columns={'url':'count'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>level_0</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>name</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Just Bake</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Warm Oven</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>INDULGE by InnerChef</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Karachi Bakery</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>CakeZone</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7707</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>Agraharam Meal</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7708</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>Adyar Ananda Bhavan Sweets</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7709</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>Faasos</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7710</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>@North Parontha Hut</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7711</th>\n",
       "      <td>86</td>\n",
       "      <td>Takeaway, Delivery</td>\n",
       "      <td>Lucky Singh &amp; Co</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7712 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      level_0           rest_type                        name  count\n",
       "0           0              Bakery                   Just Bake     44\n",
       "1           0              Bakery                   Warm Oven     28\n",
       "2           0              Bakery        INDULGE by InnerChef     28\n",
       "3           0              Bakery              Karachi Bakery     26\n",
       "4           0              Bakery                    CakeZone     21\n",
       "...       ...                 ...                         ...    ...\n",
       "7707       86  Takeaway, Delivery              Agraharam Meal      1\n",
       "7708       86  Takeaway, Delivery  Adyar Ananda Bhavan Sweets      1\n",
       "7709       86  Takeaway, Delivery                      Faasos      1\n",
       "7710       86  Takeaway, Delivery         @North Parontha Hut      1\n",
       "7711       86  Takeaway, Delivery            Lucky Singh & Co      1\n",
       "\n",
       "[7712 rows x 4 columns]"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Which are the most popular casual dining restaurant chains?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
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       "        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>level_0</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>name</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Empire Restaurant</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Beijing Bites</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Mani's Dum Biryani</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Chung Wah</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Oye Amritsar</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2635</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Uppercut - Sheraton Grand Bengaluru Whitefield...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2636</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Utsav Restaurant</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2637</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>VMS Star Biriyani</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2638</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Veruthe Oru Thattukada</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2639</th>\n",
       "      <td>24</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Parijatha Fish Land</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1639 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      level_0      rest_type  \\\n",
       "1001       24  Casual Dining   \n",
       "1002       24  Casual Dining   \n",
       "1003       24  Casual Dining   \n",
       "1004       24  Casual Dining   \n",
       "1005       24  Casual Dining   \n",
       "...       ...            ...   \n",
       "2635       24  Casual Dining   \n",
       "2636       24  Casual Dining   \n",
       "2637       24  Casual Dining   \n",
       "2638       24  Casual Dining   \n",
       "2639       24  Casual Dining   \n",
       "\n",
       "                                                   name  count  \n",
       "1001                                  Empire Restaurant     58  \n",
       "1002                                      Beijing Bites     48  \n",
       "1003                                 Mani's Dum Biryani     47  \n",
       "1004                                          Chung Wah     46  \n",
       "1005                                       Oye Amritsar     41  \n",
       "...                                                 ...    ...  \n",
       "2635  Uppercut - Sheraton Grand Bengaluru Whitefield...      1  \n",
       "2636                                   Utsav Restaurant      1  \n",
       "2637                                  VMS Star Biriyani      1  \n",
       "2638                             Veruthe Oru Thattukada      1  \n",
       "2639                                Parijatha Fish Land      1  \n",
       "\n",
       "[1639 rows x 4 columns]"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "casual=dataset[dataset['rest_type']=='Casual Dining']\n",
    "casual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(43690, 17)"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see tht Empire restaurant,Beijing bites and Mani's dum biriyani are the most popular casual dining restaurant chains in Bangalore.\n",
    "We will inspect them further..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Where are their outlets located?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wordcloud of dishes liked by cuisines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: wordcloud in c:\\users\\mcr\\anaconda3\\lib\\site-packages (1.8.0)\n",
      "Requirement already satisfied: numpy>=1.6.1 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from wordcloud) (1.18.1)\n",
      "Requirement already satisfied: matplotlib in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from wordcloud) (3.2.2)\n",
      "Requirement already satisfied: pillow in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from wordcloud) (6.2.0)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (2.8.1)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (1.1.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (2.4.6)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from matplotlib->wordcloud) (0.10.0)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from python-dateutil>=2.1->matplotlib->wordcloud) (1.14.0)\n",
      "Requirement already satisfied: setuptools in c:\\users\\mcr\\anaconda3\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib->wordcloud) (49.6.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>url</th>\n",
       "      <th>address</th>\n",
       "      <th>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.zomato.com/bangalore/jalsa-banasha...</td>\n",
       "      <td>942, 21st Main Road, 2nd Stage, Banashankari, ...</td>\n",
       "      <td>Jalsa</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1</td>\n",
       "      <td>775</td>\n",
       "      <td>080 42297555\\r\\n+91 9743772233</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Pasta, Lunch Buffet, Masala Papad, Paneer Laja...</td>\n",
       "      <td>North Indian, Mughlai, Chinese</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  A beautiful place to ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.zomato.com/bangalore/spice-elephan...</td>\n",
       "      <td>2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...</td>\n",
       "      <td>Spice Elephant</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1</td>\n",
       "      <td>787</td>\n",
       "      <td>080 41714161</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Momos, Lunch Buffet, Chocolate Nirvana, Thai G...</td>\n",
       "      <td>Chinese, North Indian, Thai</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Had been here for din...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.zomato.com/SanchurroBangalore?cont...</td>\n",
       "      <td>1112, Next to KIMS Medical College, 17th Cross...</td>\n",
       "      <td>San Churro Cafe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>918</td>\n",
       "      <td>+91 9663487993</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Cafe, Casual Dining</td>\n",
       "      <td>Churros, Cannelloni, Minestrone Soup, Hot Choc...</td>\n",
       "      <td>Cafe, Mexican, Italian</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 3.0', \"RATED\\n  Ambience is not that ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.zomato.com/bangalore/addhuri-udupi...</td>\n",
       "      <td>1st Floor, Annakuteera, 3rd Stage, Banashankar...</td>\n",
       "      <td>Addhuri Udupi Bhojana</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>88</td>\n",
       "      <td>+91 9620009302</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>Masala Dosa</td>\n",
       "      <td>South Indian, North Indian</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Great food and proper...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.zomato.com/bangalore/grand-village...</td>\n",
       "      <td>10, 3rd Floor, Lakshmi Associates, Gandhi Baza...</td>\n",
       "      <td>Grand Village</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>166</td>\n",
       "      <td>+91 8026612447\\r\\n+91 9901210005</td>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Panipuri, Gol Gappe</td>\n",
       "      <td>North Indian, Rajasthani</td>\n",
       "      <td>600</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Very good restaurant ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url  \\\n",
       "0  https://www.zomato.com/bangalore/jalsa-banasha...   \n",
       "1  https://www.zomato.com/bangalore/spice-elephan...   \n",
       "2  https://www.zomato.com/SanchurroBangalore?cont...   \n",
       "3  https://www.zomato.com/bangalore/addhuri-udupi...   \n",
       "4  https://www.zomato.com/bangalore/grand-village...   \n",
       "\n",
       "                                             address                   name  \\\n",
       "0  942, 21st Main Road, 2nd Stage, Banashankari, ...                  Jalsa   \n",
       "1  2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...         Spice Elephant   \n",
       "2  1112, Next to KIMS Medical College, 17th Cross...        San Churro Cafe   \n",
       "3  1st Floor, Annakuteera, 3rd Stage, Banashankar...  Addhuri Udupi Bhojana   \n",
       "4  10, 3rd Floor, Lakshmi Associates, Gandhi Baza...          Grand Village   \n",
       "\n",
       "  online_order book_table  rate  votes                             phone  \\\n",
       "0          Yes        Yes   4.1    775    080 42297555\\r\\n+91 9743772233   \n",
       "1          Yes         No   4.1    787                      080 41714161   \n",
       "2          Yes         No   3.8    918                    +91 9663487993   \n",
       "3           No         No   3.7     88                    +91 9620009302   \n",
       "4           No         No   3.8    166  +91 8026612447\\r\\n+91 9901210005   \n",
       "\n",
       "       location            rest_type  \\\n",
       "0  Banashankari        Casual Dining   \n",
       "1  Banashankari        Casual Dining   \n",
       "2  Banashankari  Cafe, Casual Dining   \n",
       "3  Banashankari          Quick Bites   \n",
       "4  Basavanagudi        Casual Dining   \n",
       "\n",
       "                                          dish_liked  \\\n",
       "0  Pasta, Lunch Buffet, Masala Papad, Paneer Laja...   \n",
       "1  Momos, Lunch Buffet, Chocolate Nirvana, Thai G...   \n",
       "2  Churros, Cannelloni, Minestrone Soup, Hot Choc...   \n",
       "3                                        Masala Dosa   \n",
       "4                                Panipuri, Gol Gappe   \n",
       "\n",
       "                         cuisines  approx_cost(for two people)  \\\n",
       "0  North Indian, Mughlai, Chinese                          800   \n",
       "1     Chinese, North Indian, Thai                          800   \n",
       "2          Cafe, Mexican, Italian                          800   \n",
       "3      South Indian, North Indian                          300   \n",
       "4        North Indian, Rajasthani                          600   \n",
       "\n",
       "                                        reviews_list menu_item  \\\n",
       "0  [('Rated 4.0', 'RATED\\n  A beautiful place to ...        []   \n",
       "1  [('Rated 4.0', 'RATED\\n  Had been here for din...        []   \n",
       "2  [('Rated 3.0', \"RATED\\n  Ambience is not that ...        []   \n",
       "3  [('Rated 4.0', \"RATED\\n  Great food and proper...        []   \n",
       "4  [('Rated 4.0', 'RATED\\n  Very good restaurant ...        []   \n",
       "\n",
       "  listed_in(type) listed_in(city)  \n",
       "0          Buffet    Banashankari  \n",
       "1          Buffet    Banashankari  \n",
       "2          Buffet    Banashankari  \n",
       "3          Buffet    Banashankari  \n",
       "4          Buffet    Banashankari  "
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['update_dish_liked']=df['dish_liked'].apply(lambda x : x.split(',') if type(x)==str else [''])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "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>url</th>\n",
       "      <th>address</th>\n",
       "      <th>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "      <th>update_dish_liked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.zomato.com/bangalore/jalsa-banasha...</td>\n",
       "      <td>942, 21st Main Road, 2nd Stage, Banashankari, ...</td>\n",
       "      <td>Jalsa</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1</td>\n",
       "      <td>775</td>\n",
       "      <td>080 42297555\\r\\n+91 9743772233</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Pasta, Lunch Buffet, Masala Papad, Paneer Laja...</td>\n",
       "      <td>North Indian, Mughlai, Chinese</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  A beautiful place to ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Pasta,  Lunch Buffet,  Masala Papad,  Paneer ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.zomato.com/bangalore/spice-elephan...</td>\n",
       "      <td>2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...</td>\n",
       "      <td>Spice Elephant</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1</td>\n",
       "      <td>787</td>\n",
       "      <td>080 41714161</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Momos, Lunch Buffet, Chocolate Nirvana, Thai G...</td>\n",
       "      <td>Chinese, North Indian, Thai</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Had been here for din...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Momos,  Lunch Buffet,  Chocolate Nirvana,  Th...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.zomato.com/SanchurroBangalore?cont...</td>\n",
       "      <td>1112, Next to KIMS Medical College, 17th Cross...</td>\n",
       "      <td>San Churro Cafe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>918</td>\n",
       "      <td>+91 9663487993</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Cafe, Casual Dining</td>\n",
       "      <td>Churros, Cannelloni, Minestrone Soup, Hot Choc...</td>\n",
       "      <td>Cafe, Mexican, Italian</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 3.0', \"RATED\\n  Ambience is not that ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Churros,  Cannelloni,  Minestrone Soup,  Hot ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.zomato.com/bangalore/addhuri-udupi...</td>\n",
       "      <td>1st Floor, Annakuteera, 3rd Stage, Banashankar...</td>\n",
       "      <td>Addhuri Udupi Bhojana</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>88</td>\n",
       "      <td>+91 9620009302</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>Masala Dosa</td>\n",
       "      <td>South Indian, North Indian</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Great food and proper...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Masala Dosa]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.zomato.com/bangalore/grand-village...</td>\n",
       "      <td>10, 3rd Floor, Lakshmi Associates, Gandhi Baza...</td>\n",
       "      <td>Grand Village</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>166</td>\n",
       "      <td>+91 8026612447\\r\\n+91 9901210005</td>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Panipuri, Gol Gappe</td>\n",
       "      <td>North Indian, Rajasthani</td>\n",
       "      <td>600</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Very good restaurant ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Panipuri,  Gol Gappe]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url  \\\n",
       "0  https://www.zomato.com/bangalore/jalsa-banasha...   \n",
       "1  https://www.zomato.com/bangalore/spice-elephan...   \n",
       "2  https://www.zomato.com/SanchurroBangalore?cont...   \n",
       "3  https://www.zomato.com/bangalore/addhuri-udupi...   \n",
       "4  https://www.zomato.com/bangalore/grand-village...   \n",
       "\n",
       "                                             address                   name  \\\n",
       "0  942, 21st Main Road, 2nd Stage, Banashankari, ...                  Jalsa   \n",
       "1  2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...         Spice Elephant   \n",
       "2  1112, Next to KIMS Medical College, 17th Cross...        San Churro Cafe   \n",
       "3  1st Floor, Annakuteera, 3rd Stage, Banashankar...  Addhuri Udupi Bhojana   \n",
       "4  10, 3rd Floor, Lakshmi Associates, Gandhi Baza...          Grand Village   \n",
       "\n",
       "  online_order book_table  rate  votes                             phone  \\\n",
       "0          Yes        Yes   4.1    775    080 42297555\\r\\n+91 9743772233   \n",
       "1          Yes         No   4.1    787                      080 41714161   \n",
       "2          Yes         No   3.8    918                    +91 9663487993   \n",
       "3           No         No   3.7     88                    +91 9620009302   \n",
       "4           No         No   3.8    166  +91 8026612447\\r\\n+91 9901210005   \n",
       "\n",
       "       location            rest_type  \\\n",
       "0  Banashankari        Casual Dining   \n",
       "1  Banashankari        Casual Dining   \n",
       "2  Banashankari  Cafe, Casual Dining   \n",
       "3  Banashankari          Quick Bites   \n",
       "4  Basavanagudi        Casual Dining   \n",
       "\n",
       "                                          dish_liked  \\\n",
       "0  Pasta, Lunch Buffet, Masala Papad, Paneer Laja...   \n",
       "1  Momos, Lunch Buffet, Chocolate Nirvana, Thai G...   \n",
       "2  Churros, Cannelloni, Minestrone Soup, Hot Choc...   \n",
       "3                                        Masala Dosa   \n",
       "4                                Panipuri, Gol Gappe   \n",
       "\n",
       "                         cuisines  approx_cost(for two people)  \\\n",
       "0  North Indian, Mughlai, Chinese                          800   \n",
       "1     Chinese, North Indian, Thai                          800   \n",
       "2          Cafe, Mexican, Italian                          800   \n",
       "3      South Indian, North Indian                          300   \n",
       "4        North Indian, Rajasthani                          600   \n",
       "\n",
       "                                        reviews_list menu_item  \\\n",
       "0  [('Rated 4.0', 'RATED\\n  A beautiful place to ...        []   \n",
       "1  [('Rated 4.0', 'RATED\\n  Had been here for din...        []   \n",
       "2  [('Rated 3.0', \"RATED\\n  Ambience is not that ...        []   \n",
       "3  [('Rated 4.0', \"RATED\\n  Great food and proper...        []   \n",
       "4  [('Rated 4.0', 'RATED\\n  Very good restaurant ...        []   \n",
       "\n",
       "  listed_in(type) listed_in(city)  \\\n",
       "0          Buffet    Banashankari   \n",
       "1          Buffet    Banashankari   \n",
       "2          Buffet    Banashankari   \n",
       "3          Buffet    Banashankari   \n",
       "4          Buffet    Banashankari   \n",
       "\n",
       "                                   update_dish_liked  \n",
       "0  [Pasta,  Lunch Buffet,  Masala Papad,  Paneer ...  \n",
       "1  [Momos,  Lunch Buffet,  Chocolate Nirvana,  Th...  \n",
       "2  [Churros,  Cannelloni,  Minestrone Soup,  Hot ...  \n",
       "3                                      [Masala Dosa]  \n",
       "4                             [Panipuri,  Gol Gappe]  "
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Quick Bites', 'Casual Dining', 'Cafe', 'Dessert Parlor', 'Delivery',\n",
       "       'Takeaway, Delivery', 'Casual Dining, Bar', 'Bakery', 'Beverage Shop'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['rest_type'].value_counts()[:9].index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "rest=df['rest_type'].value_counts()[:9].index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### create wordcloud for each and every restaurant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud, STOPWORDS "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "url                                0\n",
       "address                            0\n",
       "name                               0\n",
       "online_order                       0\n",
       "book_table                         0\n",
       "rate                               0\n",
       "votes                              0\n",
       "phone                            591\n",
       "location                           0\n",
       "rest_type                        149\n",
       "dish_liked                     20216\n",
       "cuisines                           8\n",
       "approx_cost(for two people)        0\n",
       "reviews_list                       0\n",
       "menu_item                          0\n",
       "listed_in(type)                    0\n",
       "listed_in(city)                    0\n",
       "update_dish_liked                  0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(axis='index',subset=['rest_type'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(axis='index',subset=['dish_liked'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "url                              0\n",
       "address                          0\n",
       "name                             0\n",
       "online_order                     0\n",
       "book_table                       0\n",
       "rate                             0\n",
       "votes                            0\n",
       "phone                          213\n",
       "location                         0\n",
       "rest_type                        0\n",
       "dish_liked                       0\n",
       "cuisines                         0\n",
       "approx_cost(for two people)      0\n",
       "reviews_list                     0\n",
       "menu_item                        0\n",
       "listed_in(type)                  0\n",
       "listed_in(city)                  0\n",
       "update_dish_liked                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### wordcloud for 1 restaurant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=df[df['rest_type']=='Quick Bites']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3                                              Masala Dosa\n",
       "31       Burgers, Lassi, Chicken Grill, Naan, Momos, Ch...\n",
       "34       Rolls, Veggie Wrap, Chocolate Fantasy, Rice Bo...\n",
       "40       Dabeli, Faluda, Masala Poori, Sandwiches, Tokr...\n",
       "42                           Burgers, Fries, Hot Chocolate\n",
       "                               ...                        \n",
       "51598                          Potato Fries, Chicken Curry\n",
       "51601    Rolls, Chicken Tikka Roll, Chicken Bhuna Roll,...\n",
       "51617                               Coffee, Vada, Mla Dosa\n",
       "51629                             Fish, Veg Thali, Biryani\n",
       "51645                                              Burgers\n",
       "Name: dish_liked, Length: 5269, dtype: object"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['dish_liked']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [],
   "source": [
    "stopwords=set(STOPWORDS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 1499.5, 1499.5, -0.5)"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dishes=''\n",
    "for word in data['dish_liked']:\n",
    "    words=word.split()\n",
    "    # Converts each token into lowercase \n",
    "    for i in range(len(words)): \n",
    "        words[i] = words[i].lower() \n",
    "    dishes=dishes+ \" \".join(words)+\" \"\n",
    "wordcloud = WordCloud(max_font_size=None, background_color='white', collocations=False,stopwords = stopwords,width=1500, height=1500).generate(dishes)\n",
    "plt.imshow(wordcloud)\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [],
   "source": [
    "def produce_wordcloud(rest):\n",
    "    \n",
    "    plt.figure(figsize=(20,30))\n",
    "    for i,restaurant in enumerate(rest):\n",
    "        plt.subplot(3,3,i+1)\n",
    "        dishes=''\n",
    "        data=df[df['rest_type']==restaurant]\n",
    "        for word in data['dish_liked']:\n",
    "            words=word.split()\n",
    "            # Converts each token into lowercase \n",
    "            for i in range(len(words)): \n",
    "                words[i] = words[i].lower() \n",
    "            dishes=dishes+ \" \".join(words)+\" \"\n",
    "        wordcloud = WordCloud(max_font_size=None, background_color='white', collocations=False,stopwords = stopwords,width=1500, height=1500).generate(dishes)\n",
    "        plt.imshow(wordcloud)\n",
    "        plt.title(restaurant)\n",
    "        plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x2160 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stopwords = set(STOPWORDS) \n",
    "produce_wordcloud(rest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### analysing Reviews of Particular Restaurant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "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>url</th>\n",
       "      <th>address</th>\n",
       "      <th>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>phone</th>\n",
       "      <th>location</th>\n",
       "      <th>rest_type</th>\n",
       "      <th>dish_liked</th>\n",
       "      <th>cuisines</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>reviews_list</th>\n",
       "      <th>menu_item</th>\n",
       "      <th>listed_in(type)</th>\n",
       "      <th>listed_in(city)</th>\n",
       "      <th>update_dish_liked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.zomato.com/bangalore/jalsa-banasha...</td>\n",
       "      <td>942, 21st Main Road, 2nd Stage, Banashankari, ...</td>\n",
       "      <td>Jalsa</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1</td>\n",
       "      <td>775</td>\n",
       "      <td>080 42297555\\r\\n+91 9743772233</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Pasta, Lunch Buffet, Masala Papad, Paneer Laja...</td>\n",
       "      <td>North Indian, Mughlai, Chinese</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  A beautiful place to ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Pasta,  Lunch Buffet,  Masala Papad,  Paneer ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.zomato.com/bangalore/spice-elephan...</td>\n",
       "      <td>2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...</td>\n",
       "      <td>Spice Elephant</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1</td>\n",
       "      <td>787</td>\n",
       "      <td>080 41714161</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Momos, Lunch Buffet, Chocolate Nirvana, Thai G...</td>\n",
       "      <td>Chinese, North Indian, Thai</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Had been here for din...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Momos,  Lunch Buffet,  Chocolate Nirvana,  Th...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.zomato.com/SanchurroBangalore?cont...</td>\n",
       "      <td>1112, Next to KIMS Medical College, 17th Cross...</td>\n",
       "      <td>San Churro Cafe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>918</td>\n",
       "      <td>+91 9663487993</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Cafe, Casual Dining</td>\n",
       "      <td>Churros, Cannelloni, Minestrone Soup, Hot Choc...</td>\n",
       "      <td>Cafe, Mexican, Italian</td>\n",
       "      <td>800</td>\n",
       "      <td>[('Rated 3.0', \"RATED\\n  Ambience is not that ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Churros,  Cannelloni,  Minestrone Soup,  Hot ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.zomato.com/bangalore/addhuri-udupi...</td>\n",
       "      <td>1st Floor, Annakuteera, 3rd Stage, Banashankar...</td>\n",
       "      <td>Addhuri Udupi Bhojana</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>88</td>\n",
       "      <td>+91 9620009302</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>Quick Bites</td>\n",
       "      <td>Masala Dosa</td>\n",
       "      <td>South Indian, North Indian</td>\n",
       "      <td>300</td>\n",
       "      <td>[('Rated 4.0', \"RATED\\n  Great food and proper...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Masala Dosa]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.zomato.com/bangalore/grand-village...</td>\n",
       "      <td>10, 3rd Floor, Lakshmi Associates, Gandhi Baza...</td>\n",
       "      <td>Grand Village</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>166</td>\n",
       "      <td>+91 8026612447\\r\\n+91 9901210005</td>\n",
       "      <td>Basavanagudi</td>\n",
       "      <td>Casual Dining</td>\n",
       "      <td>Panipuri, Gol Gappe</td>\n",
       "      <td>North Indian, Rajasthani</td>\n",
       "      <td>600</td>\n",
       "      <td>[('Rated 4.0', 'RATED\\n  Very good restaurant ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>Buffet</td>\n",
       "      <td>Banashankari</td>\n",
       "      <td>[Panipuri,  Gol Gappe]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 url  \\\n",
       "0  https://www.zomato.com/bangalore/jalsa-banasha...   \n",
       "1  https://www.zomato.com/bangalore/spice-elephan...   \n",
       "2  https://www.zomato.com/SanchurroBangalore?cont...   \n",
       "3  https://www.zomato.com/bangalore/addhuri-udupi...   \n",
       "4  https://www.zomato.com/bangalore/grand-village...   \n",
       "\n",
       "                                             address                   name  \\\n",
       "0  942, 21st Main Road, 2nd Stage, Banashankari, ...                  Jalsa   \n",
       "1  2nd Floor, 80 Feet Road, Near Big Bazaar, 6th ...         Spice Elephant   \n",
       "2  1112, Next to KIMS Medical College, 17th Cross...        San Churro Cafe   \n",
       "3  1st Floor, Annakuteera, 3rd Stage, Banashankar...  Addhuri Udupi Bhojana   \n",
       "4  10, 3rd Floor, Lakshmi Associates, Gandhi Baza...          Grand Village   \n",
       "\n",
       "  online_order book_table  rate  votes                             phone  \\\n",
       "0          Yes        Yes   4.1    775    080 42297555\\r\\n+91 9743772233   \n",
       "1          Yes         No   4.1    787                      080 41714161   \n",
       "2          Yes         No   3.8    918                    +91 9663487993   \n",
       "3           No         No   3.7     88                    +91 9620009302   \n",
       "4           No         No   3.8    166  +91 8026612447\\r\\n+91 9901210005   \n",
       "\n",
       "       location            rest_type  \\\n",
       "0  Banashankari        Casual Dining   \n",
       "1  Banashankari        Casual Dining   \n",
       "2  Banashankari  Cafe, Casual Dining   \n",
       "3  Banashankari          Quick Bites   \n",
       "4  Basavanagudi        Casual Dining   \n",
       "\n",
       "                                          dish_liked  \\\n",
       "0  Pasta, Lunch Buffet, Masala Papad, Paneer Laja...   \n",
       "1  Momos, Lunch Buffet, Chocolate Nirvana, Thai G...   \n",
       "2  Churros, Cannelloni, Minestrone Soup, Hot Choc...   \n",
       "3                                        Masala Dosa   \n",
       "4                                Panipuri, Gol Gappe   \n",
       "\n",
       "                         cuisines  approx_cost(for two people)  \\\n",
       "0  North Indian, Mughlai, Chinese                          800   \n",
       "1     Chinese, North Indian, Thai                          800   \n",
       "2          Cafe, Mexican, Italian                          800   \n",
       "3      South Indian, North Indian                          300   \n",
       "4        North Indian, Rajasthani                          600   \n",
       "\n",
       "                                        reviews_list menu_item  \\\n",
       "0  [('Rated 4.0', 'RATED\\n  A beautiful place to ...        []   \n",
       "1  [('Rated 4.0', 'RATED\\n  Had been here for din...        []   \n",
       "2  [('Rated 3.0', \"RATED\\n  Ambience is not that ...        []   \n",
       "3  [('Rated 4.0', \"RATED\\n  Great food and proper...        []   \n",
       "4  [('Rated 4.0', 'RATED\\n  Very good restaurant ...        []   \n",
       "\n",
       "  listed_in(type) listed_in(city)  \\\n",
       "0          Buffet    Banashankari   \n",
       "1          Buffet    Banashankari   \n",
       "2          Buffet    Banashankari   \n",
       "3          Buffet    Banashankari   \n",
       "4          Buffet    Banashankari   \n",
       "\n",
       "                                   update_dish_liked  \n",
       "0  [Pasta,  Lunch Buffet,  Masala Papad,  Paneer ...  \n",
       "1  [Momos,  Lunch Buffet,  Chocolate Nirvana,  Th...  \n",
       "2  [Churros,  Cannelloni,  Minestrone Soup,  Hot ...  \n",
       "3                                      [Masala Dosa]  \n",
       "4                             [Panipuri,  Gol Gappe]  "
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[(\\'Rated 4.0\\', \\'RATED\\\\n  A beautiful place to dine in.The interiors take you back to the Mughal era. The lightings are just perfect.We went there on the occasion of Christmas and so they had only limited items available. But the taste and service was not compromised at all.The only complaint is that the breads could have been better.Would surely like to come here again.\\'), (\\'Rated 4.0\\', \\'RATED\\\\n  I was here for dinner with my family on a weekday. The restaurant was completely empty. Ambience is good with some good old hindi music. Seating arrangement are good too. We ordered masala papad, panner and baby corn starters, lemon and corrionder soup, butter roti, olive and chilli paratha. Food was fresh and good, service is good too. Good for family hangout.\\\\nCheers\\'), (\\'Rated 2.0\\', \\'RATED\\\\n  Its a restaurant near to Banashankari BDA. Me along with few of my office friends visited to have buffet but unfortunately they only provide veg buffet. On inquiring they said this place is mostly visited by vegetarians. Anyways we ordered ala carte items which took ages to come. Food was ok ok. Definitely not visiting anymore.\\'), (\\'Rated 4.0\\', \\'RATED\\\\n  We went here on a weekend and one of us had the buffet while two of us took Ala Carte. Firstly the ambience and service of this place is great! The buffet had a lot of items and the good was good. We had a Pumpkin Halwa intm the dessert which was amazing. Must try! The kulchas are great here. Cheers!\\'), (\\'Rated 5.0\\', \\'RATED\\\\n  The best thing about the place is itÃ\\x83\\\\x83Ã\\x82\\\\x83Ã\\x83\\\\x82Ã\\x82\\\\x82Ã\\x83\\\\x83Ã\\x82\\\\x82Ã\\x83\\\\x82Ã\\x82\\\\x92s ambiance. Second best thing was yummy ? food. We try buffet and buffet food was not disappointed us.\\\\nTest ?. ?? ?? ?? ?? ??\\\\nQuality ?. ??????????.\\\\nService: Staff was very professional and friendly.\\\\n\\\\nOverall experience was excellent.\\\\n\\\\nsubirmajumder85.wixsite.com\\'), (\\'Rated 5.0\\', \\'RATED\\\\n  Great food and pleasant ambience. Expensive but Coll place to chill and relax......\\\\n\\\\nService is really very very good and friendly staff...\\\\n\\\\nFood : 5/5\\\\nService : 5/5\\\\nAmbience :5/5\\\\nOverall :5/5\\'), (\\'Rated 4.0\\', \\'RATED\\\\n  Good ambience with tasty food.\\\\nCheese chilli paratha with Bhutta palak methi curry is a good combo.\\\\nLemon Chicken in the starters is a must try item.\\\\nEgg fried rice was also quite tasty.\\\\nIn the mocktails, recommend \"Alice in Junoon\". Do not miss it.\\'), (\\'Rated 4.0\\', \\'RATED\\\\n  You canÃ\\x83\\\\x83Ã\\x82\\\\x83Ã\\x83\\\\x82Ã\\x82\\\\x82Ã\\x83\\\\x83Ã\\x82\\\\x82Ã\\x83\\\\x82Ã\\x82\\\\x92t go wrong with Jalsa. Never been a fan of their buffet and thus always order alacarteÃ\\x83\\\\x83Ã\\x82\\\\x83Ã\\x83\\\\x82Ã\\x82\\\\x82Ã\\x83\\\\x83Ã\\x82\\\\x82Ã\\x83\\\\x82Ã\\x82\\\\x92. Service at times can be on the slower side but food is worth the wait.\\'), (\\'Rated 5.0\\', \\'RATED\\\\n  Overdelighted by the service and food provided at this place. A royal and ethnic atmosphere builds a strong essence of being in India and also the quality and taste of food is truly authentic. I would totally recommend to visit this place once.\\'), (\\'Rated 4.0\\', \\'RATED\\\\n  The place is nice and comfortable. Food wise all jalea outlets maintain a good standard. The soya chaap was a standout dish. Clearly one of trademark dish as per me and a must try.\\\\n\\\\nThe only concern is the parking. It very congested and limited to just 5cars. The basement parking is very steep and makes it cumbersome\\'), (\\'Rated 4.0\\', \\'RATED\\\\n  The place is nice and comfortable. Food wise all jalea outlets maintain a good standard. The soya chaap was a standout dish. Clearly one of trademark dish as per me and a must try.\\\\n\\\\nThe only concern is the parking. It very congested and limited to just 5cars. The basement parking is very steep and makes it cumbersome\\'), (\\'Rated 4.0\\', \\'RATED\\\\n  The place is nice and comfortable. Food wise all jalea outlets maintain a good standard. The soya chaap was a standout dish. Clearly one of trademark dish as per me and a must try.\\\\n\\\\nThe only concern is the parking. It very congested and limited to just 5cars. The basement parking is very steep and makes it cumbersome\\')]'"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['reviews_list'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[(\\'rated 4.0\\', \\'rated\\\\n  a beautiful place to dine in.the interiors take you back to the mughal era. the lightings are just perfect.we went there on the occasion of christmas and so they had only limited items available. but the taste and service was not compromised at all.the only complaint is that the breads could have been better.would surely like to come here again.\\'), (\\'rated 4.0\\', \\'rated\\\\n  i was here for dinner with my family on a weekday. the restaurant was completely empty. ambience is good with some good old hindi music. seating arrangement are good too. we ordered masala papad, panner and baby corn starters, lemon and corrionder soup, butter roti, olive and chilli paratha. food was fresh and good, service is good too. good for family hangout.\\\\ncheers\\'), (\\'rated 2.0\\', \\'rated\\\\n  its a restaurant near to banashankari bda. me along with few of my office friends visited to have buffet but unfortunately they only provide veg buffet. on inquiring they said this place is mostly visited by vegetarians. anyways we ordered ala carte items which took ages to come. food was ok ok. definitely not visiting anymore.\\'), (\\'rated 4.0\\', \\'rated\\\\n  we went here on a weekend and one of us had the buffet while two of us took ala carte. firstly the ambience and service of this place is great! the buffet had a lot of items and the good was good. we had a pumpkin halwa intm the dessert which was amazing. must try! the kulchas are great here. cheers!\\'), (\\'rated 5.0\\', \\'rated\\\\n  the best thing about the place is itã\\x83\\\\x83ã\\x82\\\\x83ã\\x83\\\\x82ã\\x82\\\\x82ã\\x83\\\\x83ã\\x82\\\\x82ã\\x83\\\\x82ã\\x82\\\\x92s ambiance. second best thing was yummy ? food. we try buffet and buffet food was not disappointed us.\\\\ntest ?. ?? ?? ?? ?? ??\\\\nquality ?. ??????????.\\\\nservice: staff was very professional and friendly.\\\\n\\\\noverall experience was excellent.\\\\n\\\\nsubirmajumder85.wixsite.com\\'), (\\'rated 5.0\\', \\'rated\\\\n  great food and pleasant ambience. expensive but coll place to chill and relax......\\\\n\\\\nservice is really very very good and friendly staff...\\\\n\\\\nfood : 5/5\\\\nservice : 5/5\\\\nambience :5/5\\\\noverall :5/5\\'), (\\'rated 4.0\\', \\'rated\\\\n  good ambience with tasty food.\\\\ncheese chilli paratha with bhutta palak methi curry is a good combo.\\\\nlemon chicken in the starters is a must try item.\\\\negg fried rice was also quite tasty.\\\\nin the mocktails, recommend \"alice in junoon\". do not miss it.\\'), (\\'rated 4.0\\', \\'rated\\\\n  you canã\\x83\\\\x83ã\\x82\\\\x83ã\\x83\\\\x82ã\\x82\\\\x82ã\\x83\\\\x83ã\\x82\\\\x82ã\\x83\\\\x82ã\\x82\\\\x92t go wrong with jalsa. never been a fan of their buffet and thus always order alacarteã\\x83\\\\x83ã\\x82\\\\x83ã\\x83\\\\x82ã\\x82\\\\x82ã\\x83\\\\x83ã\\x82\\\\x82ã\\x83\\\\x82ã\\x82\\\\x92. service at times can be on the slower side but food is worth the wait.\\'), (\\'rated 5.0\\', \\'rated\\\\n  overdelighted by the service and food provided at this place. a royal and ethnic atmosphere builds a strong essence of being in india and also the quality and taste of food is truly authentic. i would totally recommend to visit this place once.\\'), (\\'rated 4.0\\', \\'rated\\\\n  the place is nice and comfortable. food wise all jalea outlets maintain a good standard. the soya chaap was a standout dish. clearly one of trademark dish as per me and a must try.\\\\n\\\\nthe only concern is the parking. it very congested and limited to just 5cars. the basement parking is very steep and makes it cumbersome\\'), (\\'rated 4.0\\', \\'rated\\\\n  the place is nice and comfortable. food wise all jalea outlets maintain a good standard. the soya chaap was a standout dish. clearly one of trademark dish as per me and a must try.\\\\n\\\\nthe only concern is the parking. it very congested and limited to just 5cars. the basement parking is very steep and makes it cumbersome\\'), (\\'rated 4.0\\', \\'rated\\\\n  the place is nice and comfortable. food wise all jalea outlets maintain a good standard. the soya chaap was a standout dish. clearly one of trademark dish as per me and a must try.\\\\n\\\\nthe only concern is the parking. it very congested and limited to just 5cars. the basement parking is very steep and makes it cumbersome\\')]'"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=df['reviews_list'][0].lower()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'   rated        rated n  a beautiful place to dine in the interiors take you back to the mughal era  the lightings are just perfect we went there on the occasion of christmas and so they had only limited items available  but the taste and service was not compromised at all the only complaint is that the breads could have been better would surely like to come here again       rated        rated n  i was here for dinner with my family on a weekday  the restaurant was completely empty  ambience is good with some good old hindi music  seating arrangement are good too  we ordered masala papad  panner and baby corn starters  lemon and corrionder soup  butter roti  olive and chilli paratha  food was fresh and good  service is good too  good for family hangout  ncheers      rated        rated n  its a restaurant near to banashankari bda  me along with few of my office friends visited to have buffet but unfortunately they only provide veg buffet  on inquiring they said this place is mostly visited by vegetarians  anyways we ordered ala carte items which took ages to come  food was ok ok  definitely not visiting anymore       rated        rated n  we went here on a weekend and one of us had the buffet while two of us took ala carte  firstly the ambience and service of this place is great  the buffet had a lot of items and the good was good  we had a pumpkin halwa intm the dessert which was amazing  must try  the kulchas are great here  cheers       rated        rated n  the best thing about the place is it   x     x     x     x     x     x     x     x  s ambiance  second best thing was yummy   food  we try buffet and buffet food was not disappointed us  ntest                   nquality                nservice  staff was very professional and friendly  n noverall experience was excellent  n nsubirmajumder   wixsite com      rated        rated n  great food and pleasant ambience  expensive but coll place to chill and relax       n nservice is really very very good and friendly staff    n nfood       nservice       nambience      noverall           rated        rated n  good ambience with tasty food  ncheese chilli paratha with bhutta palak methi curry is a good combo  nlemon chicken in the starters is a must try item  negg fried rice was also quite tasty  nin the mocktails  recommend  alice in junoon   do not miss it       rated        rated n  you can   x     x     x     x     x     x     x     x  t go wrong with jalsa  never been a fan of their buffet and thus always order alacarte   x     x     x     x     x     x     x     x    service at times can be on the slower side but food is worth the wait       rated        rated n  overdelighted by the service and food provided at this place  a royal and ethnic atmosphere builds a strong essence of being in india and also the quality and taste of food is truly authentic  i would totally recommend to visit this place once       rated        rated n  the place is nice and comfortable  food wise all jalea outlets maintain a good standard  the soya chaap was a standout dish  clearly one of trademark dish as per me and a must try  n nthe only concern is the parking  it very congested and limited to just  cars  the basement parking is very steep and makes it cumbersome      rated        rated n  the place is nice and comfortable  food wise all jalea outlets maintain a good standard  the soya chaap was a standout dish  clearly one of trademark dish as per me and a must try  n nthe only concern is the parking  it very congested and limited to just  cars  the basement parking is very steep and makes it cumbersome      rated        rated n  the place is nice and comfortable  food wise all jalea outlets maintain a good standard  the soya chaap was a standout dish  clearly one of trademark dish as per me and a must try  n nthe only concern is the parking  it very congested and limited to just  cars  the basement parking is very steep and makes it cumbersome   '"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import re\n",
    "data2=re.sub('[^a-zA-Z]', ' ',data)\n",
    "data2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'              n  a beautiful place to dine in the interiors take you back to the mughal era  the lightings are just perfect we went there on the occasion of christmas and so they had only limited items available  but the taste and service was not compromised at all the only complaint is that the breads could have been better would surely like to come here again                  n  i was here for dinner with my family on a weekday  the restaurant was completely empty  ambience is good with some good old hindi music  seating arrangement are good too  we ordered masala papad  panner and baby corn starters  lemon and corrionder soup  butter roti  olive and chilli paratha  food was fresh and good  service is good too  good for family hangout  ncheers                 n  its a restaurant near to banashankari bda  me along with few of my office friends visited to have buffet but unfortunately they only provide veg buffet  on inquiring they said this place is mostly visited by vegetarians  anyways we ordered ala carte items which took ages to come  food was ok ok  definitely not visiting anymore                  n  we went here on a weekend and one of us had the buffet while two of us took ala carte  firstly the ambience and service of this place is great  the buffet had a lot of items and the good was good  we had a pumpkin halwa intm the dessert which was amazing  must try  the kulchas are great here  cheers                  n  the best thing about the place is it   x     x     x     x     x     x     x     x  s ambiance  second best thing was yummy   food  we try buffet and buffet food was not disappointed us  ntest                   nquality                nservice  staff was very professional and friendly  n noverall experience was excellent  n nsubirmajumder   wixsite com                 n  great food and pleasant ambience  expensive but coll place to chill and relax       n nservice is really very very good and friendly staff    n nfood       nservice       nambience      noverall                      n  good ambience with tasty food  ncheese chilli paratha with bhutta palak methi curry is a good combo  nlemon chicken in the starters is a must try item  negg fried rice was also quite tasty  nin the mocktails  recommend  alice in junoon   do not miss it                  n  you can   x     x     x     x     x     x     x     x  t go wrong with jalsa  never been a fan of their buffet and thus always order alacarte   x     x     x     x     x     x     x     x    service at times can be on the slower side but food is worth the wait                  n  overdelighted by the service and food provided at this place  a royal and ethnic atmosphere builds a strong essence of being in india and also the quality and taste of food is truly authentic  i would totally recommend to visit this place once                  n  the place is nice and comfortable  food wise all jalea outlets maintain a good standard  the soya chaap was a standout dish  clearly one of trademark dish as per me and a must try  n nthe only concern is the parking  it very congested and limited to just  cars  the basement parking is very steep and makes it cumbersome                 n  the place is nice and comfortable  food wise all jalea outlets maintain a good standard  the soya chaap was a standout dish  clearly one of trademark dish as per me and a must try  n nthe only concern is the parking  it very congested and limited to just  cars  the basement parking is very steep and makes it cumbersome                 n  the place is nice and comfortable  food wise all jalea outlets maintain a good standard  the soya chaap was a standout dish  clearly one of trademark dish as per me and a must try  n nthe only concern is the parking  it very congested and limited to just  cars  the basement parking is very steep and makes it cumbersome   '"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3=re.sub('rated', ' ',data2)\n",
    "data3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'              n  a beautiful place to dine in the interiors take you back to the mughal era  the lightings are just perfect we went there on the occasion of christmas and so they had only limited items available  but the taste and service was not compromised at all the only complaint is that the breads could have been better would surely like to come here again                  n  i was here for dinner with my family on a weekday  the restaurant was completely empty  ambience is good with some good old hindi music  seating arrangement are good too  we ordered masala papad  panner and baby corn starters  lemon and corrionder soup  butter roti  olive and chilli paratha  food was fresh and good  service is good too  good for family hangout  ncheers                 n  its a restaurant near to banashankari bda  me along with few of my office friends visited to have buffet but unfortunately they only provide veg buffet  on inquiring they said this place is mostly visited by vegetarians  anyways we ordered ala carte items which took ages to come  food was ok ok  definitely not visiting anymore                  n  we went here on a weekend and one of us had the buffet while two of us took ala carte  firstly the ambience and service of this place is great  the buffet had a lot of items and the good was good  we had a pumpkin halwa intm the dessert which was amazing  must try  the kulchas are great here  cheers                  n  the best thing about the place is it                                                s ambiance  second best thing was yummy   food  we try buffet and buffet food was not disappointed us  ntest                   nquality                nservice  staff was very professional and friendly  n noverall e perience was e cellent  n nsubirmajumder   wi site com                 n  great food and pleasant ambience  e pensive but coll place to chill and rela        n nservice is really very very good and friendly staff    n nfood       nservice       nambience      noverall                      n  good ambience with tasty food  ncheese chilli paratha with bhutta palak methi curry is a good combo  nlemon chicken in the starters is a must try item  negg fried rice was also quite tasty  nin the mocktails  recommend  alice in junoon   do not miss it                  n  you can                                                t go wrong with jalsa  never been a fan of their buffet and thus always order alacarte                                                  service at times can be on the slower side but food is worth the wait                  n  overdelighted by the service and food provided at this place  a royal and ethnic atmosphere builds a strong essence of being in india and also the quality and taste of food is truly authentic  i would totally recommend to visit this place once                  n  the place is nice and comfortable  food wise all jalea outlets maintain a good standard  the soya chaap was a standout dish  clearly one of trademark dish as per me and a must try  n nthe only concern is the parking  it very congested and limited to just  cars  the basement parking is very steep and makes it cumbersome                 n  the place is nice and comfortable  food wise all jalea outlets maintain a good standard  the soya chaap was a standout dish  clearly one of trademark dish as per me and a must try  n nthe only concern is the parking  it very congested and limited to just  cars  the basement parking is very steep and makes it cumbersome                 n  the place is nice and comfortable  food wise all jalea outlets maintain a good standard  the soya chaap was a standout dish  clearly one of trademark dish as per me and a must try  n nthe only concern is the parking  it very congested and limited to just  cars  the basement parking is very steep and makes it cumbersome   '"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data4=re.sub('x',' ',data3)\n",
    "data4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### remove multiple spaces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' n a beautiful place to dine in the interiors take you back to the mughal era the lightings are just perfect we went there on the occasion of christmas and so they had only limited items available but the taste and service was not compromised at all the only complaint is that the breads could have been better would surely like to come here again n i was here for dinner with my family on a weekday the restaurant was completely empty ambience is good with some good old hindi music seating arrangement are good too we ordered masala papad panner and baby corn starters lemon and corrionder soup butter roti olive and chilli paratha food was fresh and good service is good too good for family hangout ncheers n its a restaurant near to banashankari bda me along with few of my office friends visited to have buffet but unfortunately they only provide veg buffet on inquiring they said this place is mostly visited by vegetarians anyways we ordered ala carte items which took ages to come food was ok ok definitely not visiting anymore n we went here on a weekend and one of us had the buffet while two of us took ala carte firstly the ambience and service of this place is great the buffet had a lot of items and the good was good we had a pumpkin halwa intm the dessert which was amazing must try the kulchas are great here cheers n the best thing about the place is it s ambiance second best thing was yummy food we try buffet and buffet food was not disappointed us ntest nquality nservice staff was very professional and friendly n noverall e perience was e cellent n nsubirmajumder wi site com n great food and pleasant ambience e pensive but coll place to chill and rela n nservice is really very very good and friendly staff n nfood nservice nambience noverall n good ambience with tasty food ncheese chilli paratha with bhutta palak methi curry is a good combo nlemon chicken in the starters is a must try item negg fried rice was also quite tasty nin the mocktails recommend alice in junoon do not miss it n you can t go wrong with jalsa never been a fan of their buffet and thus always order alacarte service at times can be on the slower side but food is worth the wait n overdelighted by the service and food provided at this place a royal and ethnic atmosphere builds a strong essence of being in india and also the quality and taste of food is truly authentic i would totally recommend to visit this place once n the place is nice and comfortable food wise all jalea outlets maintain a good standard the soya chaap was a standout dish clearly one of trademark dish as per me and a must try n nthe only concern is the parking it very congested and limited to just cars the basement parking is very steep and makes it cumbersome n the place is nice and comfortable food wise all jalea outlets maintain a good standard the soya chaap was a standout dish clearly one of trademark dish as per me and a must try n nthe only concern is the parking it very congested and limited to just cars the basement parking is very steep and makes it cumbersome n the place is nice and comfortable food wise all jalea outlets maintain a good standard the soya chaap was a standout dish clearly one of trademark dish as per me and a must try n nthe only concern is the parking it very congested and limited to just cars the basement parking is very steep and makes it cumbersome '"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "re.sub(' +',' ',data4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### analyse review of a particular restaurant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=df[df['rest_type']=='Quick Bites']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(dataset['reviews_list'][3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_review=' '\n",
    "for review in dataset['reviews_list']:\n",
    "    review=review.lower()\n",
    "    review=re.sub('[^a-zA-Z]', ' ',review)\n",
    "    review=re.sub('rated', ' ',review)\n",
    "    review=re.sub('x',' ',review)\n",
    "    review=re.sub(' +',' ',review)\n",
    "    total_review=total_review + str(review)\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 799.5, 799.5, -0.5)"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wordcloud = WordCloud(width = 800, height = 800, \n",
    "                background_color ='white', \n",
    "                stopwords = stopwords, \n",
    "                min_font_size = 10).generate(total_review) \n",
    "# plot the WordCloud image                        \n",
    "plt.figure(figsize = (8, 8)) \n",
    "plt.imshow(wordcloud) \n",
    "plt.axis(\"off\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [],
   "source": [
    "def importance(restaurant):\n",
    "    dataset=df[df['rest_type']==restaurant]\n",
    "    total_review=' '\n",
    "    for review in dataset['reviews_list']:\n",
    "        review=review.lower()\n",
    "        review=re.sub('[^a-zA-Z]', ' ',review)\n",
    "        review=re.sub('rated', ' ',review)\n",
    "        review=re.sub('x',' ',review)\n",
    "        review=re.sub(' +',' ',review)\n",
    "        total_review=total_review + str(review)\n",
    "    wordcloud = WordCloud(width = 800, height = 800, \n",
    "            background_color ='white', \n",
    "            stopwords = set(STOPWORDS), \n",
    "            min_font_size = 10).generate(total_review) \n",
    "    # plot the WordCloud image                        \n",
    "    plt.figure(figsize = (8, 8)) \n",
    "    plt.imshow(wordcloud) \n",
    "    plt.axis(\"off\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "importance('Quick Bites')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}